Evidence map›Paper›PMID 35171382›Full record

ArticleMikrochimica acta2022

Determination of tuberculosis-related volatile organic biomarker methyl nicotinate in vapor using fluorescent assay based on quantum dots and cobalt-containing porphyrin nanosheets.

Qidi He, Shuangshuang Cai, Jinghao Wu, Ou Hu, Lushan Liang, Zuanguang Chen

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Quantum Dot-Based Nanosensors for In Vitro Detection ofNanomaterials (Basel, Switzerland) · 2024
    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

6 authors at 1 institution in 1 country.

Qidi He *School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
Shuangshuang Cai *School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
Jinghao WuSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
Ou HuSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
Lushan LiangSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
Zuanguang ChenSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China. chenzg@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-0405-2911
Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China No. 21675177Science and Technology Planning Project of Guangzhou No. 202002020084State Administration of Traditional Chinese Medicine of the People's Republic of China No. 20191014
6 · The paper itself

Abstract

Methyl nicotinate (MN) is a representative and typical volatile organic marker of Mycobacterium tuberculosis, and the specific detection of MN in human breath facilitates non-invasive, rapid, and accurate epidemic screening of tuberculosis infection. Herein, we constructed a fluorescent assay consisted of CdTe quantum dots (QD) and cobalt-metalized tetrakis(4-carboxyphenyl) porphyrin (CoTCPP) nanosheets to determine methyl nicotinate (MN) in vapor samples. Red-emission QD (λ

Indexed as

BiomarkersCadmium CompoundsHumansMycobacterium tuberculosisNanoparticlesNicotinic AcidsPorphyrinsQuantum DotsSpectrometry, FluorescenceTelluriumVolatilizationBiomarkersCadmium Compoundscadmium telluridemethyl nicotinateNicotinic AcidsPorphyrinsTelluriumFluorescent assayMethyl nicotinateNanoporphyrinQuantum dotsTuberculosisVolatile organic biomarker

Identifiers

PMID35171382
OpenAlexW4213077837

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.