Authors : Suman Chakraborty; Akash Bajaj; Hitesh Gupta; Mahendra Dashora; Rohit Bajaj; Sambit Ghosh; Rajesh Kumar Sagar; Soham Banerjee

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/yncsshs7

Scribd : https://tinyurl.com/24c9m27p

DOI : https://doi.org/10.5281/zenodo.14944998

Abstract : Background: A chronic and large level global health concern, anemia disproportionately affects those living in low-resource environments. The performance of a new point-of-care (POC) hemoglobin (Hb) detection system is examined in this study using 500 patients. Rapid Hb readings was performed by this POC device, which amalgamates the smartphone technology with a biodegradable paper-strip approach.  Methods: We have compared two devices Device A (HemoQR) and Device B [Hematology Analyzer- Fully Automated-3 Parts (ERBA H 360)] in multiple primary healthcare center’s (PHCs) in a district in Maharashtra, India using 500 samples from patients of different age groups using fingertip pricked blood for the test to monitor Hb.  Results: As the result of this study qualifies the criteria of Anemia Mukt Bharat (AMB) program initiated by the Government of India which requires a sensitivity and specificity of more than 80% for invasive digital hemoglobinometer for the determination of Hb levels in blood. In context to our device A was able to obtain sensitivity, specificity and accuracy of around 90.19%, 97.60% and 96.15% respectively in this study using 500 live samples.  Conclusion: The study concludes that HemoQR can be an efficient, economical and smart POC Hb detection test system using a mobile based application for analyzing Hb levels in all kind of medical setup and it can also help in collecting and analyzing the data for monitoring purposes.

References :

1. Cheng, c., 2020. Small‑volume point‑of‑care analytical methods. Sci Rep, Volume 10.
2. Collaborators, G. 2. A., 2023. Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990-2021: findings from the Global Burden of Disease Study 2021. Lancet Haematol, 10(9), pp. e713-e734.
3. E. McLean, e. a., 2009. Worldwide Prevalence of Anemia. Public Health Nutrition , 12(4), pp. 444-454.
4. Ghosh S, e. a., 2024. Evaluation of HemoQR (Haemoglobin Detection Test with Mobile Based Reading Application) in a Hospital Setting Using 200 Patient Samples in Comparison to the Gold Standard Method. Haematol Int J, 8(2), p. 262.
5. Neogi, S. N. H. K. R. B. M. S. R. V. N. B. P. S. J. B. H. Z. S. a. S. R., 2016. Diagnostic accuracy of haemoglobin colour strip (HCS-HLL), a digital haemoglobinometer (TrueHb) and a non-invasive device (TouchHb) for screening patients with anaemia.. Journal of clinical pathology, 69(2), pp. 164-170..
6. Price, A. S. J. a. C. P., 2014. Existing and Emerging Technologies for Point-of-Care Testing. Clin Biochem Rev., 3(35), pp. 155-167.
7. RJ, S., 2003. Iron Deficiency: Global Prevalence and Consequences. Food and Nutrition Bulletin, Volume 24, pp. S99-S103.
8. Rohit Bajaj, e. a., 2025. Evaluation of HemoQR (Haemoglobin Detection test with mobile based software) in multiple primary healthcare centres using 400 patient samples in comparison to gold standard methods and other point of care (POC) devices.. International Journal of Scientific Research in Engineering and Management (IJSREM), 9(2).
9. Sambit Ghosh., e. a., 2024. Evaluation of HemoQR (Haemoglobin Detection test with Mobile based Software) in Hospital Camp Setup using 280 Patient Samples in Comparison to Gold Standard MethodsPatient Samples in Comparison to Gold Standard Methods. Medicon Medical Sciences, 7(5), pp. 26-34.
10. Suman Chakraborty, S. C. A. B. H. G. M. D. S. G. S. V. C. R. K. S. S. B., 2025. Rapid reagent-free anaemia screening using plant-derived “HemoQR” paper-strips and smartphone: A study on 200 human subjects. Industrial Crops and Products, Volume 223.
11. Vashist, S. K., 2017. Point-of-Care Diagnostics: Recent Advances and Trends. Biosensors, 7(4), p. 62.