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An indirect analytical approach based on ATR-FTIR spectroscopy for determining the FFA content in vegetable oils

机译：基于ATR-FTIR光谱法测定植物油中FFA含量的间接分析方法

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摘要

In this study, we developed a novel approach for determining a free fatty acid (FFA) in vegetable oils using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. FFA was converted to carboxylate species by a reaction with phthalimide potassium salt, and the linear relationship between FFA content and ATR-FTIR peak areas at 1541-1616 cm(-1)(1595 cm(-1)as baseline) was established. Results showed that theR(2)values obtained during calibration and validation were more than 0.99. The calibration method concurred to within +/- 0.035% over the range of 0.4% to 4.0% (quantitative determination of the percentage of FFA in oils, expressed as the percentage of oleic acid). In the calibration model, the root mean square error of prediction was 0.0104, the relative error was less than 0.246% and the relative average deviation was 0.386%, respectively. These indexes demonstrated that the calibration model has great accuracy, high precision and good stability. The indirect method established using ATR-FTIR has the advantages of excellent reproducibility, high exactitude, independent of oil type, simple operation and easy cleaning of the instrument surface. The slope of the verification equation between FFA prediction values and American Oil Chemists' Society's (AOCS) titration method was close to 1,R(2)value was more than 0.99. These indicators suggested that the proposed method and the AOCS method have a good correlation through AOCS titration and ATR-FTIR spectroscopy to determine validation samples parallel. In addition, for comparison, when the AOCS titration and ATR-FTIR spectroscopy methods were used for sample validation, the results indicated that the latter method is more reproducible, highly sensitive and has strong anti-disturbance. Therefore, the ATR-FTIR technique can be applied as a simple, highly sensitive, convenient and timely method for the analysis of FFAs in oils.
机译：在这项研究中，我们开发了用于确定在使用衰减全反射傅里叶变换红外（ATR-FTIR）光谱植物油游离脂肪酸（FFA）的新方法。 FFA通过用邻苯二甲酰亚胺钾盐反应，并在1541至1616年厘米（-1）（1595厘米（-1）作为基线）FFA含量和ATR-FTIR峰面积之间的线性关系成立转化为羧酸盐的种类。结果表明，校准和验证过程中获得的THER（2）值分别为0.99以上。校准方法在0.4％的范围内+/- 0.035％凑至4.0％（FFA的油中的比例，表示为油酸的百分比的定量测定）。在校准模型，预测的根均方误差为0.0104，相对误差小于0.246％，相对平均偏差为0.386％，分别。这些指标表明，校正模型具有很高的精度，精度高，稳定性好。使用ATR-FTIR建立的间接方法具有优异的再现性，高精确性，油型，简单的操作和仪器表面的易于清洁的独立的优点。 FFA预测值和美国石油化学家学会的（AOCS）滴定法之间的验证方程的斜率接近1，R（2）值大于0.99。这些指标表明，所提出的方法和AOCS方法具有通过AOCS滴定和ATR-FTIR光谱的良好相关性，以确定验证样品平行。另外，为了比较，当AOCS滴定和ATR-FTIR光谱学的方法用于样品验证，结果表明，后者的方法是更可再现的，高度敏感的，并具有较强的抗干扰。因此，ATR-FTIR技术可为简单的，高度敏感的，方便及时方法游离脂肪酸的油中的分析来施加。

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  • 来源
    《RSC Advances》 |2020年第40期|共6页
  • 作者

    Dong Yaoyao; Shi Shaoxia; Li Qi; Zhang Lingyan; Yu Xiuzhu;

  • 作者单位

    Northwest A&

    F Univ Coll Food Sci &

    Engn 22 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&

    F Univ Coll Food Sci &

    Engn 22 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&

    F Univ Coll Food Sci &

    Engn 22 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&

    F Univ Coll Food Sci &

    Engn 22 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&

    F Univ Coll Food Sci &

    Engn 22 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

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