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Proceedings Paper

Nondestructive determination of pear internal quality indices by near-infrared spectrometry
Author(s): Yande Liu; Xingmiao Chen; Aiguo Ouyang; Yibin Ying
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Paper Abstract

The objectives of the study were to establish relationships between the nondestructive near-infrared (NIR) spectral measurements and the major internal quality indices of pear ('Fengshui', Jiangxi) fruit, and to evaluate the use of NIR spectrometry in measuring the internal quality indices of pear fruit. Intact pear fruit were measured by reflectance NIR in 350-1800 nm range. In this study, Calibration models relating NIR spectra to soluble solids content (SSC), and firmness were developed based on multi-linear regression (MLR), Principal component analysis (PCA) and partial least square (PLS) regression with respect to the logarithms of the reflectance reciprocal log (1/R), its first derivative D1log (1/R)and second derivative D2log (1/R). The best combination, based on the prediction results, was MLR models with respect to D1log (1/R) at equatorial position of pear fruit. Prediction with MLR models resulted correlation coefficients (Rp) of 0.9151 and 0.8125, and root mean standard error of prediction (RMSEP) of 0.6834 and 1.3778 for SSC and firmness, respectively. The preliminary results of the built models indicated that NIR spectroscopy could provide an accurate, reliable and nondestructive method for assessing the internal quality indices of pear fruit.

Paper Details

Date Published: 1 May 2007
PDF: 9 pages
Proc. SPIE 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine, 653411 (1 May 2007); doi: 10.1117/12.741474
Show Author Affiliations
Yande Liu, Jiangxi Agricultural Univ. (China)
Zhejiang Univ. (China)
Xingmiao Chen, Jiangxi Agricultural Univ. (China)
Aiguo Ouyang, Jiangxi Agricultural Univ. (China)
Yibin Ying, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6534:
Fifth International Conference on Photonics and Imaging in Biology and Medicine

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