Non-destructive and in-situ detection of shrimp freshness using mid-infrared fiber-optic evanescent wave spectroscopy
文献类型： 外文期刊
作者： Zhou, Yunhai 1 ; Jiao, Leizi 1 ; Wu, Jianwei 3 ; Zhang, Yunhe 1 ; Zhu, Qingzhen 2 ; Dong, Daming 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
2.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词： Fiber-optic evanescent wave spectroscopy; Shrimp; Freshness; Non-destructive; In -situ
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： 2023 年 422 卷
页码：
收录情况： SCI
摘要： There is strong interest in non-destructive and rapid determination of food freshness in food research. In this study, mid-infrared (MIR) fiber-optic evanescent wave (FOEW) spectroscopy was applied to monitor shrimp freshness through the evaluation of protein, chitin, and calcite contents in conjunction with a Partial Least Squares Discriminant Analysis (PLS-DA) model. Shrimp shells were wiped with a micro fiber-optic probe to obtain a FOEW spectrum which quickly and nondestructively allowed evaluation of the shrimp freshness. Peaks for proteins, chitin, and calcite, which are closely related to shrimp freshness, were detected and quantified. Compared with the standard indicator for evaluating shrimp freshness (total volatile basic nitrogen), the PLS-DA model gave recognition rates for shrimp freshness using calibration and validation sets of the FOEW data of 87.27%, 90.28%, respectively. Our results show that FOEW spectroscopy is a feasible method for non-destructive and in-site detection of shrimp freshness.
- 相关文献
作者其他论文 更多>>
-
A hyperspectral band selection method based on sparse band attention network for maize seed variety identification
作者：Zhang, Liu;Wei, Yaoguang;Liu, Jincun;An, Dong;Zhang, Liu;Wei, Yaoguang;Liu, Jincun;An, Dong;Zhang, Liu;Wei, Yaoguang;Liu, Jincun;An, Dong;Zhang, Liu;Wei, Yaoguang;Liu, Jincun;An, Dong;Wu, Jianwei;Wu, Jianwei
关键词：Hyperspectral imaging; Band selection; Attention mechanism; Deep learning; Seed variety identification
-
Maize seed variety identification using hyperspectral imaging and self-supervised learning: A two-stage training approach without spectral preprocessing
作者：Zhang, Liu;Zhang, Shubin;Liu, Jincun;Wei, Yaoguang;An, Dong;Zhang, Liu;Zhang, Shubin;Liu, Jincun;Wei, Yaoguang;An, Dong;Zhang, Liu;Zhang, Shubin;Liu, Jincun;Wei, Yaoguang;An, Dong;Zhang, Liu;Zhang, Shubin;Liu, Jincun;Wei, Yaoguang;An, Dong;Wu, Jianwei;Wu, Jianwei
关键词：Seed classification; Hyperspectral imaging; Self-supervised learning; Deep learning; Spectral analysis
-
Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application
作者：Mao, DianHui;Sun, Hao;Li, XueBo;Yu, XuDong;Mao, DianHui;Zhang, QingChuan;Wu, JianWei
关键词：PicoDet-S; Lightweight; Edge devices; Quantization; Android
-
Development of an evapotranspiration estimation method for lettuce via mobile phones using machine vision: Proof of concept
作者：Zhangzhong, Lili;Gao, Hairong;Zheng, Wengang;Li, Jingjing;Wang, Dequn;Zhangzhong, Lili;Gao, Hairong;Zheng, Wengang;Li, Jingjing;Wang, Dequn;Wu, Jianwei
关键词：Image processing; Machine learning; Crop coefficient; Crop evapotranspiration
-
Detection of heavy metal ions using laser-induced breakdown spectroscopy combined with filter paper modified with PtAg bimetallic nanoparticles
作者：Ma, Shixiang;Cao, Fengjing;Wen, Xuelin;Xu, Fanghao;Tian, Hongwu;Dong, Daming;Fu, Xinglan
关键词：Heavy metals; Laser -induced breakdown spectroscopy; LIBS; Bimetallic nanoparticles; Sensitive detection
-
Determination of phosphorus in water using iron hydroxide assisted laser-induced breakdown spectroscopy
作者：Shao, Yang;Chen, Senliu;Zhou, Jianjun;Ma, Shixiang;Zhao, Xiande;Tian, Hongwu;Dong, Daming;Ma, Shixiang;Zhao, Xiande;Tian, Hongwu;Dong, Daming
关键词：
-
CO and CH4 atmospheric trends from dense multi-point forest fires around the city of Chongqing using spaceborne spectrometer data
作者：Wang, Yihao;Zhang, Yunhe;Zhao, Chunjiang;Dong, Daming;Dong, Daming;Wang, Kun
关键词：High temporal resolution; Remote; Sentinel-5p TROPOMI; Aqua AIRS; CO; CH4
