Near-infrared spectroscopy based on colorimetric sensor array coupled with convolutional neural network detecting zearalenone in wheat
Most Cited Paper
in Mycotoxins in Agriculture and Food
18 Months Post-Publication
Class of 2026
“Near-infrared spectroscopy based on colorimetric sensor array coupled with convolutional neural network detecting zearalenone in wheat”
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Topics
zearalenone · Wheat · Mycotoxin detection · colorimetric sensor array · porphyrin-based materials · near-infrared spectroscopy · convolutional neural network · Non-destructive detection · olfactory signatures · partial least squares regression · support vector machine regression · spectral feature extraction · quantitative analysis model · grain safety evaluation · spectral data analysis
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Mycotoxins in Agriculture and Food Papers, Class of 2026. https://pri.pepkio.com/top-papers/mycotoxins-in-agriculture-and-food/2026. Accessed 2026-07-31. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459