摘要
在推进亚麻纤维的纺纱及其产业化生产过程中,快速、准确的定量分析纤维的化学成分是重要趋势。该研究利用近红外光谱技术分析亚麻纤维化学成分,以化学分析法测定值为对照,采用偏最小二乘法(PLS)建立亚麻纤维化学成分的近红外模型,从而实现了其化学成分的高效、快速定量分析。结果表明,建立的亚麻纤维纤维素、半纤维素、木质素和果胶近红外模型的校正相关系数(RC)与验证相关系数(RCV)均在0.9以上,校正均方根误差(RMSEC)小于预测均方根误差(RMSEP)且均小于1。外部验证和双尾t检验表明模型预测结果较为准确,预测值与化学分析法得到的实测值无显著性差异,故该模型可用于相关化学成分含量的快速预测。
In this work,a near infrared(NIR) spectroscopy was developed for detection of the chemical composition of flax fiber,as it had become a development trend to rapidly and accurately analyze the chemical composition of flax fiber used for spinning in the process of promoting the preparation and industrial production.Compared with the determination value by chemical analysis,a NIR model for the chemical composition was set up by partial least square method,which could be used in rapid and efficient quantitative analysis of the composition.Results showed that the correction correlation coefficient(RC) and the verification correlation coefficient(RCV) of the established NIR model for cellulose,hemicellulose,lignin and pectin were all above 0.9.The corrected root mean square error(RMSEC) was less than the predicted root mean square error(RESEP),and they both were smaller than 1.External verification and double-tailed t-test showed that the model prediction results were relatively accurate,and there was no significant difference between the predicted values and the measured values obtained by chemical analysis.Therefore,the NIR based model could be used for rapid prediction of the chemical composition of flax fiber.
作者
管丽媛
王钟
祁宁
李辛
王国和
GUAN Li-yuan;WANG Zhong;QI Ning;LI Xin;WANG Guo-he(College of Textile and Clothing Engineering,Soochow University,Suzhou 215006,China;National Engineering Laboratory for Modern Silk,Suzhou 215123,China)
出处
《分析测试学报》
CAS
CSCD
北大核心
2020年第6期795-799,共5页
Journal of Instrumental Analysis
基金
国家自然科学基金青年基金(51503137)
2018年江苏省双创博士项目(企业博士后)
江苏省博士后科研资助计划(1701050B)
盐城工学院省级科研平台开放研究基金(KF11580219)。
关键词
亚麻纤维
化学成分
近红外光谱
定量分析
flax fiber
chemical composition
near infrared spectroscopy
quantitative analysis