Evidence map›Paper›PMID 34198765›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer.

Yang Li, Xiaojia Liu, Jiuchuan Guo, Yueting Zhang, Jinhong Guo, Xinggui Wu, Bo Wang, Xing Ma

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

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 47 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Yang LiSchool of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Xiaojia LiuSauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Jiuchuan GuoSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yueting ZhangSchool of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Jinhong GuoSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-2659-3150
Xinggui WuCloudMinds Inc., Shenzhen Bay Science and Technology Ecological Park, Shenzhen 100022, China.
Bo WangSchool of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Xing MaSauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Shanghai University of Engineering Science · CNHarbin Institute of Technology · CNUniversity of Electronic Science and Technology of China · CN

Funding

Shenzhen Bay Laboratory SZBL201906281005Shenzhen Science and Technology Innovation Program JSGG20191129105842769, KQTD20170809110344233
6 · The paper itself

Abstract

Inflammatory biomarkers are closely related to infectious diseases. However, traditional clinical tests of laboratory inspection are unable to achieve rapid and accurate detection of these biomarkers on-site due to shortcomings such as complex experimental operation, expensive equipment, and long test time. Herein, we proposed a lateral flow assay (LFA) strip based on surface-enhanced Raman scattering (SERS) nanotags (SERS-LFA strips) for the simultaneous and quantitative detection of dual infection biomarkers, serum amyloid A (SAA) and C-reactive protein (CRP), respectively. In practice, mesoporous silica (mSiO

Indexed as

core-shell nanoparticlesinflammatory biomarkerslateral flow assay (LFA) strippoint-of-care testing (POCT)portable cloud Raman spectrometersurface-enhanced Raman scattering (SERS)

Identifiers

PMID34198765
PMCPMC8226521
OpenAlexW3172024993

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.