Evidence map›Paper›PMID 38382105›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2024

Raman and Surface-Enhanced Raman Scattering Detection in Flowing Solutions for Complex Mixture Analysis.

Monika Poonia, Courtney J Morder, Hannah C Schorr, Zachary D Schultz

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
  5. Article
  6. 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

4 authors.

Monika PooniaDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA; email: schultz.133@osu.edu.
Courtney J MorderDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA; email: schultz.133@osu.edu.
Hannah C SchorrDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA; email: schultz.133@osu.edu.
Zachary D SchultzDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA; email: schultz.133@osu.edu.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Glycosylation Analysis by Sheath-Flow SERSR21GM140382 · NIGMS · OHIO STATE UNIVERSITY · PI SCHULTZ, ZACHARY · 2021 to 2022
$423k
NCI NIH HHS P30 CA016058NIGMS NIH HHS R21 GM140382
6 · The paper itself

Abstract

Raman scattering provides a chemical-specific and label-free method for identifying and quantifying molecules in flowing solutions. This review provides a comprehensive examination of the application of Raman spectroscopy and surface-enhanced Raman scattering (SERS) to flowing liquid samples. We summarize developments in online and at-line detection using Raman and SERS analysis, including the design of microfluidic devices, the development of unique SERS substrates, novel sampling interfaces, and coupling these approaches to fluid-based chemical separations (e.g., chromatography and electrophoresis). The article highlights the challenges and limitations associated with these techniques and provides examples of their applications in a variety of fields, including chemistry, biology, and environmental science. Overall, this review demonstrates the utility of Raman and SERS for analysis of complex mixtures and highlights the potential for further development and optimization of these techniques.

Indexed as

chromatographyelectrophoresismicrofluidicsonline detectionRamanSERSsurface-enhanced Raman scattering

Identifiers

PMID38382105
PMCPMC11254575

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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.