The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Use of FT-IR Spectra and PCA to the Bulk Characterization of Cell Wall Residues of Fruits and Vegetables Along a Fraction Process
Open accessAbstract
This study focuses on the analysis of polysaccharide residues from the cell walls of fruits and vegetables: tomato, potato, pumpkin, carrot and celery root. An alcohol-insoluble residue was prepared from plant material by extraction using the hot ethyl alcohol method and then cell wall fractions soluble in trans-1,2-diaminocyclohexane-N,N,N′,N′-tetraacetate, sodium carbonate and alkaline solution were sequentially extracted. Infrared spectroscopy combined with Fourier transform (FT-IR) was used to evaluate differences among cell wall residues and among species after each step of sequential extraction of pectins and hemicelluloses. Additionally, pectic substances were identified using an Automated Wet Chemistry Analyser. Principal component analysis (PCA) was applied to FT-IR spectra in two regions: 1,800–1,200 cm −1 and 1,200–800 cm −1 in order to distinguish different components of cell wall polysaccharides. This method also allowed us the possibility of highlighting the most important wavenumbers for each type of polysaccharide: 1,740, 1,610 and 1,240 cm −1 denoting pectins or 1,370 and 1,317 cm −1 denoting hemicelluloses and cellulose, respectively.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Colorimetric Method for Determination of Sugars and Related Substances
DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A., & Smith, F. (1956) · Analytical Chemistry · doi:10.1021/ac60111a017 · Cited by 52,269
Carpita, N., & Gibeaut, D. (1993) · The Plant Journal · doi:10.1046/j.1365-313x.1993.00999.x · Cited by 3,651
Fourier Transform Infrared Spectrometry
Griffiths, P. R., & de Haseth, J. A. (2007) · doi:10.1002/047010631x · Cited by 3,052
Pectin structure and biosynthesis
MOHNEN, D. (2008) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2008.03.006 · Cited by 2,447
FT-IR study of plant cell wall model compounds: pectic polysaccharides and hemicelluloses
Kacuráková, M. (2000) · Carbohydrate Polymers · doi:10.1016/s0144-8617(00)00151-x · Cited by 1,751
The structure, function, and biosynthesis of plant cell wall pectic polysaccharides
Caffall, K. H., & Mohnen, D. (2009) · Carbohydrate Research · doi:10.1016/j.carres.2009.05.021 · Cited by 1,645
The Growing Plant Cell Wall: Chemical and Metabolic Analysis
Fry, S. C. (1988) · Medical Entomology and Zoology · Cited by 877
Gnanasambandam, R. (2000) · Food Chemistry · doi:10.1016/s0308-8146(99)00191-0 · Cited by 686
Fourier transform Raman and infrared spectroscopy of pectins
Synytsya, A. (2003) · Carbohydrate Polymers · doi:10.1016/s0144-8617(03)00158-9 · Cited by 651
Developments in mid-infrared FT-IR spectroscopy of selected carbohydrates
Kacuráková, M. (2001) · Carbohydrate Polymers · doi:10.1016/s0144-8617(00)00245-9 · Cited by 469
Cited by
Kyomugasho, C., Christiaens, S., Shpigelman, A., Van Loey, A. M., & Hendrickx, M. E. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2014.12.033 · Cited by 302
Kyomugasho, C., Willemsen, K. L. D. D., Christiaens, S., Van Loey, A. M., & Hendrickx, M. E. (2015) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2015.03.011 · Cited by 35
Fréda Zamanileha, E., Tantely Mitantsoa, J., Frienduc Vaonalamihanta, P., Rija Razafintsalama, A., Arimalala Andrianony, F., & Hervé Ravelonandro, P. (2024) · Recent Advances in Infrared Spectroscopy and Its Applications in Biotechnology · doi:10.5772/intechopen.1006723 · Cited by 9
Metadata
- Authors
- Szymanska-Chargot, M., & Zdunek, A.
- Venue
- Food Biophysics
- Published
- 2012-12-27
- Volume
- 8
- Issue
- 1
- Pages
- 29-42
- ISSN
- 1557-1858 (ISSN-L)
- 1557-1866
- OpenAlex
- W2156771563
- Cited by
- 428
- References
- 30
- FWCI
- 9.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use of FT-IR Spectra and PCA to the Bulk Characterization of Cell Wall Residues of Fruits and Vegetables Along a Fraction Process. https://app.cochat.ai/papers/10.1007/s11483-012-9279-7
- The paper
- Szymanska-Chargot, M., & Zdunek, A. (2013). Use of FT-IR Spectra and PCA to the Bulk Characterization of Cell Wall Residues of Fruits and Vegetables Along a Fraction Process. Food Biophysics. https://doi.org/10.1007/s11483-012-9279-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
