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Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria
Joint Authors
Yang, Zengling
Han, Lujia
Wang, Chengte
Li, Jing
Fernández Pierna, Juan A.
Dardenne, Pierre
Baeten, Vincent
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Soybean meal was adulterated with melamine with the purpose of boosting the protein content for unlawful interests.
In recent years, the near-infrared (NIR) spectroscopy technique has been widely used for guaranteeing food and feed security for its fast, nondestructive, and pollution-free characteristics.
However, there are problems with using near-infrared (NIR) spectroscopy for detecting samples with low contaminant concentration because of instrument noise and sampling issues.
In addition, methods based on NIR are indirect and depend on calibration models.
NIR microscopy imaging offers the opportunity to investigate the chemical species present in food and feed at the microscale level (the minimum spot size is a few micrometers), thus avoiding the problem of the spectral features of contaminants being diluted by scanning.
The aim of this work was to investigate the feasibility of using NIR microscopy imaging to identify melamine particles in soybean meal using only the pure component spectrum.
The results presented indicate that using the classical least squares (CLS) algorithm with the nonnegative least squares (NNLS) algorithm, without needing first to develop a calibration model, could identify soybean meal that is both uncontaminated and contaminated with melamine particles at as low a level as 50 mg kg−1.
American Psychological Association (APA)
Yang, Zengling& Han, Lujia& Wang, Chengte& Li, Jing& Fernández Pierna, Juan A.& Dardenne, Pierre…[et al.]. 2016. Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria. Journal of Spectroscopy،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1110790
Modern Language Association (MLA)
Yang, Zengling…[et al.]. Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria. Journal of Spectroscopy No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1110790
American Medical Association (AMA)
Yang, Zengling& Han, Lujia& Wang, Chengte& Li, Jing& Fernández Pierna, Juan A.& Dardenne, Pierre…[et al.]. Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria. Journal of Spectroscopy. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1110790
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110790