Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures
文献类型： 外文期刊
作者： Liu, Huan 1 ; Zhu, Lei 1 ; Ji, Zengtao 1 ; Zhang, Min 1 ; Yang, Xinting 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Res Ctr Informat Technol, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Minist Agr & Rural Affairs, Acad Agr Planning & Engn, Beijing 100125, Peoples R China
4.Natl Engn Lab Agriprod Qual Traceabil, Beijing 100097, Peoples R China
5.Minist Agr & Rural Affairs, Key Lab Cold Chain Logist Technol Agroprod, Beijing 100097, Peoples R China
关键词： Porphyrin; Fluorescence imaging; Beef; Freshness; Visualization
期刊名称：FOOD CHEMISTRY （ 影响因子：8.8； 五年影响因子：8.6 ）
ISSN： 0308-8146
年卷期： 2024 年 442 卷
页码：
收录情况： SCI
摘要： This study presents a novel fluorescence imaging method for the real-time monitoring of beef quality deterioration and freshness. The fluorescence property of porphyrin in the form of heme can be used to characterize quality changes in beef during storage. Therefore, a fluorescence imaging system with an excitation light source of 440 nm and a CCD camera with a specific wavelength filter of 595 nm was constructed, and the porphyrin fluorescence images of beef samples stored at different temperatures were then collected. The quantitative model for predicting the microbial freshness indicator (TVC) of beef was built with the support vector machine regression (SVR) algorithm and produced satisfactory results with Rc2 and Rp2 of 0.858 and 0.812, respectively. The classification model based on the support vector machine (SVM) algorithm classified beef freshness into "fresh" and "spoiled", with calibration and prediction accuracy of 100 % and 90.9 %, respectively.
- 相关文献
作者其他论文 更多>>
-
Principles and applications of convolutional neural network for spectral analysis in food quality evaluation: A review
作者：Luo, Na;Xu, Daming;Xing, Bin;Yang, Xinting;Sun, Chuanheng;Luo, Na;Xu, Daming;Xing, Bin;Yang, Xinting;Sun, Chuanheng;Luo, Na;Xu, Daming;Xing, Bin;Yang, Xinting;Sun, Chuanheng;Sun, Chuanheng
关键词：Convolutional neural network; Spectroscopic technologies; Evaluation; Food quality
-
Early diagnosis of greenhouse cucumber downy mildew in seedling stage using chlorophyll fluorescence imaging technology
作者：Chen, Xiaohui;Shi, Dongyuan;Yang, Xinting;Li, Ming;Chen, Xiaohui;Li, Ming;Shi, Dongyuan;Li, Ming;Zhang, Hengwei;Sanchezerez, Jose Antonio
关键词：Pseudoperonospora cubensis; Chlorophyll fluorescence imaging; Bayesian estimation; Feature selection; CNN; Early detection
-
CFFI-Vit: Enhanced Vision Transformer for the Accurate Classification of Fish Feeding Intensity in Aquaculture
作者：Liu, Jintao;Becerra, Alfredo Tolon;Bienvenido-Barcena, Jose Fernando;Liu, Jintao;Yang, Xinting;Zhao, Zhenxi;Zhou, Chao;Liu, Jintao;Yang, Xinting;Zhao, Zhenxi;Zhou, Chao;Liu, Jintao;Yang, Xinting;Zhao, Zhenxi;Zhou, Chao
关键词：aquaculture; fish feeding intensity classification; vision transformer; residual network
-
Preparation of waterborne anti-counterfeiting ink based on dual luminescent nanohybrids of bacterial cellulose nanocrystals and lanthanide-nitrogen co-modified GQDs
作者：Jia, Zhixin;Yang, Xinting;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
关键词：Bacterial cellulose nanocrystal; Graphene quantum dots; Nanohybrids; Dual anti-counterfeiting; Waterborne fluorescent ink
-
Functional Characterization of CsSWEET5a, a Cucumber Hexose Transporter That Mediates the Hexose Supply for Pollen Development and Rescues Male Fertility in Arabidopsis
作者：Hu, Liping;Song, Shuhui;Cheng, Bing;Liu, Guangmin;Liu, Huan;Zhao, Xuezhi;Wang, Yaqin;He, Hongju;Tian, Jiaxing;Zhang, Feng
关键词：cucumber; hexose transporter; plasma membrane; pollen development; SWEET
-
GCVC: Graph Convolution Vector Distribution Calibration for Fish Group Activity Recognition
作者：Zhao, Zhenxi;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Liu, Jintao
关键词：Fish; Feature extraction; Activity recognition; Calibration; Adhesives; Training; Convolution; Graph convolution vector calibration; fish group activity; activity feature vector calibration; fish activity dataset
-
Deep learning models with optimized fluorescence spectroscopy to advance freshness of rainbow trout predicting under nonisothermal storage conditions
作者：Fan, Yanwei;Dong, Ruize;Ji, Zengtao;Shi, Ce;Dong, Ruize;Luo, Yongkang;Tan, Yuqing;Hong, Hui;Fan, Yanwei;Fan, Yanwei;Dong, Ruize;Ji, Zengtao;Shi, Ce;Fan, Yanwei;Dong, Ruize;Ji, Zengtao;Shi, Ce;Ji, Zengtao;Shi, Ce
关键词：Excitation -emission matrices; Parallel factor analysis; Freshness prediction; Radial basis function neural network; Long short-term memory; CNN_LSTM neural network
