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Biosensors Technology and Its Applications Based on Raman Spectroscopy and...
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Biosensors Technology and Its Applications Based on Raman Spectroscopy and Imaging

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

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 5948

Special Issue Editors

Dr. Anna Chiara De Luca

E-Mail Website
Guest Editor
Institute of Biochemistry and Cell Biology - National Research Council of Italy, Via Pietro Castellino n.111, 80131 Napoli, Italy
Interests: Raman spectroscopy for cell sensing; Surface Enhanced Raman Spectroscopy (SERS) biosensors; Raman and SERS imaging; correlative imaging; optical sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Stefano Managò

E-Mail Website
Guest Editor
Institute of Biochemistry and Cell Biology - National Research Council of Italy, Via Pietro Castellino n.111, 80131 Napoli, Italy
Interests: Raman microscopy/imaging for cell sensing; cancer diagnosis; Surface Enhanced Raman Spectroscopy (SERS)/Imaging; Optical sensors.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues

It is our great pleasure to invite you to submit an article for the Special Issue “Biosensors Technology and Its Application Based on Raman Spectroscopy and Imaging” to be published in Sensors.

Raman spectroscopy (RS) has recently gained interest as a non-invasive, non-destructive, and label-free method for the specific and quantitative investigation of the chemical composition of biological samples. RS has been widely applied for the identification and classification of pathological states of cells and tissues, the imaging of living cells and organisms, the quantitative analysis of the biochemical content of fluids, tissues, and subcellular compartments, as well as for biosensing. In addition to spontaneous Raman spectroscopy, other plasmonic techniques, such as surface-enhanced Raman spectroscopy (SERS) and tip-enhanced Raman spectroscopy (TERS), have allowed the enhancement of low and informative Raman signals for the efficient detection of proteins and molecules. Multiphoton techniques, such as coherent anti-stokes Raman spectroscopy (CARS) and stimulated Raman spectroscopy (SRS), as well as the novel hyperspectral Raman imaging, have allowed the real-time monitoring of cell dynamics. Data managing, data treatment including machine learning, principal component analysis, hierarchical analysis, and image reconstruction mathematical procedures have been developed to enhance and support classification efficiency in Raman biosensing or to improve resolution and velocity in Raman imaging.

We invite Colleagues and expert in the field to submit original research articles, review articles, or perspectives covering both technical developments and applications of Raman spectroscopy and imaging for biosensing.

We look forward to receiving your contribution and welcome your participation in this Special Issue.

Dr. Anna Chiara De Luca
Dr. Stefano Managò
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 in biomedical imaging and sensing 
  • SERS spectroscopic imaging and sensing 
  • Optical sensors for biomarkers 
  • Optical fibers and sensors for biomedicine 
  • Multimodality optical diagnostic systems 
  • TERS, CARS, SRS, hyperspectral imaging applications in biomedicine 
  • Spectral analysis, multivariate analysis 
  • Label-free cellular imaging and cellular dynamics 
  • Portable biosensors 
  • Lab-on-fiber biosensors 
  • In situ diagnostics

Published Papers (2 papers)

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Research

16 pages, 4741 KiB  
Article
Measurement of Secondary Structure Changes in Poly-L-lysine and Lysozyme during Acoustically Levitated Single Droplet Drying Experiments by In Situ Raman Spectroscopy
by Julian F. A. Perlitz, Lukas Gentner, Phillipp A. B. Braeuer and Stefan Will
Sensors 2022, 22(3), 1111; https://0-doi-org.brum.beds.ac.uk/10.3390/s22031111 - 01 Feb 2022
Cited by 5 | Viewed by 1998
Abstract
Drying processes such as spray drying, as commonly used in the pharmaceutical industry to convert protein-based drugs into their particulate form, can lead to an irreversible loss of protein activity caused by protein secondary structure changes. Due to the nature of these processes [...] Read more.
Drying processes such as spray drying, as commonly used in the pharmaceutical industry to convert protein-based drugs into their particulate form, can lead to an irreversible loss of protein activity caused by protein secondary structure changes. Due to the nature of these processes (high droplet number, short drying time), an in situ investigation of the structural changes occurring during a real drying process is hardly possible. Therefore, an approach for the in situ investigation of the expected secondary structural changes during single droplet protein drying in an acoustic levitator by time-resolved Raman spectroscopy was developed and is demonstrated in this paper. For that purpose, a self-developed NIR–Raman sensor generates and detects the Raman signal from the levitated solution droplet. A mathematical spectral reconstruction by multiple Voigt functions is used to quantify the relative secondary structure changes occurring during the drying process. With the developed setup, it was possible to detect and quantify the relative secondary structure changes occurring during single droplet drying experiments for the two chosen model substances: poly-L-lysine, a homopolypeptide widely used as a protein mimic, and lysozyme. Throughout drying, an increase in the β-sheet structure and a decrease in the other two structural elements, α-helix, and random coil, could be identified. In addition, it was observed that the degree of structural changes increased with increasing temperature. Full article
(This article belongs to the Special Issue Biosensors Technology and Its Applications Based on Raman Spectroscopy and Imaging)
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20 pages, 2628 KiB  
Article
Noise Sources and Requirements for Confocal Raman Spectrometers in Biosensor Applications
by Izabella J. Jahn, Alexej Grjasnow, Henry John, Karina Weber, Jürgen Popp and Walter Hauswald
Sensors 2021, 21(15), 5067; https://0-doi-org.brum.beds.ac.uk/10.3390/s21155067 - 27 Jul 2021
Cited by 13 | Viewed by 3150
Abstract
Raman spectroscopy probes the biochemical composition of samples in a non-destructive, non-invasive and label-free fashion yielding specific information on a molecular level. Nevertheless, the Raman effect is very weak. The detection of all inelastically scattered photons with highest efficiency is therefore crucial as [...] Read more.
Raman spectroscopy probes the biochemical composition of samples in a non-destructive, non-invasive and label-free fashion yielding specific information on a molecular level. Nevertheless, the Raman effect is very weak. The detection of all inelastically scattered photons with highest efficiency is therefore crucial as well as the identification of all noise sources present in the system. Here we provide a study for performance comparison and assessment of different spectrometers for confocal Raman spectroscopy in biosensor applications. A low-cost, home-built Raman spectrometer with a complementary metal-oxide-semiconductor (CMOS) camera, a middle price-class mini charge-coupled device (CCD) Raman spectrometer and a laboratory grade confocal Raman system with a deeply cooled CCD detector are compared. It is often overlooked that the sample itself is the most important “optical” component in a Raman spectrometer and its properties contribute most significantly to the signal-to-noise ratio. For this purpose, different representative samples: a crystalline silicon wafer, a polypropylene sample and E. coli bacteria were measured under similar conditions using the three confocal Raman spectrometers. We show that biosensor applications do not in every case profit from the most expensive equipment. Finally, a small Raman database of three different bacteria species is set up with the middle price-class mini CCD Raman spectrometer in order to demonstrate the potential of a compact setup for pathogen discrimination. Full article
(This article belongs to the Special Issue Biosensors Technology and Its Applications Based on Raman Spectroscopy and Imaging)
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