The detection of SSC and conductivity of apple juice by homemade NIR spectrometer
The detection of apple juice is very important for its quality and safety assurance. The developing of fast, non-invasive detection system is beneficial to the improvement of producing efficiency and cost. In this study, the homemade near infrared (NIR) spectrometer was applied to detect the soluble solid contents (SSC) and conductivity of apple juice, and the performance of homemade NIR analyzer and the feasibility of detecting conductivity by NIR spectra were investigated. Three varieties of apples (totally 120 samples) were collected, including Fuji apple, American green apple, and Chinese green apple. The fresh pellucid apple juice was made and their spectra were measured by a homemade charge coupled device (CCD) NIR spectrometer. The result showed that homemade CCD NIR spectrometer could accurately predict the SSC of apple juice in the wavelength range of 780-1100 nm combined with partial-least square regression. The correlation coefficient of calibration was r=0.96, the standard deviation of prediction was SEP=0.45°Brix, the relative of SEP was SEP％=3.75％. The results indicated that the homemade NIR analyzer applied in this study had good performance, and the predictive ability of model was as good as that obtained by FT-NIR spectrometer. NIR spectra and the conducbut the prediction accuracy was low. The prediction result was SEP=0.30，SEP％=15.14％. From the analysis of regression coefficients of PLS model, it can be concluded that the conductivity and NIR spectra may have some indirect relation through the ionization of organic acid.tivity of apple juice had some correlation (r=0.77),but the prediction accuracy was low. The prediction result was SEP=0.30，SEP％=15.14％. From the analysis of regression coefficients of PLS model, it can be concluded that the conductivity and NIR spectra may have some indirect relation through the ionization of organic acid.
near infrared spectroscopy homemade spectrometer apple juice SSC conductivity.
Dazhou Zhu Zhihong Ma Anxiang Lu Liu Zhao Zhenhua Tu Cheng Wang Ligang Pan
Nation Engineering Research Center for Information Technology in Agriculture,Beijing,100097,China Be College of Food Science and Nutritional Engineering,China Agricultural University,Beijing 100083,Chi Nation Engineering Research Center for Information Technology in Agriculture,Beijing,100097,China
国际会议
北京
英文
1-17
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）