Wavelength Optimisation in a Spectroscopy System for Wide-Range Uric Acid Detection

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Afiqah Yaacob, Nor Hafizah Ngajikin, Nurfatihah Che Abd Rashid, Siti Hajar Aminah Ali, Maslina Yaacob, Nurfarina. Zainal, Ian Yulianti, Noran Azizan Cholan

2025 International Journal of Integrated Engineering Vol. 17 Issue 6 Special Issue : Electrical Engineering Article Cited by 0 Quartile

Abstract

This study demonstrates a wide linearity range for uric acid sensing in the visible and near-infrared spectrum using direct spectroscopy detection, eliminating the need for enzymes or reagents. The system was experimentally tested across a uric acid concentration range of 10 to 200 mg/dL, exhibiting excellent performance in linearity, sensitivity, and accuracy, with optimal results observed at a wavelength of 950 nm. At this wavelength, the sensor achieved a linearity of 0.9694, sensitivity of 0.0034 (mg/dL)^-1, and accuracy of 97.42%. Compared to the previous developments, this work validates the improved linearity range performance and offers rapid response times due to its reagent-free design. The proposed sensor shows strong potential for efficient real-time monitoring of uric acid over a wide concentration range. This is an open access article under the CC BY-NC-SA 4.0 license.

Affiliations

Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Batu Pahat, 86400, Malaysia; Department of Physics, Universitas Negeri Semarang, Semarang, 50229, Indonesia