Evidence map›Paper›PMID 31322859›Full record

ArticleAnalytical chemistry2019

Subsurface Chemically Specific Measurement of pH Levels in Biological Tissues Using Combined Surface-Enhanced and Deep Raman.

Benjamin Gardner, Pavel Matousek, Nicholas Stone

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2019. 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
3.7field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

3 authors at 2 institutions in 1 country.

Benjamin GardnerBiomedical Physics, School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences , University of Exeter , Exeter , EX4 4QL , United Kingdom.ORCID 0000-0002-7223-9585
Pavel MatousekCentral Laser Facility, Research Complex at Harwell , STFC Rutherford Appleton Laboratory , Harwell Oxford , OX11 0QX , United Kingdom.
Nicholas StoneBiomedical Physics, School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences , University of Exeter , Exeter , EX4 4QL , United Kingdom.ORCID 0000-0001-5603-3731
University of Exeter · GBRutherford Appleton Laboratory · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is much interest in using nanosensors to monitor biologically relevant species such as glucose, or cellular pH, as these often become dysregulated in diseases such as cancer. This information is often inaccessible at depth in biological tissue, due to the highly scattering nature of tissue. Here we show that gold nanoparticles labeled with pH-sensitive reporter molecules can monitor pH at depth in biological tissues. This was achieved using deep Raman spectroscopy (spatially offset Raman and transmission Raman) in combination with surface-enhanced Raman spectroscopy, allowing chemical information to be retrieved significantly deeper than conventional Raman spectroscopy permits. Combining these approaches with chemometrics enabled pH changes to be monitored with an error of ±∼0.1 pH units noninvasively through 22 mm of soft tissue. This development opens the opportunity for the next generation of light-based medical diagnostic methods, such as monitoring of cancers, known to significantly alter pH levels.

Indexed as

AnimalsBenzoatesGoldHumansHydrogen-Ion ConcentrationMeatMetal NanoparticlesMuscle, SkeletalSensitivity and SpecificitySpectrum Analysis, RamanSulfhydryl CompoundsSurface PropertiesSwine4-mercaptobenzoateBenzoatesGoldSulfhydryl Compounds

Identifiers

PMID31322859
PMCPMC7006966
OpenAlexW2963777437

What OpenQuestion holds

Textmetadata
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.