光谱学与光谱分析 |
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Visible Transmittance Techniques for Rapid Analysis of Sugar Content of Fresh Navel Orange Juices |
LIU Yan-de1, 2,LUO Ji1,OUYANG Ai-guo1 |
1. College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China 2. College of Biosystems Engineering & Food Science, Zhejiang University, Hangzhou 310029, China |
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Abstract The feasibility of visible spectroscopic technology for rapid quantifying sugar content (SC) of navel orange fresh juices was investigated by means of spectral transmittance technique. A total of 55 juice samples were used to develop the calibration and prediction models. Calibration models based on different spectral ranges and different spectral pretreatment were compared in the precent research. Performance of different models was investigated in terms of root mean square errors of prediction (RMSEP) and correlation coefficient (r) of validation set of samples. The correlation coefficient of calibration model for SC was 0.965, the correlation coefficient of prediction model for SC was 0.857, and the corresponding RMSEP was 0.562. The results show that visible transmittance technique is a feasible method for non-invasive estimation of fruit juice SC.
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Received: 2005-11-16
Accepted: 2006-03-31
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Corresponding Authors:
LIU Yan-de
E-mail: jxliuyd@mail.jxau.edu.cn
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Cite this article: |
LIU Yan-de,LUO Ji,OUYANG Ai-guo. Visible Transmittance Techniques for Rapid Analysis of Sugar Content of Fresh Navel Orange Juices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(03): 569-572.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I03/569 |
[1] 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. [2] YING Yi-bin, LIU Yan-de,FU Xia-ping(应义斌, 刘燕德,傅霞萍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(1): 63. [3] LIU Yan-de, ZENG Yi-fang(刘燕德, 曾一凡). Journal of Jiangxi Agricultural University(江西农业大学学报), 2002, 24(3): 411. [4] Crowe T G, et al. Transactions of American Society of Agricultural Engineers, 1991, 39(6): 2299. [5] Steinmetz Z, et al. Journal of Agricultural Engineering Research, 1999, 73(2): 207. [6] ZHU Er-yi, YANG Peng-yuan (朱尔一, 杨芃原). Application and Technique of Chemometric(化学计量学技术及应用). Beijing: Science Press (北京: 科学出版社), 2001. 11. [7] XU Guang-tong, YUAN Hong-fu, LU Wan-zhen(徐广通, 袁洪福, 陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2000, 20(2): 134. [8] YING Yi-bin, LIU Yan-de. Postharvest Biology Technolo.,2005, 37:65. |
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