为了更好地推动苎麻产业发展、更好地利用好苎麻副产物麻骨,快速、高效、准确的获得麻骨化学成分越发重要.试验利用近红外光谱技术分析苎麻麻骨化学成分,以化学测定值为对照,采用定量偏最小二乘分析法,建立苎麻麻骨化学成分含量模型.结果表明,建立的苎麻麻骨化学成分预测模型各成分相关系数较高,果胶、半纤维素、木质素和纤维素相关系数分别达到了0.9937、0.9772、0.9850和0.9916,分辨度在6.63~12.71之间.苎麻麻骨化学成分含量模型对果胶、半纤维素、木质素及纤维素含量的预测绝对误差分别在-0.25%~0.015%、-0.845%~0.155%、-4.735%~2.895%和-2.835%~4.08%之间,预测值与化学测定值误差在可接受范围内,故该模型可初步用于苎麻麻骨化学成分含量的测定.%In order to promote the development of ramie industry,it is more and more important to obtain the chemical components of ramie quickly and efficiently.The prediction model of chemical com-position content of ramie pectin and hemicellulose was established by PLS according to the result of chem-ical analysis and near infrared spectrums.The results show that:The correlation coefficient of the compo-nents of the chemical composition of ramie bone was higher,and the correlation coefficient of pectin, hemicellulose,lignin and cellulose reached 0.9937,0.9772,0.9850 and 0.9916 respectively,and the resolution was between 6.63 and 12.71.The absolute error of the pectin content predicted by the model for chemical composition content of ramie bone was in -0.845% ~0.155%,the absolute error of the hemicellulose content in -0.25% ~0.015%,the absolute error of the lignin content in -4.735% ~2.895%,the absolute error of cellulose content in -2.835% ~4.08%,and the error between the pre-dicted value and the measured value was in the acceptable error range.Therefore,this prediction model can be used in the determination of ramie chemical composition.
展开▼
