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The Detection of Soluble Solid Contents and Conductivity of Apple Juice by Homemade Near Infrared Spectrometer

文献类型： 外文期刊

作者： Zhu, Dazhou 1 ; Ma, Zhihong 1 ; Lu, Anxiang 1 ; Zhao, Liu 1 ; Tu, Zhenhua 3 ; Wang, Cheng 1 ; Pan, Ligang 1 ;

作者机构： 1.Nation Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Beijing Res Ctr Agri Food Testing & Farmland Moni, Beijing 100097, Peoples R China

3.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China

关键词： Near Infrared Spectroscopy;Homemade Spectrometer;Apple Juice;SSC;Conductivity

期刊名称：SENSOR LETTERS （ 影响因子：0.558； 五年影响因子：0.58 ）

ISSN：

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收录情况： SCI

摘要： 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 conductivity 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.

  • 相关文献

[1]A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments. Huang, Wenqian. 2018

[2]Near-Infrared Hyperspectral Imaging Combined with CARS Algorithm to Quantitatively Determine Soluble Solids Content in "Ya" Pear. Li Jiang-bo,Chen Li-ping,Huang Wen-qian,Peng Yan-kun. 2014

[3]Study on the Near Infrared Model Development of Mixed Liquid Samples by the Algorithm of OSC-PLS. Wang, Dong,Ye, Shengfeng,Min, Shungeng,Wang, Dong,Ma, Zhihong. 2011

[4]Research on Error Reduction of Path Change of Liquid Samples Based on Near Infrared Trans-Reflective Spectra Measurement. Wang Ya-hong,Dong Da-ming,Zheng Wen-gang,Wang Wen-zhong,Wang Ya-hong,Zhou Ping,Ye Song,Wang Wen-zhong. 2014

[5]Variable Selection in Visible and Near-Infrared Spectral Analysis for Noninvasive Determination of Soluble Solids Content of 'Ya' Pear. Li, Jiangbo,Huang, Wenqian,Chen, Liping,Fan, Shuxiang,Zhang, Baohua,Guo, Zhiming,Zhao, Chunjiang,Li, Jiangbo.

[6]Study on the Influence of Outlier Elimination in the Quantitative Near-Infrared Models of Paprika Quality. Wang, Dong,Wang, Jihua,Wang, Dong,Ma, Zhihong,Pan, Ligang,Wang, Jihua,He, Hongju,Wang, Dong,Min, Shungeng.

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