Evidence map›Paper›PMID 40183919›Full record

ArticleMikrochimica acta2025

Nanomaterials functionalized signal-ON/OFF electrogenerated chemiluminescence biosensor for quantization of trypsin based on target-induced cleavage of peptide.

Shuo Kang, Ronghan Qu, Yuhong Duan, Jiale Yang, Fen Ma

Abstract read
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Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Shuo KangSynthetic and Natural Functional Molecule Chemistry of Ministry of Education Key Laboratory, College of Chemistry and Materials Science, Northwest University, Xi'an, Shaanxi, 710127, People's Republic of China.
Ronghan QuSynthetic and Natural Functional Molecule Chemistry of Ministry of Education Key Laboratory, College of Chemistry and Materials Science, Northwest University, Xi'an, Shaanxi, 710127, People's Republic of China.
Yuhong DuanSynthetic and Natural Functional Molecule Chemistry of Ministry of Education Key Laboratory, College of Chemistry and Materials Science, Northwest University, Xi'an, Shaanxi, 710127, People's Republic of China.
Jiale YangSynthetic and Natural Functional Molecule Chemistry of Ministry of Education Key Laboratory, College of Chemistry and Materials Science, Northwest University, Xi'an, Shaanxi, 710127, People's Republic of China.
Fen MaSynthetic and Natural Functional Molecule Chemistry of Ministry of Education Key Laboratory, College of Chemistry and Materials Science, Northwest University, Xi'an, Shaanxi, 710127, People's Republic of China. mafen@nwu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trypsin (TPN) is an important proteolytic enzyme in the digestive system and its abnormal levels are indicative of some pancreatic diseases. As an endopeptidase, TPN can cleave substrate peptide mainly by catalyzing the hydrolysis of the carboxyl side peptide bond of lysine (K) or arginine (R) residues. Based on this hydrolysis cleavage effect, two kinds of nanomaterials functionalized electrogenerated chemiluminescence (ECL) biosensors for the determination of TPN were designed as follows: A signal-ON ECL biosensor was fabricated by attaching substrate peptide (HWR*GWVC, "*" representing the cleavage site, abbreviated as HGC) labeled with ferrocene carboxylic acid (as quencher) onto the surface of NH

Indexed as

Biosensing TechniquesLuminescent MeasurementsNanostructuresPeptidesTrypsinElectrochemical TechniquesGoldHumansLimit of DetectionMetal NanoparticlesGoldPeptidesTrypsinBiosensorElectrogenerated chemiluminescenceHydrolysis cleavageLuminescence quenchingMetal organic frameworks (MOFs)Trypsin

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Registered trials

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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.