Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing

M Mousavizadegan, A Firoozbakhtian… - TrAC Trends in …, 2023 - Elsevier
Over the past decade, the wide-scale adoption of artificial intelligence (AI) and machine
learning (ML) has transformed the landscape of scientific research and development, which …

Toxicity prediction based on artificial intelligence: A multidisciplinary overview

E Pérez Santín, R Rodríguez Solana… - Wiley …, 2021 - Wiley Online Library
The use and production of chemical compounds are subjected to strong legislative pressure.
Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory …

[HTML][HTML] Smartphone-based optical assays in the food safety field

JLD Nelis, AS Tsagkaris, MJ Dillon, J Hajslova… - TrAC Trends in …, 2020 - Elsevier
Smartphone based devices (SBDs) have the potential to revolutionize food safety control by
empowering citizens to perform screening tests. To achieve this, it is of paramount …

An overview of nanomaterial based biosensors for detection of Aflatoxin B1 toxicity in foods

N Yadav, SS Yadav, AK Chhillar, JS Rana - Food and chemical toxicology, 2021 - Elsevier
Abstract Aflatoxin B1 (AFB1) is one of the most potent mycotoxin contaminating several
foods and feeds. It suppresses immunity and consequently increases mutagenicity …

SERS and MRS signals engineered dual-mode aptasensor for simultaneous distinguishment of aflatoxin subtypes

H Cao, D Liang, K Tang, Y Sun, Y Xu, M Miao… - Journal of Hazardous …, 2024 - Elsevier
The accurate monitoring of aflatoxin subtypes is vitally important for food safety. Herein, a
dual-mode aptasensor with surface-enhanced Raman scattering (SERS) and magnetic …

Development of a colorimetric aptasensor for aflatoxin B1 detection based on silver nanoparticle aggregation induced by positively charged perylene diimide

J Lerdsri, C Thunkhamrak, J Jakmunee - Food Control, 2021 - Elsevier
A sensitive colorimetric aptasensor for rapid quantification of aflatoxin B1 (AfB1) has been
successfully developed. The sensing strategy is based on the aggregation and localized …

Aflatoxin detection technologies: recent advances and future prospects

S Liu, S Jiang, Z Yao, M Liu - Environmental Science and Pollution …, 2023 - Springer
Aflatoxins have posed serious threat to food safety and human health. Therefore, it is
important to detect aflatoxins in samples rapidly and accurately. In this review, various …

Research advancements in optical imaging and spectroscopic techniques for nondestructive detection of mold infection and mycotoxins in cereal grains and nuts

G Mishra, BK Panda, WA Ramirez… - … Reviews in Food …, 2021 - Wiley Online Library
Cereal grains and nuts are represented as the economic backbone of many developed and
developing countries. Kernels of cereal grains and nuts are prone to mold infection under …

Combining AI tools with non-destructive technologies for crop-based food safety: A comprehensive review

H Raki, Y Aalaila, A Taktour, DH Peluffo-Ordóñez - Foods, 2023 - mdpi.com
On a global scale, food safety and security aspects entail consideration throughout the farm-
to-fork continuum, considering food's supply chain. Generally, the agrifood system is a …

[HTML][HTML] Detection of mycotoxin contamination in foods using artificial intelligence: A review

A Aggarwal, A Mishra, N Tabassum, YM Kim, F Khan - Foods, 2024 - mdpi.com
Mycotoxin contamination of foods is a major concern for food safety and public health
worldwide. The contamination of agricultural commodities employed by humankind with …