Raman spectroscopy-based prediction of ofloxacin concentration in solution using a novel loss function and an improved GA-CNN model.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: A Raman spectroscopy method can quickly and accurately measure the concentration of ofloxacin in solution. This method has the advantages of accuracy and rapidity over traditional detection methods. However, the manual analysis methods for the collected Raman spectral data often ignore the nonlinear characteristics of the data and cannot accurately predict the concentration of the target sample.

Authors

  • Chenyu Ma
    School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
  • Yuanbo Shi
    School of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun, 113001, China. syb2011@yeah.net.
  • Yueyang Huang
    Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
  • Gongwei Dai
    School of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun, 113001, China.