The Determination of Ethanol Levels in Facial Freshener Using the NIR Spectroscopy and Chemometric Method

IF 1.1 Q4 CHEMISTRY, ANALYTICAL
Wahyu Febriyanti, Nia Kristiningrum, Lestyo Wulandari
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引用次数: 0

Abstract

A facial freshener, also known as toner, is a cosmetic product that is commonly used to invigorate the face after a busy day. Ethanol serves as a key component in toner, serving multiple purposes such as being a solvent, preservative, and antimicrobial agent. However, it's important to note that toner formulated for normal skin types typically contain ethanol in small concentrations, adhering to a limit of not more than 10%. Therefore, this study aims to determine ethanol levels in toner using the NIR spectroscopy and chemometric techniques. The NIR spectra of the simulated samples were correlated with ethanol concentration using chemometric calibration model. The calibration models used were partial least square (PLS), principal component regression (PCR), and support vector regression (SVR). The calibration model was validated by leave one out cross validation (LOOCV) as well as the external validation, and the precision and accuracy of the method was evaluated. Among the calibration models, the PLS model exhibited the best performance, yielding an impressive R2 0.9976; with an RMSEC value of 0.4364 and RMSECV value of 0.4704. The internal validation yield R2 value more than 0.99 and RMSE of less than 0,4198. Furthermore, external validation showed the R2 and RMSEP value of 0.989 and 0.920 respectively. The %recovery and RSD value were 101.2% and 0.129%. Comparing ethanol measurements obtained through the NIR chemometric method with those obtained using gas chromatography as the reference method, no significant difference was observed at a 95% confidence levels, as indicated by a significance value of 0.231.
近红外光谱-化学计量法测定爽肤剂中乙醇含量
面部清新水,也被称为爽肤水,是一种化妆品,通常用于在忙碌的一天后为面部注入活力。乙醇是碳粉的关键成分,可作为溶剂、防腐剂和抗菌剂等多种用途。然而,重要的是要注意,为正常皮肤类型配制的爽肤水通常含有小浓度的乙醇,坚持不超过10%的限制。因此,本研究旨在利用近红外光谱和化学计量技术确定碳粉中的乙醇含量。采用化学计量校正模型对模拟样品的近红外光谱与乙醇浓度进行了相关性分析。校正模型采用偏最小二乘(PLS)、主成分回归(PCR)和支持向量回归(SVR)。通过留一交叉验证(LOOCV)和外部验证对标定模型进行了验证,并对方法的精密度和准确度进行了评价。在校正模型中,PLS模型表现出最好的性能,产生了令人印象深刻的R2 0.9976;RMSEC值为0.4364,RMSECV值为0.4704。内部验证的R2值大于0.99,RMSE小于0,4198。外部验证的R2和RMSEP值分别为0.989和0.920。回收率为101.2%,RSD值为0.129%。通过近红外化学测定法获得的乙醇测量值与以气相色谱法作为参考方法获得的乙醇测量值相比,在95%的置信水平上没有观察到显著差异,显著性值为0.231。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
14.30%
发文量
46
期刊介绍: BrJAC is dedicated to the diffusion of significant and original knowledge in all branches of Analytical Chemistry, and is addressed to professionals involved in science, technology and innovation projects at universities, research centers and in industry.
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