Nanomaterial-based electrochemical biosensors for food safety and quality assessment
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Electrochemical biosensors have proved to be one of the most attractive analytical devices for rapid screening of contaminants in food from algae.
“Up to now, electrochemical biosensors have proved to be one of the most attractive analytical devices for the rapid screening of contaminants in food from algae [132].”
From Current Status and Future Trends in Removal, Control, and Mitigation of Algae Food Safety Risks for Human Consumption (2022) · cites this paper as [132]
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Flagged first, then by citations
Cited by
Sorted by citations
Wu, G., Zhuang, D., Chew, K. W., Ling, T. C., Khoo, K. S., Van Quyen, D., Feng, S., & Show, P. L. (2022) · Molecules · doi:10.3390/molecules27196633 · Cited by 51 · see citing works
- Authors
- Dridi, F., Marrakchi, M., Gargouri, M., Saulnier, J., Jaffrezic-Renault, N., & Lagarde, F.
- Affiliations
- University of Carthage (TN)
- Lyon 1 Université (FR)
- Venue
- Nanobiosensors
- Publisher
- Elsevier
- Published
- 2017
- Pages
- 167-204
- OpenAlex
- W2584087971
- Cited by
- 40
- References
- 143
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 4 · 2020: 8 · 2019: 4 · 2018: 3 · 2017: 1
- FWCI
- 16.32
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Chemistry › Electrochemistry › Electrochemical Analysis and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- electrochemical biosensor, nanomaterials, food safety, food quality assessment, foodborne pathogens, food toxins, veterinary drug residues, pesticide residues, gold nanoparticles, magnetic nanoparticles, carbon nanotubes, graphene, electron transfer, multi-analyte detection
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.
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