Machine Learning-Mediated Ultrasensitive Detection of Citrinin and Associated Mycotoxins in Real Food Samples Discerned from a Photoluminescent Carbon Dot …

M Aggarwal, P Sahoo, S Saha… - Journal of Agricultural and …, 2023 - ACS Publications
Economically viable remote sensing of foodborne contaminants using minimalistic chemical
reagents and simultaneous automation calls for a concrete integration of a chemical …

Ultrasensitive visual detection of mycotoxin citrinin with yellow-light emitting carbon dot and Congo red

S Mandal, P Das - Food chemistry, 2020 - Elsevier
Ultrasensitive visual detection of mycotoxin citrinin is reported here using a novel yellow-
light emitting Carbon dot (CD) and Congo red dye. Detection strategy is based on higher …

Machine-learning-driven optical immunosensor based on microspheres-encoded signal transduction for the rapid and multiplexed detection of antibiotics in milk

C Zhou, C Huang, H Zhang, W Yang, F Jiang, G Chen… - Food Chemistry, 2024 - Elsevier
Antibiotic residues are the most common contaminants in milk and other related dairy
products. Simultaneous, convenient, and stable detection of antibiotic residues in foods is …

Double isothermal amplification and CRISPR-Cas12a for sensitive detection of citrinin

M Zhang, X Xue, H Gong, B Liu… - ACS Food Science & …, 2021 - ACS Publications
An analytical method is developed for ultrasensitive detection of citrinin using double
isothermal amplification and CRISPR-Cas12a. Gold nanoparticles (AuNPs) modified with …

Surveillance of pathogenic bacteria on a food matrix using machine-learning-enabled paper chromogenic arrays

Z Jia, Y Luo, D Wang, E Holliday, A Sharma… - Biosensors and …, 2024 - Elsevier
Global food systems can benefit significantly from continuous monitoring of microbial food
safety, a task for which tedious operations, destructive sampling, and the inability to monitor …

On-site colorimetric food spoilage monitoring with smartphone embedded machine learning

V Doğan, M Evliya, LN Kahyaoglu, V Kılıç - Talanta, 2024 - Elsevier
Real-time and on-site food spoilage monitoring is still a challenging issue to prevent food
poisoning. At the onset of food spoilage, microbial and enzymatic activities lead to the …

Imaging sensor array coupled with dual-signal amplification strategy for ultrasensitive chemiluminescence immunoassay of multiple mycotoxins

C Zong, F Jiang, X Wang, P Li, L Xu, H Yang - Biosensors and …, 2021 - Elsevier
A novel chemiluminescence (CL) immunosensor array in combination with a dual-signal
amplification strategy was developed for rapid and ultrasensitive detection of multiple …

Latest strategies for rapid and point of care detection of mycotoxins in food: A review

Z Suo, X Niu, M Wei, H Jin, B He - Analytica Chimica Acta, 2023 - Elsevier
Mycotoxins contaminated in agricultural products are often highly carcinogenic and
genotoxic to humans. With the streamlining of the food industry chain and the improvement …

Intelligent point-of-care test via smartphone-enabled microarray for multiple targets: Mycotoxins in food

W Wu, D Zhou, X Chen, X Tang, J Jiang, L Yu… - Sensors and Actuators B …, 2022 - Elsevier
The growing co-occurrence of multiple hazardous contaminations causes a notably
increased risk to humans due to their synergistic and additive toxicological effects. Current …

Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food

M Yang, X Liu, Y Luo, AJ Pearlstein, S Wang, H Dillow… - Nature Food, 2021 - nature.com
Fast and simultaneous identification of multiple viable pathogens on food is critical to public
health. Here we report a pathogen identification system using a paper chromogenic array …