Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA

doi:10.1364/AO.58.005090

	Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA
	Lju, Jinming 1,2; Li, Nan 1; Zhen, Feng 3; Xu, Yonghua 4; Li, Wenzhe 1,5; Sun, Yong 1,5
刊名	APPLIED OPTICS
	2019-06-20
卷号	58 期号:18 页码:5090-5097
ISSN号	1559-128X
DOI	10.1364/AO.58.005090
通讯作者	Sun, Yong(sunyong740731@163.com)
英文摘要	Near-infrared spectroscopy (NIRS) is an efficient method for detecting the content of carbon and nitrogen in many materials, which solves the problems of the time-consuming and high-cost traditional chemical analysis method. To quickly detect the carbon-nitrogen ratio (C/N) for the anaerobic fermentation (AF) feedstock using NIRS, a genetic simulated annealing algorithm (GSA) is presented based on a genetic algorithm combined with a simulated annealing algorithm. By combining GSA with backward interval partial least squares (BiPLS), we construct a BiPLS-GSA algorithm to optimize the characteristic wavelength variables of NIRS; this algorithm significantly reduced the number of wavelength variables involved in modeling and effectively improved the detection accuracy and efficiency of the model. The determination coefficients, root mean squared error, mean relative error (MRE) and residual predictive deviation for the validation set in the BiPLS-GSA regression model were 0.9067, 7.6676, 5.5274%, and 3.5626, respectively. Meanwhile, compared to the entire spectrum model, the MRE was decreased by 16.54% in the BiPLS-GSA-based model. The research in this paper improves the adaptability of the prediction model based on optimizing sensitive wavelength variables for C/N, which provides a new way for rapid and accurate measurement of the C/N of AF feedstock. (C) 2019 Optical Society of America
资助项目	Training Project of Heilongjiang Bayi Agricultural University[XZR2017-09] ; Natural Science Foundation of Heilongjiang Province of China[E2015023]
WOS关键词	PARTIAL LEAST-SQUARES ; FT-NIR SPECTROSCOPY ; CO-DIGESTION ; REFLECTANCE SPECTROSCOPY ; ORGANIC-CARBON ; SELECTION ; OPTIMIZATION ; PREDICTION ; CLASSIFICATION ; CALIBRATION
WOS研究方向	Optics
语种	英语
出版者	OPTICAL SOC AMER
WOS记录号	WOS:000472149200035
资助机构	Training Project of Heilongjiang Bayi Agricultural University ; Natural Science Foundation of Heilongjiang Province of China
内容类型	期刊论文
源URL	[http://ir.giec.ac.cn/handle/344007/25245]
专题	中国科学院广州能源研究所
通讯作者	Sun, Yong
作者单位	1.Northeast Agr Univ, Coll Engn, Dept Agr Biol Environm & Energy Engn, Harbin 150030, Heilongjiang, Peoples R China 2.Heilongjiang Bayi Agr Univ, Coll Elect & Informat, Daqing 163319, Peoples R China 3.Chinese Acad Sci, CAS Key Lab Renewable Energy, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China 4.Northeast Agr Univ, Sch Elect & Informat, Harbin 150030, Heilongjiang, Peoples R China 5.Heilongjiang Key Lab Technol & Equipment Utilizat, Harbin 150030, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Lju, Jinming,Li, Nan,Zhen, Feng,et al. Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA[J]. APPLIED OPTICS,2019,58(18):5090-5097.
APA	Lju, Jinming,Li, Nan,Zhen, Feng,Xu, Yonghua,Li, Wenzhe,&Sun, Yong.(2019).Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA.APPLIED OPTICS,58(18),5090-5097.
MLA	Lju, Jinming,et al."Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA".APPLIED OPTICS 58.18(2019):5090-5097.