Evidence map›Paper›PMID 37310589›Full record

ReviewJournal of fluorescence2024

Illuminating Bacterial Contamination in Water Sources: The Power of Fluorescence-Based Methods.

Kinjal Modi, Krunal Modi, Keyur Bhatt, Nihal Patel, Jaymin Parikh, Brij Mohan, Namrata Bajaj, Amish Vyas, Flory Kothari

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of fluorescence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kinjal ModiDepartment of Chemistry, Faculty of Science, Ganpat University, Kherva, Mehsana, 384012, Gujarat, India.
Krunal ModiDepartment of Humanity and Sciences, School of engineering, Indrashil university, Kadi, Mehsana, 382740, Gujarat, India. kmodi5033@gmail.com.ORCID http://orcid.org/0000-0002-1151-1207
Keyur BhattDepartment of Chemistry, Faculty of Science, Ganpat University, Kherva, Mehsana, 384012, Gujarat, India. drkdbhatt@outlook.com.ORCID http://orcid.org/0000-0001-9301-576X
Nihal PatelDepartment of Chemistry, Faculty of Science, Ganpat University, Kherva, Mehsana, 384012, Gujarat, India.
Jaymin ParikhDepartment of Chemistry, Faculty of Science, Ganpat University, Kherva, Mehsana, 384012, Gujarat, India.
Brij MohanCentro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, Lisboa, 1049-001, Portugal.
Namrata BajajDepartment of Humanity and Sciences, School of engineering, Indrashil university, Kadi, Mehsana, 382740, Gujarat, India.
Amish VyasDepartment of Chemical and Biochemical Engineering, School of Engineering, Indrashil University, Mehsana, 382740, Gujarat, India.
Flory KothariDepartment of Biotechnology, Faculty of Science, Ganpat University, Kherva, Mehsana, 384012, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial contamination of water sources is a significant public health concern, and therefore, it is important to have accurate and efficient methods for monitoring bacterial concentration in water samples. Fluorescence-based methods, such as SYTO 9 and PI staining, have emerged as a promising approach for real-time bacterial quantification. In this review, we discuss the advantages of fluorescence-based methods over other bacterial quantification methods, including the plate count method and the most probable number (MPN) method. We also examine the utility of fluorescence arrays and linear regression models in improving the accuracy and reliability of fluorescence-based methods. Overall, fluorescence-based methods offer a faster, more sensitive, and more specific option for real-time bacterial quantification in water samples.

Indexed as

BacteriaWaterReproducibility of ResultsStaining and LabelingWaterBacterial quantificationFluorescence-based methodsReal-time monitoringSYTO 9 and PI stainingWater contamination

Identifiers

PMID37310589

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.