Assessment of Nitrite Content in Vienna Chicken Sausages Using Near-Infrared Hyperspectral Imaging

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dc.contributor.authorAchiraya Tantinantrakun
dc.contributor.authorAnthony Keith Thompson
dc.contributor.authorAnupun Terdwongworakul
dc.contributor.authorSontisuk Teerachaichayut
dc.date.accessioned2026-05-08T19:17:39Z
dc.date.issued2023-7-23
dc.description.abstract) of 0.92 and a root mean square error of prediction (RMSEP) of 15.603 mg/kg. The results of the classification using the partial least square-discriminant analysis (PLS-DA) showed a satisfied accuracy for prediction of 91.30%. It was therefore concluded that they were sufficiently accurate for screening and that NIR-HSI has the potential to be used for the fast, accurate and reliable assessment of nitrite content in chicken sausages.
dc.identifier.doi10.3390/foods12142793
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16120
dc.publisherFoods
dc.subjectMeat and Animal Product Quality
dc.subjectSpectroscopy and Chemometric Analyses
dc.titleAssessment of Nitrite Content in Vienna Chicken Sausages Using Near-Infrared Hyperspectral Imaging
dc.typeArticle

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