Classification the geographical origin of corn distillers dried grains with solubles by near infrared reflectance spectroscopy combined with chemometrics: A feasibility study. (15th December 2015)

• Record Type: Journal Article
• Authors: Zhou, Xingfan; Yang, Zengling; Haughey, Simon A.; Galvin-King, Pamela; Han, Lujia; Elliott, Christopher T.
• Is Part Of: Food chemistry. Volume 189(2015)
• Page Start: 13
• Page End: 18
• Publication Date: 2015-12-15
• Subjects: Corn distillers dried grains with solubles -- Classification -- Near infrared reflectance spectroscopy -- Chemometrics; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2014.09.104
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: Classification the geographical origin of DDGS by NIRS was feasible. DDGS samples from China, Europe and USA have distinctive chemical properties. Classification model were simplified by CARS selected variables. Selected variables associated compositions well interpret the classification results. Abstract: In this study, 137 corn distillers dried grains with solubles (DDGS) samples from a range of different geographical origins (Jilin Province of China, Heilongjiang Province of China, USA and Europe) were collected and analysed. Different near infrared spectrometers combined with different chemometric packages were used in two independent laboratories to investigate the feasibility of classifying geographical origin of DDGS. Base on the same dataset, one laboratory developed a partial least square discriminant analysis model and another laboratory developed an orthogonal partial least square discriminant analysis model. Results showed that both models could perfectly classify DDGS samples from different geographical origins. These promising results encourage the development of larger scale efforts to produce datasets which can be used to differentiate the geographical origin of DDGS and such efforts are required to provide higher level food security measures on a global scale.