Raman Spectroscopy-Based Non-Invasive Blood Glucose Detection

Diabetes is a chronic metabolic disease that is widely prevalent globally, with its incidence rate continuously increasing, posing significant challenges to patient health and public health systems. In China, the number of diabetes patients ranks first in the world, with an adult prevalence rate as high as 12.8%. The core of diabetes management is blood glucose control. However, traditional finger-prick blood testing methods are inconvenient and have low patient compliance. In recent years, non-invasive blood glucose detection technologies have become a research hotspot. Among them, optical methods, especially spectroscopy techniques, are considered to have the most application potential due to their non-invasive, convenient, and stable characteristics. Raman spectroscopy, as an important branch of spectroscopy, has advantages such as non-invasiveness and high specificity, and has been successfully applied to blood glucose detection in laboratory settings. However, its clinical application is still in the exploratory stage. Foreign research has validated its feasibility, and domestic research has also made certain progress, but overall, it is still in its infancy. This study aims to compare the consistency and accuracy of Raman spectroscopy non-invasive blood glucose detection with traditional finger-prick blood glucose detection by comparing the blood glucose values measured by the two methods at the same time point. Additionally, the study will assess the participants' satisfaction and acceptance of the two methods through questionnaires. The results of this study will provide a scientific basis for the clinical application of Raman spectroscopy technology and offer references for the promotion of non-invasive blood glucose detection technologies. This will help advance the development of non-invasive blood glucose detection technologies and improve the treatment compliance and quality of life of diabetes patients.

NCT Number	NCT07311421
Lead Sponsor	Beijing Shijitan Hospital, Capital Medical University Collaborators: Beijing Institute of Technology
Conditions	Diabetes
Enrollment	49 participants
Start Date	2026-01-01
Primary Completion	2026-06-10 (estimated)
Study Completion	2026-10-31 (estimated)
Updated on ClinicalTrials.gov	2025-12-31