摘要
采集不同生育期、不同品种和不同干燥方式(烘干、阴干、晒干)的苜蓿干草样品60份,研究了利用近红外反射光谱法分析苜蓿干草中纤维素、半纤维素和木质素含量的可行性。实验结果显示,纤维素的交互验证相关系数(RCV)、外部验证决定系数(r2)以及验证集样品标准差(SD)与预测残差均方根(RMSEP)的比值(RPD)分别为0.97,0.97,4.44,木质素为0.94,0.94,4.08,表明利用NIRS技术可以准确分析苜蓿干草中纤维素和木质素的含量。半纤维素的RCV,r2,RPD分别为0.29,0.12,1.09,说明该模型不能进行半纤维素的实际预测。利用近红外反射光谱法准确测定纤维素和木质素含量的结果,对苜蓿生产加工中的质量评价,以及苜蓿育种等研究中纤维品质的快速分析都具有重要意义。
Sixty alfalfa samples, with different growth stage, cultivars, and preparing method （drying by oven, shade and sun）, were selected to study the potential of determination of cellulose, hemicellulose and lignin content in the present research. The result showed that the correlation coefficient of cross-validation （Rcv）, determination coefficient of external validation（rz） and the ratio of standard deviation to root mean square error of prediction（RPD） of cellulose and lignin were 0. 97, 0. 97 and 4.44, and 0. 94, 0. 94 and 4. 08, respectively. This indicated the feasibility of determining cellulose and lignin content of alfalfa using near infrared reflectance spectroscopy. Hemicellulose was not predicted accurately by NIRS in this study, due to the lowest accuracy （Rcv=0. 39, r2=0. 29, RPD=1.09）. The exact determination of cellulose and lignin using near infrared reflectance spectroscopy will be useful to quality control in alfalfa production and quickly analyzing the fiber composition of alfalfa samples in breeding research.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2008年第5期1045-1048,共4页
Spectroscopy and Spectral Analysis
基金
国家“948”项目“优质草产品生产加工技术”
北京市教委共建项目(XK100190552,JD100190531)资助
