Prediction of maize stover components with near infrared reflectance spectroscopy
文献类型：期刊论文
| 作者 | Liu Li-ying; Chen Hong-zhang
|
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2007-02-01 |
| 卷号 | 27期号:2页码:275-278 |
| 关键词 | biomass components of maize stover near infrared reflectance spectrum(NIRS) models |
| ISSN号 | 1000-0593 |
| 其他题名 | Spectrosc. Spectr. Anal. |
| 中文摘要 | The components concentrations in maize stover were analyzed with 67 samples selected from 380 samples of different provinces and varieties in order to serve the biomass utilizatior of our country. The technique of near infrared reflectance spectroscopy (NIRS) and partial least square (PLS) regression were used to establish the models. The results showed that the calibration models developed by the spectral data pretreatment of the first derivative+Karl Norris derivative filter were the best for ash, hemicellulose, cellulose, Klason lignin, acid unsolvable ash, and water in the spectral region of 4 100-7 500 cm(-1). The root mean square error of cross validation (RMSECV) for the above six components was 0.991, 1.27, 1.44, 0.599, 0.090 3 and 0.547, respectively; the root mean square error of prediction (RMSEP) was 0.774 6%, 1.807 2%, 0.256 9%, 2.581 9%, 0.515 8% and 1.032 5 %, respectively. The models can be used to measure various samples in biomass transformation industry. |
| 英文摘要 | The components concentrations in maize stover were analyzed with 67 samples selected from 380 samples of different provinces and varieties in order to serve the biomass utilizatior of our country. The technique of near infrared reflectance spectroscopy (NIRS) and partial least square (PLS) regression were used to establish the models. The results showed that the calibration models developed by the spectral data pretreatment of the first derivative+Karl Norris derivative filter were the best for ash, hemicellulose, cellulose, Klason lignin, acid unsolvable ash, and water in the spectral region of 4 100-7 500 cm(-1). The root mean square error of cross validation (RMSECV) for the above six components was 0.991, 1.27, 1.44, 0.599, 0.090 3 and 0.547, respectively; the root mean square error of prediction (RMSEP) was 0.774 6%, 1.807 2%, 0.256 9%, 2.581 9%, 0.515 8% and 1.032 5 %, respectively. The models can be used to measure various samples in biomass transformation industry. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Spectroscopy |
| 研究领域[WOS] | Spectroscopy |
| 关键词[WOS] | HYBRIDS |
| 收录类别 | SCI |
| 原文出处 | |
| 语种 | 英语 |
| WOS记录号 | WOS:000244998400018 |
| 公开日期 | 2013-10-15 |
| 版本 | 出版稿 |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/3393]  |
| 专题 | 过程工程研究所_研究所（批量导入） |
| 作者单位 | Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Li-ying,Chen Hong-zhang. Prediction of maize stover components with near infrared reflectance spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2007,27(2):275-278. |
| APA | Liu Li-ying,&Chen Hong-zhang.(2007).Prediction of maize stover components with near infrared reflectance spectroscopy.SPECTROSCOPY AND SPECTRAL ANALYSIS,27(2),275-278. |
| MLA | Liu Li-ying,et al."Prediction of maize stover components with near infrared reflectance spectroscopy".SPECTROSCOPY AND SPECTRAL ANALYSIS 27.2(2007):275-278. |
入库方式： OAI收割
来源：过程工程研究所
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