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All Journal Science and Technology Indonesia Indonesian Journal of Chemistry JKPK (Jurnal Kimia dan Pendidikan Kimia)
Fahmi, Ahmad Luthfi
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Environmental Science Materials Science & Nanotechnology Physics

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Non-enzymatic Determination of Glucose in Artificial Urine Using 3D-µPADs through Silver Nanoparticles Formation Fahmi, Ahmad Luthfi; 'Aisy, Kamila Rohadatul; Wulandari, Ika Oktavia; Sulistyarti, Hermin; Sabarudin, Akhmad
Indonesian Journal of Chemistry Vol 24, No 5 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijc.95588

Abstract

Patients with diabetes often experience blood glucose fluctuations, making monitoring crucial. Traditional blood sampling methods pose risks of infection and pain. An alternative non-invasive approach using urine tests has been explored. Recent studies highlight microfluidic paper-based analytical devices (µPADs) as convenient, simple, and easily fabricated tools for non-invasive glucose measurement. This study aims to develop a concept of measuring glucose in artificial urine using 3D-µPADs in a non-enzymatic manner by utilizing glucose as a reducing agent for silver nanoparticle (AgNPs) formation. Embedding three-dimensional connectors in µPADs links the sample and detection zones to limit reagent mixing and improve glucose detection resolution. The optimal conditions were NaOH 10 M, starch 1%, and AgNO3 30 mM, with sample and detection zone volumes of 10 and 9 µL, respectively. The fifth reaction sequence involved AgNO3 in the detection zone and a solution of glucose, NaOH, and starch in the sample zone at 1:1:1 volume ratio. The reagent drying time was 15 min, with immobilization once and reaction time of 9 min. The method showed excellent linearity (R2 = 0.9905), precision (%RSD = 4.27%), accuracy (77.32–92.58%), and limit of detection (11.11 mg/dL).
Non-Enzymatic Detection of Glucose and Ketones in Urine using Paper-Based Analytical Devices 'Aisy, Kamila Rohadatul; Fahmi, Ahmad Luthfi; Sulistyarti, Hermin; Wulandari, Ika Oktavia; Sabarudin, Akhmad
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 9, No 2 (2024): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v9i2.87294

Abstract

Diabetes, driven by unbalanced diets and unhealthy lifestyles, is highly prevalent. In Indonesia, its prevalence is projected to reach 28.6 million by 2045. Microfluidic paper-based analytical devices (μPADs) are paper-based analytical tools that use hydrophilic paper for measurement and hydrophobic barriers to control fluid flow. This research aims to develop a non-enzymatic method for detecting glucose and ketones in artificial urine using S2Z-μPADs. The fabrication of S2Z-μPADs involves printing the design on Whatman No. 1 paper using wax printing and applying silver nanoparticles for glucose detection and the Schiff base reaction for ketone detection. The results show that the optimum condition for glucose detection is achieved with an AgNO3 concentration of 500 mM. A NaOH concentration of 10 M. Acetoacetate detection is optimized with a glycine concentration of 1 M, sodium nitroprusside concentration of 15%, NaOH concentration of 1 M, a drying time of 8 minutes, and a reaction time of 10 minutes. Validation results demonstrate good linearity for glucose (R² = 0.9821) and ketones (R² = 0.995). High precision was achieved with relative standard deviation (RSD) values of 3.792% for glucose and 1.482% for ketones. The obtained limits of detection (LOD) and limits of quantification (LOQ) indicate that the developed S2Z-μPADs can differentiate between each category of diabetes. The accuracy of glucose and ketone detection ranges from 87.463% to 97.374%. The high accuracy of the μPADs highlights their potential for reliable diabetes management and effective disease monitoring.
Nanoparticle-Enhanced 3D-Connector Microfluidic Paper-Based Analytical Device (3D-µPADs) for Sensitive and Cost-Effective Detection of Albumin-Creatinine Ratio in Urine Sample Sabarudin, Akhmad; Fiddaroini, Saidun; Fahmi, Ahmad Luthfi; Roja’i, Abdul Munir; Salsabila, Isadora Evani; Aulanni’am; Srihardyastutie, Arie; Susanti, Hani; Samsu, Nur
Science and Technology Indonesia Vol. 10 No. 2 (2025): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.2.504-518

Abstract

Chronic kidney disease (CKD) is a global health challenge affecting over 800 million people worldwide. Early detection is crucial to prevent progression to end-stage renal disease (ESRD), where life-saving interventions like dialysis or transplantation are necessary. Among the markers for early kidney damage, the Albumin Creatinine Ratio (ACR) in urine is one of the most reliable. Conventional methods of ACR detection, such as LC/MS-MS and ELISA, are highly accurate but require expensive equipment and skilled personnel, limiting their accessibility, especially in resource-limited settings. To address this, we developed a 3D-connector microfluidic paperbased analytical device (3D-µPADs) enhanced with gold nanoparticles (AuNPs) for sensitive and low-cost ACR detection. The integration of AuNPs amplifies colorimetric signals, enhancing the visual distinction in albumin detection. Our 3D-µPADs werefabricated using chromatographic paper Whatman No. 1 with hydrophobic barriers created by solid wax printing, followed by reagent immobilization for albumin and creatinine detection. The colorimetric and distance responses, based on reactions with Bromocresol Green (BCG) and Chrome Azurol S-Palladium (CAS-Pd2+), were analyzed using ImageJ software to quantify albumin and creatinine levels. The 3D-µPADs exhibited optimal sensitivity and accuracy, with linear detection ranges for albumin and creatinine of 30–400 mg/g. Validation with human urine samples demonstrated an accuracy of 93.04%, suggesting that 3D-µPADs offer a promising alternative for early nephropathy detection. Our findings provide a cost-effective, accessible tool for CKD screening, potentially transforming diagnostics in low-resource environments.
Co-Authors 'Aisy, Kamila Rohadatul Akhmad Sabarudin Arie Srihardyastutie Aulanni’am Fiddaroini, Saidun Hani Susanti, Hani Hermin Sulistyarti Ika Oktavia Wulandari Nur Samsu Roja’i, Abdul Munir Salsabila, Isadora Evani ‘Aisy, Kamila Rohadatul