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Investigation of Raman Spectroscopy (with Fiber Optic Probe) and Chemometric Data Analysis for the Determination of Mineral Content in Aqueous Infant Formula

机译:RAMAN光谱(纤维探头)和化学计量数据分析研究含水婴儿配方条件中矿物质含量的测定

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摘要

This study investigated the use of Raman spectroscopy (RS) and chemometrics for the determination of eight mineral elements (i.e., Ca, Mg, K, Na, Cu, Mn, Fe, and Zn) in aqueous infant formula (INF). The samples were prepared using infant formula powder reconstituted to concentrations of 3%–13% w/w (powder: water) (n = 83). Raman spectral data acquisition was carried out using a non-contact fiber optic probe on the surface of aqueous samples in 50–3398 cm−1. ICP-AES was used as a reference method for the determination of the mineral contents in aqueous INF samples. Results showed that the best performing partial least squares regression (PLSR) models developed for the prediction of minerals using all samples for calibration achieved R2CV values of 0.51–0.95 with RMSECVs of 0.13–2.96 ppm. The PLSR models developed and validated using separate calibration (n = 42) and validation (n = 41) samples achieved R2CVs of 0.93, 0.94, 0.91, 0.90, 0.97, and 0.94, R2Ps of 0.75, 0.77, 0.31, 0.60, 0.84, and 0.80 with RMSEPs of 3.17, 0.29, 3.45, 1.51, 0.30, and 0.25 ppm for the prediction of Ca, Mg, K, Na, Fe, and Zn respectively. This study demonstrated that RS equipped with a non-contact fiber optic probe and combined with chemometrics has the potential for timely quantification of the mineral content of aqueous INF during manufacturing.
机译:该研究研究了拉曼光谱(RS)和化学计量学用于测定婴儿配方(INF)中的八种矿物元素(即Ca,Mg,K,Na,Cu,Mn,Fe和Zn)。使用婴儿配方粉末制备样品,该粉末重构为3%-13%w / w(粉末:水)(n = 83)。拉曼光谱数据采集进行在50-3398厘米-1使用含水样品的表面上的非接触式光纤探头。 ICP-AE被用作测定含水水溶液中矿物质含量的参考方法。结果表明,使用所有样品预测用于校准的矿物质的最佳性能最小二乘回归(PLSR)模型实现了0.51-0.95的RMSCV的R2CV值0.13-2.96ppm。使用单独的校准(n = 42)和验证(n = 41)样品开发和验证的PLSR模型,达到0.93,0.94,0.91,0.90,0.97和0.94,R2PS为0.75,0.77,0.31,0.60,0.84,和0.80,RMSEPS为3.17,0.29,3.45,1.51,0.3.45,1.51,0.30和0.25ppm,分别预测Ca,Mg,K,Na,Fe和Zn。本研究表明,配备有非接触式光纤探针并与化学计量学结合的卢比具有在制造过程中及时定量含水INF的矿物质含量。

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