文章基本信息

标题：Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers
本地全文：下载
作者：Nageshvar Patel ; Hugo Toledo-Alvarado ; Alessio Cecchinato 等
期刊名称：Foods
电子版ISSN：2304-8158
出版年度：2020
卷号：9
期号：10
页码：1389-1407
DOI：10.3390/foods9101389
出版社：MDPI Publishing
摘要：The aim of this study was to test the predictability of a detailed mineral profile of beef using different portable near-infrared spectrometers (NIRS). These devices are rapid, chemical waste-free, cheap, nondestructive tools that can be used directly on the meat surface in the work environment without the need to take samples. We compared a transportable Visible-NIRS (weight 5.6 kg; wavelength 350–1830 nm), a portable NIRS (2.0 kg; 950–1650 nm), and a hand-held Micro-NIRS (0.06 kg; 905–1649 nm) to predict the contents of 20 minerals (measured by ICP-OES) in 178 beef samples (Longissimus thoracis muscle) using different mathematical pretreatments of the spectra and partial least square regressions. The externally validated results show that Fe, P, Mg, S, Na, and Pb have some potential for prediction with all instruments (R2VAL: 0.40–0.83). Overall, the prediction performances of the three instruments were similar, although the smallest (Micro-NIRS) exhibited certain advantages.
关键词：micro-nutrients; trace and environmental elements; portable NIR instruments; near infrared absorbance; chemometrics micro-nutrients ; trace and environmental elements ; portable NIR instruments ; near infrared absorbance ; chemometrics