FT-IR and Raman spectroscopy data fusion with chemometrics for simultaneous determination of chemical quality indices of edible oils during thermal oxidation
文献类型： 外文期刊
作者： Liu, Huan 1 ; Chen, Yi 3 ; Shi, Ce 1 ; Yang, Xinting 1 ; Han, Donghai 2 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
3.Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China
4.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
5.Natl Engn Lab Agriprod Qual Traceabil, Beijing 100097, Peoples R China
关键词： Data fusion strategy; Feature variables extraction; SPA-PLS; Quality indices; Edible oils
期刊名称：LWT-FOOD SCIENCE AND TECHNOLOGY （ 影响因子：4.952； 五年影响因子：5.383 ）
ISSN： 0023-6438
年卷期： 2020 年 119 卷
页码：
收录情况： SCI
摘要： A rapid, non-destructive and robust method for measuring peroxide values (PVs) and acid values (AVs) of common edible oils (soybean, rapeseed, sunflower and peanut) simultaneously under various thermal oxidation was explored by FT-IR and Raman spectroscopy data fusion strategy. Uninformative variable elimination (UVE) and successive projections algorithm (SPA) methods were used for feature variables extraction, quantitative models for prediction of chemical quality indices were established using partial least squares regression (PLSR) algorithm. The bands associated with vibration of C = O and C = C stretching were highly correlated with PVs and AVs, data fusion of the two spectra showed the best modeling results when variables identified by SPA were used. For modeling of PVs, the resulting R-c(2) and R-p(2) were 0.964 and 0.939, RMSEC and RMSEP were 0.060 and 0.080. For modeling of AVs, the resulting R-c(2) and R-p(2) were 0.955 and 0.919, RMSEC and RMSEP were 0.025 and 0.027.
- 相关文献
作者其他论文 更多>>
-
Deep learning-assisted fluorescence spectroscopy for food quality and safety analysis
作者：Yuan, Yuan;Xu, Qian;Ji, Zengtao;Fan, Yanwei;Shi, Ce;Ji, Zengtao;Fan, Yanwei;Shi, Ce;Ji, Zengtao;Fan, Yanwei;Shi, Ce;Yuan, Yuan;Xu, Qian;Lyu, Jian;Ertbjerg, Per
关键词：Fluorescence spectroscopy; Limitations of machine learning; Classification and regression; Model optimization; Model performance evaluation; Application
-
2D/0D Heterojunction Fluorescent Probe with Schottky Barrier Based on Ti3C2TX MXene Loaded Graphene Quantum Dots for Detection of H2S During Food Spoilage
作者：Jia, Zhixin;Ji, Zengtao;Yang, Xinting;Shi, Ce;Jia, Zhixin;Yang, Xinting;Shi, Ce;Sun, Xia;Guo, Yemin;Jia, Zhixin;Ji, Zengtao;Yang, Xinting;Shi, Ce;Jia, Zhixin;Ji, Zengtao;Yang, Xinting;Shi, Ce;Jia, Zhixin;Ji, Zengtao;Yang, Xinting;Shi, Ce;Zhang, Jingbin;Zhang, Jingbin;Zhang, Jiaran
关键词：fluorescent probe; graphene quantum dots; H2S contamination; heterojunction; Ti3C2Tx MXene
-
DF-DETR: Dead fish-detection transformer in recirculating aquaculture system
作者：Fu, Tingting;Feng, Dejun;Li, Shantan;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Yang, Xinting;Li, Shantan;Zhou, Chao;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Yang, Xinting;Li, Shantan;Zhou, Chao;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Yang, Xinting;Li, Shantan;Zhou, Chao
关键词：DF-DETR; Dead fish detection; Feature fusion; Recirculating aquaculture system
-
Maillard reaction enhances prebiotic potential of silver carp hydrolysates: Insights from SCFA production, microbiome, and metabolomics
作者：Dou, Peipei;Zhang, Huijuan;Mubango, Elliot;Hong, Hui;Tan, Yuqing;Luo, Yongkang;Ding, Ning;Fan, Hongbing;Shi, Ce
关键词：Silver carp hydrolysates; Maillard reaction; Prebiotic; Oligosaccharides; In-vitro fermentation; Silver carp hydrolysates; Maillard reaction; Prebiotic; Oligosaccharides; In-vitro fermentation
-
DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring
作者：Chen, Xiao;Hu, Huan;Li, Tianjun;Chen, Xiao;Yang, Xinting;Hu, Huan;Li, Tianjun;Zhou, Zijie;Li, Wenyong;Chen, Xiao;Yang, Xinting;Hu, Huan;Li, Tianjun;Zhou, Zijie;Li, Wenyong;Chen, Xiao;Yang, Xinting;Hu, Huan;Li, Tianjun;Zhou, Zijie;Li, Wenyong;Zhou, Zijie
关键词：Pest detection; YOLOv8; Fusion features; Small objects; Multiple scale detection
-
Semi-supervised fish school density estimation and counting network in recirculating aquaculture systems based on adaptive density proxy
作者：Zhu, Kaijie;Yang, Xinting;Yang, Caiwei;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Zhou, Chao;Zhu, Kaijie;Yang, Xinting;Yang, Caiwei;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Zhou, Chao;Zhu, Kaijie;Yang, Xinting;Yang, Caiwei;Fu, Tingting;Ma, Pingchuan;Hu, Weichen;Zhou, Chao;Zhu, Kaijie;Ma, Pingchuan
关键词：Fish school density estimation; Aquaculture; Machine vision; Adaptive density proxy
-
Typical farming behaviors recognition in aquaculture using an improved VMamba approach
作者：Sun, Chenglin;Liu, Chenjian;Sun, Chenglin;Yang, Xinting;Liu, Chenjian;Ye, Yuming;Li, Shantan;Xu, Xudong;Zhou, Chao;Sun, Chenglin;Yang, Xinting;Liu, Chenjian;Ye, Yuming;Li, Shantan;Xu, Xudong;Zhou, Chao;Sun, Chenglin;Yang, Xinting;Liu, Chenjian;Ye, Yuming;Li, Shantan;Xu, Xudong;Zhou, Chao
关键词：VMamba; EMA; IDConv; Farming behaviors recognition; CGFormer; Aquaculture
