Evaluation of portable near-infrared spectroscopy for organic milk authentication
| العنوان: | Evaluation of portable near-infrared spectroscopy for organic milk authentication |
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| المؤلفون: | Hector Aya Parra, Saskia M. van Ruth, Kasper Hettinga, A.M. Pustjens, Liu Ningjing, Philippe Mongondry |
| المساهمون: | RIKILT, Wageningen University and Research [Wageningen] (WUR), Wageningen University and Research Centre (WUR), Ecole Supérieure d'Agriculture (Groupe ESA), Université Bretagne Loire (COMUE) (UBL), Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Institut National de la Recherche Agronomique (INRA)-Ecole supérieure d'Agricultures d'Angers (ESA), China Scholarship Council [201406350053] |
| المصدر: | Talanta Talanta, Elsevier, 2018, 184, pp.128-135. ⟨10.1016/j.talanta.2018.02.097⟩ Liu, N, Parra, H A, Pustjens, A, Hettinga, K, Mongondry, P & van Ruth, S M 2018, ' Evaluation of portable near-infrared spectroscopy for organic milk authentication ', Talanta, vol. 184, pp. 128-135 . https://doi.org/10.1016/j.talanta.2018.02.097 Talanta, 184, 128-135 Talanta 184 (2018) |
| بيانات النشر: | Elsevier BV, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Organic product, [SDV]Life Sciences [q-bio], Micro-NIRS, Least squares approximations, 01 natural sciences, FT-NIRS, [SHS]Humanities and Social Sciences, Analytical Chemistry, fluids and secretions, Organic milk, Probability density function, Probability distributions, Analytical methodology, Partial least squares regression, Food science, Class probabilities, Gas chromatography, milk, Authentication, Spectroscopy, Near-Infrared, Chemistry, Fatty Acids, food and beverages, Agriculture, 04 agricultural and veterinary sciences, Discriminant analysis, near infrared spectroscopy, Animals, 040401 food science, Milk, Food Quality and Design, Crime, Near infrared spectroscopy, Infrared devices, Classification performance, chemistry, Kernel Density Estimation, Chemometrics, 0404 agricultural biotechnology, Class probability, BU Authenticity & Bioassays, Animals, VLAG, SDG 16 - Peace, Justice and Strong Institutions, 010401 analytical chemistry, Near-infrared spectroscopy, technology, industry, and agriculture, Partial least squares - discriminant analysis, Fatty acids, fatty acid, animal, Costs, 0104 chemical sciences, BU Authenticiteit & Bioassays |
| الوصف: | Organic products are vulnerable to fraud due to their premium price. Analytical methodology helps to manage the risk of fraud and due to the miniaturization of equipment, tests may nowadays even be rapidly applied on-site. The current study aimed to evaluate portable near infrared spectroscopy (NIRS) in combination with chemometrics to distinguish organic milk from other types of milk, and compare its performance with benchtop NIRS and fatty acid profiling by gas chromatography. The sample set included 37 organic retail milks and 50 non-organic retail milks (of which 36 conventional and 14 green ‘pasture’ milks). Partial least squares discriminant analysis was performed to build classification models and kernel density estimation (KDE) functions were calculated to generate non-parametric distributions for samples’ class probabilities. These distributions showed that portable NIRS was successful to distinguish organic milks from conventional milks, and so were benchtop NIRS and fatty acid profiling procedures. However, it was less successful when ‘pasture’ milks were considered too, since their patterns occasionally resembled those of the organic milk group. Fatty acid profiling was capable of distinguishing organic milks from both non-organic milks though, including the ‘pasture’ milks. This comparative study revealed that the classification performance of the portable NIRS for this application was similar to that of the benchtop NIRS. © 2018 Elsevier B.V. |
| وصف الملف: | application/pdf |
| تدمد: | 0039-9140 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3546ed1889d828381ad63ccddf90a74 https://doi.org/10.1016/j.talanta.2018.02.097 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....b3546ed1889d828381ad63ccddf90a74 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00399140 |
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