Evidence map›Paper›PMID 31266259›Full record

ArticleMicromachines2019

Development of a Surface Plasmon Resonance and Fluorescence Imaging System for Biochemical Sensing.

Lulu Zhang, Guijun Miao, Jing Zhang, Luyao Liu, Shisong Gong, Yichen Li, Dafu Cui, Yuanchen Wei, Duli Yu, Xianbo Qiu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 2 institutions in 1 country.

Lulu ZhangCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. llzhang@mail.buct.edu.cn.
Guijun MiaoCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Jing ZhangCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Luyao LiuCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Shisong GongCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Yichen LiCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Dafu CuiState key laboratory of transducer technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
Yuanchen WeiState key laboratory of transducer technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
Duli YuCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Xianbo QiuCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. xbqiu@mail.buct.edu.cn.
Xing ChenState key laboratory of transducer technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China. xchen@mail.ie.ac.cn.
Beijing University of Chemical Technology · CNState Key Laboratory of Transducer Technology · CN

Funding

Fundamental Research Funds for the Central Universities XK1802-4, PYBZ1830National Natural Science Foundation of China 61571420, 31571007 and 61201079Talent Project of Beijing University of Chemical Technology BUCTRC201905
6 · The paper itself

Abstract

Surface plasmon resonance (SPR) biosensors are an extremely sensitive optical technique used to detect the changes in refractive index occurring at the sensor interface. Fluorescence involves the emission of light by a substance that has absorbed light or other electromagnetic radiation, and the parameters of the absorbed and emitted radiation are used to identify the presence and the amount of specific molecules in a specimen. SPR biosensors and fluorescence analysis are both effective methods for real-time detection. The combination of these technologies would improve the quantitative detection sensitivity of fluorescence analysis and the specificity of SPR detection. We designed and developed an SPR and fluorescence synchronous detection system. The SPR module was based on two kinds of modulation methods, and the fluorescence module was capable of switching between four wavelengths. The fluorescence microspheres and A549 cells of different concentration were both detected by the SPR and fluorescence method synchronously in real time. The fluorescent signal and the optical signal of the SPR were shown to correlate. The correlation coefficient for fluorescent microspheres detection reached up to 0.9866. The system could be used in cell analysis and molecule diagnosis in the future.

Indexed as

biosensorcellcombinationfluorescencesurface plasmon resonance (SPR)

Identifiers

PMID31266259
PMCPMC6680379
OpenAlexW2953417448

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.