利用近红外光谱测定玉米非淀粉组分中纤维素及半纤维素含量
玉米非淀粉组分是可再生的生物质资源,为实现玉米皮渣中纤维素及半纤维含量的快速检测,该研究以偏最小二乘法(PLS)建立数学模型,探讨一阶导数及二阶导数平滑等预处理对建模的影响,建立玉米皮渣中纤维素及半纤维素近红外分析模型。研究结果表明,纤维素模型的定标集和验证集相关系数为0.9806和0.9799,定标集标准偏差(SEE)与验证集标准偏差(SEP)分别为0.296323和0.307204;半纤维素模型的定标集和验证集相关系数分别为0.9732和0.9005,SEE与SEP分别为0.773057和0.798132。近红外光谱技术可快速、准确分析玉米皮渣纤维素及半纤维素的含量,可为玉米非淀粉组分高附...
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Published in | 农业工程学报 Vol. 27; no. 7; pp. 349 - 352 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
长春工业大学化学与生命科学学院有机化学专业,长春,130012%中国科学院长春应用化学研究所高分子工程室,长春,130022
2011
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Subjects | |
Online Access | Get full text |
ISSN | 1002-6819 |
DOI | 10.3969/j.issn.1002-6819.2011.07.061 |
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Abstract | 玉米非淀粉组分是可再生的生物质资源,为实现玉米皮渣中纤维素及半纤维含量的快速检测,该研究以偏最小二乘法(PLS)建立数学模型,探讨一阶导数及二阶导数平滑等预处理对建模的影响,建立玉米皮渣中纤维素及半纤维素近红外分析模型。研究结果表明,纤维素模型的定标集和验证集相关系数为0.9806和0.9799,定标集标准偏差(SEE)与验证集标准偏差(SEP)分别为0.296323和0.307204;半纤维素模型的定标集和验证集相关系数分别为0.9732和0.9005,SEE与SEP分别为0.773057和0.798132。近红外光谱技术可快速、准确分析玉米皮渣纤维素及半纤维素的含量,可为玉米非淀粉组分高附加值利用提供理论依据。 |
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AbstractList | 玉米非淀粉组分是可再生的生物质资源,为实现玉米皮渣中纤维素及半纤维含量的快速检测,该研究以偏最小二乘法(PLS)建立数学模型,探讨一阶导数及二阶导数平滑等预处理对建模的影响,建立玉米皮渣中纤维素及半纤维素近红外分析模型。研究结果表明,纤维素模型的定标集和验证集相关系数为0.9806和0.9799,定标集标准偏差(SEE)与验证集标准偏差(SEP)分别为0.296323和0.307204;半纤维素模型的定标集和验证集相关系数分别为0.9732和0.9005,SEE与SEP分别为0.773057和0.798132。近红外光谱技术可快速、准确分析玉米皮渣纤维素及半纤维素的含量,可为玉米非淀粉组分高附加值利用提供理论依据。 O657.33; 玉米非淀粉组分是可再生的生物质资源,为实现玉米皮渣中纤维素及半纤维含量的快速检测,该研究以偏最小二乘法(PLS)建立数学模型,探讨一阶导数及二阶导数平滑等预处理对建模的影响,建立玉米皮渣中纤维素及半纤维素近红外分析模型.研究结果表明,纤维素模型的定标集和验证集相关系数为0.9806和0.9799,定标集标准偏差(SEE)与验证集标准偏差(SEP)分别为0.296323和0.307204;半纤维素模型的定标集和验证集相关系数分别为0.9732和0.9005,SEE与SEP分别为0.773057和0.798132.近红外光谱技术可快速、准确分析玉米皮渣纤维素及半纤维素的含量,可为玉米非淀粉组分高附加值利用提供理论依据. |
Author | 潘安龙 王晶 李典格 徐昆 薛冬桦 |
AuthorAffiliation | 长春工业大学化学与生命科学学院有机化学专业,长春130012 中国科学院长春应用化学研究所高分子工程室,长春130022 |
AuthorAffiliation_xml | – name: 长春工业大学化学与生命科学学院有机化学专业,长春,130012%中国科学院长春应用化学研究所高分子工程室,长春,130022 |
Author_FL | Li Diange Pan Anlong Xu Kun Xue Donghua Wang Jing |
Author_FL_xml | – sequence: 1 fullname: Pan Anlong – sequence: 2 fullname: Wang Jing – sequence: 3 fullname: Li Diange – sequence: 4 fullname: Xu Kun – sequence: 5 fullname: Xue Donghua |
Author_xml | – sequence: 1 fullname: 潘安龙 王晶 李典格 徐昆 薛冬桦 |
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ClassificationCodes | O657.33 |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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DOI | 10.3969/j.issn.1002-6819.2011.07.061 |
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DocumentTitleAlternate | Determination of cellulose and hemicellulose in corn fiber by near infrared reflectance spectroscopy |
DocumentTitle_FL | Determination of cellulose and hemicellulose in corn fiber by near infrared reflectance spectroscopy |
EndPage | 352 |
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Keywords | 半纤维素 非淀粉组分 纤维素 玉米 近红外光谱 模型 |
Language | Chinese |
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Notes | Corn fiber is a kind of renewable biomass resources.In order to reliably analyze cellulose and hemicellulose of corn fiber,this work described the use of NIR spectroscopy to determined cellulose and hemicellulose content in corn fiber by PLS,the NIRS models for determination of cellulose and hemicellulose of corn fiber were set up by 1st derivative and second derivative smoothing data pretreatment methods.The results showed that for cellulose,the correlation coefficient(R) of calibration set(C-set) and validation set(V-set) were 0.9806 and 0.9799,standard error of calibration set(SEE) was 0.296323,standard error of cross-validation(SEP) was0.307204;and for hemicellulose,the correlation coefficient(R) of calibration set(C-set) and validation set(V-set) were0.9732 and 0.9005,standard error of calibration set(SEE) was 0.773057,standard error of cross-validation(SEP) was0.798132.The method could measure cellulose and hemicellulose in corn fiber rapidly and accurately,this method may provide a theoretical basis fo |
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PublicationTitle | 农业工程学报 |
PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
PublicationTitle_FL | Transactions of the Chinese Society of Agricultural Engineering |
PublicationYear | 2011 |
Publisher | 长春工业大学化学与生命科学学院有机化学专业,长春,130012%中国科学院长春应用化学研究所高分子工程室,长春,130022 |
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StartPage | 349 |
SubjectTerms | 半纤维素 模型 玉米 纤维素 近红外光谱 非淀粉组分 |
Title | 利用近红外光谱测定玉米非淀粉组分中纤维素及半纤维素含量 |
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