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...

Determination of cellulose and hemicellulose in corn fiber by near infrared reflectance spectroscopy

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 for the sustainable utilization of corn fiber.