A Lab-on-Chip analyzer for in situ measurement of soluble reactive phosphate: improved phosphate blue assay and application to fluvial monitoring

Clinton-Bailey, Geraldine S.; Grand, Maxime M.; Beaton, Alexander D.; Nightingale, Adrian M.; Owsianka, David R.; Slavik, Gregory J.; Connelly, Douglas P.; Cardwell, Christopher L. ORCID: https://orcid.org/0000-0003-1305-4174; Mowlem, Matthew C.. 2017 A Lab-on-Chip analyzer for in situ measurement of soluble reactive phosphate: improved phosphate blue assay and application to fluvial monitoring. Environmental Science & Technology, 51 (17). 9989-9995. https://doi.org/10.1021/acs.est.7b01581

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© 2017 American Chemical Society This document is the author’s final manuscript version of the journal article, incorporating any revisions agreed during the peer review process. Some differences between this and the publisher’s version remain. You are advised to consult the publisher’s version if you wish to cite from this article.
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Official URL: https://doi.org/10.1021/acs.est.7b01581

Abstract/Summary

Here, we present a new in situ microfluidic phosphate sensor that features an improved “phosphate blue” assay which includes polyvinylpyrrolidone in place of traditional surfactants—improving sensitivity and reducing temperature effects. The sensor features greater power economy and analytical performance relative to commercially available alternatives, with a mean power consumption of 1.8 W, a detection limit of 40 nM, a dynamic range of 0.14–10 μM, and an infield accuracy of 4 ± 4.5%. During field testing, the sensor was continuously deployed for 9 weeks in a chalk stream, revealing complex relations between flow rates and phosphate concentration that suggest changing dominance in phosphate sources. A distinct diel phosphorus signal was observed under low flow conditions, highlighting the ability of the sensor to decouple geochemical and biotic effects on phosphate dynamics in fluvial environments. This paper highlights the importance of high resolution in situ sensors in addressing the current gross under-sampling of aquatic environments.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1021/acs.est.7b01581
ISSN:	0013-936X
Date made live:	21 Sep 2017 09:21 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/517876

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1021/acs.est.7b01581

ISSN:

0013-936X

Date made live:

21 Sep 2017 09:21 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/517876