ArticleScientific reports2025
The biosensor using the target urine volatile organic compounds for detecting diabetic kidney disease.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Pulmonary hypertension in dialysis patients: clinical insights from tricuspid regurgitation velocity (TRV)-based echocardiographic criteria.Renal failure · 2026Article
- Prevalence and risk factors of atrial fibrillation in type 2 diabetes mellitus: a hospital-based cross-sectional study.BMC cardiovascular disorders · 2026Article
- Nanostructured electrode materials and flexible-substrate engineering for wearable multi-analyte biosensors in diabetes monitoring and personalized care: a comprehensive review.Journal of materials science. Materials in medicine · 2026Review
- Artificial intelligence-based diagnosis of diabetic kidney disease using urinary VOC biosensor data.BMC nephrology · 2025Article
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Authors and funding
5 authors.
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Abstract
Volatile organic compounds (VOCs) are metabolic byproducts reflecting pathophysiologic processes and have been widely utilized as non-invasive biomarkers for disease differentiation. While VOCs have been extensively studied in oncology, their potential for diagnosing other prevalent public health conditions remains underexplored. This study serves as a proof-of-concept investigation, applying VOC-based detection to diabetic kidney disease (DKD), a leading cause of chronic kidney disease, to distinguish it from other nephrotic syndromes (NS). Utilizing metal oxide semiconductors, we analyzed urinary VOC profiles in 135 participants with biopsy-confirmed diagnoses. All gas sensors in the sensor chamber were of the n-type. Our results demonstrated that hydrogen and ethanol VOCs, measured at a minimum electrical resistance threshold of 4500 mV, effectively distinguished DKD from NS and other control groups. The mean differences in electrical resistance among DKD versus normal, DM without DKD, and NS were 868.3, 145.5, and 881.2 ohms, respectively (p < 0.05). Receiver operating characteristic (ROC) analysis yielded AUC values of 1.0, 0.64, and 0.99, respectively (p < 0.05), underscoring the method's diagnostic potential. VOCs primarily composed of hydrogen and ethanol in DKD patients exhibited distinct electron-release properties when interacting with metal oxide semiconductors compared to healthy individuals and NS patients. These findings suggest that urine-based VOC analysis has potential as a non-invasive alternative for distinguishing DKD from other glomerular diseases. This study highlights the feasibility of extending VOC-based biosensor technology beyond oncology, offering a novel diagnostic framework for broader clinical applications in public health and metabolic disease monitoring.
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