基于太赫兹时域光谱的食用油过氧化值定量分析研究

针对目前太赫兹光谱技术在食用油品质检测方面存在定性多、定量难的问题,提出一种基于衰减全反射(ATR)式太赫兹时域光谱(THz-TDS)技术的食用油过氧化值定量分析方法.首先采集不同种类、不同氧化程度食用油样本的太赫兹时域光谱图,筛选有效信号波段并提取得到光学常数,经预处理算法校正后的光学常数,结合多种化学计量学方法建立...

Study on Quantitative Analysis of Edible Oil Peroxide Value by Terahertz Time Domain Spectroscopy

At present,Terahertz(THz)spectroscopy techniques are mainly used for qualitative analysis,but the application of THz technology can hardly be found in quantitative analysis in the detection of edible oil’s quality.This paper presents an approach to analyze edible oil quality based on Attenuated Total Reflection(ATR)and Terahertz Time Domain Spectroscopy(THz-TDS).Firstly,the THz-TDS of edible oil samples with different types and degrees of oxidation were collected,the effective signal band was filtered and the optical constants were extracted,the preprocessing algorithm corrected the optical constants,a variety of chemometrics methods were used to establish quantitative analysis models,in order to quickly and accurately predicted the peroxide value of edible oils.70 experimental samples were used,including soybean oils,rapeseed oils and corn oils,the peroxide value ranged from 0.41 to 10.23 mmol·kg^-1,and the peroxide value distribution of the samples was evenly distributed.A TeraPulse 4000 terahertz pulse spectroscopy system equipped with an ATR detection module belonging to TeraView was used to collect samples’THz-TDS signals.According to THz-TDS characteristics,the effective band 10 to 86.78 cm^-1 was selected for modeling analysis.The frequency domain signals were obtained by fast Fourier transform,and the optical constants were extracted:refractive index and absorption coefficient.Refractive index and absorption coefficient were preprocessed separately through Savitzky-Golay 7-points convolution smoothing,which had achieved the purpose of removing interference signals.The SPXY algorithm was used to divide the calibration set,and prediction set samples in a 3∶1 ratio.The peroxide value analysis models based on refractive index and absorption coefficient were established by the principal component regression algorithm and partial least square algorithm.The root mean square error and correlation coefficient of the model evaluation indexes were analyzed,the peroxide value analysis model based on the refractive index was modeled by partial least squares algorithm had ideal prediction accuracy.When the optimal principal component number was selected to be 6,RMSEC is0.168%,R2 is 0.981,RMSEP is 0.231%,r2 is 0.977.The principal component regression algorithm modeled the peroxide value analysis model based on the absorption coefficlent,and the prediction model had the best robustness.When the optimal principal component number was selected to be 10,RMSEC is 0.192%,R2 is 0.979,RMSEP is 0.262%,r2 is 0.97.This study verifies it is feasible to detect the peroxide value of edible oil by THz technology,and the more important innovation is a high-precision,stable performance,fast and non-destructive detection method for the evaluation of edible oil quality has been found.Furthermore,this research has important guiding significance for improving the safety of edible oil quality and building edible risk assessment systems.