Analysis of Free Fatty Acids (FFA) in Palm Oils Based on the Raman Spectra

Siti Nurshaheera Shaharuzzaman, F. H. Hashim, Mohd Shaiful Sajab, A. B. Huddin
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Abstract

Palm oil is a stable vegetable oil with various uses in both the food and non-food industries. The quality of edible palm oil is measured by its content of free fatty acids (FFA), which should be below 5% to be safely consumed and used, according to The Palm Oil Refiners Association of Malaysia (PORAM). Current titration methods require that the oil sample be dissolved in neutralized ethanol/diethyl, which is a long process that can damage the sample and cause delays and losses in the process. The focus of this study is to analyze the FFA in palm oils based on the Raman spectra of palm oil samples and oil palm fruitlets. Four samples of commercially available palm oils of different qualities, as well as 47 samples of oil palm fruitlets, were used in this study. The Raman spectra of all samples were collected via point scanning using a confocal microRaman imaging spectrometer with a 532 nm laser source. Manual spectrum pre-processing was performed with baseline correction and data filtering using Savitzky-Golay filters. Possible FFA peaks characteristics on the Raman spectrum were then identified through signal interpolation, signal deconvolution, and curve fitting. Statistical analysis was conducted on the extracted features to remove those with low statistical values, thus helping the machine learning algorithms to train the classifier models more efficiently. From this study, it was found that peaks at 1155 cm−1, 1525 cm−1, 1440 cm−1, and 1655 cm−1 from the Raman spectrum were highly correlated with the FFA levels of palm oils obtained through titration. The peak ratios of 1525 cm−1/1655 cm−1 and 1155 cm−1/1655cm−1 also showed a good and fast relationship for analyzing the FFA content of palm oil.
棕榈油中游离脂肪酸(FFA)的拉曼光谱分析
棕榈油是一种稳定的植物油,在食品和非食品工业中都有多种用途。根据马来西亚棕榈油精炼协会(PORAM)的说法,食用棕榈油的质量是通过其游离脂肪酸(FFA)的含量来衡量的,游离脂肪酸(FFA)的含量应低于5%才能安全食用和使用。目前的滴定方法需要将油样溶解在中和的乙醇/二乙基中,这是一个漫长的过程,会损坏样品,并在过程中造成延迟和损失。本研究的重点是基于棕榈油样品和油棕果实的拉曼光谱分析棕榈油中的FFA。本研究使用了四种不同品质的市售棕榈油样品以及47种油棕果实样品。采用532 nm激光源共聚焦微拉曼成像光谱仪进行点扫描采集样品的拉曼光谱。人工光谱预处理采用基线校正和Savitzky-Golay滤波器进行数据滤波。然后通过信号插值、信号反卷积和曲线拟合来识别拉曼光谱上可能的FFA峰特征。对提取的特征进行统计分析,去除统计值较低的特征,从而帮助机器学习算法更有效地训练分类器模型。从这项研究中,我们发现拉曼光谱中1155 cm−1、1525 cm−1、1440 cm−1和1655 cm−1处的峰与通过滴定得到的棕榈油FFA水平高度相关。1525 cm−1/1655cm−1和1155 cm−1/1655cm−1的峰值比值也显示出较好的快速关系,可用于分析棕榈油的FFA含量。
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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