Evidence map›Paper›PMID 27587905›Full record

ReviewJournal of Raman spectroscopy : JRS2016

Achieving optimal SERS through enhanced experimental design.

Heidi Fisk, Chloe Westley, Nicholas J Turner, Royston Goodacre

Abstract readReview
In one paragraph

Review in Journal of Raman spectroscopy : JRS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Three-Dimensional Hierarchical Reticular Nanostructure ofNanomaterials (Basel, Switzerland) · 2018
    Article
  11. Article
  12. Achieving optimal SERS through enhanced experimental design.Journal of Raman spectroscopy : JRS · 2016
    Review
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.

Heidi FiskSchool of Chemistry, Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK.
Chloe WestleySchool of Chemistry, Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK.
Nicholas J TurnerSchool of Chemistry, Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK.
Royston GoodacreSchool of Chemistry, Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK.

Funding

Biotechnology and Biological Sciences Research Council BB/K00199X/1
6 · The paper itself

Abstract

One of the current limitations surrounding surface-enhanced Raman scattering (SERS) is the perceived lack of reproducibility. SERS is indeed challenging, and for analyte detection, it is vital that the analyte interacts with the metal surface. However, as this is analyte dependent, there is not a single set of SERS conditions that are universal. This means that experimental optimisation for optimum SERS response is vital. Most researchers optimise one factor at a time, where a single parameter is altered first before going onto optimise the next. This is a very inefficient way of searching the experimental landscape. In this review, we explore the use of more powerful multivariate approaches to SERS experimental optimisation based on design of experiments and evolutionary computational methods. We particularly focus on colloidal-based SERS rather than thin film preparations as a result of their popularity. © 2015 The Authors. Journal of Raman Spectroscopy published by John Wiley & Sons, Ltd.

Indexed as

chemometricsdesign of experimentgenetic algorithmoptimisationSERS

Identifiers

PMID27587905
PMCPMC4984853

What OpenQuestion holds

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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.