Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA
文献类型：期刊论文
| 作者 | Lju, Jinming1,2; Li, Nan1; Zhen, Feng3 ; Xu, Yonghua4; Li, Wenzhe1,5; Sun, Yong1,5
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| 刊名 | APPLIED OPTICS
 |
| 出版日期 | 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 |
| WOS关键词 | PARTIAL LEAST-SQUARES ; FT-NIR SPECTROSCOPY ; CO-DIGESTION ; REFLECTANCE SPECTROSCOPY ; ORGANIC-CARBON ; SELECTION ; OPTIMIZATION ; PREDICTION ; CLASSIFICATION ; CALIBRATION |
| 资助项目 | Training Project of Heilongjiang Bayi Agricultural University[XZR2017-09] ; Natural Science Foundation of Heilongjiang Province of China[E2015023] |
| WOS研究方向 | Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:000472149200035 |
| 出版者 | OPTICAL SOC AMER |
| 资助机构 | Training Project of Heilongjiang Bayi Agricultural University ; Natural Science Foundation of Heilongjiang Province of China |
| 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. |
入库方式： OAI收割
来源：广州能源研究所
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