| 光谱学与光谱分析 |
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| Study on Predicting Sugar Content and Valid Acidity of Apples by Near Infrared Diffuse Reflectance Technique |
| LIU Yan-de1, 2, YING Yi-bin1, FU Xia-ping1 |
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China
2. College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China |
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Abstract The nondestructive method for quantifying sugar content (SC) and available acid (VA) of intact apples using diffuse near infrared reflectance and optical fiber sensing techniques were explored in the present research. The standard sample sets and prediction models were established by partial least squares analysis (PLS). A total of 120 Shandong Fuji apples were tested in the wave number of 12 500-4 000 cm-1 using Fourier transform near infrared spectroscopy. The results of the research indicated that the nondestructive quantification of SC and VA, gave a high correlation coefficient 0.970 and 0.906, a low root mean square error of prediction (RMSEP) 0.272 and 0.056 2, a low root mean square error of calibration (RMSEC) 0.261 and 0.067 7, and a small difference between RMSEP and RMSEC 0.011 and 0.011 5. It was suggested that the diffuse near infrared reflectance technique be feasible for nondestructive determination of apple sugar content in the wave number range of 10 341-5 461 cm-1 and for available acid in the wave number range of 10 341-3 818 cm-1.
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Received: 2004-03-30
Accepted: 2004-08-02
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Corresponding Authors:
LIU Yan-de
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| Cite this article: |
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LIU Yan-de,YING Yi-bin,FU Xia-ping. Study on Predicting Sugar Content and Valid Acidity of Apples by Near Infrared Diffuse Reflectance Technique [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(11): 1793-1796.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2005/V25/I11/1793 |
[1] YING Yi-bin, LIU Yan-de(应义斌，刘燕德). Chinese Journal of Zhejiang University(浙江大学学报·农业与生命科学版), 2003, 29(2): 125.
[2] LIU Yan-de, YING Yi-bin(刘燕德, 应义斌). Chinese Journal of Sensors and Actuators(传感技术学报), 2003, 20(2): 170.
[3] REN Yu-lin，BING Chun-ting, LU Jia-hui, et al(任玉林, 邴春亭，逯家辉，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 1996，16(6)：31.
[4] Lammertyn Jeroen, Peirs Ann, et al. Postharvest Biology and Technology, 2000, (18): 121.
[5] Peiris K H S, Dull G G, et al. Hort. Science, 1999, 34(1): 114.
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