Gel strength prediction in ultrasonicated chicken mince: Fusing near-infrared and Raman spectroscopy coupled with deep learning LSTM algorithm
#1PRI RANKED
Most Cited Paper
in Meat and Animal Product Quality
18 Months Post-Publication
Class of 2026
“Gel strength prediction in ultrasonicated chicken mince: Fusing near-infrared and Raman spectroscopy coupled with deep learning LSTM algorithm”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/meat-and-animal-product-quality/2026/
Topics
ultrasonication · minced chicken · Gelation · near-infrared spectroscopy · Raman spectroscopy · Spectral data integration · long short-term memory · long short-term memory · Convolutional Neural Network · Convolutional Neural Network · texture profile analysis · centrifugal loss rate · Non-destructive testing · deep learning prediction models · NIR-Raman fusion · Gelation · meat gel quality
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Meat and Animal Product Quality Papers, Class of 2026. https://pri.pepkio.com/top-papers/meat-and-animal-product-quality/2026. Accessed 2026-07-21. 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