The Effectiveness of Acetone Breath Content Using Chitosan Based Sensor in Patients Diabetes Mellitus

BACKGROUND: The high incidence of diabetes mellitus in Indonesia to encourage researchers to continue to develop detection techniques are easy, inexpensive and minimally invasive. This study is expected to answer the challenge. Detection tool used in this research is the detection devices use traditional breath acetone levels of chitosan-based sensors. Acetone breath sensor works based on the chemical interaction between the breath of patients with diabetes and acetone sensor surface, which causes a change in the electrical response. AIM: This study was cross-sectional using diabetes mellitus patients as research subjects by measuring breath acetone levels and HbA1c and KGD as a comparison. METHODS: Research conducted at the primary health care facilities network services the University Hospital of North Sumatra. A total of 58 diabetic patients who meet the inclusion and exclusion criteria were included in this study. The relationship between the measurements analysed using Pearson correlation test. RESULTS: Measurements showed that statistically there is a great relationship between breath acetone levels with or KGD HbA1c levels in the diabetic patient with each R = 0.05 and p = 0.708 for the relationship acetone breath and HbA1c and R = 0.1 and p = 0.445 for the relationship acetone breath and KGD. However, clinically there is a linear relationship between increased levels consistent acetone in the breath with increased HbA1c levels as well as levels of KGD. CONCLUSION: Examination of breath acetone levels can be considered as an indicator of diabetes detection.