دورية أكاديمية

Local anomaly detection and quantitative analysis of contaminants in soybean meal using near infrared imaging: The example of non-protein nitrogen.

التفاصيل البيبلوغرافية
العنوان: Local anomaly detection and quantitative analysis of contaminants in soybean meal using near infrared imaging: The example of non-protein nitrogen.
المؤلفون: Shen G; College of Engineering, China Agricultural University, Beijing 100083, PR China; Walloon Agricultural Research Centre (CRA-W), Valorisation of Agricultural Products Department, Chaussée de Namur 24, 5030 Gembloux, Belgium. Electronic address: shenguanghui@cau.edu.cn., Fernández Pierna JA; Walloon Agricultural Research Centre (CRA-W), Valorisation of Agricultural Products Department, Chaussée de Namur 24, 5030 Gembloux, Belgium. Electronic address: j.fernandez@cra.wallonie.be., Baeten V; Walloon Agricultural Research Centre (CRA-W), Valorisation of Agricultural Products Department, Chaussée de Namur 24, 5030 Gembloux, Belgium. Electronic address: v.baeten@cra.wallonie.be., Cao Y; College of Engineering, China Agricultural University, Beijing 100083, PR China. Electronic address: caoyaoyao@cau.edu.cn., Han L; College of Engineering, China Agricultural University, Beijing 100083, PR China. Electronic address: hanlj@cau.edu.cn., Yang Z; College of Engineering, China Agricultural University, Beijing 100083, PR China. Electronic address: yangzengling@cau.edu.cn.
المصدر: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2020 Jan 15; Vol. 225, pp. 117494. Date of Electronic Publication: 2019 Aug 29.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE
أسماء مطبوعة: Publication: : Amsterdam : Elsevier
Original Publication: [Kidlington, Oxford, U.K. ; Tarrytown, NY] : Pergamon, c1994-
مواضيع طبية MeSH: Food Contamination/*analysis , Nitrogen/*analysis , Glycine max/*chemistry , Spectroscopy, Near-Infrared/*methods, Animal Feed/analysis ; Animal Feed/toxicity ; Animals ; Humans ; Limit of Detection ; Glycine max/toxicity ; Triazines/analysis ; Triazines/toxicity
مستخلص: The melamine scandal indicates that traditional targeted detection methods only detect the specifically listed forms of contamination, which leads to the failure to identify new adulterants in time. In order to deal with continually changing forms of adulterations in food and feed and make up for the inadequacy of targeted detection methods, an untargeted detection method based on local anomaly detection (LAD) using near infrared (NIR) imaging was examined in this study. In the LAD method, with a particular size of window filter and at a 99% level of confidence, a specific value of Global H (GH, modified Mahalanobis distance) can be used as a threshold for anomalous spectra detection and quantitative analysis. The results showed an acceptable performance for the detection of contaminations with the advantage of no need of building a 'clean' library. And, a high coefficient of determination (R 2 LAD  = 0.9984 and R 2 PLS-DA  = 0.9978) for the quantitative analysis of melamine with a limit of detection lower than 0.01% was obtained. This indicates that the new strategy of untargeted detection has the potential to move from passive to active for food and feed safety control.
(Copyright © 2019 Elsevier B.V. All rights reserved.)
فهرسة مساهمة: Keywords: Local anomaly detection; Near-infrared hyperspectral/microscopic imaging; Near-infrared spectroscopy; Soybean meal; Untargeted detection
المشرفين على المادة: 0 (Triazines)
N3GP2YSD88 (melamine)
N762921K75 (Nitrogen)
تواريخ الأحداث: Date Created: 20190911 Date Completed: 20200616 Latest Revision: 20231213
رمز التحديث: 20240628
DOI: 10.1016/j.saa.2019.117494
PMID: 31505387
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-3557
DOI:10.1016/j.saa.2019.117494