Application of attenuated total reflection- fourier transform infrared spectroscopy for rapid identification of fungi strains on grain
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摘要: 本研究利用傅里叶变换衰减全反射红外光谱技术（ATR-FTIR）结合化学计量学方法,对稻谷中7种常见有害霉菌（尖孢镰刀菌Pr、尖孢镰刀菌Po、尖孢镰刀菌M23、黄灰青霉Pe、扩展青霉3.7898、灰绿曲霉3.3975和亮白曲霉）进行了快速鉴定。结果显示,运用主成分分析法（PCA）能够有效区分七种不同类别的菌株样品。建立的线性判别分析（LDA）和偏最小二乘判别分析（PLS-DA）模型,对7种不同类别菌株的留一交互验证整体正确率分别达到87.1%和87.3%。说明运用ATR-FTIR技术对稻谷侵染霉菌的种类实现快速鉴别具有一定可行性。Abstract: Attenuated total reflection- Fourier transform infrared spectroscopy( ATR- FTIR) was used in combination with chemomoetrics in this study for rapid identification of seven strains of fungi that usually cause seriously economic damage to paddy rice( Fusarium oxysporum Pr,Fusarium oxysporum Po,Fusarium oxysporum M23,Penicillium aurantiogriseum Pe,Penicillim expansum 3.7898,Aspergillus glaucus 3.3975 and Aspergillus candidus).The results indicated that,principal component analysis( PCA) could effectively distinguish the seven fungi strains.The overall correct classification in leaves- one- out cross- validation for different kinds of strains obtained by linear discriminant analysis( LDA) and partial least- squares discriminant analysis( PLS- DA) model was 87.1% and87.3%,respectively. The results verified that the use of ATR- FTIR technology might be feasible for rapid identification of the species of fungi contamination on paddy rice.
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Keywords:
- ATR-FTIR; /
- grain; /
- fungi; /
- strains; /
- rapid identification;
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