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Advanced Spectral Imaging System and Colorimetric Sensors
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Advanced Spectral Imaging System and Colorimetric Sensors

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2779

Special Issue Editor

Prof. Dr. Antonio Martínez Olmos

E-Mail Website
Guest Editor
Department of Electronics and Computer Technology, University of Granada, 18071 Granada, Spain
Interests: electronic instrumentation; optical sensors; environmental analysis; electrical capacitance tomography; multispectral analysis

Special Issue Information

Dear Colleagues,

Chemical analysis based on spectral and color changes recorded with imaging devices is gaining interest. This is due to its several significant advantages, such as simplicity of use, and the fact that it is easily combinable with portable and widely distributed imaging devices, resulting in friendly analytical procedures in many areas that demand out-of-lab applications for in situ and real-time monitoring. The evolution of miniaturized electronic components such as microprocessors and microcontrollers, optical devices, image sensors, etc., has allowed for the development of portable instrumentation aimed to carry out this kind of analysis with high-level performance.

This Special Issue invites original research papers and review articles aiming to discuss the key points of the development and the use of portable spectral imaging system and colorimetric sensors.

Prof. Dr. Antonio Martínez Olmos
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. 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

  • Portable instrumentation
  • Color sensors
  • (Multi)Spectral analysis
  • Remote sensing
  • Chemical analysis
  • Environmental control
  • Electronic
  • Imaging

Published Papers (1 paper)

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Research

20 pages, 4309 KiB  
Article
Multispectral Mid-Infrared Camera System for Accurate Stand-Off Temperature and Column Density Measurements on Flames
by Juan Meléndez and Guillermo Guarnizo
Sensors 2021, 21(24), 8395; https://0-doi-org.brum.beds.ac.uk/10.3390/s21248395 - 16 Dec 2021
Cited by 1 | Viewed by 2288
Abstract
Accurate measurement of temperature in flames is a challenging problem that has been successfully addressed by hyperspectral imaging. This technique is able to provide maps of not only temperature T (K) but also of column density Q (ppm·m) of the main [...] Read more.
Accurate measurement of temperature in flames is a challenging problem that has been successfully addressed by hyperspectral imaging. This technique is able to provide maps of not only temperature T (K) but also of column density Q (ppm·m) of the main chemical species. Industrial applications, however, require cheaper instrumentation and faster and simpler data analysis. In this work, the feasibility and performance of multispectral imaging for the retrieval of T and QCO2 in flames are studied. Both the hyperspectral and multispectral measurement methods are described and applied to a standard flame, with known T and QCO2, and to an ordinary Bunsen flame. Hyperspectral results, based on emission spectra with 0.5 cm−1 resolution, were found in previous works to be highly accurate, and are thus considered as the ground truth to compare with multispectral measurements of a mid-IR camera (3 to 5 μm) with a six interference filter wheel. Maps of T and Q obtained by both methods show that, for regions with T ≳1300 K, the average of relative errors in multispectral measurements is ∼5% for T (and can be reduced to ∼2.5% with a correction based on a linear regression) and ∼20% for Q. Results obtained with four filters are very similar; results with two filters are also similar for T but worse for Q. Full article
(This article belongs to the Special Issue Advanced Spectral Imaging System and Colorimetric Sensors)
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