A Review of Recent Advances for the Detection of Biological, Chemical, and Physical Hazards in Foodstuffs Using Spectral Imaging Techniques

被引:8
作者
Xie, Chuanqi [1 ]
Zhou, Weidong [1 ,2 ]
机构
[1] Zhejiang Acad Agr Sci, Inst Anim Husb & Vet Sci, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China
[2] Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Peoples R China
关键词
spectral imaging; foodstuff hazards; contamination; detection; models; ELECTRONIC NOSE; QUALITY; CLASSIFICATION; KERNELS; SAFETY; WHEAT;
D O I
10.3390/foods12112266
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Traditional methods for detecting foodstuff hazards are time-consuming, inefficient, and destructive. Spectral imaging techniques have been proven to overcome these disadvantages in detecting foodstuff hazards. Compared with traditional methods, spectral imaging could also increase the throughput and frequency of detection. This study reviewed the techniques used to detect biological, chemical, and physical hazards in foodstuffs including ultraviolet, visible and near-infrared (UV-Vis-NIR) spectroscopy, terahertz (THz) spectroscopy, hyperspectral imaging, and Raman spectroscopy. The advantages and disadvantages of these techniques were discussed and compared. The latest studies regarding machine learning algorithms for detecting foodstuff hazards were also summarized. It can be found that spectral imaging techniques are useful in the detection of foodstuff hazards. Thus, this review provides updated information regarding the spectral imaging techniques that can be used by food industries and as a foundation for further studies.
引用
收藏
页数:19
相关论文
共 63 条
  • [1] A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging
    Afsah-Hejri, Leili
    Hajeb, Parvaneh
    Ara, Parsa
    Ehsani, Reza J.
    [J]. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2019, 18 (05) : 1563 - 1621
  • [2] Principles and recent advances in electronic nose for quality inspection of agricultural and food products
    Ali, Maimunah Mohd
    Hashim, Norhashila
    Abd Aziz, Samsuzana
    Lasekan, Ola
    [J]. TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2020, 99 (99) : 1 - 10
  • [3] 5-Hydroxymethyl furfural determination in Italian honeys by a fast near infrared spectroscopy
    Apriceno, Azzurra
    Bucci, Remo
    Girelli, Anna Maria
    Marini, Federico
    Quattrocchi, Ludovica
    [J]. MICROCHEMICAL JOURNAL, 2018, 143 : 140 - 144
  • [4] Asefpour Vakilian K., 2021, P 2021 7 INT C SIGNA, P1, DOI 10.1109/ICSPIS54653.2021.9729384
  • [5] Detection of Sulfite Dioxide Residue on the Surface of Fresh-Cut Potato Slices Using Near-Infrared Hyperspectral Imaging System and Portable Near-Infrared Spectrometer
    Bai, Xiulin
    Xiao, Qinlin
    Zhou, Lei
    Tang, Yu
    He, Yong
    [J]. MOLECULES, 2020, 25 (07):
  • [6] Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review
    Bonah, Ernest
    Huang, Xingyi
    Aheto, Joshua Harrington
    Osae, Richard
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2020, 57 (06): : 1977 - 1990
  • [7] Optical nano-agents in the second near-infrared window for biomedical applications
    Cai, Yu
    Wei, Zheng
    Song, Chuanhui
    Tang, Chuanchao
    Han, Wei
    Dong, Xiaochen
    [J]. CHEMICAL SOCIETY REVIEWS, 2019, 48 (01) : 22 - 37
  • [8] Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis-NIR (400-1000 nm) hyperspectral imaging
    Chakraborty, Subir Kumar
    Mahanti, Naveen Kumar
    Mansuri, Shekh Mukhtar
    Tripathi, Manoj Kumar
    Kotwaliwale, Nachiket
    Jayas, Digvir Singh
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2021, 58 (02): : 437 - 450
  • [9] Classification of aflatoxin contaminated single corn kernels by ultraviolet to near infrared spectroscopy
    Cheng, Xianbin
    Vella, Andrea
    Stasiewicz, Matthew J.
    [J]. FOOD CONTROL, 2019, 98 : 253 - 261
  • [10] Detection of Foreign Materials on Broiler Breast Meat Using a Fusion of Visible Near-Infrared and Short-Wave Infrared Hyperspectral Imaging
    Chung, Soo
    Yoon, Seung-Chul
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (24):