Paper
27 October 2006 Nondestructive measurement of SSC of apples using Vis/NIR spectroscopy techniques
Xiaoli Li, Yihong Jiang, Xiujun Bai, Yong He
Author Affiliations +
Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60472B (2006) https://doi.org/10.1117/12.710938
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
Abstract
Visible/Near Infrared Speciroscopy (Vis/NIR) appears as a prominent technique for nondestructive fruit quality assessment. This research work was focused in to evaluate the use of Vis/NIRS in measuring the quality characteristics of intact Fuji apple (from Shanxi of China), and the relationship was established between nondestructive Vis/NIR spectral measurement and the soluble solids content of apple. Intact apple fruit were measured by reflectance Vis/NIR in 325-1075 nm range. The data set as the logarithms of the reflectance reciprocal (absorbance (logl/R)) was analyzed in order to build the best calibration model for this characteristic, using some spectral pretreatments and multivariate calibration techniques such as partial least square regression (PLS). The models for the SSC (r =0.862), standard error of prediction (SEP) 0.907 with a bias of 0.599; shown the reasonable prediction performance. The Vis/NIR spectroscopy technique had significantly accuracy for detennining the SSC. It was concluded that the Vis/NIRS measurement technique seems reliable to assess the soluble solids content of apple non-destructively.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoli Li, Yihong Jiang, Xiujun Bai, and Yong He "Nondestructive measurement of SSC of apples using Vis/NIR spectroscopy techniques", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472B (27 October 2006); https://doi.org/10.1117/12.710938
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KEYWORDS
Calibration

Data modeling

Nondestructive evaluation

Reflectivity

Spectroscopy

Solids

Performance modeling

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