Special Issue "Applications of Raman Spectroscopy in Sensors"
Deadline for manuscript submissions: closed (31 October 2018)
As a non-invasive/non-destructive technique that can provide qualitative and quantitative information on the chemical content of samples, Raman spectroscopy lends itself to the development of (bio)chemical sensors that can serve, among others, in point-of-care diagnosis, in situ identification of food contaminants and detection of narcotics and terrorism agents (viruses, explosives). Raman spectroscopy, offers key advantages in the field of sensor development, such as sensitive and label-free identification of (bio)chemical compounds through their unique vibrational “fingerprints”, minimal sample preparation, user friendliness and miniaturization potential. Moreover, powerful Raman techniques, such as Surface-enhanced Raman Scattering (SERS), Surface-enhanced Resonance Raman Scattering (SERRS), Tip-enhanced Raman Scattering (TERS) can produce theoretically up to a 1014-fold signal enhancement, thus reaching single-molecule detection capabilities.
For this Special Issue, we invite both reviews and original research articles discussing novel Raman-based (bio)chemical sensing techniques that can be applied to analyte detection, quantification, or mapping. Research articles may focus on the use of Raman-based sensors in biological analysis, medical diagnostics, illicit drug detection, science, public safety, or food and water quality inspection. Chemical, colloidal, nanofabrication or other methods that can lead to ultrasensitive analyte detection through Raman signal enhancement (e.g., ultrasensitive SERS substrates) are welcome. Of special interest are applications of Raman spectroscopy with the potential to lead to miniaturized sensors, such as microfluidic (Lab-on-a-chip) devices, portable/handheld Raman sensors for point-of-need applications, etc. Reviews must offer a critical and up-to-date overview of the state of the art in a particular application, or discuss present and future challenges of Raman-based sensors (limit of detection, multiplexing, detection in complex matrices, etc.).
Should you require clarifications, or wish to discuss your submission in advance, we encourage you to contact us. We are looking forward to receiving your contribution to this Special Issue.
Prof. Aris Docoslis
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. Sensors 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 1800 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.
- Raman-based sensors
- Raman mapping
- Multiphoton Raman spectroscopy imaging
- Portable sensors
- Microfluidic sensors
- In situ diagnostics
- Point-of-need sensors
- Standoff detection
- Illicit drug and cannabis detection
- Food and water quality monitoring
- Homeland security
- Multivariate analysis in sensing