Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Yang, Zengling; Wang, Chengte; Han, Lujia; Li, Jing; Liu, Xian

doi:10.1142/s1793545813500727

Cited by 7 publications

(5 citation statements)

References 20 publications

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“…This difference was more pronounced in second derivative spectra (see the insets in Figure and panels a–c of Supplemental Figure 1 of the Supporting Information). The 1468 nm band was previously attributed to second overtones of NH 2 antisymmetric stretching in melamine and was observed in other studies using dry-blended melamine. ,,, The same wet-blending phenomenon was observed in spectra acquired at 4 cm –1 resolution in lab N3.…”

Section: Results and Discussionsupporting

confidence: 88%

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Effects of the Adulteration Technique on the Near-Infrared Detection of Melamine in Milk Powder

Scholl

Bergana

Yakes

et al. 2017

J. Agric. Food Chem.

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The United States Pharmacopeial Convention has led an international collaborative project to develop a toolbox of screening methods and reference standards for the detection of milk powder adulteration. During the development of adulterated milk powder reference standards, blending methods used to combine melamine and milk had unanticipated strong effects on the near-infrared (NIR) spectrum of melamine. The prominent absorbance band at 1468 nm of melamine was retained when it was dry-blended with skim milk powder but disappeared in wet-blended mixtures, where spray-dried milk powder samples were prepared from solution. Analyses using polarized light microscopy, Raman spectroscopy, dielectric relaxation spectroscopy, X-ray diffraction, and mass spectrometry indicated that wet blending promoted reversible and early Maillard reactions with lactose that are responsible for differences in melamine NIR spectra between wet- and dry-blended samples. Targeted detection estimates based solely on dry-blended reference standards are likely to overestimate NIR detection capabilities in wet-blended samples as a result of previously overlooked matrix effects arising from changes in melamine hydrogen-bonding status, covalent complexation with lactose, and the lower but more homogeneous melamine local concentration distribution produced in wet-blended samples. Techniques used to incorporate potential adulterants can determine the suitability of milk reference standards for use with rapid detection methods.

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Section: Results and Discussionsupporting

confidence: 88%

“…The 1468 nm band was previously attributed to second overtones of NH 2 antisymmetric stretching in melamine and was observed in other studies using dry-blended melamine. 19,26,31,32 The same wet-blending phenomenon was observed in spectra acquired at 4 cm −1 resolution in lab N3.…”

Section: ■ Results and Discussionsupporting

confidence: 70%

Effects of the Adulteration Technique on the Near-Infrared Detection of Melamine in Milk Powder

Scholl

Bergana

Yakes

et al. 2017

J. Agric. Food Chem.

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“…23 Due to the health risks associated with melamine in foodstuffs, NIRS procedures have been developed to detect melamine in milk products and infant formulas. 24,25 In addition, benchtop NIR 6 and NIR microscopy imaging 26 have been used to screen soybean meal for the detection of melamine.…”

Section: Introductionmentioning

confidence: 99%

The use of handheld near-infrared reflectance spectroscopy (NIRS) for the proximate analysis of poultry feed and to detect melamine adulteration of soya bean meal

et al. 2015

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“…NIR can only acquire the spectra information but cannot provide the spatial information of the sample. NIR microscopy (NIRM) which combines NIR and digital images together is able to collect the spectrum of individual particles (the minimum spot size is a few micrometers) from samples [17]. With the development of a high-precision -motion stage, NIRM imaging is obtained by successively measuring spectra while the sample is repositioned in the and spatial dimensions.…”

Section: Introductionmentioning

confidence: 99%

Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria

Yang

Han

Wang

et al. 2016

Journal of Spectroscopy

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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.

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Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Cited by 7 publications

References 20 publications

Effects of the Adulteration Technique on the Near-Infrared Detection of Melamine in Milk Powder

Effects of the Adulteration Technique on the Near-Infrared Detection of Melamine in Milk Powder

The use of handheld near-infrared reflectance spectroscopy (NIRS) for the proximate analysis of poultry feed and to detect melamine adulteration of soya bean meal

Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria

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