红外光谱结合曲线拟合分析对两种红菇的研究

Study on Two Speices of Russula by Infrared Spectroscopy Combined with Curve-fitting Analysis

利用傅里叶变换红外光谱技术对变绿红菇和正红菇的营养成分进行定性分析.红外光谱显示两种蘑菇所含的营养成分主要是多糖、蛋白质和脂类物质.它们的光谱在特征区出现重叠,导致一些信息被掩盖,难以真实反映营养成分的含量.提出利用二阶导数光谱法、傅里叶自去卷积光谱法结合曲线拟合分析技术对重叠光谱进行剥离,揭示其中所隐藏的关键信息.1319、1151、936和887cm-1附近的特征峰拟合结果表明变绿红菇中的β-D-葡聚糖含量低于正红菇,而淀粉含量高于正红菇.研究显示,傅里叶变换红外光谱技术结合数据挖掘方法可对蘑菇中的营养物质进行快速定性分析.

Fourier transform infrared spectrometer was used to qualitative analysis the nutrients of Russula virescens and Russula vinosa.The infrared spectra showed that the main nutrients in these two mushroom species were polysaccharides,proteins and lipids.In the characteristic region of infrared spectra,the absorption bands were overlapped with each other,resulting in some spectral information were covered and difficult to obtain the contain information of nutrients.In this paper,second derivative spectroscopy,Fourier self-deconvolution spectroscopy combined with curve-fitting analysis were used to mine the hidden information of overlapping bands.The curve-fitting analysis of the peaks at around 1319,1151,936 and 887 cm-1 showed that the content ofβ-D-glucan in Russula virescens was lower than that in Russula vinosa,but the content of starch was just the opposite.The results showed that Fourier transform infrared spectroscopy combined with data mining method could qualitative analysis the nutrients in mushrooms rapidly.