Li Zi-Da, Chen Liang, Meng Ling-Jing, Liu Jun-Xian, Wang Gui-Wen
College of Physics Sciences and Technology, Guangxi Normal University, Guilin 541004, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Apr;31(4):1010-4.
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.
为筛选产油微生物，人们开展了大量研究。在此，利用拉曼光谱和激光镊子从混合酵母细胞中筛选产油酵母。进行了背景扣除、17点Savitzky-Golay平滑滤波、多项式拟合基线校正和向量归一化等预处理，并结合主成分分析提取酵母细胞拉曼光谱中细胞内物质的主要特征信息。基于产油酵母和非产油酵母的不同组成，建立了分选模型。通过该模型参照其拉曼光谱对光阱中的测试酵母细胞进行实时区分。将被判定为产油酵母的细胞通过光学操作进行收集。对分选得到的产油酵母细胞进行微生物培养和苏丹黑B试验验证。结果表明，拉曼光谱与光学操作相结合是一种分选产油酵母及其他经济微生物的有效技术。
