Application of microfluidics in waterborne pathogen monitoring: A review

Bridle, Helen; Miller, Brian; Desmulliez, Marc Phillipe Yves

doi:10.1016/j.watres.2014.01.061

Cited by 79 publications

(55 citation statements)

References 77 publications

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“…Among the protozoan diseases, cryptosporidiosis has a well-defined seasonality (with spring and summer peaks) while giardiasis is less seasonal. Regional temperature and precipitation influence the persistence, transfer and proliferation of waterborne pathogens (Bouzid 2016). In temperate latitudes, during the colder months, the number of waterborne pathogens and associated indicators decrease, while in tropical climates, the warmest period favors the survival and re-inoculation of microbes in surface water (Pandey et al 2012).…”

Section: Microbial Pathogens In Recreational Watersmentioning

confidence: 99%

“…It is widely accepted that the climate change conditions have been associated with a modification of FIB prevalence and dispersion. Exposure routes and the risks posed by RW-borne pathogens to future communities may be very different than those posed today (Bouzid 2016). Increased surface water temperature is expected to alter environmental conditions within an aquatic ecosystem (e.g., promoting phytoplankton biomass, increasing levels of sediments and dissolved organic carbon in water column), and to result in generally higher microbial activity as well as changes in the pathogenic community composition (Coffey et al 2014).…”

Section: Limitations Of Fib-based Guidelinesmentioning

confidence: 99%

“…Despite major concern about how climate changes will alter the dynamics of aquatic ecosystem, predictions about certain bacterial and protozoa productivity can be made, namely which ones exhibit higher growth rates with increasing temperature (e.g., Clostridium botulinum, Campylobacter and Vibrio cholera (Ogden et al 2009;Cabral 2010)). Special attention should be given to viral community associated with RW, namely the human adenovirus, hepatitis A and E, dengue virus which can pose risk to public health in the future (Bouzid 2016). Similarly, combined changes in rainfall, temperature, and human land use will have important impacts on FIB behavior.…”

Section: Limitations Of Fib-based Guidelinesmentioning

confidence: 99%

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Assessment of the microbiological quality of recreational waters: indicators and methods

Rodrigues

Cunha

2017

Euro-Mediterr J Environ Integr

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The microbiological quality of recreational waters (RW) has been assessed through the use of microbial indicators. Usually, three typical fecal bacteria, namely fecal coliforms, Escherichia coli and Enterococcus spp., are deemed by legislation and regulatory agencies for routine monitoring of the fecal contamination in RW. However, these traditional indicators have some limitations, as they underestimate health risks and do not determine the sources of contamination. Currently, the increasing concern with the minimization of human health risks associated with recreational water use and the protection of water resources outweigh the actual normative perspective. The potentials and limitations of conventional and alternative fecal contamination detection systems must be carefully evaluated, taking into account the specificities of each recreational water body and the natural or anthropogenic sources of environmental variability. The careful choice of analysis for detection and quantification of indicators in the light of their potential and shortcomings is of major importance for the timely evaluation of risks and implementation of strategies that effectively protect users and preserve water quality. This paper presents a critical literature review of the traditional and innovative methodologies for the analysis of fecal indicators in recreational water and intends to discuss their contribution for the management of the microbiological quality and safety of leisure surface waters.

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Section: Microbial Pathogens In Recreational Watersmentioning

confidence: 99%

Section: Limitations Of Fib-based Guidelinesmentioning

confidence: 99%

Section: Limitations Of Fib-based Guidelinesmentioning

confidence: 99%

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Assessment of the microbiological quality of recreational waters: indicators and methods

Rodrigues

Cunha

2017

Euro-Mediterr J Environ Integr

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“…Such sample handling steps are integral for effective clinical diagnostics, therapeutics development, biosurveillance efforts, and progress in life science research and technology. A myriad microfluidic separation strategies have been demonstrated for fluid-suspended particulates and colloids, as well as for chemical and biological species; several reviews provide overviews of recent progress and developments in these fields [1][2][3][4][5][6][7][8][9] . Although many of these microfluidic separation technologies (hereafter referred to as "Core Devices") have been extensively characterized, few reports have considered the sample separation problem at a system level.…”

Section: Introductionmentioning

confidence: 99%

A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice

Fong

Huang

Hamilton

et al. 2015

JoVE

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A major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. However, to achieve robust sample manipulation it is necessary to address device integration with the macroscale environment. To realize repeatable, sensitive particle separation with microfluidic devices, this protocol presents a complete automated and integrated microfluidic platform that enables precise processing of 0.15-1.5 ml samples using microfluidic devices. Important aspects of this system include modular device layout and robust fixtures resulting in reliable and flexible world to chip connections, and fully-automated fluid handling which accomplishes closed-loop sample collection, system cleaning and priming steps to ensure repeatable operation. Different microfluidic devices can be used interchangeably with this architecture. Here we incorporate an acoustofluidic device, detail its characterization, performance optimization, and demonstrate its use for size-separation of biological samples. By using real-time feedback during separation experiments, sample collection is optimized to conserve and concentrate sample. Although requiring the integration of multiple pieces of equipment, advantages of this architecture include the ability to process unknown samples with no additional system optimization, ease of device replacement, and precise, robust sample processing.

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“…day of use after construction X 2 immobilized matrix size X 3 optode sensitivity X 4 change of analyte concentration in the measurement environment X 5 response time β i regression coefficients y i sensor observations ε i random disturbance…”

mentioning

confidence: 99%

Predictor–Response Analysis of Fiber Optic Enzymatic Biosensors Constructed with Nonmodified E. coli BL21 (DE3) pGELAF+ Sensing 1,2-Dichloroethane

Jensen

Mueller

2015

Appl Biochem Biotechnol

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Biosensor technology can lack methods to iteratively validate system outputs (i.e., signals) concomitantly with the development of mathematical models. We evaluated a nonmodified fiber optic enzymatic biosensor (FOEB-Escherichia coli BL21 (DE3) pGELAF+) sensing dichloroethane with a predictor-response statistical form. The linear regression technique applied with MATLAB functions correlated FOEB parameters to sensing responses that could be used to identify system characteristics and interactions. A FOEB specific metric (i.e. normalized sensitivity) is shown to be significant as a mixed sensing correlation metric suggesting that similar development parameters could be related to engineering design paradigms for biosensor (or whole cell biosensor) systems.

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Application of microfluidics in waterborne pathogen monitoring: A review

Cited by 79 publications

References 77 publications

Assessment of the microbiological quality of recreational waters: indicators and methods

Assessment of the microbiological quality of recreational waters: indicators and methods

A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice

Predictor–Response Analysis of Fiber Optic Enzymatic Biosensors Constructed with Nonmodified E. coli BL21 (DE3) pGELAF+ Sensing 1,2-Dichloroethane

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