Recent Advances in Spectroscopy
A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Optical Interaction Science".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 48
Special Issue Editors
Interests: THz spectroscopy
Special Issue Information
Dear Colleagues,
The field of spectroscopy is currently undergoing a paradigm shift, transitioning from a standard analytical tool to a cornerstone of high-resolution spectral imaging of molecular systems and quantum diagnostics. This paradigm shift in spectroscopy is being driven by the recent emergence of diverse advanced application domains—such as smart sensing for cyber physical systems, personalized physiological/situational aware wearables, automated industrial process control, etc.—and is being made possible by unprecedented precision, speed, and sensitivity of spectroscopic sensing. By moving beyond simple identification, modern spectroscopic techniques now allow for the real-time observation of dynamic processes across physics, chemistry, and biology.
This Special Issue, "Recent Advances in Spectroscopy," explores the cutting-edge methodologies and instrumentation driving this evolution, focusing on the synergy between physics, chemistry, biology, materials science, and computational intelligence.
Key themes in this collection will include, but are not limited to, the following:
- Faster temporal resolution: the transition toward ultrafast temporal resolution, enabling the study of electron migration and chemical transitions towards the attosecond scale.
- Extreme spatial resolution: the integration of nanotechnology which has facilitated extreme spatial resolution, pushing the boundaries of detection toward single-molecule diagnostics.
- Deep learning analytics: the application of artificial intelligence and machine learning which is transforming raw spectral data into actionable intelligence, automating complex pattern recognition and error correction.
- Futuristic spectroscopic platforms: the instrumentation development towards more portable, robust, energy-efficient, and high-throughput systems required for field translation of lab-based spectroscopic platforms.
This Special Issue will serve as a comprehensive record of these multidisciplinary efforts, highlighting how spectroscopy or the energetics of the light–matter interaction continues to drive innovation in agri-food-pharma and healthcare, environmental and energy science, and fundamental material research, with a special focus on quantum dynamics.
Dr. Aparajita Bandyopadhyay
Dr. Amartya Sengupta
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 250 words) can be sent to the Editorial Office for assessment.
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. Photonics is an international peer-reviewed open access monthly 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 2400 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
- faster temporal resolution
- extreme spatial resolution
- deep learning analytics
- futuristic spectroscopic platforms
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