Hu Keqing, Huyan Zongyao, Geng Qiaona, Yu Xiuzhu
College of Food Science and Engineering, Northwest A&F University.
J Oleo Sci. 2019 Feb 1;68(2):121-129. doi: 10.5650/jos.ess18156. Epub 2019 Jan 17.
A Fourier transform infrared (FTIR) spectroscopy with infrared quartz cuvette (IQC) as spectral accessory method was developed to determine acid value (AV) of edible oils. The absorption peak at 5680 cm/5487 cm ascribed to the C-H stretching band was a substitute for the peak of an internal standard. Partial least square (PLS) regression was used for AV calibration, and samples were validated by titrated method. Results showed dilution calibration was feasible for randomly dilution among 6-13:1 (CCl: oils, v/v). PLS calibration was optimal by a spectral wavenumber (3603 cm-3250 cm) as the first derivative treatment. Correlation coefficient and root mean square error of calibration were 0.9967 and 0.135, respectively. Calibrated validation, blind sample validation and precision analysis presented a good correlation between IQC-FTIR and titrated methods. Based on the dilution calibration, randomly diluted oil samples can be employed by IQC-FTIR.
开发了一种以红外石英比色皿(IQC)作为光谱附件方法的傅里叶变换红外(FTIR)光谱法来测定食用油的酸值(AV)。归属于C-H伸缩带的5680 cm/5487 cm处的吸收峰替代了内标峰。采用偏最小二乘(PLS)回归进行AV校准,并通过滴定法对样品进行验证。结果表明,在6-13:1(四氯化碳:油,v/v)之间随机稀释进行稀释校准是可行的。以光谱波数(3603 cm-3250 cm)作为一阶导数处理时,PLS校准效果最佳。校准的相关系数和均方根误差分别为0.9967和0.135。校准验证、盲样验证和精密度分析表明IQC-FTIR与滴定法之间具有良好的相关性。基于稀释校准,IQC-FTIR可用于随机稀释的油样。