A miniature porous aluminum oxide-based flow-cell for online water quality monitoring using bacterial sensor cells

Yagur‐Kroll, Sharon; Schreuder, Erik; Ingham, Colin J.; Heideman, René; Rosen, Rachel; Belkin, Shimshon

doi:10.1016/j.bios.2014.09.076

Cited by 48 publications

(20 citation statements)

References 29 publications

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“…Each toxic sample was introduced for 90 minutes and then fresh media was injected to recover the device. 4). In the meantime, the L-broth media were introduced into the other inlets of the detection and reference channels.…”

Section: Resultsmentioning

confidence: 99%

“…What is needed to accommodate this process is an in-situ, highly sensitive, and fast response biosensing tool for real-time measurements of toxic components in water. Manuscript Conventional techniques are not suitable for providing the required analysis capabilities of water quality because they are time-consuming, cumbersome and need a wide range of exsitu experiments with external equipment [3][4][5][6]. Even recently developed affinity-based biosensors are designed only for specific components, where other unknown and non-specific toxic substances cannot be detected [2].…”

Section: Introductionmentioning

confidence: 99%

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A Dual-Channel, Interference-Free, Bacteria-Based Biosensor for Highly Sensitive Water Quality Monitoring

2016

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In this work, we demonstrated a miniaturized bacteria-based biosensing platform for sensitive, reliable and practical on-line monitoring of water quality. Two biosensors were integrated into a dual-channel microfluidic device which operated as a detection and a reference sensor, respectively. By providing a reference-compensated sensing response, the device was capable of minimizing environmental interferences such as temperature and flow rate, ultimately leading to high sensitivity and reliability in water quality monitoring. We used microbial fuel cell (MFC) technology as a biosensor for the detection of toxic substances in water. Toxic components inhibit bacterial metabolic activity, generating a distinct change in the current output of the MFC-based biosensor. Each biosensor incorporated a single-chambered MFC with an air-cathode, which substantially decreased the device complexity and enhanced the practicability as a real-world application. The miniaturization of the MFC biosensor having a 90 L microfluidic chamber provided rapid and sensitive sensing responses with a concentration range from 0.003% to 0.075% of formaldehyde in media. By controlling the introduction time of the toxic sample with sequential injection of the fresh media into the detection channel, the biosensor is completely reusable and is potentially applicable to long-term in-situ monitoring of water quality.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Dual-Channel, Interference-Free, Bacteria-Based Biosensor for Highly Sensitive Water Quality Monitoring

2016

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“…In this paper, all 25 groups of data are processed by MATLAB [18]; and predict is selected as the kernel function of LS-SVM. Among them, 17 groups are used as modeling data, and the remaining 8 groups are used as verification data.…”

Section: Establishment Of Least Squares Support Vector Machine Modelmentioning

confidence: 99%

Application of multispectral remote sensing technology in water quality monitoring

Yin¹,

Guofan²,

Yan³

et al. 2019

Desalination and Water Treatment

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a b s t r a c tIn order to understand the water quality of the Qinghe Reservoir in a timely and accurate manner, multi-spectral remote sensing technology is used to monitor the water quality. Using the OLI data of Landsat satellite, the correlations of single-band and band combination with the chlorophyll concentration and total suspended solids concentration of OLI data are analyzed by SPSS software. The largest correlation coefficient is selected to construct the ratio linear regression model and the nonlinear least squares support vector machine (LS-SVM). The two models are used to study the multi-spectral remote sensing inversion of chlorophyll a and total suspended solids in Qinghe Reservoir. The results show that compared with the ratio linear regression model, the LS-SVM model increases the decision coefficient R 2 of the predicted and actual chlorophyll a from 0.635 to 0.966, and the root mean square error decreases from 4.83 to 2.67; the coefficient R 2 of the predicted and actual suspended solids concentration is increased from 0.686 to 0.88, and the average relative error is reduced from 3.52% to 3.16%. The accuracy of multispectral remote sensing inversion of the concentration of chlorophyll a and total suspended solids is significantly improved by LS-SVM model.

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“…Recently, the cost of commercially available sensors has stimulated the development of alternative low-cost, robust sensors and data loggers: opensource software, electronics, and off-the-shelf hardware store items, combined with low-cost microcontrollers (Pearce, 2012). For example, low-cost water quality sensors have been developed and tested for parameters such as pH and conductivity, temperature, toxicity, and turbidity (Banna et al, 2014;Chapin, Todd, & Zeigler, 2014;Murphy et al, 2015;Tuna, Arkoc, & Gulez, 2013;Yagur-Kroll et al, 2015), although few sensors have actually been deployed in the field. Offthe-shelf cameras have also been applied successfully to record water level (Gilmore, Birgand, & Chapman, 2013) and discharge (Bradley, Kruger, Meselhe, & Muste, 2002;Tsubaki, Fujita, & Tsutsumi, 2011), plant phenology (Crimmins & Crimmins, 2008;Nijland et al, 2014), and cloud cover (Scholl, 2015).…”

Section: New Sensors and Data Loggersmentioning

confidence: 99%

Watershed services in the humid tropics: Opportunities from recent advances in ecohydrology

et al. 2017

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In response to increasing pressures on water resources, watershed services management programs are implemented throughout the tropics. These programs aim to promote land management activities that enhance the quantity and quality of water available to local communities. The success of these programs hinges on our ability to (a) understand the impacts of watershed interventions on ecohydrology; (b) model these impacts and design efficient management programs; and (c) develop strategies to overcome barriers to practical policy development, including resource limitations or the absence of baseline data. In this paper, we review opportunities in ecohydrological science that will help address these three challenges. The opportunities are grouped into measurement techniques, modelling approaches, and access to resources in our hyperconnected world. We then assess management implications of both the knowledge gaps and the new research developments related to the effect of land management. Overall, we stress the importance of policy‐relevant knowledge for implementing efficient and equitable watershed services programs in the tropics.

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A miniature porous aluminum oxide-based flow-cell for online water quality monitoring using bacterial sensor cells

Cited by 48 publications

References 29 publications

A Dual-Channel, Interference-Free, Bacteria-Based Biosensor for Highly Sensitive Water Quality Monitoring

A Dual-Channel, Interference-Free, Bacteria-Based Biosensor for Highly Sensitive Water Quality Monitoring

Application of multispectral remote sensing technology in water quality monitoring

Watershed services in the humid tropics: Opportunities from recent advances in ecohydrology

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