Evidence map›Paper›PMID 37232867›Full record

ArticleBiosensors2023

MoS

Yaofei Chen, Xin Xiong, Yu Chen, Lei Chen, Guishi Liu, Wei Xiao, Jifu Shi, Zhe Chen, Yunhan Luo

Abstract read
In one paragraph

Article in Biosensors, 2023. 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
–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

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.

  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

9 authors.

Yaofei ChenGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Xin XiongGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Yu ChenGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Lei ChenGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Guishi LiuGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Wei XiaoDepartment of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou 510317, China.
Jifu ShiSiyuan Laboratory, Department of Physics, Jinan University, Guangzhou 510632, China.
Zhe ChenGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.
Yunhan LuoGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China.

Funding

Basic and Applied Basic Research Foundation of Guangdong province 2022A1515011671, 2022A1515010272Basic and Applied Basic Research Foundation of Guangzhou 202102020758, 202201010553Fundamental Research Funds for the Central Universities 21621405, 21620328Science and Technology R&D Project of Shenzhen JSGG20201102163800003, JSGG20210713091806021the National Natural Science Foundation of China (NSFC) 62175094, 62275109, 61805108, 61904067, 62075088The science foundation of Guangdong Second Provincial General hospital TJGC-2021019
6 · The paper itself

Abstract

Surface plasmon resonance (SPR) based sensors play an important role in the biological and medical fields, and improving the sensitivity is a goal that has always been pursued. In this paper, a sensitivity enhancement scheme jointly employing MoS

Indexed as

Biosensing TechniquesNanodiamondsAnimalsGoldImmunoassayMolybdenumSurface Plasmon ResonanceGoldMolybdenumNanodiamondsMoS2 nanoflowersNanodiamondssensitivity enhancementSPR-based biosensorsurface engineering

Identifiers

PMID37232867
PMCPMC10216570

What OpenQuestion holds

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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.