摘要
为了探求建立准确快速分选油脂酵母的方法,尝试利用拉曼光谱与激光镊子技术,从细胞群体中分选出油脂酵母。收集各酵母细胞的拉曼光谱,经去背景、17点S-G平滑滤波、多项式拟合基线校正和矢量归一化等数据预处理,结合主成分分析,从酵母细胞的拉曼光谱中提取胞内物质的主要特征信息,根据物质构成的差异来区分油脂酵母与非油脂酵母,进而建立分选模型。激光镊子俘获单个酵母细胞并收集其拉曼光谱,实时判别细胞的归属,并根据判别结果收集细胞。将收集的酵母细胞经菌落培养和苏丹黑B进行染色验证,结果显示,分选出的细胞均为油脂酵母细胞。这一方法在实现分选油脂酵母的同时,也为利用激光镊子拉曼光谱分选其他单细胞提供了借鉴方法。
Extensive research has been carried out in an effort to screen the oleaginous microorganisms.Here,Raman spectroscopy and laser tweezers were used to sort oleaginous yeast from mixed yeast cells.The preprocessing of subtracted background,17 points S-G smoothing filter,polynomial fitting baseline correction and vector normalization were performed and the main features information of intracellular substances from the Raman spectroscopy of yeast cells was extracted by combining principal component analysis.Based on the distinguished composition of oleaginous yeast and non-oleaginous different yeast,a sorting model was established.The test yeast cell in optical trapping was distinguished real-time by the model referring to its Raman spectra.The cells distinguished as oleaginous yeast were collected by means of optical manipulation.The sorted oleaginous yeast cells were verified by microbial culture and Sudan black B test.The result illustrates that Raman spectroscopy combined with optical manipulation is an effective technique for sorting oleaginous yeast and other economic microorganisms.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2011年第4期1010-1014,共5页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(30760010)
广西自然科学基金项目(0832022Z
0991079)资助
关键词
拉曼光谱
油脂酵母
分选模型
主成分分析
Raman spectroscopy
Oleaginous yeast
Sorting
Principal component analysis
