Portable Sensors for Water Pathogens Detection

Kaushik, Madhulika; Nandi, Ashis Kumar; Mungurwadi, Vaishali B.

doi:10.1016/j.matpr.2017.12.368

Cited by 7 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S4 and S6 samples were in close vicinity of the dumping site where handpump depth was shallow (25ft.). The presence of coliforms in groundwater samples again confirm leachate percolation to shallow aquifers releasing poisonous compounds that contaminate water sources (Kaushik et al, 2018).…”

mentioning

confidence: 79%

Assessing the risk of landfill leachate on the groundwater quality of Chandigarh

Kaur¹,

Mor²,

Vig³

et al. 2022

JEB

View full text Add to dashboard Cite

Aim: Unscientific dumping of municipal solid waste (MSW) is still prevalent in the developing world, leading to adverse environmental and human health consequences. This study was conducted to assess the groundwater contamination due to leachate from the MSW dumping site in Chandigarh. Methodology: Leachate and groundwater samples from different sources were collected for two sampling periods from the vicinity of dumping site within a radius of 3 km. Collected samples were analyzed for physico-chemical parameters, heavy metals and microbiological examination. Results: The result showed high load of organic and inorganic contaminants in leachate as it had a higher COD value (10008 mgl-1 and 18280 mg l-1) whereas ammoniacal nitrogen (NH4+-N) levels were 2389 mg l-1 and 5796 mg l-1 for two sampling periods. The concentration of Cu and Zn were highest amongst all the analyzed heavy metals in leachate samples. Almost all parameters in groundwater samples exceeded the BIS and WHO standard limits, which showed high contamination of groundwater surrounding the dumping site. Interpretation: Higher concentrations of COD and NH4+-N in most groundwater samples indicates percolation of landfill leachate into the groundwater aquifer, leading to its contamination. Groundwater samples collected near the dumping sites of lower depth have higher levels of pollutants than the samples collected from higher depth.0

show abstract

mentioning

confidence: 79%

Assessing the risk of landfill leachate on the groundwater quality of Chandigarh

Kaur¹,

Mor²,

Vig³

et al. 2022

JEB

View full text Add to dashboard Cite

show abstract

“…E. coli O157:H7, a very perilous foodborne bacterium, may result in hemorrhagic colitis, hemolytic-uremic syndrome, and other comparable lifethreatening problems, suggesting the high importance of the detection of pathogenic bacteria E. coli O157:H7 at the point of care in order to guarantee the safety of food and protect the health of the general population. 59,60 To test the applicability and accuracy of the fully integrated handheld electrochemical sensing platform for E. coli O157:H7 analysis, the actual samples of E. coli O157:H7-spiked tap water and E. coli O157:H7-spiked watermelon juice were measured by both a fully integrated handheld electrochemical sensing platform and a commercial ELISA kit. Compared to the commercial ELISA kit, the fully integrated handheld electrochemical sensing platform exhibits the relative deviation of 8.51 and −5.08% for E. coli O157:H7 determination in the actual sample of E. coli O157:H7-spiked tap water and the actual sample of E. coli O157:H7-spiked watermelon juice, respectively (Figure 4A,B and Tables S9 and S10), which testifies the high applicability and excellent accuracy of the fully integrated handheld electrochemical sensing platform for E. coli O157:H7 measurement in the actual samples.…”

Section: Design and Performance Characterization Of The Microfluidic ...mentioning

confidence: 99%

A Fully Integrated Handheld Electrochemical Sensing Platform for Point-of-Care Testing of Escherichia coli O157:H7

Cao,

Deng,

Zhu

et al. 2024

Anal. Chem.

View full text Add to dashboard Cite

Fully integrated devices that enable full functioning execution without or with minimum external accessories or equipment are deemed to be one of the most desirable and ultimate objectives for modern device design and construction. Escherichia coli O157:H7 (E. coli O157:H7) is often linked to outbreaks caused by contaminated water and food. However, the sensors that are currently used for point-of-care E. coli O157:H7 (E. coli O157:H7) detection are often large and cumbersome. Herein, we demonstrate the first example of a handheld and pumpfree fully integrated electrochemical sensing platform with the capability to point-of-care test E. coli O157:H7 in the actual samples of E. coli O157:H7-spiked tap water and E. coli O157:H7-spiked watermelon juice. This platform was made possible by overcoming major engineering challenges in the seamless integration of a microfluidic module for pump-free liquid sample collection and transportation, a sensing module for efficient E. coli O157:H7 testing, and an electronic module for automatically converting and wirelessly transmitting signals into a single and compact electrochemical sensing platform that retains its inimitable stand-alone, handheld, pump-free, and cost-effective feature. Although our primary emphasis in this study is on detecting E. coli O157:H7, this pump-free fully integrated handheld electrochemical sensing platform may also be used to monitor other pathogens in food and water by including specific antipathogen antibodies.

show abstract

“…The vulnerability of the aquifer to contamination was assessed and validated by applying hydrogeological and hydrothermal chemical methods, and the groundwater vulnerability of the site was mapped using the DRASTIC model. Literature (Kaushik et al, 2018) proposed a groundwater pollution risk assessment method with the objective of protecting the civil well, and used this method to conduct groundwater pollution risk assessment in a simple landfill. According to the inherent stochastic property of groundwater, a groundwater pollution risk assessment method based on uncertainty process simulation is summarized.…”

Section: Introductionmentioning

confidence: 99%

Prediction of groundwater pollution diffusion path based on multi-source data fusion

Zhang

Huo

Luo

2023

Front. Environ. Sci.

View full text Add to dashboard Cite

In order to improve the prediction accuracy of groundwater pollution diffusion path, this paper combines multivariate data fusion technology to predict and analyze the groundwater pollution diffusion path. Under the special two-strategy swarm game model of water pollution particle swarm, this paper introduces replication dynamics with bounded continuous time-delay. Moreover, considering the dynamic behavior in both cases of constant kernel function and exponential kernel function, the hawk-dove game model is a special case of the model we are discussing. In addition, this paper proposes a method combining leaching surface and flux concentration, and applies numerical simulation method to simulate and analyze transient leakage monitoring of similar point and line source pollution in planar two-dimensional heterogeneous aquifers. The experimental study verifies that the multivariate data fusion proposed in this paper can play an important role in the prediction of groundwater pollution diffusion path.

show abstract

Portable Sensors for Water Pathogens Detection

Cited by 7 publications

References 25 publications

Assessing the risk of landfill leachate on the groundwater quality of Chandigarh

Assessing the risk of landfill leachate on the groundwater quality of Chandigarh

A Fully Integrated Handheld Electrochemical Sensing Platform for Point-of-Care Testing of Escherichia coli O157:H7

Prediction of groundwater pollution diffusion path based on multi-source data fusion

Contact Info

Product

Resources

About