Evidence map›Paper›PMID 36071267›Full record

ArticleAnalytical and bioanalytical chemistry2022

Development of aptamers for rapid airborne bacteria detection.

In Hwa Jeong, Ho Kyeong Kim, Hye Ri Kim, Jungbae Kim, Byoung Chan Kim

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

5 authors at 3 institutions in 1 country.

In Hwa JeongDepartment of Chemical and Biological Engineering, Korea University, Seoul, Korea.
Ho Kyeong KimDepartment of Chemical and Biological Engineering, Korea University, Seoul, Korea.
Hye Ri KimCenter for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Seoul, Korea.
Jungbae KimDepartment of Chemical and Biological Engineering, Korea University, Seoul, Korea. jbkim3@korea.ac.kr.
Byoung Chan KimCenter for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Seoul, Korea. bchankim@kist.re.kr.
Korea Institute of Science and Technology · KRKorea University · KRKorea University of Science and Technology · KR

Funding

Korea Institute of Science and Technology 2E31661Korea Institute of Science and Technology 2E31711National Research Foundation of Korea NRF-2020R1A2C3009649
6 · The paper itself

Abstract

Airborne microbes can rapidly spread and cause various infectious diseases worldwide. This necessitates the determination of a fast and highly sensitive detection method. There have been no studies on receptors targeting Citrobacter braakii (C. braakii), a pathogenic bacterium which can exist in the air. In this study, we rapidly isolate an aptamer, a nucleic acid molecule that can specifically bind to C. braakii by centrifugation-based partitioning method (CBPM) reported previously by our groups as omitting the repeated rounds of binding incubation, separation, and amplification that are indispensable for SELEX. The binding affinity and specificity of isolated aptamers are checked using bacteria in liquid culture and recollection solution from aerosolized bacteria. Recollection solutions of the recovered bacteria are obtained by nebulizing, drying, and recapturing with a biosampler. The CB-5 aptamer shows high affinity and specificity for C. braakii (K

Indexed as

Aptamers, NucleotideNucleic AcidsBacteriaSELEX Aptamer TechniqueAptamers, NucleotideNucleic AcidsAirborne bacteriaAptamerBioreceptorCitrobacter braakiiNon-SELEX

Identifiers

PMID36071267
OpenAlexW4294884087

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.