Evidence map›Paper›PMID 38858258›Full record

ArticleMikrochimica acta2024

Ultrasensitive electrochemical sensor based on synergistic effect of Ag@MXene and antifouling cyclic multifunctional peptide for PD-L1 detection in serum.

Junjie Xia, Yangyang Zhou, Yindian Wang, Yawen Liu, Qiang Chen, Kwangnak Koh, Xiaojun Hu, Hongxia Chen

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In one paragraph

Article in Mikrochimica acta, 2024. 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
–field-weighted citation impact
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

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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.

  1. Review
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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

8 authors.

Junjie XiaSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Yangyang ZhouSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Yindian WangSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Yawen LiuSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Qiang ChenSchool of Medicine, Shanghai University, Shanghai, 200444, China.
Kwangnak KohInstitute of General Education, Pusan National University, Busan, 609-735, Republic of Korea.
Xiaojun HuSchool of Life Sciences, Shanghai University, Shanghai, 200444, China. xjhu11@shu.edu.cn.
Hongxia ChenSchool of Life Sciences, Shanghai University, Shanghai, 200444, China. hxchen@shu.edu.cn.ORCID http://orcid.org/0000-0003-2400-9061

Funding

National Natural Science Foundation of China 61875114
6 · The paper itself

Abstract

A sensing interface co-constructed from the two-dimensional conductive material (Ag@MXene) and an antifouling cyclic multifunctional peptide (CP) is described. While the large surface area of Ag@MXene loads more CP probes, CP binds to Ag@MXene to form a fouling barrier and ensure the structural rigidity of the targeting sequence. This strategy synergistically enhances the biosensor's sensitivity and resistance to contamination. The SPR results showed that the binding affinity of the CP to the target was 6.23 times higher than that of the antifouling straight-chain multifunctional peptide (SP) to the target. In the 10 mg/mL BSA electrochemical fouling test, the fouling resistance of Ag@MXene + CP (composite sensing interface of CP combined with Ag@MXene) was 30 times higher than that of the bare electrode. The designed electrochemical sensor exhibited good selectivity and wide dynamic response range at PD-L1 concentrations from 0.1 to 50 ng/mL. The lowest detection limit was 24.54 pg/mL (S/N = 3). Antifouling 2D materials with a substantial specific surface area, coupled with non-straight chain antifouling multifunctional peptides, offer a wide scope for investigating the sensitivity and antifouling properties of electrochemical sensors.

Indexed as

Biosensing TechniquesElectrochemical TechniquesLimit of DetectionPeptides, CyclicSilverBiofoulingElectrodesHumansPeptides, CyclicSilverAg@MXeneAntifoulingElectroanalysisElectrochemical impedance spectroscopyModified electrodeMultifunctional peptidePD-L1

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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.