Comparison of Tea Variety Discriminating Models Based on Laser Induced Breakdown Spectroscopy

Gangfu Rao; Lin Huang; Xiuwen He; Jinlong Lin; Hui Yang; Muhua Liu; Tianbing Chen; Jinyin Chen; Mingyin Yao

doi:10.3788/LOP55.023002

Laser & Optoelectronics Progress, Volume. 55, Issue 2, 023002(2018)

Comparison of Tea Variety Discriminating Models Based on Laser Induced Breakdown Spectroscopy

Gangfu Rao, Lin Huang, Xiuwen He, Jinlong Lin, Hui Yang, Muhua Liu, Tianbing Chen, Jinyin Chen, and Mingyin Yao^*

Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Key Laboratory of Optics-Electrics Application of Biomaterials of Jiangxi Province Higher Education, Nanchang, Jiangxi 330045, China

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Figures & Tables(4)

Fig. 1. Schematic of LIBS setup

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Fig. 2. LIBS spectra of Tieguanyin tea sample. (a) Original spectrum; (b) spectrum after nine-point smoothing pretreatment

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Table 1. Classification accuracy of model built by nine-point smoothing combined with principal component analysis

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Table 1. Classification accuracy of model built by nine-point smoothing combined with principal component analysis

Sample	DA				RBF				MLP
	Training		Test		Training		Test		Training		Test
	C	E	C	E	C	E	C	E	C	E	C	E
T-G-Y	35	0	12	3	26	9	9	6	34	1	15	0
N-H-G-F-T	33	2	15	0	30	5	11	4	34	1	14	1
P-E	35	0	15	0	35	0	15	0	35	0	15	0
E-M-S-M-F	35	0	12	3	24	11	10	5	33	2	13	2
D-C-G-T	32	3	12	3	25	10	10	5	32	3	13	2
X-Y-M-J	30	5	10	5	24	11	8	7	31	4	14	1
B-L-C	29	6	12	3	25	10	12	3	31	4	14	1
Accuracy /%	93.5		82.9		77.0		73.0		93.7		93.9

Table 2. Classification accuracy of model built by nine-point smoothing and first derivative combined with principal component analysis

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Table 2. Classification accuracy of model built by nine-point smoothing and first derivative combined with principal component analysis

Sample	DA				RBF				MLP
	Training		Test		Training		Test		Training		Test
	C	E	C	E	C	E	C	E	C	E	C	E
T-G-Y	35	0	15	0	33	2	12	3	35	0	15	0
N-H-G-F-T	34	1	13	2	33	2	14	1	35	0	14	1
P-E	35	0	15	0	35	0	15	0	35	0	15	0
E-M-S-M-F	35	0	15	0	26	9	9	6	34	1	15	0
D-C-G-T	35	0	15	0	31	4	12	3	35	0	15	0
X-Y-M-J	35	0	11	4	25	10	11	4	35	0	15	0
B-L-C	35	0	15	0	31	4	9	6	35	0	15	0
Accuracy /%	99.6		94.3		86.4		80.4		99.6		99.1

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Gangfu Rao, Lin Huang, Xiuwen He, Jinlong Lin, Hui Yang, Muhua Liu, Tianbing Chen, Jinyin Chen, Mingyin Yao. Comparison of Tea Variety Discriminating Models Based on Laser Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2018, 55(2): 023002

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Paper Information

Category: Spectroscopy

Received: Jul. 28, 2017

Accepted: --

Published Online: Sep. 10, 2018

The Author Email: Mingyin Yao (mingyin800@126.com)

DOI:10.3788/LOP55.023002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology