Simultaneous Detection of Glucose and Acetoacetate in Artificial Urine Samples Using 3D-Connector Microfluidic Paper Based Analytical Devices

Diabetic patients sometimes experience both hyperglycemia and hyperketonemia simultaneously. This condition requires proper management of glucose and ketone body biomarkers. The fluctuating intensity of these biomarkers necessitates regular monitoring. This study aims to develop concept non-enzymatic measurement method by integrating µPADs (microfluidic paper-based analytical devices) for detecting glucose and acetoacetate in artificial urine samples. The method uses silver nanoparticle formation for glucose detection and Schiff base reaction as well as the Rothera test for acetoacetate detection. Optimal conditions found include the glucose detection zone with volume ratio of AgNO3 500 mM : starch 3% (w/v) (1 : 1), and the acetoacetate detection zone with glycine 900 mM in phosphate buffer pH 9.4. The artificial urine sample combination consists of glucose, acetoacetate, and acetone with volume ratio of (1 : 1 : 1). The 3D-Connector for glucose uses NaOH 10 M : starch 3% (w/v) with volume ratio of (1 : 3), while for acetoacetate, sodium nitroprusside 15% (w/w) in DMF 5% (v/v). Validity for glucose measurement shows linearity (R² = 0.9664), precision (RSD = 4.56%), accuracy (88.75 – 99.62%), LOD (1.61 mM), and LOQ (5.37 mM). Conversely, acetoacetate measurement shows linearity (R² = 0.9636), precision (RSD = 1.24%), accuracy (99.44 – 99.73%), LOD (1.41 mM), and LOQ (4.69 mM).

Authors

Institutions

Publication Details

Journal
Jurnal Penelitian Pendidikan IPA
Published
2024-12-18
DOI
https://doi.org/10.29303/jppipa.v10i12.7825
Citations
1
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simultaneous Detection of Glucose and Acetoacetate in Artificial Urine Samples Using 3D-Connector Microfluidic Paper Based Analytical Devices

Hermin Sulistyarti, Ika Oktavia Wulandari, Akhmad Sabarudin, Kamila Rohadatul ‘Aisy et al.
1 citations
Jurnal Penelitian Pendidikan IPA
Biosensors and Analytical Detection
0.18
article

Simultaneous Detection of Glucose and Acetoacetate in Artificial Urine Samples Using 3D-Connector Microfluidic Paper Based Analytical Devices

Hermin Sulistyarti, Ika Oktavia Wulandari, Akhmad Sabarudin, Kamila Rohadatul ‘Aisy, Ahmad Luthfi Fahmi
article en
1 citations

Abstract

Diabetic patients sometimes experience both hyperglycemia and hyperketonemia simultaneously. This condition requires proper management of glucose and ketone body biomarkers. The fluctuating intensity of these biomarkers necessitates regular monitoring. This study aims to develop concept non-enzymatic measurement method by integrating µPADs (microfluidic paper-based analytical devices) for detecting glucose and acetoacetate in artificial urine samples. The method uses silver nanoparticle formation for glucose detection and Schiff base reaction as well as the Rothera test for acetoacetate detection. Optimal conditions found include the glucose detection zone with volume ratio of AgNO3 500 mM : starch 3% (w/v) (1 : 1), and the acetoacetate detection zone with glycine 900 mM in phosphate buffer pH 9.4. The artificial urine sample combination consists of glucose, acetoacetate, and acetone with volume ratio of (1 : 1 : 1). The 3D-Connector for glucose uses NaOH 10 M : starch 3% (w/v) with volume ratio of (1 : 3), while for acetoacetate, sodium nitroprusside 15% (w/w) in DMF 5% (v/v). Validity for glucose measurement shows linearity (R² = 0.9664), precision (RSD = 4.56%), accuracy (88.75 – 99.62%), LOD (1.61 mM), and LOQ (5.37 mM). Conversely, acetoacetate measurement shows linearity (R² = 0.9636), precision (RSD = 1.24%), accuracy (99.44 – 99.73%), LOD (1.41 mM), and LOQ (4.69 mM).

Jurnal Penelitian Pendidikan IPAVol. 10(12)
University of Brawijaya (ID)
Clean water and sanitation
Openalex Percentile: Top 50%
Biosensors and Analytical Detection
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.