Targeted and Untargeted Detection of Skim Milk Powder Adulteration by Near-Infrared Spectroscopy
| Autor: | Edoardo Capuano, Alex Koot, S.M. van Ruth, Rita Boerrigter-Eenling |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
food.ingredient
Acid whey Applied Microbiology and Biotechnology Analytical Chemistry Class modelling chemistry.chemical_compound food Near-infrared spectroscopy BU Authenticity & Bioassays Skimmed milk Partial least squares regression Screening method Food science Safety Risk Reliability and Quality VLAG Adulterant Skim milk powder Chromatography Chemistry Class model Starch Maltodextrin Adulteration Food Quality and Design BU Authenticiteit & Bioassays Principal component regression Safety Research Food Science |
| Zdroj: | Food Analytical Methods 8 (2015) 8 Food Analytical Methods, 8(8), 2125-2134 |
| ISSN: | 1936-976X 1936-9751 |
| Popis: | In the present study, near-infrared spectroscopy (NIRS) was explored as a fast and reliable screening method for the detection of adulteration of skim milk powder (SMP). Sixty genuine SMP were adulterated with acid whey (1–25 % w/w), starch (2 and 5 %) and maltodextrin (2 and 5 %) for a total of 348 adulterated samples. Two chemometric approaches were employed. In the first approach, an untargeted one class model for genuine skim milk powder was developed by Soft Independent Modelling of Class Analogy. In the second approach, adulterant-specific regression models were developed to assess the amount of each adulterant by partial least square regression and principal component regression. The class modelling approach had the advantage that several adulterants could be detected with the same chemometric model, including situations where multiple adulterants are present in the test sample or where yet unknown adulterants are present. Regression models showed a better sensitivity with genuine SMP samples completely discriminated from samples adulterated with 5 % acid whey and 2 % of starch or maltodextrin. NIRS proved to be a useful tool for the rapid and cost-efficient untargeted and/or targeted detection of adulterations in SMP. |
| Databáze: | OpenAIRE |
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