Next-Generation Methods for Precise pH Detection in Ocular Chemical Burns: A Review of Recent Analytical Advancements

Abstract

Ocular burns due to accidental chemical spillage pose an immediate threat, representing over 20% of emergency ocular traumas. Early detection of the ocular pH is imperative in managing ocular chemical burns. Alkaline chemical burns are more detrimental than acidic chemical burns. Current practices utilize litmus, nitrazine strips, bromothymol blue, fluorescent dyes, and micro-combination glass probes to detect ocular pH. However, these methods have inherent drawbacks, leading to inaccurate pH measurements, less sensitivity, photodegradation, limited pH range, and longer response time. Hence, there is a tremendous necessity for developing relatively simple, accurate, precise ocular pH detection methods. The current review aims to provide comprehensive coverage of the conventional practices of ocular pH measurement during accidental chemical burns, highlighting their strengths and weaknesses. Besides, it delves into cutting-edge technologies, including pH-sensing contact lenses, microfluidic contact lenses, fluorescent scleral contact lenses, fiber optic pH technology, and pH-sensitive thin films. The study meticulously examines the reported work since 2000. The collected data have also helped propose future directions, and the research gap needs to be filled to provide a more rapid, sensitive, and accurate measurement of ocular pH in eye clinics. For the first time, this review consolidates current techniques and recent advancements in ocular pH detection, offering a strategic overview to propel ophthalmic-related research forward and enhance ocular burn management during a chemical spillage.

Article information

Article type
Critical Review
Submitted
22 Eka. 2024
Accepted
13 Aza. 2024
First published
13 Aza. 2024

Anal. Methods, 2024, Accepted Manuscript

Next-Generation Methods for Precise pH Detection in Ocular Chemical Burns: A Review of Recent Analytical Advancements

B. Sandaruwan, D. C. Manatunga, R. Nilmini, N. P. Costha, R. Dassanayake, R. Wijesinghe, Y. Zhou and Y. Liu, Anal. Methods, 2024, Accepted Manuscript , DOI: 10.1039/D4AY01178C

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