Design, Construction, and Testing of an Automated NIR In-line Analysis System for Potatoes. Part I: Off-line NIR Feasibility Study for the Characterization of Potato Composition |
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Authors: | Kommer Brunt Willem C Drost |
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Institution: | (1) Present address: Department Carbohydrate Analyses, Eurofins Food BV, P.O. BOX 766, 8440 AT Heerenveen, The Netherlands;(2) Department Innovative Ingredients and Products, TNO Nutrition and Food Research Institute, Utrechtseweg 48, 3704 HE Zeist, The Netherlands |
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Abstract: | An off-line near-infrared reflectance (NIR) feasibility study was conducted to explore the critical steps in the NIR determination
of the major potato constituents (dry matter, starch, and protein) in relatively large (10 kg) potato samples. The results
were important for the design of an automated industrial analysis system for potatoes with in-line NIR. The 10-kg potato samples
were pulped with an industrial rotary saw blade rasp. A critical step in the NIR measurements was the occurrence of phase
separation in the potato pulp. Phase separation manifests itself directly after pulping the potatoes and significantly affects
the NIR spectrum. Therefore, during the NIR measurements, the potato pulp had to be stirred continuously. The NIR spectra
(1,100–2,500 nm) were measured by applying an optical fiber NIR probe (EDAPT-1) connected to the NIR spectrophotometer (Technicon
Infralyzer IA 500). NIR models for the concentration of dry matter, starch, and coagulating protein in potatoes have been
developed. With the partial least squares regression procedure, promising NIR models were calculated. The NIR models were
validated using an independent validation set of potato samples. The root mean square error in prediction of the samples in
the validation set was 0.5% (w/w) for dry matter, 0.63 (w/w) for starch concentration, and 0.06% (w/w) for the coagulating
protein. |
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