Cited by 0Proteins in Food SystemsSeed and Plant BiochemistryPolysaccharides Composition and Applications

Structure-function design of amaranth, buckwheat and quinoa proteins as hydrocolloids for emulsion and gel structuring

Open access
Yan, Xinyi, Zhu, Fan·2027·Food Hydrocolloids

Abstract

Amaranth, buckwheat and quinoa are representative pseudocereals for developing plant-protein hydrocolloids. They were selected because their proteins share globulin/albumin-dominant storage profiles yet differ in fraction distribution, aggregation propensity, and co-extracted components, providing a useful basis for comparative structure-function analysis. Although primary studies have reported solubility, emulsification, foaming, gelation, and digestibility, cross-study interpretation remains limited by inconsistent extraction conditions, colloidal-state reporting, and insufficient separation of molecular adsorption, particle-assisted stabilization, and bulk network formation. This review addresses this gap by synthesizing 100 references within a common structure-process-interface framework. Composition, proteoform distribution, oligomeric assembly, particle size, charge, secondary/tertiary structure, and co-extracted modifiers, such as phenolics, saponins, phytate, and polysaccharides are linked to functional outcomes in emulsions, pickering systems, high-internal-phase emulsions, emulsion gels, foams, gels, and digestion models. The comparison shows that mild pH-shift, ultrasound, and high-pressure homogenization can convert micron-scale flocs into charged submicron particles and improve dispersibility/interfacial activity, whereas stronger thermal, alkaline, covalent, or fibrillation treatments favor β -sheet-rich aggregates, microgels, and networks suited to gel and structured-emulsion design. Co-extracted components are not reviewed as independent ingredients but as modifiers that can alter protein aggregation, interfacial films, oxidation protection, and enzyme accessibility. We identify standardized descriptors needed for evidence-weighted benchmarking and future machine-learning-assisted design of pseudocereal seed-protein ingredients.

Verified 2026-11-06 · 4 references not checked yet

AI snapshot

Written from the paper’s full text.

TL;DR

This review synthesizes 100 references to compare amaranth, buckwheat, and quinoa seed proteins within a shared structure–process–interface framework, arguing that their functionality is governed by extraction history, co-extracted components, and processing-induced colloidal state rather than by crop identity. It proposes standardized descriptors as a prerequisite for evidence-weighted benchmarking and future machine-learning-assisted design of pseudocereal protein hydrocolloids.

Key findings

  • All three pseudocereals share a globulin/albumin-dominant storage profile rather than a prolamin-dominant one, but fraction distributions differ: amaranth is albumin-rich (46–65%) with 7S/11S globulins (16–20%); buckwheat is globulin-rich (8S/13S, 43–65%) with 2S albumin (13–18%); quinoa has substantial 2S albumin (27–35%) and 11S globulin (37–41%). Reported grain protein contents span 12.7–19.8% (amaranth), 5.7–18.6% (buckwheat), and 9.1–15.7% (quinoa).
  • Mild treatments (pH-shift, ultrasound, high-pressure homogenization) convert micron-scale flocs into charged submicron particles: amaranth flocs of 1.1–1.2 μm are reduced to 0.4–0.6 μm, and quinoa flocs of 0.8–1.2 μm to 0.15–0.5 μm, with ζ-potential magnitude rising (e.g., quinoa from ~20–30 mV to 35–45 mV). Stronger thermal, alkaline, covalent, or fibrillation treatments instead favor β-sheet-rich aggregates, microgels, and networks suited to gels and structured emulsions.
  • Reported secondary structure is β-dominated across all three (α-helix often <20%, β-sheet plus β-turn frequently >60%), consistent with cupin-like β-barrel legumins; apparent β-sheet increases can reflect intermolecular aggregation rather than intramolecular change.
  • Co-extracted components act as active modifiers: phenolics and saponins mainly affect interfacial behavior, antioxidant partitioning, and mixed films, whereas phytate, minerals, and residual polysaccharides more strongly affect aggregation, charge screening, hydration, gelation, and digestion. Moderate association can stabilize; excessive binding or crosslinking can reduce solubility and impair emulsification.

Methods

  • Structured comparative synthesis (explicitly not a formal systematic review or meta-analysis), searching PubMed, Scopus, and Web of Science with terms covering amaranth, buckwheat, quinoa, pseudocereal, protein, extraction, structure, functionality, emulsion, gelation, digestibility, and machine learning; no strict publication-year exclusion.
  • 100 references retained; primary research articles served as the main evidence base, with reviews used only for background, terminology, and gap definition. Inclusion required protein-level information (extraction, fractionation, structural/physicochemical/functional characterization, emulsion/gel application, digestion, delivery, or data-driven design); whole-grain, agronomy, non-protein nutrition, and poorly described studies were excluded.
  • Relevance and reporting quality assessed with a fit-for-purpose checklist (protein source, extraction history, analytical methods, functional assay conditions, mechanistic relevance); amino acid data standardized to g/100 g protein where conversion was possible, with non-comparable bases used only qualitatively. Findings integrated into an evidence-weighted structure–process–function synthesis (Table 4) with qualitative confidence labels.

Limitations

  • Stated: cross-study comparison is limited by inconsistent extraction conditions, precipitation endpoints, co-component retention, and reporting conditions; solubility, emulsification, foaming, and gelation are all strongly determined by measurement and formulation conditions, so performance should not be attributed to a single descriptor such as particle size, β-sheet content, surface hydrophobicity, or ζ-potential.
  • Stated: Pickering stabilization is often inferred from droplet microscopy alone, and interfacial adsorption kinetics/rheology are rarely measured; direct evidence for protein–saponin interfacial competition remains limited; standardized DIAAS or true ileal digestibility data are scarce, and many digestion results rely on static in vitro assays.
  • Stated: machine-learning and QSPR modelling are currently constrained by heterogeneous, incomplete datasets, so ML's role is framed as data organization and hypothesis generation rather than definitive prediction. Evident from the text: this is a review with no new primary experimental data, and evidence confidence was assigned qualitatively rather than through formal meta-analysis.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.foodhyd.2026.113137

Cites

98 of 102 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

19 of 275 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured

  • Interpretationcitation
    § 3.1.2. Amino acid profiles · p. 5

    The effective availability of amino acid profiles during digestion depends on matrix associations.

    “Likewise, the effective availability of amino acid profiles during diges­ tion depends on matrix associations.”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites Lițoiu et al., 2025 source

      Section 2.2 (Proteins; page unavailable) describes buckwheat’s amino acid profile, while Section 2.5 (Vitamins and Minerals; page unavailable) explains that release from the food matrix during digestion affects bioaccessibility. The latter discussion concerns minerals and bioactive compounds, not whether matrix associations determine the digestive availability of amino acids. (LLM, conf=0.78)

      Experimental — accuracy not yet measured
    • cites Fu et al., 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Interpretationcitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    The same protein can form very different colloidal states depending on processing severity and chemical association.

    “These results illustrate that the same protein can form very different colloidal states depending on processing severity and chemical associ­ ation”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Alimi et al., 2024 source
    • cites Mykolenko et al., 2024 source

      Section 3.4.6 (page unavailable) reports that amaranth fibril morphologies varied with incubation temperature and duration, supporting the processing-severity part of the claim. Section 3.4.4 discusses possible hydrogen-bond disruption during hydrolysis, but the paper does not establish chemical association as a separate determinant of the different colloidal states. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Interpretationcitation
    § 3.1.2. Amino acid profiles · p. 5

    Whether these reactions translate into measurable functional changes depends on processing treatments and conditions.

    “However, whether these reactions translate into measurable functional changes depends on processing treatments and conditions”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites Das et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Lin et al., 2025 source
  • Premisecitation
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    Common buckwheat 2S albumins contain established allergenic proteins, including Fag e 1 and Fag e 2.

    “Common buckwheat 2S albumins contain established allergenic proteins, including Fag e 1 and Fag e 2.”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Katsube-Tanaka & Monshi, 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Ninomiya et al., 2022 source

      The Introduction discusses buckwheat albumin and its functional properties, but does not identify 2S albumins or allergenic proteins. Searches for Fag e 1, Fag e 2, 2S albumin, and allergy found no passage addressing the claim in our copy; page numbers were unavailable. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
  • Premisecitation
    § 3.1.7. Saponins · p. 7

    Saponins are most relevant in quinoa protein ingredients because their retention depends strongly on washing, soaking, alkaline extraction, and isoelectric precipitation conditions.

    “Saponins are most relevant in quinoa protein ingredients because their retention depends strongly on washing, soaking, alkaline extrac­ tion, and isoelectric precipitation conditions”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Manzanilla-Valdez et al., 2024 source

      Section 4.10.6 (page unavailable) reports saponin levels in quinoa protein ingredients and suggests that water-soluble saponins may become concentrated during protein extraction. It does not establish that retention depends strongly on washing, soaking, alkaline extraction, or isoelectric precipitation conditions individually, or that saponins are the most relevant compounds in these ingredients. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • May combine two claims. 88
  • Classified as probably not a substantial claim. 16
  • May combine two claims.

    Premisecitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    Higher extraction pH and harsher treatments increase void-volume aggregates, which is consistent with irreversible association and altered solubility and interfacial behavior.

    “Higher extraction pH and harsher treatments increase void-volume aggregates, which is consistent with irreversible association and altered solubility and interfacial behavior”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Cui et al., 2025 source

      The Results sections on solubility and heat-induced aggregation (page unavailable) link extreme alkaline extraction and heating to aggregation and reduced solubility; the interfacial-properties section reports differences between extraction pHs. But the paper does not identify the aggregates as void-volume aggregates or establish irreversible association. It also reports less additional heat-induced aggregation for protein extracted at pH 11 than at pH 9, so higher extraction pH does not uniformly increase aggregation under harsher treatment. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites Liu et al., 2023 source

      Sections 3.1–3.3 report aggregation at high extraction pH and link it to reduced solubility. They do not report void-volume aggregates, establish irreversible association, or measure a change in interfacial behavior; the Introduction mentions interfacial properties only as a general functional property affected by extraction pH. The paper studied extraction pH, not other harsher treatments. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation
    § 3.1.2. Amino acid profiles · p. 5

    Amaranth is often reported with lysine contents of around 5.7-10.1 g/100 g protein and methionine of 3.0-4.7 g/100 g protein, supporting its applications to complementary formulations.

    “Amaranth is often reported with lysine contents of around 5.7-10.1 g/100 g protein and methionine of 3.0-4.7 g/100 g protein, supporting its applications to complementary formulations”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Pathan & Siddiqui, 2022 source

      Sections 2.1 (Protein) and 2.5 (Essential Amino Acids) give lysine and methionine values for quinoa leaves; section 2.5 mentions amaranth only as a comparison for methionine. Searches for the stated amaranth ranges and complementary formulations found no passage addressing either point. (LLM, conf=0.75)

      Experimental — accuracy not yet measured
    • cites Toimbayeva et al., 2025 source

      Section 2.1 describes amaranth as rich in lysine and methionine, and the paper discusses its use in food formulations. It reports lysine at 55–65 mg/g or higher, but the passages in our copy do not establish the claimed 5.7–10.1 g/100 g protein lysine range or the 3.0–4.7 g/100 g protein methionine range. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 9

    Treatments that reduce aggregate size and increase ζ-potential magnitude (pH-shift combined with heating or ultrasound, high-pressure homogenization) commonly accelerate interfacial coverage and improve stability for quinoa.

    “Treatments that reduce aggregate size and increase ζ -potential magnitude (pH-shift combined with heating or ul­ trasound, high-pressure homogenization) commonly accelerate interfa­ cial coverage and improve stability (Wang et al., 2025a; Zhao et al., 2023b).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Wang et al., 2025a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhao et al., 2023b source
  • May combine two claims.

    Interpretationcitation
    § 3.1.11. Limitations and interpretation · p. 8

    Their shared globulin/albumin basis provides a common starting point, but extraction pH, fraction recovery, co-component retention, and post-extraction processing shift them into different structural states, including soluble albumin-rich fractions, globulin-dominant oligomers, loose flocs, submicron particles, microgels, and fibrillar or β-sheet aggregates.

    “Their shared globulin/albumin basis provides a common starting point, but extraction pH, fraction recovery, co-component retention, and post-extraction processing shift them into different structural states, including soluble albumin-rich fractions, globulindominant oligomers, loose flocs, submicron particles, microgels, and fibrillar or β -sheet aggregates”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Graziano et al., 2022 source
    • cites Rashwan et al., 2025 source

      Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation
    § 3.1.11. Limitations and interpretation · p. 8

    Reported protein contents, Osborne-type fractions, SDS-PAGE profiles, SEC/HPSEC distributions, DLS particle size, ζ-potential, FTIR/CD spectra, and fluorescence responses are all sensitive to extraction pH, solvent system, ionic strength, defatting, dilution, filtration, drying, and residual co-components.

    “Reported protein contents, Osborne-type fractions, SDS-PAGE profiles, SEC/H­ PSEC distributions, DLS particle size, ζ -potential, FTIR/CD spectra, and fluorescence responses are all sensitive to extraction pH, solvent system, ionic strength, defatting, dilution, filtration, drying, and residual co-components”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Cui et al., 2025 source

      The Results and discussion section reports that extraction pH changed protein yield, purity, and co-extracted carbohydrate content; the Conclusions also report effects on protein profiles and heat-induced aggregation. The paper does not establish that all the listed measurements are sensitive to every listed preparation factor. Defatting and freeze-drying appear as fixed preparation steps, not variables tested for their effects; the cited passages do not address Osborne fractions, SEC/HPSEC, ζ-potential, FTIR/CD, or fluorescence. Page numbers were not available in our copy. (LLM, conf=0.89)

      Experimental — accuracy not yet measured
    • cites Mir et al., 2024 source
    • cites Sultan et al., 2024 source
  • May combine two claims.

    Findingnone given
    § 3.1.1. Protein fractions and polypeptide patterns · p. 4

    All three crops differ from prolamin-rich cereals and are typically dominated by water/salt-extractable fractions.

    “In terms of storage proteins, all three crops differ from prolamin-rich cereals and are typically dominated by water/salt-extractable fractions.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    These changes are consistent with chromophore-tryptophan interactions and the formation of more rigid, aggregated tertiary structures.

    “Together, these changes are consistent with chromophore-tryptophan interactions and the formation of more rigid, aggregated tertiary structures”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Li et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhang et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Under broadly comparable alkaline extraction/isoelectric precipitation, reported α-helix fractions are often less than 20%, while β-sheet plus β-turn contributions frequently exceed 60%.

    “Under broadly comparable alkaline extrac­ tion/isoelectric precipitation, reported α -helix fractions are often less than 20%, while β -sheet plus β -turn contributions frequently exceed 60%”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Yan & Zhu, 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning
    § A B S T R A C T · p. 2

    Processing can shift proteins toward different structural and colloidal states, which are then associated with different emulsion-stabilization mechanisms under specific formulation conditions.

    “Processing further amplifies this variability because it can shift proteins toward different structural and colloidal states, which are then associated with different emulsion-stabilization mechanisms under specific formulation conditions.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Increasing extraction pH or applying ultrasonication often shifts spectra toward higher disorder (random coil), consistent with loosening of tertiary packing and increased enzymatic accessibility.

    “Increasing extraction pH or applying ultrasonication often shifts spectra toward higher disorder (random coil), consistent with loosening of tertiary packing and increased enzymatic accessibility”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wu et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.1. Protein fractions and polypeptide patterns · p. 4

    The globulin-rich profile of buckwheat is frequently associated with stronger self-association and denser gel structures, but also poorer dispersion uniformity under matched conditions.

    “This globulin-rich profile is frequently associated with stronger self-association and denser gel structures, but also poorer dispersion uniformity under matched conditions (Lițoiu et al., 2025).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Lițoiu et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationreasoning
    § 3.1.3. Molecular mass and aggregation states · p. 6

    All three pseudocereals share a legumin-like oligomeric structure but differ in their shifting between soluble oligomers, reversible flocs, crosslinked microgels/irreversible aggregates and fibrillar networks under processing.

    “Collectively, these results support that all three pseudocereals share a legumin-like oligomeric structure but differ in their shifting between soluble oligo­ mers, reversible flocs, crosslinked microgels/irreversible aggregates and fibrillar networks under processing.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisenone given
    § 3.1.3. Molecular mass and aggregation states · p. 6

    SEC profiles depend on column chemistry, eluents and whether aggregates are filtered out, while DLS is highly sensitive to dilution, ionic strength and residual polysaccharides or phenolics.

    “SEC profiles depend on column chemistry, eluents and whether aggregates are filtered out, while DLS is highly sensitive to dilution, ionic strength and residual polysaccharides or phenolics.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    Isolation can bias recovery toward globulins while reducing low-MW species that adsorb rapidly and are disproportionately important for foaming and interfacial coverage.

    “This pattern suggests that isolation can bias recovery toward globulins while reducing low-MW species that adsorb rapidly and are disproportionately important for foaming and interfacial coverage”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Aguilar-Padilla et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Malik et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    Quinoa also contain 7S/13S proglobulin at 45-60 kDa and 2S albumins at 8-16 kDa, whose relative intensity varies with cultivar and extraction pH.

    “They also contain 7S/13S proglobulin at 45-60 kDa and 2S albumins at 8-16 kDa, whose relative intensity varies with cultivar and extraction pH”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Tavano et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisenone given
    § 3.1.3. Molecular mass and aggregation states · p. 6

    Buckwheat exhibits a comparable legumin-structure but a different aggregation state.

    “Buckwheat exhibits a comparable legumin-structure but a different aggregation state.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given
    § A B S T R A C T · p. 2

    Most studies still interrogate only one factor at a time, making it difficult to connect protein structure directly with final hydrocolloid performance.

    “However, most studies still interrogate only one factor at a time, making it difficult to connect protein structure directly with final hydrocolloid performance.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    The presence of allergenic 2S albumins in common buckwheat complicates fraction selection for emulsion applications and supports fraction-processing rather than treating buckwheat protein as a single ingredient.

    “This finding complicates fraction selection for emulsion applications and supports fraction-processing rather than treating buckwheat protein as a single ingredient”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Katsube-Tanaka & Monshi, 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Ninomiya et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.2. Amino acid profiles · p. 5

    Buckwheat sulfur-containing amino acid values are more variable and should be interpreted cautiously because methionine and cysteine are sensitive to hydrolysis and analytical conditions.

    “whereas sulfur-containing amino acid values are more variable and should be interpreted cautiously because methi­ onine and cysteine are sensitive to hydrolysis and analytical conditions”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Rao & Poonia, 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Zhang et al., 2023 source
  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Spectroscopic studies (FTIR/CD) show β-sheet-rich globulins with modest α-helix contents in amaranth, buckwheat and quinoa proteins, consistent with the cupin-like β-barrel structure of 11S/13S legumins.

    “Spectroscopic studies (FTIR/CD) show β -sheet-rich globulins with modest α -helix contents in amaranth, buckwheat and quinoa proteins, consistent with the cupin-like β -barrel structure of 11S/13S legumins”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Rao & Poonia, 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    At the colloidal scale, DLS at neutral pH often reports broad micron-scale distributions (1.1-1.2 μm), which can be disassociated into submicron particles (0.4-0.6 μm) by dual pH-shift combined with ultrasound.

    “At the colloidal scale, DLS at neutral pH often reports broad micron-scale distributions (1.1-1.2 μ m), which can be disassociated into submicron particles (0.4-0.6 μ m) by dual pH-shift combined with ultrasound”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Figueroa-González et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Nanoparticle formation or fibrillation further strengthens β-sheet signatures and fluorescence perturbations, consistent with more extensive aggregation and tighter intermolecular packing.

    “Nanoparticle for­ mation or fibrillation further strengthens β -sheet signatures and fluo­ rescence perturbations, consistent with more extensive aggregation and tighter intermolecular packing”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Alimi et al., 2024 source
    • cites Mykolenko et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    The major 13S globulins are typically resolved as high-order oligomers (340 kDa) with fewer intermediate SEC peaks than amaranth, consistent with a stronger native oligomeric structure under mild conditions.

    “The major 13S globulins are typically resolved as high-order oligomers (340 kDa) with fewer intermediate SEC peaks than amaranth, consistent with a stronger native oligomeric structure under mild conditions”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Ninomiya et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Choi & Ma, 2006 source
  • May combine two claims.

    Premisenone given
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    Buckwheat shows a legumin-rich pattern dominated by 13S subunits, including broad bands corresponding to α-polypeptide at 30-47 kDa and β-polypeptide at 23-25 kDa, alongside a dense 8-16 kDa range attributed to 2S albumins.

    “Buckwheat shows a legumin-rich pattern dominated by 13S subunits, including broad bands corresponding to α -polypeptide at 30-47 kDa and β -polypeptide at 23-25 kDa, alongside a dense 8-16 kDa range attributed to 2S albumins.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § A B S T R A C T · p. 2

    Structured emulsions, high-internal-phase emulsions, and emulsion gels depend not only on interfacial adsorption but also on continuous-phase thickening, droplet immobilization, and network formation.

    “Gelation is considered in parallel because structured emulsions, high-internal-phase emulsions, and emulsion gels depend not only on interfacial adsorption but also on continuous-phase thickening, droplet immobilization, and network formation.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisenone given
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    Quinoa profiles are typically dominated by 11S globulin (chenopodin), with acidic subunits at 32-39 kDa and basic subunits at 22-23 kDa.

    “Quinoa profiles are typically dominated by 11S globulin (che­ nopedin), with acidic subunits at 32-39 kDa and basic subunits at 22-23 kDa.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning
    § 3.1.1. Protein fractions and polypeptide patterns · p. 5

    SDS-PAGE should be interpreted as a structural fingerprint rather than a quantitative fractionation method.

    “These fraction differences are reflected in polypeptide profiles, although SDS-PAGE should be interpreted as a structural fingerprint rather than a quantitative fractionation method.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    In less purified seed extracts, native amaranthine is commonly described as a legumin-type hexamer (300-390 kDa), whereas flour extracts exhibit additional high-molecular-mass peaks attributed to loosely associated aggregates.

    “In less purified seed extracts, native amaranthine is commonly described as a legumin-type hexamer (300-390 kDa), whereas flour extracts exhibit additional high-molecular-mass peaks attributed to loosely associated aggregates”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Das et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Sidorova et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.3. Molecular mass and aggregation states · p. 6

    Quinoa proteins similarly show chenopodin (11S globulin) as oligomeric assemblies (300-380 kDa) with smaller dissociation products and low-MW albumins (<20 kDa), but the aggregate fraction is particularly sensitive to extraction pH and processing history.

    “Quinoa proteins similarly show che­ nopedin (11S globulin) as oligomeric assemblies (300-380 kDa) with smaller dissociation products and low-MW albumins ( &lt; 20 kDa), but the aggregate fraction is particularly sensitive to extraction pH and pro­ cessing history”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Tavano et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Li et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisenone given
    § 3.1.4. Secondary and tertiary structures · p. 6

    Buckwheat globulins show a similar β-dominated state but a more pronounced sensitivity to covalent/phenolic-driven structuring.

    “Buckwheat globulins show a similar β -dominated ( β -sheet plus β -turn) state but a more pronounced sensitivity to covalent/phenolic-driven structuring.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Dual pH-shift combined with ultrasound markedly reduces the contents of α-helices and β-turns while increasing those of β-sheets and random coils, accompanied by intrinsic-fluorescence red-shifts and quenching that indicate tryptophan exposure and partial loss of tertiary packing.

    “Dual pH-shift combined with ultrasound markedly re­ duces the contents of α -helices and β -turns while increasing those of β -sheets and random coils, accompanied by intrinsic-fluorescence red-­ shifts and quenching that indicate tryptophan exposure and partial loss of tertiary packing”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Figueroa-González et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Maillard glycation and phenolic conjugation commonly decrease α-helix and increase β-sheet and random coil levels while strongly quenching intrinsic fluorescence.

    “In contrast, Maillard glycation and phenolic conjugation commonly decrease α -helix and increase β -sheet and random coil levels while strongly quench intrinsic fluorescence.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Li et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhang et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § 3.1.9. Phytate and mineral components · p. 7

    Unlike phenolics and saponins, phytate has not yet been clearly linked to oil-water or air-water interfacial film formation in pseudocereal protein systems.

    “However, unlike phenolics and saponins, phytate has not yet been clearly linked to oil-water or air-water interfacial film formation in pseudocereal protein systems.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.1.6. Phenolics · p. 7

    In Tartary buckwheat, protein-phenolic covalent complexes have been shown to involve rutin, quercetin, and myricetin, with proteomic evidence identifying specific phenolic-bound peptides and spectroscopic evidence showing secondary and tertiary structural changes.

    “In Tartary buckwheat, protein-phenolic covalent complexes have been shown to involve rutin, quercetin, and myricetin, with proteomic evidence identifying specific phenolic-bound peptides and spectroscopic evidence showing secondary and tertiary structural changes”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Li et al., 2023a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.9. Phytate and mineral components · p. 7

    As a polyanionic antinutrient, phytate can bind minerals and may influence protein aggregation, mineral availability, and enzyme accessibility through charge screening, ion-mediated association, or mineral chelation.

    “As a polyanionic antinutrient, phytate can bind minerals and may influence protein aggregation, mineral availability, and enzyme accessibility through charge screening, ionmediated association, or mineral chelation”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Manzanilla-Valdez et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.2.1. Solubility and dispersibility · p. 8

    Albumin-rich fractions remain comparatively soluble even at mildly acidic pH, indicating that fraction composition is a key confounder when buckwheat protein is treated as a single ingredient.

    “In contrast, albumin-rich fractions remain compara­ tively soluble even at mildly acidic pH, indicating that fraction composition is a key confounder when buckwheat protein is treated as a single ingredient”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ninomiya et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.10. Extraction and processing as structural variables · p. 8

    Extending sonication or adding microbial transglutaminase further shifts the system toward either compact nanoparticles or larger crosslinked clusters depending on energy input and crosslink density.

    “Extending sonication or adding microbial transglutaminase further shifts the system toward either compact nanoparticles or larger crosslinked clusters depending on energy input and crosslink density”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Alimi et al., 2024 source
  • May combine two claims.

    Premisecitation
    § 3.1.6. Phenolics · p. 7

    In quinoa protein systems, covalent or non-covalent decoration with dietary polyphenols altered reactive groups, SDS-PAGE profiles, fluorescence spectra, surface hydrophobicity, FTIR bands, antioxidant activity, and delivery performance, further supporting the role of phenolics as structure-modifying and bioactive co-components.

    “In quinoa protein systems, covalent or non-covalent decoration with dietary polyphenols altered reactive groups, SDS-PAGE profiles, fluorescence spectra, surface hy­ drophobicity, FTIR bands, antioxidant activity, and delivery perfor­ mance, further supporting the role of phenolics as structure-modifying and bioactive co-components”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Chen et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.10. Extraction and processing as structural variables · p. 8

    For amaranth, dual pH-shift combined with ultrasound can disintegrate loose aggregates (1.1-1.2 μm) into submicron particles (0.4-0.6 μm), increase ζ-potential and surface hydrophobicity, and redistribute secondary-structure assignments toward higher β-sheet and random coil.

    “For amaranth, dual pH-shift combined with ultrasound can disintegrate loose aggregates (1.1-1.2 μ m) into submicron particles (0.4-0.6 μ m), increase ζ -potential and surface hydrophobicity, and redistribute secondary-structure assignments toward higher β -sheet and random coil”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Figueroa-González et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisereasoning
    § 3.1.4. Secondary and tertiary structures · p. 6

    This pattern is reflected by relatively small FTIR shifts but pronounced fluorescence changes.

    “This pattern is reflected by relatively small FTIR shifts but pronounced fluorescence changes”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    The mechanism that increased conformational flexibility and hydrophobic exposure leads to faster interfacial adsorption remains inferential unless direct interfacial measurements are available.

    “However, this mechanism remains inferential unless direct interfacial measurements are available”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites de Carvalho Oliveira et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhao et al., 2023b source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Li et al., 2023c

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning
    § 3.1.9. Phytate and mineral components · p. 7

    These compositional and co-component differences help explain the processing-dependent structural and colloidal variability discussed below.

    “These compositional and co-component differences help explain the processing-dependent structural and colloidal variability discussed below.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.1.5. Co-components as structural and functional modifiers · p. 7

    The effects of co-components depend on chemical identity, extraction retention, pH, ionic strength, oxidation state, and formulation.

    “Their effects depend on chemical identity, extraction retention, pH, ionic strength, oxidation state, and formulation”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Tang et al., 2024 source
    • cites Dakhili et al., 2019 source
    • cites Yan & Zhu, 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.2.1. Solubility and dispersibility · p. 8

    Solubility is frequently reported to show a U-shaped profile with a minimum near the isoelectric region, although the exact profile and apparent solubility values remain highly dependent on protein preparation, dilution, equilibration, and separation conditions.

    “Solubility is frequently reported to show a U-shaped profile with a minimum near the isoelectric region, although the exact profile and apparent solubility values remain highly dependent on protein prepa­ ration, dilution, equilibration, and separation conditions”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Yan & Zhu, 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.9. Phytate and mineral components · p. 7

    Phenolics and saponins are more likely to affect molecular emulsification, antioxidant partitioning, interfacial competition, and mixed interfacial films, whereas phytate, minerals and residual carbohydrates may influence aggregation, charge screening, hydration, viscosity, network connectivity, gelation, and digestion.

    “Phenolics and saponins are more likely to affect molecular emulsification, antioxidant partitioning, interfacial competition, and mixed interfacial films, whereas phytate, minerals and residual carbohydrates may influence aggregation, charge screening, hydration, viscosity, network connectivity, gelation, and digestion”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Tang et al., 2024 source
    • cites Li et al., 2023a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Cortez-Trejo et al., 2023 source
  • May combine two claims.

    Interpretationcitation
    § 3.1.11. Limitations and interpretation · p. 8

    A treatment that improves solubility and molecular emulsification may weaken gel-network formation, whereas a treatment that promotes aggregation may impair interfacial adsorption but improve particle stabilization or gelation.

    “For example, a treatment that improves solubility and molecular emulsification may weaken gel-network formation, whereas a treatment that promotes aggregation may impair interfacial adsorption but improve particle stabilization or gelation”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Sultan et al., 2024 source
    • cites Yan et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.2.1. Solubility and dispersibility · p. 8

    Extraction treatments (pH-shift with heating or ultrasound, high-pressure homogenization) can increase the magnitude of ζ-potential and reduce particle size, shifting quinoa dispersions from micron flocs toward submicron particles and improving neutral-pH dispersibility and solubility.

    “Extraction treatments (pH-shift with heating or ultra­ sound, high-pressure homogenization) can increase the magnitude of ζ -potential and reduce particle size, shifting quinoa dispersions from micron flocs toward submicron particles and improving neutral-pH dispersibility and solubility”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Wang et al., 2025a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhao et al., 2023b source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationreasoning
    § 3.1.6. Phenolics · p. 7

    Improvements may arise from stronger interfacial films, antioxidant partitioning, or aggregation control depending on formulation conditions.

    “Therefore, improvements may arise from stronger interfacial films, antioxidant partitioning, or aggregation control depending on formulation conditions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation
    § 3.1.6. Phenolics · p. 7

    Phenolics may improve interfacial and delivery performance when they enhance antioxidant protection or interfacial film cohesion, but may impair molecular emulsification when binding restricts protein flexibility or promotes aggregation.

    “These observations suggest that phenolics may improve interfacial and delivery perfor­ mance when they enhance antioxidant protection or interfacial film cohesion, but may impair molecular emulsification when binding re­ stricts protein flexibility or promotes aggregation”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Tang et al., 2024 source
    • cites Li et al., 2023a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Chen et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.9. Phytate and mineral components · p. 7

    In quinoa protein ingredients, alkaline solubilization followed by isoelectric precipitation can alter antinutritional factors, including phytic acid and saponins, while also changing secondary structure and in vitro protein digestibility.

    “In quinoa protein ingredients, alkaline solubilization followed by isoelectric precipitation can alter antinutritional factors, including phytic acid and saponins, while also changing secondary structure and in vitro protein digestibility”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Manzanilla-Valdez et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • Classified as probably not a substantial claim.

    Interpretationcitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 10

    Because DLS reports hydrodynamic diameter and is sensitive to aggregation and polydispersity, systems described as nanoparticles in the literature should be interpreted cautiously unless size distributions and complementary imaging data are provided.

    “Because DLS reports hydrodynamic diameter and is sensitive to aggregation and polydispersity, systems described as ' nanoparticles ' in the literature should be interpreted cautiously unless size distribu­ tions and complementary imaging data are provided (Kirtil &amp; Yildiz, 2025).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Kirtil & Yildiz, 2025 source
  • May combine two claims.

    Premisecitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 9

    Chemical modifications (glycosylation and phenolic conjugation) can adjust wettability and oxidation resistance, but the same chemistry can also reduce solubility and promote bridging flocculation if conjugation/crosslink density is excessive.

    “Chemical modifications (glycosylation and phenolic conjugation) can adjust wettability and oxidation resistance, but the same chemistry can also reduce solubility and promote bridging flocculation if con­ jugation/crosslink density is excessive (Li et al., 2024b; Luo et al., 2025).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Li et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Luo et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.1.6. Phenolics · p. 7

    Phenolics can interact with proteins through hydrophobic association, hydrogen bonding, π-π interactions, under alkaline and oxidative conditions, covalent coupling with nucleophilic residues such as lysine, cysteine and tyrosine.

    “Phenolics can interact with proteins through hydrophobic associa­ tion, hydrogen bonding, π -π interactions, under alkaline and oxidative conditions, covalent coupling with nucleophilic residues such as lysine, cysteine and tyrosine”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Tang et al., 2024 source
    • cites Li et al., 2023a, 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.10. Extraction and processing as structural variables · p. 8

    These treatments also increase ζ-potential magnitude and hydrophobic exposure while maintaining recognizable globulin structures.

    “These treatments also increase ζ -potential magnitude and hydrophobic exposure while maintaining recognizable globulin struc­ tures”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Chang et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Cui et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation
    § 3.1.7. Saponins · p. 7

    Because saponins are amphiphilic glycosides, they may act as surface-active co-components that compete with proteins at air-water or oil-water interfaces, reduce interfacial tension, or alter the composition of mixed interfacial films.

    “Because saponins are amphiphilic glycosides, they may act as surface-active co-components that compete with proteins at air-water or oil-water interfaces, reduce interfacial tension, or alter the composition of mixed interfacial films”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wang et al., 2024 source
  • May combine two claims.

    Premisecitation
    § 3.2.1. Solubility and dispersibility · p. 8

    Quinoa often shows modest neutral-pH solubility with a sharp rise under alkaline pH, but harsh extraction pH can also drive irreversible aggregation that limits solubility recovery despite increased extractability.

    “Quinoa often shows modest neutral-pH solubility with a sharp rise under alkaline pH, but harsh extraction pH can also drive irreversible aggregation that limits solu­ bility recovery despite increased extractability”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Yan & Zhu, 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.6. Phenolics · p. 7

    Moderate phenolic binding can reduce particle size and enhance antioxidant activity, whereas excessive phenolic addition may promote crosslinking and larger aggregates, indicating that the concentration of bound phenolics determines whether they act mainly as stabilizing modifiers or aggregation promoters.

    “Moderate phenolic binding can reduce particle size and enhance antioxidant activity, whereas excessive phenolic addition may promote crosslinking and larger aggregates, indicating that the concentration of bound phenolics determines whether they act mainly as stabilizing modifiers or aggre­ gation promoters”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Li et al., 2023a, 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisereasoning
    § 3.2.1. Solubility and dispersibility · p. 8

    Buckwheat typically exhibits lower neutral-pH solubility than amaranth under matched conditions, consistent with stronger globulin self-association.

    “Buckwheat typically exhibits lower neutral-pH solubility than amaranth under matched conditions, consistent with stronger globulin self-association.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisereasoning
    § 3.2.1. Solubility and dispersibility · p. 8

    Solubility curves are frequently not directly comparable across studies because the soluble fraction is operationally defined and extraction history affects the aggregation state that dominates at each pH value.

    “However, solubility curves are frequently not directly comparable across studies because the soluble fraction is operationally defined (protein concentration, equilibration time, centrifugation force, filtration), and extraction history affects the aggregation state that dominates at each pH value.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given
    § 3.1.4. Secondary and tertiary structures · p. 6

    Quinoa proteins exhibit broadly similar secondary structures but greater flexibility.

    “Quinoa proteins exhibit broadly similar secondary structures but greater flexibility.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 3.2.1. Solubility and dispersibility · p. 8

    Solubility is therefore treated here not as an isolated quality index, but as a state-dependent descriptor that determines whether proteins enter the next functional regime as soluble molecular emulsifiers, colloidal particles, or network-forming aggregates.

    “Solubility is therefore treated here not as an isolated quality index, but as a state-dependent descriptor that determines whether proteins enter the next functional regime as soluble molecular emulsifiers, colloidal particles, or network-forming aggregates.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.2.1. Solubility and dispersibility · p. 8

    This change increases neutral-pH solubility and modifies rheology.

    “This change increases neutral-pH solubility and modifies rheology”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Das et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.10. Extraction and processing as structural variables · p. 8

    Processing shifts proteins along a continuum from compact globulins to colloidal particles spanning the nanoparticle, submicron particle and microgel scales, and under higher alkaline conditions, to highly aggregated β-rich networks.

    “Across amaranth, buckwheat and quinoa, processing shifts proteins along a continuum from compact globulins to colloidal particles spanning the nanoparticle, submicron particle and microgel scales, and under higher alkaline conditions, to highly aggregated β -rich ( β -sheet, β -turn) networks”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Das et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Li et al., 2024a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.4. Secondary and tertiary structures · p. 6

    Their tertiary packing is stable enough to support legumin oligomerization, yet labile enough to be reprogrammed by pH, heating and shear.

    “Their tertiary packing is stable enough to support legumin oligomerization, yet labile enough to be reprogrammed by pH, heating and shear.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § 3.1.11. Limitations and interpretation · p. 8

    Cross-study comparison remains limited by methodological differences.

    “Cross-study comparison remains limited by methodological differences.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation
    § 3.1.9. Phytate and mineral components · p. 7

    Moderate association may improve antioxidant protection, charge stabilization, or network reinforcement, whereas excessive binding, charge neutralization, covalent crosslinking, or competitive adsorption may reduce solubility, hinder interfacial adsorption, or induce coarse aggregation.

    “Moderate association may improve antioxidant protection, charge stabilization, or network rein­ forcement, whereas excessive binding, charge neutralization, covalent crosslinking, or competitive adsorption may reduce solubility, hinder interfacial adsorption, or induce coarse aggregation”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Li et al., 2023a, 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Chen et al., 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Fu et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.1.10. Extraction and processing as structural variables · p. 8

    Under directed proteolysis and CaCl2-assisted conditions, quinoa can be driven toward amyloid-like fibrils or nanoaggregates, representing a distinct outcome with different interfacial consequences.

    “Under directed proteolysis and CaCl2-assisted conditions, quinoa can be driven toward amyloid-like fibrils or nanoaggregates, representing a distinct outcome with different interfacial consequences”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Chen et al., 2025 source
    • cites Fu et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.1.7. Saponins · p. 7

    Saponins may be beneficial at low levels by assisting interfacial tension reduction, but detrimental at higher levels if they displace proteins from the interface or destabilize protein-dominated films.

    “This distinction is important because saponins may be beneficial at low levels by assisting interfacial tension reduction, but detrimental at higher levels if they displace proteins from the interface or destabilize protein-dominated films”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Dakhili et al., 2019 source
  • May combine two claims.

    Premisecitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 10

    Extreme alkaline extraction, such as pH 11, can accelerate formation of high-MW aggregates; these aggregates reduce solubility and slow interfacial rearrangement, often weakening emulsification despite more unfolding.

    “However, extreme alkaline extraction, such as pH 11, can accelerate formation of high-MW aggregates. These aggregates reduce solubility and slow interfacial rearrangement, which often weaken emulsification despite more unfolding (Cui et al., 2025; Liu et al., 2023; Wang et al., 2025a).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Cui et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Wang et al., 2025a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.2.3. Foaming and air-water interfacial behavior · p. 11

    For buckwheat, albumins foam better (especially under mildly acidic conditions) than globulins, whereas strong globulin self-association can slow adsorption and weaken foam stability.

    “For buckwheat, foaming is strongly dependent on protein fractions. Albumins foam better (espe­ cially under mildly acidic conditions) than globulins, whereas strong globulin self-association can slow adsorption and weaken foam stability (Ninomiya et al., 2022).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ninomiya et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationreasoning
    § 3.3.5. Reproducibility · p. 16

    Reproducibility is the main bottleneck for making protein datasets comparable and transferable across studies because variance is dominated by ingredient provenance and extraction history, and protocol drift in functional assays.

    “Reproducibility is the main bottleneck for making protein datasets comparable and transferable across studies because variance is domi­ nated by: (i) ingredient provenance and extraction history, (ii) protocol drift in functional assays.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationcitation
    § 3.3.1. Comparative perspectives · p. 14

    Comparable descriptors are needed before machine learning can identify robust predictors.

    “Comparable descriptors are needed before machine learning can identify robust predictors”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Shruti et al. (2023) source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Yu et al. (2025)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Kuhl (2025) source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    High-pressure homogenization increases the flexibility and surface exposure of quinoa protein molecules without markedly changing their SDS-PAGE profiles, suggesting that physical restructuring can improve functionality mainly by modifying colloidal and conformational states rather than by changing primary protein composition.

    “High-pressure homogenization also increases the flexibility and surface exposure of quinoa protein molecules without markedly changing their SDS-PAGE profiles, suggesting that physical restructuring can improve functionality mainly by modifying colloidal and conformational states rather than by changing primary protein composition (Luo et al., 2022).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Luo et al., 2022 source
  • May combine two claims.

    Interpretationcitation
    § 3.3.1. Comparative perspectives · p. 14

    Phenolics and saponins mainly modify interfacial behavior, whereas polysaccharides, phytate, and minerals more strongly affect bulk aggregation, rheology, and digestion.

    “Phenolics and saponins mainly modify interfacial behavior, whereas polysaccharides, phytate, and minerals more strongly affect bulk aggregation, rheology, and digestion”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Li et al. (2023a)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Li et al. (2024b)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Chen et al. (2024b)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 3.3.2. Data standardization and machine learning modelling · p. 15

    Future models should treat extraction history and formulation as determinant variables rather than as background information.

    “These examples indicate that future models should treat extraction history and formulation as determinant variables rather than as background infor­ mation.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.3.2. Data standardization and machine learning modelling · p. 15

    High-pressure homogenization reduced the particle size of quinoa protein isolate, improved solubility, enhanced emulsifying and foaming properties, accelerated surface/interfacial tension reduction, and strengthened heat-induced gels, under a specific extraction route, protein concentration, pressure range, and pH condition.

    “high-pressure homogenization reduced the particle size of quinoa protein isolate, improved solubility, enhanced emulsifying and foaming properties, accelerated surface/interfacial tension reduction, and strengthened heat-induced gels, but these outcomes were generated under a specific extraction route, protein concentration, pressure range, and pH condition (Luo et al., 2022).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Luo et al., 2022 source
  • May combine two claims.

    Premisecitation
    § 3.3.3. Multi-omics and proteoforms · p. 15

    Genetic polymorphisms, isoforms, and processing-derived modifications adjust charge, hydrophobicity and redistribute aggregation, so the same nominal isolate can map to different SEC and DLS states, ζ-potential and interfacial behaviors.

    “Genetic polymorphisms, isoforms, and processing-derived modifications adjust charge, hydrophobicity and redistribute aggrega­ tion, so the same nominal isolate can map to different SEC and DLS states, ζ -potential and interfacial behaviors (Mylvaganam et al., 2025; Yan et al., 2025).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Mylvaganam et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Yan et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisenone given
    § 3.3.1. Comparative perspectives · p. 13

    Most amaranth protein functionality studies still concentrate on a narrow subset of species (usually A. hypochondriacus), and broader cross-species benchmarking remains thin.

    “For amaranth, most protein functionality studies still concentrate on a narrow subset of species (usually A. hypochondriacus ), and broader cross-species benchmarking remains thin.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 10

    For amaranth, pH-shift combined with ultrasonication reduced loose flocs from 1.1-1.2 μm to 0.4-0.6 μm, with higher ζ-magnitude and increased surface hydrophobicity, typical of a move toward submicron particle stabilization.

    “For amaranth, pH-shift combined with ultrasonication reduced loose flocs from 1.1-1.2 μ m to 0.4-0.6 μ m, with higher ζ -magnitude and increased surface hydrophobicity, which is typical of a move toward submicron particle stabilization (Figueroa-Gonz ´ alez et al., 2022).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Figueroa-Gonzalez et al., 2022 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Alkaline solubilization coupled with isoelectric precipitation modified quinoa protein secondary structure and improved in vitro digestibility, while also changing antinutritional components such as phytic acid, saponins, oxalates, and phenolics.

    “alkaline solubilization coupled with isoelectric precipitation modified quinoa protein secondary structure and improved in vitro digestibility, while also changing antinutritional components such as phytic acid, saponins, oxalates, and phenolics (Manzanilla-Valdez et al., 2024).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Manzanilla-Valdez et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationcitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Mild enzymatic and mineral-assisted structuring can improve gelation, but only through an appropriate processing treatment.

    “This shows that mild enzymatic and mineral-assisted struc­ turing can improve gelation, but only through an appropriate processing treatment (Fu et al., 2025).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fu et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationcitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Water-based extraction and mechanically assisted extraction offer a more targeted route for preserving functionality, but they involve trade-offs between extraction yield, protein purity, and retained co-components.

    “Water-based extraction and mechanically assisted extraction offer a more targeted route for preserving functionality, but they involve trade-offs between extraction yield, protein purity, and retained co-components (Wang et al., 2024).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Wang et al., 2024 source
  • May combine two claims.

    Interpretationcitation
    § 3.2.2. Molecular emulsification, Pickering emulsions and particle-based stabilization · p. 10

    Overall, submicron particles and microgels are usually the more robust route for Pickering, HIPEs and emulsion-gel structuring, while nanoparticles are preferable to fine emulsions with rapid adsorption.

    “Overall, submicron particles and microgels are usually the more robust route for Pickering, HIPEs and emulsion-gel structuring, while nanoparticles are preferable to fine emulsions with rapid adsorption (Zhang et al., 2026; Luo et al., 2022).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Zhang et al., 2026 source
    • cites Luo et al., 2022 source
  • May combine two claims.

    Premisecitation
    § 3.2.6. Limitations and interpretation · p. 13

    Gelation of pseudocereal proteins depends on thermal history, ionic environment, and network conformation.

    “gelation depends on thermal history, ionic environment, and network conformation (Qu et al., 2025; Tian et al., 2024; Xu et al., 2023).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Qu et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Tian et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Xu et al., 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Neutral-pH fibrillation of quinoa protein promoted by bromelain hydrolysis and CaCl2 coordination increased fibril length and parallel β-sheet content under optimized conditions, whereas excessive CaCl2 caused fibril clustering and reduced gelation performance.

    “Neutral-pH fibrillation of quinoa protein promoted by bromelain hydrolysis and CaCl2 coordination increased fibril length and parallel β -sheet content under optimized conditions, whereas excessive CaCl2 caused fibril clustering and reduced gelation performance (Fu et al., 2025).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fu et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.3.1. Comparative perspectives · p. 13

    Genotypic effect affects safety and functionality constraints, exemplified by the focus on 2S albumin allergenic proteins in common buckwheat, which is often absent in Tartary functional work.

    “genotypic effect also affects safety and func­ tionality constraints, exemplified by the focus on 2S albumin allergenic proteins in common buckwheat, which is often absent in Tartary func­ tional work (Katsube-Tanaka &amp; Monshi, 2022).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Katsube-Tanaka & Monshi, 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning
    § 3.2.4. Gelation, emulsion gels and structured emulsions · p. 12

    Stronger processing does not consistently yield better gels; the key variable is whether aggregation remains controlled enough to support network percolation.

    “According to the studies reviewed here, stronger processing does not consistently yield better gels. The key variable is not simply the amount of aggregation, but whether aggregation remains controlled enough to support network percolation.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation
    § 3.3.3. Multi-omics and proteoforms · p. 15

    Top-down proteomics is uniquely positioned to quantify proteoform distributions without enzymatic digestion, thereby linking SDS-PAGE bands/SEC peaks to specific chemical variants and enabling causality rather than correlation in structure-function relationships.

    “Top-down proteomics is uniquely positioned to quantify proteo­ form distributions without enzymatic digestion, thereby linking SDS-PAGE bands/SEC peaks to specific chemical variants and enabling causality rather than correlation in structure-function relationships (Roberts et al., 2024).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Roberts et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation
    § 3.3.1. Comparative perspectives · p. 13

    Crop genetics should be treated as an important variable in cross-study comparisons and machine-learning datasets.

    “These findings support the view that crop genetics should be treated as an important variable in cross-study comparisons and machine-learning datasets (Alsaleem et al., 2024; Xi et al., 2024).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Alsaleem et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Xi et al., 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisenone given
    § 3.3.1. Comparative perspectives · p. 13

    Amaranth, buckwheat, and quinoa have relatively higher lysine content and greater contribution of albumin/globulin fractions than many prolamin- or glutelin-dominant cereals.

    “their relatively higher lysine content and greater contri­ bution of albumin/globulin fractions distinguish them from many pro­ lamin- or glutelin-dominant cereals.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Blending quinoa protein amyloid-like fibrils with 2S albumin improved air-water interfacial behavior, foam capacity, and foam stability, suggesting that precision structuring can be used to design interface-active networks rather than only bulk gels.

    “blending quinoa protein amyloid-like fibrils with 2S albumin improved air-water interfacial behavior, foam capacity, and foam stability, suggesting that precision structuring can be used to design interface-active networks rather than only bulk gels (Chen et al., 2025).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Chen et al., 2025 source
  • May combine two claims.

    Premisecitation
    § 3.3.1. Comparative perspectives · p. 13

    Tartary buckwheat is consistently described as much richer in phenolic-related traits and is therefore more prone to protein-phenolic association during extraction and pH-shift processing.

    “Tartary buckwheat is consistently described as much richer in phenolic-related traits and is therefore more prone to protein-phenolic association during extraction and pH-shift processing.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Lin et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Yan & Zhu, 2026 source
    • cites Zou et al., 2023 source
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning
    § 3.3.1. Comparative perspectives · p. 13

    Oat proteins provide another useful reference because they combine cereal-like use contexts with a relatively high globulin contribution and non-protein matrix effects.

    “Oat proteins provide another useful reference because they combine cereal-like use contexts with a relatively high globulin contribution and non-protein matrix effects.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.3.2. Data standardization and machine learning modelling · p. 15

    Extraction pH altered quinoa protein extractability, particle size, ζ-potential, surface hydrophobicity, solubility, and gelation behavior.

    “extraction pH altered quinoa protein extractability, particle size, ζ -potential, surface hydro­ phobicity, solubility, and gelation behavior”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Interpretationcitation
    § 3.3.3. Multi-omics and proteoforms · p. 15

    The ingredient is a proteoform ensemble rather than a single molecule, which is a persistent reason why protein datasets diverge across studies.

    “A persistent reason why protein datasets diverge across studies is that the ingredient is a proteoform ensemble rather than a single molecule.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Mylvaganam et al., 2025 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Yan et al., 2025

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    In quinoa protein isolates, high-pressure homogenization disrupts large aggregates, reduces particle size from the micro scale to the submicron range, improves water solubility, enhances emulsifying and foaming performance, accelerates surface/interfacial tension reduction, and strengthens heat-induced gels.

    “In quinoa protein isolates, high-pressure homogenization disrupts large aggregates, reduces parti­ cle size from the micro scale to the submicron range, improves water solubility, enhances emulsifying and foaming performance, accelerates surface/interfacial tension reduction, and strengthens heat-induced gels (Yan &amp; Zhu, 2026).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Yan & Zhu, 2026 source
  • May combine two claims.

    Premisecitation
    § 3.3.4. Mild extraction and precision structuring · p. 15

    Conventional alkaline solubilization-isoelectric precipitation can generate relatively high-purity protein isolates, but it can also alter secondary structure, aggregation state, digestibility, and antinutritional-factor profiles.

    “Conventional alkaline solubilization-isoelectric pre­ cipitation can generate relatively high-purity protein isolates, but it can also alter secondary structure, aggregation state, digestibility, and antinutritional-factor profiles (Liu et al., 2023; Manzanilla-Valdez et al., 2024).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Liu et al., 2023 source

      Checked before — its earlier verdict is held back until a new check runs.

    • cites Manzanilla-Valdez et al., 2024 source

      Checked before — its earlier verdict is held back until a new check runs.

  • May combine two claims.

    Premisereasoning
    § 3.2.3. Foaming and air-water interfacial behavior · p. 11

    Under matched conditions, amaranth is often reported to foam better than buckwheat and quinoa at pH 7, which may be related to its higher contribution of soluble, albumin-like, and low-molecular-weight fractions.

    “Under matched conditions, amaranth is often reported to foam better than buckwheat and quinoa at pH 7, which may be related to its higher contribution of soluble, albumin-like, and low-molecular-weight fractions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 3.3.3. Multi-omics and proteoforms · p. 15

    Phenolic conjugation under alkaline/pH-driven routes identifies covalent binding sites and produces distinct phenolic proteoform populations with fluorescence quenching and secondary-structure redistribution that co-vary with antioxidant capacity and interfacial properties.

    “phenolic conjugation under alkaline/pH-driven routes identifies covalent binding sites and produces distinct phenolic proteoform populations with fluorescence quenching and secondary-structure redistribution that co-vary with antioxidant capacity and interfacial properties (Li et al., 2023a, 2024b).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Li et al., 2023a, 2024b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim.

    Study design and conductnone given
    § 3.3.1. Comparative perspectives · p. 13

    Evidence confidence was assigned qualitatively according to study comparability, consistency of reported trends, and availability of mechanistic validation.

    “Evidence confidence was assigned qualitatively according to study comparability, consistency of reported trends, and availability of mechanistic validation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning
    § 4. Conclusions and perspectives · p. 16

    Building standardized, structure-resolved datasets for pseudocereal proteins will improve cross-study comparability, support research benchmarking, and provide a more reliable basis for future machine-learning-assisted design of pseudocereal-protein hydrocolloids.

    “Building such standardized, structure-resolved datasets will improve cross-study comparability, support research benchmarking, and provide a more reliable basis for future machine-learning-assisted design of pseudocereal-protein hydrocolloids.”
    Quote in the paperNot a substantial claim
101 of 101
  • The paper relies on this without support.

    Band intensities of SDS-PAGE depend strongly on extraction history, sample treatment, solubilization and dilution processes.

    “Band intensities of SDS-PAGE depend strongly on extraction history (alkaline solubilization, isoelectric precipitation, salt extraction), sample treatment (reducing or non-reducing), solubilization and dilution processes.”
  • The paper relies on this without support.

    Co-extracted components such as phenolics, saponins, phytate, minerals, and polysaccharides are retained in pseudocereal protein preparations and remain functionally active in them.

    “Pheno­ lics, saponins, phytate, minerals, and polysaccharides should therefore be interpreted as active modifiers of pseudocereal protein functionality rather than as passive impurities.”
2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Amino acid values are labeled with conflicting measurement bases

    Minor

    Table 1 labels the essential amino acid row as being on a dry basis, but its footnote says the comparable values are expressed per 100 g of protein. Those are different bases for interpreting the listed values.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Das, 2024, Exploring the potential of amaranth proteins: Composition, functional characteristics, modifications, bioactive peptides and possible applications in food and packaging industries, Journal of Food Composition and Analysis, 139
  2. Katsube-Tanaka, 2022, Characterization of 2S albumin allergenic proteins for anaphylaxis in common buckwheat, Food Chemistry: Molecular Sciences, 5
  3. Wang, 2025, Effect of pH-shifting combined with heat or ultrasonication treatment on physicochemical properties of quinoa protein isolates (QPI) dispersions, International Journal of Biological Macromolecules, 310

Cited by

Still being checked.

Authors
Yan, X., & Zhu, F.
Affiliations
University of Auckland (NZ)
Corresponding author
Zhu, Fan
Venue
Food Hydrocolloids
Publisher
Elsevier BV
Published
2027-02
Volume
183
Pages
113137
ISSN
0268-005X (ISSN-L)
OpenAlex
W7168410065
Cited by
0
References
98
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
Food Hydrocolloids (publishedVersion, cc-by)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Proteins in Food Systems
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Seed and Plant Biochemistry
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Polysaccharides Composition and Applications
Keywords
amaranth protein, buckwheat protein, quinoa protein, protein aggregation, protein secondary and tertiary structure, high internal phase emulsions, Pickering emulsions, emulgel, foams, protein digestion, phenolic compounds, saponins, phytic acid, polysaccharides, ultrasound treatment, high-pressure homogenization, pH change, protein extraction, structure-function relationship

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-06.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.

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