<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Attenuated Total Reflectance-Fourier transform infrared spectroscopy coupled with chemometrics for the rapid detection of coconut water adulteration</dc:title><dc:creator>Teklemariam, Thomas A.</dc:creator><dc:creator>Moisey, John</dc:creator><dc:creator>Gotera, Jason</dc:creator><dc:source>Food chemistry 2021 v.355</dc:source><dc:subject>added sugars</dc:subject><dc:subject>adulterants</dc:subject><dc:subject>adulterated products</dc:subject><dc:subject>chemometrics</dc:subject><dc:subject>coconut water</dc:subject><dc:subject>data collection</dc:subject><dc:subject>food chemistry</dc:subject><dc:subject>high fructose corn syrup</dc:subject><dc:subject>infrared spectroscopy</dc:subject><dc:subject>least squares</dc:subject><dc:subject>prediction</dc:subject><dc:subject>principal component analysis</dc:subject><dc:subject>rapid methods</dc:subject><dc:identifier>7317094</dc:identifier><dc:description>Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR), in combination with chemometrics, was explored as a rapid method of detecting sugar adulteration in coconut water. In a simulated experiment, coconut water was substituted with binary sugars, mixed sugars, and high fructose corn syrup and discriminated using the fingerprint infrared band region between 1200 and 950 cm⁻¹. Principal component analysis (PCA) performed on data pre-processed by the Savitzky-Golay smoothing and gap-segment derivative, revealed data clusters discernible by the type and level of substituted sugars, enabling visual diagnosis of the similarity and anomalous features in the dataset. Statistical performance metrics following a cross-validated partial least square (PLS) regression indicated the prediction of adulterant sugars at single-digit percent substitutions. A parallel exploratory analysis of 31 different commercial coconut water samples showed a distinct PCA clustering for samples bearing the label “added sugar”, suggesting the potential use of the methods to screening samples for undeclared sugar additions.</dc:description><dc:date>2021-09-01</dc:date><dc:type>article</dc:type></oai_dc:dc>