Share Email Print

Proceedings Paper

A portable device for detecting fruit quality by diffuse reflectance Vis/NIR spectroscopy
Author(s): Hongwei Sun; Yankun Peng; Peng Li; Wenxiu Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Soluble solid content (SSC) is a major quality parameter to fruit, which has influence on its flavor or texture. Some researches on the on-line non-invasion detection of fruit quality were published. However, consumers desire portable devices currently. This study aimed to develop a portable device for accurate, real-time and nondestructive determination of quality factors of fruit based on diffuse reflectance Vis/NIR spectroscopy (520-950 nm). The hardware of the device consisted of four units: light source unit, spectral acquisition unit, central processing unit, display unit. Halogen lamp was chosen as light source. When working, its hand-held probe was in contact with the surface of fruit samples thus forming dark environment to shield the interferential light outside. Diffuse reflectance light was collected and measured by spectrometer (USB4000). ARM (Advanced RISC Machines), as central processing unit, controlled all parts in device and analyzed spectral data. Liquid Crystal Display (LCD) touch screen was used to interface with users. To validate its reliability and stability, 63 apples were tested in experiment, 47 of which were chosen as calibration set, while others as prediction set. Their SSC reference values were measured by refractometer. At the same time, samples' spectral data acquired by portable device were processed by standard normalized variables (SNV) and Savitzky-Golay filter (S-G) to eliminate the spectra noise. Then partial least squares regression (PLSR) was applied to build prediction models, and the best predictions results was achieved with correlation coefficient (r) of 0.855 and standard error of 0.6033° Brix. The results demonstrated that this device was feasible to quantitatively analyze soluble solid content of apple.

Paper Details

Date Published: 1 May 2017
PDF: 6 pages
Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170T (1 May 2017); doi: 10.1117/12.2262526
Show Author Affiliations
Hongwei Sun, China Agricultural Univ. (China)
Yankun Peng, China Agricultural Univ. (China)
Peng Li, China Agricultural Univ. (China)
Wenxiu Wang, China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 10217:
Sensing for Agriculture and Food Quality and Safety IX
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?