Application of Non-destructive Techniques in the Detection of Fungal Infection and Mycotoxins: A Review

被引：0
|
作者：
Wu L. [1 ]
Zhai W. [1 ]
Wei D. [1 ]
Fu H. [1 ]
Wang M. [1 ]
机构：
[1] Beijing Research Center for Agricultural Standards and Testing, Risk Assessment Laboratory for Agro-products (Beijing), Ministry of Agriculture and Rural Affairs, Beijing
来源：
Shipin Kexue/Food Science | 2020年 / 41卷 / 21期
关键词：
Electronic nose; Fungi; Imaging; Mycotoxin; Non-destructive techniques; Spectroscopy;
D O I：
10.7506/spkx1002-6630-20191023-240
中图分类号：
学科分类号：
摘要：
Fungal infection and mycotoxin contamination in agricultural products can affect human health and consumption safety. Early detection of fungal and mycotoxin contamination is an essential control measure for extending storage period and ensuring food safety. Conventional methods for the identification of fungal infection and mycotoxin detection are time-consuming, expensive, difficult to automate or unable to meet the requirements for on-site rapid detection. In recent years, increasing attention has been paid to the development of simple, rapid and non-destructive techniques for fungal identification and mycotoxin detection in agricultural products. This paper reviews the application of imaging, spectroscopy and electronic nose in the identification of mycotoxin-producing fungi and mycotoxin detection. Moreover, challenges and future trends of these techniques are also presented. © 2020, China Food Publishing Company. All right reserved.
引用
收藏
页码：248 / 258
页数：10
相关论文
共 86 条
  • [1] SHEN F, ZHAO T X, JIANG X S, Et al., On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy, LWT-Food Science and Technology, 109, pp. 216-224, (2019)
  • [2] PEREIRA V L, FERNANDES J O, CUNHA S C., Mycotoxins in cereals and related foodstuffs: a review on occurrence and recent methods of analysis, Trends in Food Science & Technology, 36, 2, pp. 96-136, (2014)
  • [3] MCMULLIN D, MIZAIKOFF B, KRSKA R., Advancements in IR spectroscopic approaches for the determination of fungal derived contaminations in food crops, Analytical and Bioanalytical Chemistry, 407, 3, pp. 653-660, (2015)
  • [4] 1
  • [5] SANGUINETTI M, POSTERARO B., Identification of molds by matrix-assisted laser desorption ionization-time of flight mass spectrometry, Journal of Clinical Microbiology, 55, 2, pp. 369-379, (2017)
  • [6] BUENO D, ISTAMBOULIE G, MUNOZ R, Et al., Determination of mycotoxins in food: a review of bioanalytical to analytical methods, Applied Spectroscopy Reviews, 50, 9, pp. 728-774, (2015)
  • [7] LIM J, KIM G, MO C, Et al., Application of near infrared reflectance spectroscopy for rapid and non-destructive discrimination of hulled barley, naked barley, and wheat contaminated with Fusarium, Sensors(Basel), 18, 1, (2018)
  • [8] PEIRIS K H S, PUMPHREY M O, DONG Y, Et al., Nearinfrared spectroscopic method for identification of Fusarium Head Blight damage and prediction of deoxynivalenol in single wheat kernels, Cereal Chemistry, 87, 6, pp. 511-517, (2010)
  • [9] FALADE T D O, SULTANBAWA Y, FLETCHER M, Et al., Near infrared spectrometry for rapid non-invasive modelling of Aspergillus-contaminated maturing kernels of maize (Zea mays L.)[J], Agriculture, 7, 9, (2017)
  • [10] STASIEWICZ M J, FALADE T D O, MUTUMA M, Et al., Multispectral kernel sorting to reduce aflatoxins and fumonisins in Kenyan maize, Food Control, 78, pp. 203-214, (2017)
123456789