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Colorimetric detection of alkaline phosphatase on paper microfluidic test strip based on the in-situ formation of gold nanoparticles

Publication Type : Journal Article

Publisher : Elsevier

Source : Materials Letters

Url : https://doi.org/10.1016/j.matlet.2024.137236

Campus : Coimbatore

School : School of Physical Sciences

Department : Chemistry

Year : 2024

Abstract : Affordable alkaline phosphatase enzyme detection methods are essential for diagnosing hepatic diseases. In this work, an in-situ formation of gold nanoparticles was utilized to develop a colorimetric method to detect alkaline phosphatase. Alkaline phosphatase dephosphorylates the substrate 2-phospho-L-ascorbic acid and produces ascorbic acid. Ascorbic acid, thus formed, is a good reducing agent that reduces Au3+ ions to gold nanoparticles. Alkaline phosphatase concentrations from 20 U/L to 400 U/L were spectrophotometrically detected using the surface plasmon resonance properties of the in-situ formed gold nanoparticles. The detection shows a sensitivity of 0.004 ± 0.0002 (a.u)/(U/L), a limit of detection of 2.8 mU/L, and a limit of quantification of 9.5 mU/L. A three-dimensional microfluidic paper test strip was fabricated to translate this detection method into a point-of-care testing device. The blue color formed on the paper was scanned, and the color intensities were analyzed using image processing. The three-dimensional microfluidic paper-based analytical devices could detect alkaline phosphatase concentration from 20 U/L to 400 U/L with an improved sensitivity of 0.0980 ± 0.0016 (a.u)/(U/L). The limit of detection and limit of quantification of the analysis on the paper strip was 0.748 U/L and 2.49 U/L, respectively.

Cite this Research Publication : Haritha H Variar, Nayana Thara, D. Alageswari, P.E. Resmi, Aarathi Pradeep, T.G. Satheesh Babu, P.V. Suneesh, Colorimetric detection of alkaline phosphatase on paper microfluidic test strip based on the in-situ formation of gold nanoparticles, Materials Letters, Volume 375, 2024, 137236,ISSN 0167-577X, https://doi.org/10.1016/j.matlet.2024.137236

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