Evidence map›Paper›PMID 35161912›Full record

ArticleSensors (Basel, Switzerland)2022

Rapid Detection of Three Common Bacteria Based on Fluorescence Spectroscopy.

Ranran Du, Dingtian Yang, Xiaoqing Yin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Review
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  9. Article
  10. Optical Sensors for Bacterial Detection.Sensors (Basel, Switzerland) · 2023
    Review
  11. Article
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

3 authors at 2 institutions in 1 country.

Ranran DuGuangdong Key Lab of Ocean Remote Sensing, State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
Dingtian YangGuangdong Key Lab of Ocean Remote Sensing, State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
Xiaoqing YinGuangdong Key Lab of Ocean Remote Sensing, State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
South China Sea Institute Of Oceanology · CNSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CN

Funding

National Key R&D Program of China 2018YFD0900901the Natural Science Foundation of China 41776180the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) GML2019ZD060
6 · The paper itself

Abstract

As an important part of environmental water quality monitoring, efficient bacterial detection has attracted widespread attention. Among them, LIF (laser-induced fluorescence) technology has the characteristics of high efficiency and sensitivity for bacterial detection. To simplify the experimental process of bacterial detection, fluorescence emission spectra of

Indexed as

Escherichia coliStaphylococcus aureusBacteriaFluorescenceSpectrometry, FluorescenceTryptophanTryptophandisease-causing bacteriafluorescence intensity ratio (FIR)fluorescence spectrum analysislaser-induced fluorescence (LIF)

Identifiers

PMID35161912
PMCPMC8840577
OpenAlexW4210548896

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.