近红外光谱在虫草菌丝体腺苷和多糖含量检测中的应用.pdfVIP

3 5 Vol. 3 No. 5 2012 10 Journal of Food Safety and Quality Oct. , 2012 姜福佳* , 130033 摘 要: 目的 方法 , , Monte Carlo Partial Least Square, MCPLS Moving Window Partial Least Square, MWPLS 结果 Rc 0.9400 0.8781, Root Mean Square Error of Prediction Set, RMSEP 0.5949 1.6617, Root Mean Square Error of Calibration Set, RMSEC 0.5844 1.5572结论 , 关键词: ; ; ; The application of near-infrared spectroscopy in detection of adenosine and polysaccharide of cordyceps mycelium * JIANG Fu-Jia Changchun Vocational Institute of Technology, Changchun 130033, China ABSTRACT: Objective Near-infrared spectroscopy was used to quantify the adenosine and polysaccharide content in Paecilamyes hepiali mycelia. Methods Quantification of adenosine and polysaccharide content were achieved by the conventional method. Models were established by near-infrared spectroscopy for detec- tion of the contents of adenosine and polysaccharide. Monte carlo partial least square MCPLS and moving window partial least square MWPLS were applied to optimize the models. Results The related coefficient between actual and predictive values of calibration samples Rc were 0.9400 and 0.8781, the root mean square error of prediction set RMSEP were 0.5949 and 1.6617, and the root mean square error of calibration set RMSEC were 0.5844 and 1.5572, respectively. Conclusion The robustness, fitness and predictive capability of these models were satisfied, and it can be applied to other fermentation processes. KEY WORDS: Near-infrared spectroscopy; Paecilamyes hepiali mycelia; moving window partial least square; quantitative analysis Paecilamyes hepiali [3,4] [1,2] *通讯作者: , , , , : E-mail: ai座机电话号码@ 5 : 463 , , ; , , 1.3 测定虫草酸和腺苷含量 , [11] , [5,6] [12] 1.4 收集样本近红外光谱 , , , 座机电话号码 nm, , 12 nm, 1 nm, 3 , Near- in- 1.5 校正模型的建立及优化 frared spectroscopy, NIR Origin 7.5 , Savitzky-Golay Smoothing [7,8] Fast Fourier transform, FFT ,