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  5. Recent advances in nanomaterial-based optical biosensors for food safety applications: Ochratoxin-A detection, as case study

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Article
en
2023

Recent advances in nanomaterial-based optical biosensors for food safety applications: Ochratoxin-A detection, as case study

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en
2023
Vol 64 (18)
Vol. 64
DOI: 10.1080/10408398.2023.2168248

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Rui L Reis
Rui L Reis

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Diana I. Meira
Ana I. Barbosa
Joel Borges
+3 more

Abstract

Global population growth tremendously impacts the global food industry, endangering food safety and quality. Mycotoxins, particularly Ochratoxin-A (OTA), emerge as a food chain production threat, since it is produced by fungus that contaminates different food species and products. Beyond this, OTA exhibits a possible human toxicological risk that can lead to carcinogenic and neurological diseases. A selective, sensitive, and reliable OTA biodetection approach is essential to ensure food safety. Current detection approaches rely on accurate and time-consuming laboratory techniques performed at the end of the food production process, or lateral-flow technologies that are rapid and on-site, but do not provide quantitative and precise OTA concentration measurements. Nanoengineered optical biosensors arise as an avant-garde solution, providing high sensing performance, and a fast and accurate OTA biodetection screening, which is attractive for the industrial market. This review core presents and discusses the recent advancements in optical OTA biosensing, considering engineered nanomaterials, optical transduction principle and biorecognition methodologies. Finally, the major challenges and future trends are discussed, and current patented OTA optical biosensors are emphasized for a particular promising detection method.

How to cite this publication

Diana I. Meira, Ana I. Barbosa, Joel Borges, Rui L Reis, Vítor M. Correlo, F. Vaz (2023). Recent advances in nanomaterial-based optical biosensors for food safety applications: Ochratoxin-A detection, as case study. , 64(18), DOI: https://doi.org/10.1080/10408398.2023.2168248.

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Publication Details

Type

Article

Year

2023

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1080/10408398.2023.2168248

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