光谱学与光谱分析 |
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Estimation of Soluble Solids Content of Apple Fresh Juice by FTNIR Spectroscopy |
LU Hui-shan, YING Yi-bin*,FU Xia-ping, YU Hai-yan, LIU Yan-de, TIAN Hai-qing |
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China |
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Abstract The feasibility of Fourier transform near infrared (FTNIR) spectroscopic technology for rapid quantifying the soluble solids content (SSC) of apple fresh juice was investigated by means of spectral transmittance technique. A total of 60 juice samples were used to develop the calibration models. The relationship between laboratory SSC and FTNIR spectra of apple fresh juices was analyzed via principal component regression (PCR) and partial least squares (PLS) regression method using TQ 6.2.1 quantitative software. Models based on different spectral ranges were compared. Performance of different models was assessed in terms of root mean square errors of prediction (RMSEP) and correlation coefficients (r2) of validation set of samples. The best prediction models had a RMSEP of 0.603 0Brix and correlation coefficient (r2) of 0.997 for SSC. The results show that FTNIR transmittance technique is a feasible, accurate and fast method for non-invasive estimation of fruit fresh juice soluble solids content.
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Received: 2005-12-08
Accepted: 2006-03-06
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Corresponding Authors:
YING Yi-bin
E-mail: ybying@zju.edu.cn
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Cite this article: |
LU Hui-shan,YING Yi-bin,FU Xia-ping, et al. Estimation of Soluble Solids Content of Apple Fresh Juice by FTNIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(03): 494-498.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I03/494 |
[1] Kawano S, Sato T,Iwamoto M. Determination of Sugars in Satsuma Orange using NIR Transmittance. In Proceedings of the Fourth International Conference on NIR Spectroscopy, by Ed. Murray I, School of Agriculture, Aberdeen, Scotland, 1992. [2] Slaughter D C. Trans. of the American Society of Agricultural Engineers, 1995, 38(2): 617. [3] Lammertyn J, Nicolay B, Ooms K, et al. Transactions of the American Society of Agricultural Engineers, 1998, 41(4): 1089. [4] Chang W, Chen S,Guo L. Journal of Agricultural Machinery, 1998,7(1): 87. [5] Peiris K H S, Dull G G,Leffler R G,et al. Hort Science, 1999, 34(1): 114. [6] Chen C, Shaw J. Journal of Agricultural Machinery, 1999,8(1): 49. [7] Lu R. Transactions of the American Society of Agricultural Engineers, 2001,44(5): 1265. [8] Lu R,Ariana D A. Applied Engineering in Agriculture, 2002, 18: 585. [9] Slaughter D C, Thompson J F,Tan E S. Postharvest Biology and Technology, 2003,28: 437. [10] Liu Y, Ying Y, Chen Z, et al. Proceedings of SPIE-The International Society for Optical Engineering, 2004,5271:347. [11] Ying Y, Liu Y, Wang J,et al. Proceedings of SPIE-The International Society for Optical Engineering, 2004, 5272: 263. [12] LIU Yan-de, YING Yi-bin, FU Xia-ping(刘燕德,应义斌,傅霞萍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(11): 1793.
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