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Increasing the Accuracy of Quantitative Chromatographic Analysis Using Neural Networks

  • Physicochemical Measurements
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Measurement Techniques Aims and scope

We propose a method for increasing the accuracy of chromatographic analysis by resolving overlapping chromatogram peaks using neural networks together with a regularization method for resolving incorrectly posed problems. We present examples of multifold reduction in error analysis.

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Authors and Affiliations

  1. St. Petersburg State Polytechnic University, St. Petersburg, Russia

    T. Z. Khaburzaniya

  2. Mendeleev All-Russia Research Institute of Metrology (VNIIM), St. Petersburg, Russia

    A. V. Meshkov

Authors
  1. T. Z. Khaburzaniya
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  2. A. V. Meshkov
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Corresponding author

Correspondence to T. Z. Khaburzaniya.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 4, pp. 51–55, April, 2014

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Khaburzaniya, T.Z., Meshkov, A.V. Increasing the Accuracy of Quantitative Chromatographic Analysis Using Neural Networks. Meas Tech 57, 446–452 (2014). https://doi.org/10.1007/s11018-014-0475-3

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  • DOI: https://doi.org/10.1007/s11018-014-0475-3

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