ATR-FTIR光谱及化学计量学分析掺假下丘脑对虾油

L. Andina, Revita Saputri, Aristha Novyra Putri, E. Lukitaningsih, A. Rohman
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摘要

本文采用ATR-FTIR光谱法和化学计量学方法对掺假的下丘脑巴沙鱼油进行了分类和定量分析。本研究的目的是评价ATR-FTIR光谱和化学计量学对棕榈油(PO)和椰子油(CO)二元混合物中掺假的下视黄酮油进行分类和定量分析的能力。在发展FTIR光谱与化学计量学相结合的方法对下丘脑油进行分类和定量分析时,将下丘脑油(MP和LFP)与其他油(如椰子油(CO)和棕榈油(PO))在浓度为1-99% v/v的情况下混合。采用主成分分析(PCA)对下丘脑油、PO和CO进行分类,采用偏最小二乘法(PLS)进行定量分析。在此基础上,采用波数为1400 ~ 1100 cm-1的一阶导数谱获得了最佳分类效果。PLS法预测油中掺假率的R2值大于0.9999,标准误差在0.0176 ~ 0.703范围内。利用一阶导数谱在1400 ~ 1100 cm-1波数下进行了预测。
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Analysis of Adulterated Pangasius Hypopthalmus Oil by ATR-FTIR Spectroscopy and Chemometric
In this recent study, ATR-FTIR spectroscopy and chemometrics have been successfully used for theclassification and quantitative analysis of adulterated Pangasius Hypopthalmus (P. hypopthalmus) oil. The aimof this research was to evaluate the ability of ATR-FTIR spectroscopy and chemometric to perform theclassification and quantitative analysis of adulterated P. hypopthalmus oil in a binary mixture with palm oil(PO) and coconut oil (CO). In the development of FTIR spectroscopy combined with chemometrics for theclassification and quantitative analysis of P. hypopthalmus oil, P. hypopthalmus oil (MP and LFP) mixed withother oils such as coconut oil (CO) and palm oil (PO) at concentrations of 1-99% v/v. Classification of P.hypopthalmus oil, PO and CO were performed by the principal component analysis (PCA) and thequantification analysis was carried out by partial least square (PLS). Based on the optimization process, thebest classification results were obtained using the first derivative spectra at wave numbers of 1400-1100 cm-1.The prediction of percentage adulterated oil by PLS method also showed very good values of R2 greater than0.9999 and low standard error values in the range of 0.0176-0.703. The prediction was also perform at1400-1100 cm-1 wavenumbers using the first derivative spectra.
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