Citation: ZHANG Jin, PENG Qianrong, XU Longquan, YANG Min, WU Aijing, YE Shizhu. Application of three-way data analysis (second-order tensor decomposition) algorithms in analysis of liquid chromatography[J]. Chinese Journal of Chromatography, ;2014, 32(11): 1165-1171. doi: 10.3724/SP.J.1123.2014.07036 shu

Application of three-way data analysis (second-order tensor decomposition) algorithms in analysis of liquid chromatography

  • Corresponding author: PENG Qianrong,  YANG Min, 
  • Received Date: 22 July 2014
    Available Online: 28 August 2014

    Fund Project: 贵州省科技厅工业攻关项目(黔科合GY字[2008]3036) (黔科合GY字[2008]3036)贵州中烟科技项目(黔烟工技[2011]35). (黔烟工技[2011]35)

  • Using dropline separation, tangent skimming, and triangulation to estimate the area of an overlapping chromatographic peak might contribute to a large deviation. It is easy, however, to eliminate these errors caused by geometric segmentation using three-way data analysis (second-order tensor decomposition) algorithms. This method of chromatographic analysis has many advantages: automation, anti-interference, high accuracy in the resolution of overlapping chromatographic peaks. It even makes the final goal of analytical chemistry achievable without the aid of complicated separation procedures. The core of this method is the process of utilizing useful information and building models through chemometric algorithms. Three-way chromatographic data set can be divided into trilinear dataset and nontrilinear dataset, correspondingly, three-way data analysis (second-order tensor decomposition) algorithms can be divided into trilinear algorithms and nontrilinear algorithms. In this paper, three-way calibration used in liquid chromatography for complex chemical systems in the last decade is reviewed, and focused on sample pretreatment, auxiliary algorithms, the combination and comparison of correction algorithms.
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