Evidence map›Paper›PMID 38667188›Full record

ArticleBiosensors2024

Coffee Ring Effect Enhanced Surface Plasmon Resonance Imaging Biosensor via 2-λ Fitting Detection Method.

Youjun Zeng, Dongyun Kai, Zhenxiao Niu, Zhaogang Nie, Yuye Wang, Yonghong Shao, Lin Ma, Fangteng Zhang, Guanyu Liu, Jiajie Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2024. 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, top 95% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Youjun ZengSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-5559-2977
Dongyun KaiSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Zhenxiao NiuSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Zhaogang NieSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Yuye WangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Yonghong ShaoKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Lin MaSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Fangteng ZhangSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Guanyu LiuSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Jiajie ChenKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-7200-6626
Guangdong University of Technology · CNShenzhen University · CN

Funding

Guangzhou Science and Technology Plan Project 2023A04J1711, 2021A1515012049, 2020A1515011530National Natural Science Foundation of China 62305074, 62275164, 62275168, 11774071Natural Science Foundation of Guangdong Province 2023A1515011708
6 · The paper itself

Abstract

SPR biosensors have been extensively used for investigating protein-protein interactions. However, in conventional surface plasmon resonance (SPR) biosensors, detection is limited by the Brownian-motion-governed diffusion process of sample molecules in the sensor chip, which makes it challenging to detect biomolecule interactions at ultra-low concentrations. Here, we propose a highly sensitive SPR imaging biosensor which exploits the coffee ring effect (CRE) for in situ enrichment of molecules on the sensing surface. In addition, we designed a wavelength modulation system utilizing two LEDs to reduce the system cost and enhance the detection speed. Furthermore, a detection limit of 213 fM is achieved, which amounts to an approximately 365 times improvement compared to traditional SPR biosensors. With further development, we believe that this SPR imaging system with high sensitivity, less sample consumption, and faster detection speed can be readily applied to ultra-low-concentration molecular detection and interaction analysis.

Indexed as

Biosensing TechniquesSurface Plasmon ResonanceLimit of Detectionbiophotonics and plasmonicsbiosensing and bioimagingcoffee ring effectsurface plasmon resonance

Identifiers

PMID38667188
PMCPMC11047821
OpenAlexW4394878812

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.