Qin Zhao-Jun, Tao Zhan-Hua, Liu Jun-Xian, Wang Gui-Wen
College of Physics Sciences & Technology, Guangxi Normal University, Guilin 541004, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Feb;33(2):383-6.
The baseline drifts of Raman spectra occur in many types of instrumental measurements. It is an important part and a routine step to correct the baseline drift for the data preprocessing. In the present work, the limitations of the baseline correction method based on polynomial fitting were highlighted and a modified polynomial fitting method, i. e. piecewise linear fitting method, was proposed. Combined with the computer, this method could eliminate the baseline automatically. A series of Raman spectra of single polystyrene bead, red blood cell or yeast cell acquired by laser tweezers Raman spectroscopy were preprocessed by this method and its efficiency was verified. The results demonstrated that piecewise linear fitting can correct the baseline shifts effectively and provides more accurate information for further data analysis. It is a feasible method for correction of Raman spectrum.
拉曼光谱的基线漂移在许多类型的仪器测量中都会出现。在数据预处理中，校正基线漂移是重要的一部分且是常规步骤。在本工作中，突出了基于多项式拟合的基线校正方法的局限性，并提出了一种改进的多项式拟合方法，即分段线性拟合方法。结合计算机，该方法可以自动消除基线。通过该方法对激光镊子拉曼光谱采集的一系列单聚苯乙烯珠、红细胞或酵母细胞的拉曼光谱进行了预处理，并验证了其效率。结果表明，分段线性拟合可以有效地校正基线漂移，并为进一步的数据分析提供更准确的信息。它是一种校正拉曼光谱的可行方法。
