Evidence map›Paper›PMID 39474139›Full record

ReviewChemical & biomedical imaging2023

Recent Advances in Enhancement of Raman Scattering Intensity for Biological Applications.

Sidan Tian, Zeyu Zhang, Fanling Meng, Zhihua Wang, Liang Luo

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Sidan TianNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.
Zeyu ZhangNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.
Fanling MengNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.ORCID https://orcid.org/0000-0003-1025-7312
Zhihua WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, P. R. China.
Liang LuoNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.ORCID https://orcid.org/0000-0001-9274-1866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman scattering spectroscopy has attracted great interest for its significant potential in multiplexed biological imaging and sensing. However, the extremely weak molecular Raman scattering signal raises considerable concerns about its applicability in physiological conditions. Many multidisciplinary attempts, combining optics, materials science, and biology, have been conducted in the past decades to solve the problem of insufficient Raman scattering intensity and to realize the practical application of Raman scattering technology in the field of life science. In addition, to overcome the bottleneck of a single enhancement technology, more and more emphasis has been given to the combination of multiple Raman enhancement technologies. The underlying ideas behind each enhancement mechanism needs to be fully comprehended to effectively combine various techniques for desired signal intensity. Here, we summarize recent strategies developed for the enhancement of the signal strength of Raman scattering. We will also analyze the major advantages and disadvantages of each enhancement technique and provide perspectives for the compatibility and complementarity among different enhancement mechanisms.

Identifiers

PMID39474139
PMCPMC11504432

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Registered trials

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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.