Mid-Infrared Spectroscopy Analysis Combined with Support Vector Machine for Rapid Discrimination of Botanical Origin of Honey

Tianyang Xu; Juan Yang; Xiaorong Sun; Cuiling Liu; Yi Li; Jinhui Zhou; Lanzhen Chen

doi:10.3788/LOP55.063003

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 6 >Page 063003 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 6, 063003 (2018)

Mid-Infrared Spectroscopy Analysis Combined with Support Vector Machine for Rapid Discrimination of Botanical Origin of Honey

Tianyang Xu^{1、2、3、1; 2; 3;}, Juan Yang^1、1;, Xiaorong Sun^{4、5、4; 5;}, Cuiling Liu^{4、5、4; 5;}, Yi Li^{1、2、3、1; 2; 3;}, Jinhui Zhou^{1、2、3、1; 2; 3;}, and Lanzhen Chen^{1、2、1; 2; 3*;}

Author Affiliations

¹ Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China

² Key Laboratory of Bee Products for Quality and Safety Control, Ministry of Agriculture, Beijing 100093, China

³ Laboratory of Risk Assessment for Quality and Safety of Bee Products, Ministry of Agriculture, Beijing 100093, China

⁴ School of Computer and Information Engineer, Beijing Technology and Business University, Beijing 100048, China

⁵ Beijing Key Laboratory of Large Data Technology for Food Safety, Beijing 100048, China

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DOI: 10.3788/LOP55.063003 Cite this Article Set citation alerts

Tianyang Xu, Juan Yang, Xiaorong Sun, Cuiling Liu, Yi Li, Jinhui Zhou, Lanzhen Chen. Mid-Infrared Spectroscopy Analysis Combined with Support Vector Machine for Rapid Discrimination of Botanical Origin of Honey[J]. Laser & Optoelectronics Progress, 2018, 55(6): 063003 Copy Citation Text

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