Paper-Sensors for Point-of-Care Monitoring of Drinking Water Quality

Mandal, Nilanjan; Mitra, Shirsendu

doi:10.1109/jsen.2019.2919269

Cited by 28 publications

(13 citation statements)

References 31 publications

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“…Paper-based biodevices (PBBs) are simple, inexpensive, and robust alternatives to assays, as has been proven for diagnosis of infectious diseases. − These are miniaturized POC devices made of porous cellulose capable of storing the reagents, and the reaction with the analyte being detected either visually by a color contrast through fluorescent/colorimetric dyes or via spectroscopic measurements . In order to be sensitive and selective for a given disease, these devices have biorecognition elements immobilized, such as enzymes, antibodies, and aptamers. − The whole detection process is performed on a single strip of nonexpensive paper, without requiring additional instrumentation and multiple processing steps.…”

Section: Emerging Strategies For Diagnosis Of Covid-19mentioning

confidence: 99%

On the Challenges for the Diagnosis of SARS-CoV-2 Based on a Review of Current Methodologies

et al. 2020

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Diagnosis of COVID-19 has been challenging owing to the need for mass testing and for combining distinct types of detection to cover the different stages of the infection. In this review, we have surveyed the most used methodologies for diagnosis of COVID-19, which can be basically categorized into genetic-material detection and immunoassays. Detection of genetic material with real-time polymerase chain reaction (RT-PCR) and similar techniques has been achieved with high accuracy, but these methods are expensive and require time-consuming protocols which are not widely available, especially in less developed countries. Immunoassays for detecting a few antibodies, on the other hand, have been used for rapid, less expensive tests, but their accuracy in diagnosing infected individuals has been limited. We have therefore discussed the strengths and limitations of all of these methodologies, particularly in light of the required combination of tests owing to the long incubation periods. We identified the bottlenecks that prevented mass testing in many countries, and proposed strategies for further action, which are mostly associated with materials science and chemistry. Of special relevance are the methodologies which can be integrated into point-of-care (POC) devices and the use of artificial intelligence that do not require products from a well-developed biotech industry.

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Section: Emerging Strategies For Diagnosis Of Covid-19mentioning

confidence: 99%

On the Challenges for the Diagnosis of SARS-CoV-2 Based on a Review of Current Methodologies

et al. 2020

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“…With the progress of society, especially now is in is a critical period of accelerated industrialization and urbanization, China is facing the pressure and risk of water shortage and deterioration of water environment. Real-time understanding of water quality conditions and maintenance of water safety has become China's current letter to be solved [1][2].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment and Countermeasures of Heavy Metals in Drinking Water Environment of Guizhou Province

Yang

Zhang

et al. 2021

E3S Web Conf.

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The quality of drinking water is closely related to the health condition of the population. In order to effectively assess the heavy metal environment of drinking water in Guizhou Province, this paper first analyzed the distribution characteristics of heavy metals in drinking water, and then used the environmental health risk assessment model recommended by the United States Environmental Protection Agency (US EPA) to investigate and analyze the toxic and hazardous substances in drinking water in Guizhou Province in 2019 to assess the health risks of heavy metals in drinking water. The survey results showed that the cancer-causing health risks of drinking water in Guizhou Province exceeded the EPA evaluation standards, while the non-cancer-causing health risks were much lower than the evaluation standards. Finally, for the heavy metal environment of drinking water in Guizhou province, this paper proposes corresponding response strategies from two perspectives of water quality monitoring and government supervision.

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“…There are a large number of students' performance test data in colleges and universities every year [1,2]. At present, the existing system can only backup, query and statistics the data, and does not comprehensively analyze the problems existing in the teaching process of teachers and students.…”

Section: Introductionmentioning

confidence: 99%

Design of Decision Support System for Distance Learning Based on Data Mining

Shao¹

2021

converter

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Since the existing system cannot assess the quality of distance education, the credibility and efficiency of decision support results are low, and the stability of the system is also poor. Combined with data mining technology, a remote learning decision support system based on data mining is designed and proposed. First, the actual situation of each university is analyzed, the system is designed in combination with the B/S architecture, and the various components of the system are described in detail. Then, the C4.5 algorithm of the decision tree algorithm is used to establish a distance teaching quality evaluation model, and the corresponding classification rules are extracted to effectively realize the teaching quality evaluation. Finally, a simulation test is carried out. The experimental results show that the designed system can comprehensively improve the stability and execution efficiency of the system, enhance the credibility of decision support results, and have certain practical applicability.

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Paper-Sensors for Point-of-Care Monitoring of Drinking Water Quality

Cited by 28 publications

References 31 publications

On the Challenges for the Diagnosis of SARS-CoV-2 Based on a Review of Current Methodologies

On the Challenges for the Diagnosis of SARS-CoV-2 Based on a Review of Current Methodologies

Risk Assessment and Countermeasures of Heavy Metals in Drinking Water Environment of Guizhou Province

Design of Decision Support System for Distance Learning Based on Data Mining

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