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Chemosensors
Special Issues
The Recent Progress and Applications of Optical Chemical Sensors
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The Recent Progress and Applications of Optical Chemical Sensors

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Optical Chemical Sensors".

Deadline for manuscript submissions: 30 May 2024 | Viewed by 1669

Special Issue Editor

Dr. Gleiston Goncalves Dias

E-Mail
Guest Editor
Institute of Chemistry, The State University of Campinas, Campinas 13083-862, SP, Brazil
Interests: optical sensors; molecular logic gate; bioimaging; medicinal chemistry; catalysis; organic synthesis

Special Issue Information

Dear Colleagues,

Curiosity about the chemical composition of matter evolved into a necessity when it was realized that some chemical compounds are a threat to health and safety while others can be important warning signs. Therefore, methods for identifying and quantifying these constituents have been developed over the years. Among these methods, the use of optical chemical sensors has stood out for their selectivity, precision, accuracy, versatility, low limits of detection and quantification, and more.

The fields of application of these optical devices are vast. These include, for example, application in the monitoring of substances (cations, anions, molecules, gases, toxins, etc.) mainly related to health and the environment; in biological studies (monitoring of biophysical parameters, biomolecules, and processes); in medicinal chemistry (probes, guided surgery, biomarkers, bioimaging); and in forensic science (drug identification, adulteration), among many others.

Although many advances in this field have been made in the last few decades, the journey continues as there are still countless chemical species and processes to be monitored using optical sensors. Furthermore, these sensors still need to be improved to become increasingly efficient.

In this context, it is my pleasure to introduce the Special Issue of Chemosensors entitled "The Recent Progress and Applications of Optical Chemical Sensors". You are invited to submit original and review articles to compose a Special Issue that will address the state of the art in the field of optical chemical sensors. This Special Issue includes, but is not limited to, the following topics:

  • Optical sensors in general: materials, nanomaterials, small molecules, polymers, MOFs, etc.;
  • Chemosensors, chemodosimeters, molecular logic gates as optical devices, etc.;
  • Optical sensors for detection of chemical species in general: ions, molecules, metabolites, etc.;
  • Optical sensors for monitoring physical parameters: humidity, temperature, etc.;
  • Biological applications of optical chemical sensors: biosensors, biomarkers, diagnostics, bioimaging, enzyme activity, biomolecules.

Dr. Gleiston Goncalves Dias
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. Chemosensors 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 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

  • optical sensors
  • fluorescence
  • colorimetric methods
  • chemosensor
  • chemodosimeter
  • bioimaging
  • probes
  • materials

Published Papers (1 paper)

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Research

12 pages, 3101 KiB  
Article
The Rapid Determination of Three Toxic Ginkgolic Acids in the Decolorized Process of Ginkgo Ketone Ester Based on Raman Spectroscopy and ResNeXt50 Deep Neural Network
by Qing Liu, Meifang Jiang, Jun Wang, Dandan Wang and Yi Tao
Chemosensors 2024, 12(1), 6; https://doi.org/10.3390/chemosensors12010006 - 31 Dec 2023
Cited by 1 | Viewed by 1374
Abstract
The decolorization process plays a pivotal role in refining Ginkgo ketone ester by primarily eliminating ginkgolic acids, a toxic component. Presently, the conventional testing method involves sending samples for analysis, causing delays that impact formulation production. Hence, the development of a rapid process [...] Read more.
The decolorization process plays a pivotal role in refining Ginkgo ketone ester by primarily eliminating ginkgolic acids, a toxic component. Presently, the conventional testing method involves sending samples for analysis, causing delays that impact formulation production. Hence, the development of a rapid process control method becomes imperative. This study introduces a swift detection approach for three ginkgolic acids during Ginkgo ketone ester’s decolorization. Initially, an ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method assessed ginkgolic acid C13:0, ginkgolic acid C15:1, and ginkgolic acid C17:1 concentrations in 91 decolorized solution samples, establishing reference values. Subsequently, using a portable Raman spectrometer, Raman spectra of the decolorized liquid within the 3200–200 cm−1 wavelength range were collected. Ultimately, employing partial least squares regression (PLSR) and ResNeXt50 deep learning algorithms, two quantitative calibration models correlated the ginkgolic acid content to Raman spectral data. Both models exhibited high predictive accuracy, with the ResNeXt50 model demonstrating superior performance. The prediction set correlation coefficients (Rp2) for ginkgolic acid C13:0, ginkgolic acid C15:1, and ginkgolic acid C17:1 were 0.9962, 0.9971, and 0.9974, respectively, with root mean square error of prediction (RMSEP) values of 0.0144, 0.0130, and 0.0122 μg/mL. In contrast, the PLSR model yielded Rp2 values of 0.9862, 0.9839, and 0.9480, with RMSEP values of 0.0273, 0.0305, and 0.0545 μg/mL for the three ginkgolic acids. The ResNeXt50 model not only showcased higher precision but also enhanced interpretability, as analyzed through gradient-weighted class activation mapping (Grad-CAM). The integration of Raman spectroscopy and the ResNeXt50 quantitative calibration model furnishes a real-time and precise approach to monitor ginkgolic acid content in the decolorized solution during Ginkgo ketone ester preparation. This significant advancement establishes a robust framework for implementing quality control measures in the decolorization process. Full article
(This article belongs to the Special Issue The Recent Progress and Applications of Optical Chemical Sensors)
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