Evidence map›Paper›PMID 33572384›Full record

ReviewMolecules (Basel, Switzerland)2021

Applications of Vibrational Spectroscopy for Analysis of Connective Tissues.

William Querido, Shital Kandel, Nancy Pleshko

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 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

3 authors.

William QueridoDepartment of Bioengineering, Temple University, Philadelphia, PA 19122, USA.
Shital KandelDepartment of Bioengineering, Temple University, Philadelphia, PA 19122, USA.
Nancy PleshkoDepartment of Bioengineering, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0001-8656-3936

Funding

Evaluation of Cartilage Tissue Engineering Strategies by IR ImagingR01AR056145 · NIAMS · TEMPLE UNIV OF THE COMMONWEALTH · PI PLESHKO, NANCY · 2009 to 2020
$3.3M
NIAMS NIH HHS R01 AR056145
6 · The paper itself

Abstract

Advances in vibrational spectroscopy have propelled new insights into the molecular composition and structure of biological tissues. In this review, we discuss common modalities and techniques of vibrational spectroscopy, and present key examples to illustrate how they have been applied to enrich the assessment of connective tissues. In particular, we focus on applications of Fourier transform infrared (FTIR), near infrared (NIR) and Raman spectroscopy to assess cartilage and bone properties. We present strengths and limitations of each approach and discuss how the combination of spectrometers with microscopes (hyperspectral imaging) and fiber optic probes have greatly advanced their biomedical applications. We show how these modalities may be used to evaluate virtually any type of sample (ex vivo, in situ or in vivo) and how "spectral fingerprints" can be interpreted to quantify outcomes related to tissue composition and quality. We highlight the unparalleled advantage of vibrational spectroscopy as a label-free and often nondestructive approach to assess properties of the extracellular matrix (ECM) associated with normal, developing, aging, pathological and treated tissues. We believe this review will assist readers not only in better understanding applications of FTIR, NIR and Raman spectroscopy, but also in implementing these approaches for their own research projects.

Indexed as

AnimalsBone and BonesCartilageConnective TissueFiber Optic TechnologyHumansSpectroscopy, Fourier Transform InfraredSpectroscopy, Near-InfraredSpectrum Analysis, Ramanbonecartilagefiber optic probesfourier transform infrared (FTIR)hyperspectral imagingnear infrared (NIR)Raman

Identifiers

PMID33572384
PMCPMC7916244

What Socratic 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 Socratic graph.