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Molecules
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Raman Spectroscopy for Biological Applications
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Raman Spectroscopy for Biological Applications

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: 16 July 2024 | Viewed by 1002

Special Issue Editor

Dr. Guohua Qi

E-Mail Website
Guest Editor
Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
Interests: biosensing; nanomedicine; electrical stimulation for biomedical applications; surface-enhanced Raman spectroscopy

Special Issue Information

Dear Colleagues,

Raman spectra such as the fingerprint spectrum are widely applied for biological and biomedical applications due to their excellent molecular specificity. This has led to rapid development in the identification of microbial species and monitoring of the microbial growth process. Simultaneously, surface-enhanced Raman spectroscopy has also played an important role for the diagnosis and treatment of disease, tissue engineering, surgery and so on. This Special Issue of Molecules aims to provide a platform for Raman researchers and SERS scientists to disseminate their results of biological applications. Any contributions related to Raman and SERS development for microorganism, cell, in vivo, and drug delivery and tissue engineering are all welcome. We welcome the submission of original research articles, reviews, and short communications.

Dr. Guohua Qi
Guest Editor

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. Molecules 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 2700 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
  • microorganism
  • cell
  • SERS biosensing
  • liquid biopsy
  • SERS for in vivo

Published Papers (1 paper)

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Research

11 pages, 2296 KiB  
Article
Non-Invasive Detection of Biomolecular Abundance from Fermentative Microorganisms via Raman Spectra Combined with Target Extraction and Multimodel Fitting
by Xinli Li, Suyi Li and Qingyi Wu
Molecules 2024, 29(1), 157; https://doi.org/10.3390/molecules29010157 - 27 Dec 2023
Viewed by 806
Abstract
Biomolecular abundance detection of fermentation microorganisms is significant for the accurate regulation of fermentation, which is conducive to reducing fermentation costs and improving the yield of target products. However, the development of an accurate analytical method for the detection of biomolecular abundance still [...] Read more.
Biomolecular abundance detection of fermentation microorganisms is significant for the accurate regulation of fermentation, which is conducive to reducing fermentation costs and improving the yield of target products. However, the development of an accurate analytical method for the detection of biomolecular abundance still faces important challenges. Herein, we present a non-invasive biomolecular abundance detection method based on Raman spectra combined with target extraction and multimodel fitting. The high gain of the eXtreme Gradient Boosting (XGBoost) algorithm was used to extract the characteristic Raman peaks of metabolically active proteins and nucleic acids within E. coli and yeast. The test accuracy for different culture times and cell cycles of E. coli was 94.4% and 98.2%, respectively. Simultaneously, the Gaussian multi-peak fitting algorithm was exploited to calculate peak intensity from mixed peaks, which can improve the accuracy of biomolecular abundance calculations. The accuracy of Gaussian multi-peak fitting was above 0.9, and the results of the analysis of variance (ANOVA) measurements for the lag phase, log phase, and stationary phase of E. coli growth demonstrated highly significant levels, indicating that the intracellular biomolecular abundance detection was consistent with the classical cell growth law. These results suggest the great potential of the combination of microbial intracellular abundance, Raman spectra analysis, target extraction, and multimodel fitting as a method for microbial fermentation engineering. Full article
(This article belongs to the Special Issue Raman Spectroscopy for Biological Applications)
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