Quantitative analysis of blood glucose by FT‐Raman spectroscopy and multivariate statistical analysis

Wenyi Sun, Shuai Song, Bairen Qian, Da Wen, Daying Jiang, Yongqing (Richard) Fu, Qiaoyun Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Diabetes is one of the common chronic diseases in worldwide and increasing among young children. Testing glycated hemoglobin levels as well as blood glucose levels is a method for detecting diabetes. In this article, with multivariate statistical analysis was used to monitor the blood glucose levels by the Fourier Transform Raman spectroscopy. Principal component regression with direct orthogonal signal correction is developed and applied to analyze the glucose concentration with the blood Raman spectroscopy. The root means square error of calibration is 3.0824 mg/dL (0.1712 mmol/L), the root means square error of prediction is 3.2688 mg/dL (0.1816 mmol/L), the correlation coefficients (R 2) is.9946 and ratio of performance to deviation is 6.4789 and, respectively. The results show that this method can be used as a strong potential diagnostic tool for diabetes mellitus.

Original languageEnglish
Article numbere33860
Pages (from-to)1-7
Number of pages7
JournalMicrowave and Optical Technology Letters
Issue number1
Early online date6 Aug 2023
Publication statusPublished - 1 Jan 2024

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