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An Advanced Chemometric Model Applied to Ratiometric Surface-Enhanced Raman Scattering for Monitoring Blood Glucose
Abstract
An advanced chemometric model based on ratiometric surface-enhanced Raman scattering (SERS) was developed for the quantification of glucose in serum samples. In the absence of glucose, it was mainly the SERS signal of silver nanoparticles (AgNPs)-o-phenylenediamine (OPD). When glucose was added, glucose oxidase catalyzed glucose to produce hydrogen peroxide (H2O2), which oxidized OPD to produce 2,3-diaminophenazine (DAP) in the presence of AgNPs. The generated DAP exhibited a new strong SERS signal and changed the Raman peak ratio between DAP and OPD. Without using any internal standard, the advanced chemometric model mitigated the fluctuations in SERS intensity and achieved accurate concentration predictions for glucose in serum samples with recoveries in the ranges of 92.8–104.8%. The accuracy of the quantitative results obtained using the proposed method is comparable with that of the reference method – glucometer. The proposed sensor showed high sensitivity and selectivity in detecting glucose with a limit of detection (LOD) of 0.28 μM. Additionally, the presented SERS sensor demonstrated great promise in determining H2O2-related metabolites in real serum samples.
Supporting agencies: The authors acknowledge the financial support of the Hunan Provincial Education Department Scientific Research Outstanding Youth Project (No. 22B0579), the National Natural Science Foundation of China (No. 22204049), the Natural Science Foundation of Hunan Province (Nos. 2020JJ5124 and 2022JJ40042) and the Natural Science Foundation of Changsha (No. kq2202143).
About the Authors
Y. Tang
College of Life Sciences and Chemistry, Hunan University of Technology; College of Chemistry and Chemical Engineering, Hunan University
China
China
Hunan Key Lab of Biomedical Materials and Devices; State Key Laboratory of Chemo/Biosensing and Chemometrics
Zhuzhou; Changsha
S.-W. Zhang
College of Life Sciences and Chemistry, Hunan University of Technology
China
China
Hunan Key Lab of Biomedical Materials and Devices
Zhuzhou
Q. Wang
College of Life Sciences and Chemistry, Hunan University of Technology
China
China
Hunan Key Lab of Biomedical Materials and Devices
Zhuzhou
J.-J. Han
College of Life Sciences and Chemistry, Hunan University of Technology
China
China
Hunan Key Lab of Biomedical Materials and Devices
Zhuzhou
L. Chao
College of Life Sciences and Chemistry, Hunan University of Technology
China
China
Hunan Key Lab of Biomedical Materials and Devices
Zhuzhou
L.-B. Nie
College of Life Sciences and Chemistry, Hunan University of Technology
China
China
Hunan Key Lab of Biomedical Materials and Devices
Zhuzhou
Y. Chen
College of Life Sciences and Chemistry, Hunan University of Technology; College of Chemistry and Chemical Engineering, Hunan University
China
China
Hunan Key Lab of Biomedical Materials and Devices; State Key Laboratory of Chemo/Biosensing and Chemometrics
Zhuzhou; Changsha
T. Wang
College of Chemistry and Chemical Engineering, Hunan University
China
China
State Key Laboratory of Chemo/Biosensing and Chemometrics
Changsha
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Review
For citations:
Tang Y., Zhang S., Wang Q., Han J., Chao L., Nie L., Chen Y., Wang T. An Advanced Chemometric Model Applied to Ratiometric Surface-Enhanced Raman Scattering for Monitoring Blood Glucose. Zhurnal Prikladnoii Spektroskopii. 2024;91(4):609.
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