Literature DB >> 33462441

Characterization of connective tissues using near-infrared spectroscopy and imaging.

Isaac O Afara1,2, Rubina Shaikh3,4, Ervin Nippolainen3, William Querido5, Jari Torniainen3, Jaakko K Sarin4, Shital Kandel5, Nancy Pleshko5, Juha Töyräs3,6,4.   

Abstract

Near-infrared (NIR) spectroscopy is a powerful analytical method for rapid, non-destructive and label-free assessment of biological materials. Compared to mid-infrared spectroscopy, NIR spectroscopy excels in penetration depth, allowing intact biological tissue assessment, albeit at the cost of reduced molecular specificity. Furthermore, it is relatively safe compared to Raman spectroscopy, with no risk of laser-induced photothermal damage. A typical NIR spectroscopy workflow for biological tissue characterization involves sample preparation, spectral acquisition, pre-processing and analysis. The resulting spectrum embeds intrinsic information on the tissue's biomolecular, structural and functional properties. Here we demonstrate the analytical power of NIR spectroscopy for exploratory and diagnostic applications by providing instructions for acquiring NIR spectra, maps and images in biological tissues. By adapting and extending this protocol from the demonstrated application in connective tissues to other biological tissues, we expect that a typical NIR spectroscopic study can be performed by a non-specialist user to characterize biological tissues in basic research or clinical settings. We also describe how to use this protocol for exploratory study on connective tissues, including differentiating among ligament types, non-destructively monitoring changes in matrix formation during engineered cartilage development, mapping articular cartilage proteoglycan content across bovine patella and spectral imaging across the depth-wise zones of articular cartilage and subchondral bone. Depending on acquisition mode and experiment objectives, a typical exploratory study can be completed within 6 h, including sample preparation and data analysis.

Entities:  

Year:  2021        PMID: 33462441     DOI: 10.1038/s41596-020-00468-z

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  59 in total

1.  Near infrared spectroscopy for rapid determination of Mankin score components: a potential tool for quantitative characterization of articular cartilage at surgery.

Authors:  Isaac Oluwaseun Afara; Indira Prasadam; Hayley Moody; Ross Crawford; Yin Xiao; Adekunle Oloyede
Journal:  Arthroscopy       Date:  2014-06-17       Impact factor: 4.772

2.  Non-destructive evaluation of articular cartilage defects using near-infrared (NIR) spectroscopy in osteoarthritic rat models and its direct relation to Mankin score.

Authors:  I Afara; I Prasadam; R Crawford; Y Xiao; A Oloyede
Journal:  Osteoarthritis Cartilage       Date:  2012-07-20       Impact factor: 6.576

3.  Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage.

Authors:  I Afara; S Singh; A Oloyede
Journal:  Med Eng Phys       Date:  2012-07-22       Impact factor: 2.242

4.  Near-infrared spectroscopy for arthroscopic evaluation of cartilage lesions: results of a blinded, prospective, interobserver study.

Authors:  Gunter Spahn; Hans Michael Klinger; Mike Baums; Martin Hoffmann; Holger Plettenberg; Anne Kroker; Gunther O Hofmann
Journal:  Am J Sports Med       Date:  2010-09-16       Impact factor: 6.202

5.  A novel diagnostic method for human immunodeficiency virus type-1 in plasma by near-infrared spectroscopy.

Authors:  Akikazu Sakudo; Roumiana Tsenkova; Taisuke Onozuka; Kazuo Morita; Shuming Li; Jiranan Warachit; Yukie Iwabu; Guimei Li; Takashi Onodera; Kazuyoshi Ikuta
Journal:  Microbiol Immunol       Date:  2005       Impact factor: 1.955

6.  Assessment of hyaline cartilage matrix composition using near infrared spectroscopy.

Authors:  Uday P Palukuru; Cushla M McGoverin; Nancy Pleshko
Journal:  Matrix Biol       Date:  2014-07-29       Impact factor: 11.583

7.  Optical absorption spectra of human articular cartilage correlate with biomechanical properties, histological score and biochemical composition.

Authors:  Isaac O Afara; Markku Hauta-Kasari; Jukka S Jurvelin; Adekunle Oloyede; Juha Töyräs
Journal:  Physiol Meas       Date:  2015-08-06       Impact factor: 2.833

Review 8.  Critical Review Upon the Role and Potential of Fluorescence and Near-Infrared Imaging and Absorption Spectroscopy in Cancer Related Cells, Serum, Saliva, Urine and Tissue Analysis.

Authors:  Christian W Huck; Yukihiro Ozaki; Verena A Huck-Pezzei
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

9.  Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy.

Authors:  Uday P Palukuru; Arash Hanifi; Cushla M McGoverin; Sean Devlin; Peter I Lelkes; Nancy Pleshko
Journal:  Anal Chim Acta       Date:  2016-04-25       Impact factor: 6.558

10.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

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  4 in total

1.  Nondestructive assessment of tissue engineered cartilage based on biochemical markers in cell culture media: application of attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy.

Authors:  William Querido; Sabrina Zouaghi; Mugdha Padalkar; Justin Morman; Jessica Falcon; Shital Kandel; Nancy Pleshko
Journal:  Analyst       Date:  2022-04-11       Impact factor: 5.227

2.  Resolving the Near-Infrared Spectrum of Articular Cartilage.

Authors:  Isaac O Afara; Adekunle Oloyede
Journal:  Cartilage       Date:  2021-10-13       Impact factor: 3.117

Review 3.  Applications of Vibrational Spectroscopy for Analysis of Connective Tissues.

Authors:  William Querido; Shital Kandel; Nancy Pleshko
Journal:  Molecules       Date:  2021-02-09       Impact factor: 4.411

4.  Assessment of Ligament Viscoelastic Properties Using Raman Spectroscopy.

Authors:  Andy Cui; Ervin Nippolainen; Rubina Shaikh; Jari Torniainen; Aapo Ristaniemi; Mikko Finnilä; Rami K Korhonen; Simo Saarakkala; Walter Herzog; Juha Töyräs; Isaac O Afara
Journal:  Ann Biomed Eng       Date:  2022-07-08       Impact factor: 4.219

  4 in total

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