• 安全检测 •

### 衰减全反射傅里叶变换红外光谱测定米粉中硒代甲硫氨酸的含量

1. 1.湖北民族大学生物科学与技术学院，湖北 恩施 445000；2.国家富硒产品质量检测中心，湖北 恩施 445000；3.湖北民族大学 生物资源保护与利用湖北省重点实验室，湖北 恩施 445000
• 出版日期:2019-03-25 发布日期:2019-04-02
• 基金资助:
湖北省科技厅民族专项（2016AKB057）

### Determination of Selenium Methionine in Rice Flour by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

CHEN Meilin1, DU Fenni1, CHEN Ye1, CHENG Chao1, SHAN Changhai2, MO Kaiju1,3,*

1. 1. College of Biology Science and Technology, Hubei Minzu University, Enshi 445000, China; 2. National Selenium-Rich Product Quality Testing Center, Enshi 445000, China; 3. Hubei Key Laboratory of Biological Resources Protection and Utilization, Hubei Minzu University, Enshi 445000, China
• Online:2019-03-25 Published:2019-04-02

Abstract: Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) was used to determine the selenium methionine content in rice flour in order to develop a fast and environmentally friendly method for the determination of selenium in food. IR spectra of samples with added selenomethionine were collected by an attenuated total reflection mid-infrared spectrometer. The partial least square method was used to develop a mathematical model and the model was validated by TQ Analyst software. The results showed that the infrared spectra in the range of 1 600–650 cm-1 were selected for analysis. After derivative preprocessing of the original infrared spectra, good prediction results were obtained by using either the leave-one-out method or the leave-more-out method. Comparatively, the leaveone- out model with first derivative pretreatment was simpler in calculation and gave more accurate prediction. The coefficient of determination for calibration (RC 2 ) of the left-one-out model was greater than 0.997, the number of factors was 6, the root mean square error of calibration (RMSEC) was 1.76–1.9, the coefficient of determination for prediction (RP 2) was 0.986 8, the root mean square error of prediction (RMSEP) was 3.27, and the relative prediction deviation (RPD) was 8.612 9. The predicted values with a relative deviation of less than 20% and 10% accounted for 92.91% and 82.27% of the total, respectively.