Wahida Bhuiyan a, Carla Ruggiero b, Seongbong Heo a, Akash Srivastava b, Brett Warren b, Yonqiang Liu a, Adrian Nightingale a, Xize Niu a b
a Faculty of Engineering and Physical Sciences, University of Southampton, UK., United Kingdom
b SouthWestSensor Ltd
Proceedings of Emerging Investigators in Microfluidics Conference (EIMC)
Online, Spain, 2021 July 20th - 21st
Organizers: Adrian Nightingale, Darius Rackus and Claire Stanley
Oral, Wahida Bhuiyan, presentation 028
Publication date: 5th July 2021

Quantifying the concentration of dissolved nutrients in water is traditionally achieved by spot sampling and subsequent laboratory analysis. The process is manually intensive and intrinsically limits the frequency and/or number of data points that can be obtained therefore the short-lived episodic events could be missed. By using sensors to monitor in situ, however, much larger data sets can be obtained which can be reported in real-time and with less overall capital expenditure. The majority of current commercial ammonium sensors are based on ion-selective electrodes, produced for example by Xylem YSI and RSHydro. These are user-friendly and feature high measurement frequencies but, as is commonly found for electrochemical-based sensors, their calibration drifts over time requiring frequent manual recalibration. Moreover, they have also been shown to be highly susceptible to interference from changes in ionic concentration. We report here the development of a novel droplet microfluidics based ammonium sensor, and its deployment to a sequential batch bioreactor enriched with polyhydroxyalkanoates (PHAs) accumulating bacteria. PHAs are microbially produced polyesters which are biodegradable, biocompatible, and have tuneable mechanical and thermal properties and their microbial production has garnered vast research interest [1]. The sensor miniaturizes the widely adopted indophenol blue method in droplets (LOD of 0.11 mg/L), can perform high frequency and accurate measurement and provide long period of monitoring with minimal reagent consumption (1700 nL per analysis). Driven by a specially designed persistaltic pump based on a phased-flow droplet generation method [2], the sensor can autonomously collect samples (via filter) from the bioreactor, produce droplet trains, regulate temperature for completion of reaction and provide colorimetric measurements (5 per minute) via an inline spectrophotometer, thus removing human intervention. The preliminary data obtained over a four day period shows high resolution monitoring and reveals the fast feeding behavior of the bacteria, which could lead to the design of more efficient bioreactors and feedback controlled bioprocessing. These type of sensors could form the next generation of in situ sensors, to address wide applications in monitoring for wastewater treatment, environmental monitoring, aquaculture and others, especially when transient and episodic events are involved.

We thank the UK’s Natural Environment Research Council for funding (NE/R013578/1, NE/S013458/1).

© Fundació Scito
We use our own and third party cookies for analysing and measuring usage of our website to improve our services. If you continue browsing, we consider accepting its use. You can check our Cookies Policy in which you will also find how to configure your web browser for the use of cookies. More info