4.7 Article

Autonomous reagent-based microfluidic pH sensor platform

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 225, Issue -, Pages 369-376

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2015.11.057

Keywords

Microfluidic system; pH sensor; Water analysis; Autonomous monitoring

Funding

  1. EU FP7 project AQUAWARN [FP7-SME-2013-605937]
  2. Science Foundation Ireland (SFI) [SFI/12/RC/2289]
  3. NERC [noc010013, noc010003] Funding Source: UKRI
  4. Natural Environment Research Council [noc010013, noc010003] Funding Source: researchfish

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A portable sensor has been developed for in situ measurements of pH within aqueous environments. The sensor design incorporates microfluidic technology, allowing for the use of low volume of samples and reagents, and an integrated low cost detection system that uses a light emitting diode as light source and a photodiode as the detector. Different combination of dyes has been studied in order to allow for a broader pH detection range, than can be obtained using a single dye. The optimum pH range for this particular dye combination was found to be between pH 4 and pH 9. The reagents developed for pH measurement were first tested using bench-top instrumentation and once optimised, the selected formulation was then implemented in the microfluidic system. The prototype system has been characterised in terms of pH response, linear range, reproducibility and stability. Results obtained using the prototype system are in good agreement with those obtained using reference instrumentation, i.e. a glass electrode/pH meter and analysis via spectrophotometer based assays. The reagent (mixture #3) is shown to be stable for over 8 months, which is important for long term deployments. A high reproducibility is reported with a global RSD of <= 1.8% across measurements of 90 samples, i.e. with respect to concentrations reported by a calibrated pH meter. A series of real water samples from multiple sources were also analysed using the portable sensor system, of which the global error found was 3.84% showing its feasibility for real-world applications. (C) 2015 Elsevier B.V. All rights reserved.

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