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Appl. Sci. 2017, 7(1), 77; doi:10.3390/app7010077

Application of Near-Infrared Hyperspectral Imaging to Detect Sulfur Dioxide Residual in the Fritillaria thunbergii Bulbus Treated by Sulfur Fumigation

1
,
2,* and 2,*
1
Zhejiang Academy of Traditional Chinese Medicine, Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou 310007, China
2
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Kuanglin Kevin Chao
Received: 8 November 2016 / Revised: 22 December 2016 / Accepted: 6 January 2017 / Published: 12 January 2017
(This article belongs to the Special Issue Applications of Hyperspectral Imaging for Food and Agriculture)
View Full-Text   |   Download PDF [2586 KB, uploaded 12 January 2017]   |  

Abstract

Sulfur-fumigated Chinese medicine is a common issue in the process of Chinese medicines. Detection of sulfur dioxide (SO2) residual content in Fritillaria thunbergii Bulbus is important to evaluate the degree of sulfur fumigation and its harms. It helps to control the use of sulfur fumigation in Fritillaria thunbergii Bulbus. Near-infrared hyperspectral imaging (NIR-HSI) was explored as a rapid, non-destructive, and accurate technique to detect SO2 residual contents in Fritillaria thunbergii Bulbus. An HSI system covering the spectral range of 874–1734 nm was used. Partial least squares regression (PLSR) was applied to build calibration models for SO2 residual content detection. Successive projections algorithm (SPA), weighted regression coefficients (Bw), random frog (RF), and competitive adaptive reweighted sampling (CARS) were used to select optimal wavelengths. PLSR models using the full spectrum and the selected optimal wavelengths obtained good performance. The Bw-PLSR model was applied on a hyperspectral image to form a prediction map, and the results were satisfactory. The overall results in this study indicated that HSI could be used as a promising technique for on-line visualization and monitoring of SO2 residual content in Fritillaria thunbergii Bulbus. Detection and visualization of Chinese medicine quality by HSI provided a new rapid and visual method for Chinese medicine monitoring, showing great potential for real-world application. View Full-Text
Keywords: Fritillaria thunbergii Bulbus; sulfur dioxide residual; sulfur fumigation; optimal wavelength selection; image visualization Fritillaria thunbergii Bulbus; sulfur dioxide residual; sulfur fumigation; optimal wavelength selection; image visualization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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He, J.; Zhang, C.; He, Y. Application of Near-Infrared Hyperspectral Imaging to Detect Sulfur Dioxide Residual in the Fritillaria thunbergii Bulbus Treated by Sulfur Fumigation. Appl. Sci. 2017, 7, 77.

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