Chemometrics can be understood as “the chemical discipline that uses mathematical, statistical of Analytical Techniques. chemometrics shares the impact of mathematical modelling with many other disciplines such as biometrics, psychometrics, and econometrics. Nevertheless, the application to problems of chemistry puts emphasis on issues not present or less important in these other sciences. The use of modem hyphenated analytical methods producing huge amounts of data with increasing complexity of structure, has become a driving force for algorithms in multimodal statistics. Over time, chemometric methods have become indispensable tools, e.g., for quality control, environmental and forensic analysis, medicine, and process control. Chemometrics, however, does not only interpret data or find optimal strategies for analytical work. It also provides a basic for theoretical treatment of analytical chemistry and establishes the field of analytical science as an independent discipline of chemistry.


  • Track 1-1 Signal Processing
  • Track 2-2 Fourier Transform
  • Track 3-3 Data Smoothing
  • Track 4-4 Signal Resolution
  • Track 5-5 Factor Analysis
  • Track 6-6 Cluster Analysis

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