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Advances in Raman Spectroscopic Sensing and Imaging

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 1587

Special Issue Editors

Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
Interests: linear and nonlinear Raman spectroscopy; surface-enhanced Raman spectroscopy; plasmonics; electrochemistry; bioimaging
College of Engineering, Boston University, 8 St Mary's Street, Boston, MA 02215, USA
Interests: drug resistance; antimicrobial susceptibility test; stimulated Raman scattering microscopy

Special Issue Information

Dear Colleagues,

Raman spectroscopy is not only a non-destructive chemical analysis technique which provides intrinsic chemical information about a sample, but also utilizes the merits of the narrow bandwidth and low background of Raman spectra, offering itself as a promising multiplex analytical technique. Raman spectroscopy has become a routine but powerful analytical tool in chemistry, physics, material, biology, and medicine.

Despite these attractive attributions, spontaneous Raman scattering is very weak, which leads to poor detection sensitivity and long integration time. To improve Raman signal, one approach is the involvement of localized surface plasmon resonance effect, which increases the driving electromagnetic field. Another route is to employ coherent Raman processes (e.g., coherent anti-Stokes Raman scattering and stimulated Raman scattering) to boost the signal. With the development of nanotechnology, laser, optoelectronic devices and data processing, Raman spectroscopy researchers are pushing the limit of sensitivity, spatial resolution, detection speed, and multiplex capability.

This Special Issue aims to cover the latest development in Raman spectroscopic sensing and imaging. Original research and review articles for this Special Issue can address topics including, but not limited to:

  • Surface-enhanced Raman spectroscopy;
  • Tip-enhanced Raman spectroscopy;
  • Coherent Raman scattering microscopy;
  • Advanced Raman techniques and instruments;
  • Raman-based sensors;
  • Hyphenated Raman techniques;
  • Algorithms and methods for data processing and analysis;
  • Raman spectroscopic sensing and imaging techniques for bioanalysis, renewable energy, environmental sciences, and materials.

Dr. Cheng Zong
Dr. Meng Zhang
Guest Editors

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 submissions that pass pre-check are 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 2600 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.

Keywords

  • Raman spectroscopy
  • coherent Raman scattering
  • surface-enhanced Raman spectroscopy (SERS)
  • tip-enhanced Raman spectroscopy
  • chemical imaging
  • sensors

Published Papers (1 paper)

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Research

15 pages, 3750 KiB  
Article
Characterization of Stromatolite Organic Sedimentary Structure Based on Spectral Image Fusion
by Hongpeng Wang, Xinru Yan, Yingjian Xin, Peipei Fang, Yian Wang, Sicong Liu, Jianjun Jia, Liang Zhang and Xiong Wan
Sensors 2023, 23(13), 6128; https://doi.org/10.3390/s23136128 - 03 Jul 2023
Viewed by 1278
Abstract
This paper evaluates the potential application of Raman baselines in characterizing organic deposition. Taking the layered sediments (Stromatolite) formed by the growth of early life on the Earth as the research object, Raman spectroscopy is an essential means to detect deep-space extraterrestrial life. [...] Read more.
This paper evaluates the potential application of Raman baselines in characterizing organic deposition. Taking the layered sediments (Stromatolite) formed by the growth of early life on the Earth as the research object, Raman spectroscopy is an essential means to detect deep-space extraterrestrial life. Fluorescence is the main factor that interferes with Raman spectroscopy detection, which will cause the enhancement of the Raman baseline and annihilate Raman information. The paper aims to evaluate fluorescence contained in the Raman baseline and characterize organic sedimentary structure using the Raman baseline. This study achieves spectral image fusion combined with mapping technology to obtain high spatial and spectral resolution fusion images. To clarify that the fluorescence of organic matter deposition is the main factor causing Raman baseline enhancement, 5041 Raman spectra were obtained in the scanning area of 710 μm × 710 μm, and the correlation mechanism between the gray level of the light-dark layer of the detection point and the Raman baseline was compared. The spatial distribution of carbonate minerals and organic precipitations was detected by combining mapping technology. In addition, based on the BI-IHS algorithm, the spectral image fusion of Raman fluorescence mapping and reflection micrograph, polarization micrograph, and orthogonal polarization micrograph are realized, respectively. A fusion image with high spectral resolution and high spatial resolution is obtained. The results show that the Raman baseline can be used as helpful information to characterize stromatolite organic sedimentary structure. Full article
(This article belongs to the Special Issue Advances in Raman Spectroscopic Sensing and Imaging)
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