Special Issue "Vibrational Spectroscopy for Biomedical Materials Analysis"
A special issue of Materials (ISSN 1996-1944).
Deadline for manuscript submissions: 31 May 2020.
Vibrational spectroscopy is a non-destructive identification method that measures the vibrational energy in a compound. As each chemical bond has a unique vibrational energy, depending on which other compounds the chemical bond of interest is bound to, and because of this unique vibrational energy, each compound will have a unique fingerprint or the output identifying the peak strengths at specific vibrations. This fingerprint can be used to determine the compound structures, identify and characterize compounds, and identify impurities.
Because of such features, vibrational spectroscopy is a rapidly growing field and it has found applications in industries including material science, pharmaceutical manufacture, food and drug safety, and process monitoring on production lines. Based on the non-invasive features, interest in clinical spectroscopy is analogously rising rapidly, as researchers recognize the potential of the vibrational spectroscopic techniques―infrared (IR) and Raman spectroscopy―as non-invasive tissue diagnosis tools and biomedical materials.
In clinical pathology, vibrational spectroscopy is widely employed in cancer detection and diagnosis, the pathology of microorganisms, in vivo spectroscopy, and imaging. Analogously, the materials to be used in biomedical applications can be satisfactorily analysed by making use of vibrational spectroscopy.
However, many questions remain open. For example, the details of the characteristic peak frequencies and their relationship to the specific functional groups present in the biological tissues have not been fully understood, requiring theoretical and modelling efforts.
The Special Issue is open to new advances in the application of vibrational spectroscopies (IR and Raman) to medical materials analysis, involving the following:
- IR and Raman spectroscopy;
- FTIR—Fourier transform infrared spectroscopy;
- Synchrotron infrared spectroscopy
- Medical materials;
- Tissue engineering;
- Clinical analysis and data processing;
- Chemical fingerprints and clinical diagnostics;
- Clinical applications and noninvasive spectroscopy;
- Plasmonics and nanomedicine;
- Theory and modeling
Dr. Mario D’Acunto
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- IR and Raman spectroscopy
- FTIR—Fourier transform infrared spectroscopy
- Synchrotron infrared spectroscopy Medical materials
- Tissue engineering
- Clinical analysis and data processing
- Chemical fingerprints and clinical diagnostics
- Clinical applications and noninvasive spectroscopy
- Plasmonics and nanomedicine
- Theory and modeling