2018/04/08 by Afarin Aghassizadeh, Mohammad Reza Nematollahi, Aghassizadeh, Afarin +5
Biochemistry, Genetics and Molecular Biology · Chemistry · Environmental Science · #FOS: Biological sciences #Quantitative Methods (q-bio.QM) #Spectroscopy Techniques in Biomedical and Chemical Research #Spectroscopy and Chemometric Analyses #Tissues and Organs (q-bio.TO) #Water Quality Monitoring and Analysis
paper · pdf · doi:10.48550/arxiv.1804.03135
openalex publication_date 2018/04/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
An algorithm based on PLS regression has been developed and optimized for measuring blood glucose level using the infra-red transmission spectrum of blood samples. A set of blood samples were tagged with their glucose concentration using an accurate invasive glucometer and analyzed using a standard FTIR spectrometer. Using the developed algorithm, the results of the FTIR spectroscopy of the samples were analyzed to find the glucose concentration in the samples. The obtained glucose concentration by the algorithm were in good agreement with the results obtained by the standard glucometer, and the mean estimation error was 7 mg/dL. This error is in the range of available commercial invasive meters.