چکیده مقاله
Mycotoxin cross contamination in grains, involving aflatoxins AFS , zearalenone ZEN , and fumonisins FUMs , threatens global food security, particularly in imported and domestic supplies This study develops hybrid optoacoustic nanosensors integrating gold nanorods AuNRs with aptamer functionalized quantum dots QDs for multiplexed, real time detection The sensors achieve limits of detection LOD of 0 05 μg/kg for AFs, 0 1 µg/kg for ZEN, and 0 2 μg/kg for FUMS, with photoacoustic signals amplified 50 fold Integrated AI algorithms, including convolutional neural networks CNNs and support vector machines SVMs , trace contamination sources e g , storage vs field with 94% accuracy based on spectral fingerprints and geospatial data Tested on 200 grain samples, the system enables rapid on site screening, reducing economic losses from recalls
کلیدواژهها
نویسندگان
Iraj Karimi Sanil
Technical and Engineering Research Department, West Azerbaijan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Urmia, Iran
Azar Sepahi
PhD in Food Technology, Islamic Azad University, Quchan Branch, Khorasan Razavi, Iran
Morteza Jamshid Eini
PhD in Food Technology, Islamic Azad University, North Tehran Branch, Tehran, Iran
Behzad Beizaei
PhD student in Food Technology, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, Iran
شیوه ارجاع
Karimi Sanil, Iraj and Sepahi, Azar and Jamshid Eini, Morteza and Beizaei, Behzad,1404,Development of Hybrid Optoacoustic Nanosensors for Simultaneous Detection and Quantification of Cross-Contaminant Mycotoxins (Aflatoxin, Zearalenone, and Fumonisin) in Imported and Domestic Grains and Determining the Source of Contamination Using Artificial Intelligence Algorithms,The first national conference environment, smart agriculture, food security,Varamin
ارائهشده در
مجموعه مقالات اولین همایش ملی محیط زیست، کشاورزی هوشمند، امنیت غذایی28 آبان 1404 · ورامین