International Journal of Scientific Engineering and Research (IJSER)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed | ISSN: 2347-3878


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India | Biochemistry | Volume 13 Issue 5, May 2025 | Pages: 29 - 41


Evaluation of Portable Clinical Chemistry Analyzer- 'Mobilab' for Comprehensive Assessment of Liver, Heart, and Kidney Functions Using Human Blood / Serum Samples

Sahil Jagnani, Anuj Kumar Baruah, Ankit Chowdhury

Abstract: Non-communicable diseases (NCDs) are rising in developing nations, emphasizing the urgent need for affordable and accessible diagnostic tools. This study focuses on validating Mobilab, an IoT (Internet of Things) enabled, battery operated, point-of-care testing (POCT) device created by Indian Institute of Technology (IIT) Guwahati?s Centre for Nanotechnology in collaboration with M/S Primary Healthtech Private Limited., which intends to meet the diagnostic needs of the resource limited population. To evaluate its efficacy, Mobilab was compared with the recognized and established auto-analyzer Selectra ProS by ELITech Group, present at IIT Guwahati Hospital (IITGH), Guwahati. The clinical trial involved the assessment of seven biochemical parameters-Creatinine (CRE), Uric Acid (UA), Cholesterol (CHOL), Triglycerides (TGL), Total Bilirubin (TBIL), Glucose (GLU), and Hemoglobin (HB) which are essential for evaluating the functions of Liver, Heart, and Kidney. Total 30-plus human blood/serum samples were tested, with comparisons made to determine Mobilab?s analytical sensitivity, linearity, precision, and overall performance. The statistical analyses were used to measure agreement between the two systems, including Passing-Bablok regression, Bland-Altman analysis, and paired t-tests. The findings revealed a high level of consistency and accuracy across all parameters, confirming Mobilab's stability and reliability. These results demonstrate Mobilab's potential to improve NCD diagnostics and expand healthcare access in resource-limited settings.

Keywords: Point-of-care testing (POCT), Diagnostic Accuracy, Passing-Bablok Regression, Bland-Altman plot, Paired t-test



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