Evidence map›Paper›PMID 35298794›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2022

Ellman's method-based determination of acibenzolar-S-methyl in tobacco by transesterification with methanol and SABP2-catalyzed hydrolysis.

Kang Yang, Wenyu Sun, Qiang Li, Jingfeng Wang, Jianzhuang Yao, Xia Wang

Abstract read
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In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2022. 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
0.6field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Kang Yang *School of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China.
Wenyu Sun *School of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China.
Qiang LiSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China.
Jingfeng WangSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China.
Jianzhuang YaoSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China. bio_yaojz@ujn.edu.cn.ORCID http://orcid.org/0000-0002-5017-3677
Xia WangSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, People's Republic of China. bio_wangx@ujn.edu.cn.ORCID http://orcid.org/0000-0002-4569-8778
University of Jinan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acibenzolar-S-methyl (ASM) is the most commercially successful biological antibacterial agent used for crop through systemic acquired resistance (SAR). In this study, a reproducible and accurate procedure, based on the spectrophotometric/microplate reader analysis, has been developed to detect ASM in tobacco leaves. This method involves oxidation of methyl mercaptan by the Ellman's reagent 5,5'-dithio-bis (2-nitrobenzoic acid) (DTNB) to form the yellow derivative 5'-thio-2-nitrobenzoic acid (TNB

Indexed as

MethanolNicotianaCarrier ProteinsCatalysisDithionitrobenzoic AcidHydrolysisSulfhydryl CompoundsThiadiazolesCarrier ProteinsDithionitrobenzoic AcidMethanolS-methyl benzo(1,2,3)thiadiazole-7-carbothioateSulfhydryl CompoundsThiadiazolesAcibenzolar-S-methylEllman’s reagentMicroplate readerSalicylic acid-binding-protein 2Systemic acquired resistance

Identifiers

PMID35298794
OpenAlexW4220731590

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.