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Colorimetric Sensors: Methods and Applications (2nd Edition)
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Colorimetric Sensors: Methods and Applications (2nd Edition)

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1459

Special Issue Editors

Prof. Dr. Fengqing Yang

E-Mail Website
Guest Editor
School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China
Interests: chromatographic analysis; spectroscopic analysis; enzyme immobilizations and applications; preparation and applications of materials with enzyme-like activity
Special Issues, Collections and Topics in MDPI journals
Dr. Liya Ge

E-Mail Website
Guest Editor
Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore
Interests: analytical and bioanalytical chemistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Colorimetric sensors have attracted considerable attention for many sensing applications due to the potential for rapid analysis, cost effectiveness, ease of use, simple detection systems, or even naked-eye observations. Currently, a number of colorimetric sensors have been developed for the sensing of small molecules, including cations, anions, and neutral species and essential cellular components related to human living systems in solutions and biological samples, as well as therapeutic and diagnostic applications. In this Special Issue, we will take particular interest in manuscripts that discuss the principles and mechanisms, fabrication methods, and relevant applications in various fields of colorimetric sensors. We invite authors to contribute original research and review articles that will stimulate more basic research on the development of colorimetric sensors.

Potential topics suitable for this Special Issue include, but are not limited to, the following: colorimetric sensing principles and mechanisms; nanomaterials for colorimetric (bio)sensors for biomedical applications; paper-based colorimetric sensors; colorimetric sensors toward cations, anions, and biomolecules; and colorimetric strips.

Prof. Dr. Fengqing Yang
Dr. Liya Ge
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

  • colorimetric sensors
  • paper-based colorimetric sensors
  • chemical sensors
  • biosensors
  • colorimetric strips
  • colorimetric sensing arrays

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Published Papers (2 papers)

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Research

16 pages, 6282 KiB  
Article
Color QR Codes for Smartphone-Based Analysis of Free Chlorine in Drinking Water
by María González-Gómez, Ismael Benito-Altamirano, Hanna Lizarzaburu-Aguilar, David Martínez-Carpena, Joan Daniel Prades and Cristian Fàbrega
Sensors 2025, 25(11), 3251; https://doi.org/10.3390/s25113251 - 22 May 2025
Viewed by 226
Abstract
Free chlorine (FC) plays a crucial role in ensuring the safety of drinking water by effectively inactivating pathogenic microorganisms. However, traditional methods for measuring FC levels often require specialized equipment and laboratory settings, limiting their accessibility and practicality for on-site or point-of-use monitoring. [...] Read more.
Free chlorine (FC) plays a crucial role in ensuring the safety of drinking water by effectively inactivating pathogenic microorganisms. However, traditional methods for measuring FC levels often require specialized equipment and laboratory settings, limiting their accessibility and practicality for on-site or point-of-use monitoring. QR Codes are powerful machine-readable patterns that are used worldwide to encode information (i.e., URLs or IDs), but their computer vision features allow QR Codes to act as carriers of other features for several applications. Often, this capability is used for aesthetics, e.g., embedding a logo in the QR Code. In this work, we propose using our technique to build back-compatible Color QR Codes, which can embed dozens of colorimetric references, to assist in the color correction to readout sensors. Specifically, we target two well-known products in the HORECA (hotel/restaurant/café) sector that qualitatively measure chlorine levels in samples of water. The two targeted methods were a BTB strip and a DPD powder. First, the BTB strip was a pH-based indicator distributed by Sensafe®, which uses the well-known bromothymol blue as a base-reactive indicator; second, the DPD powder was a colorimetric test distributed by Hach®, which employs diethyl-p-phenylenediamine (DPD) to produce a pink coloration in the presence of free chlorine. Custom Color QR Codes were created for both color palettes and exposed to several illumination conditions, captured with three different mobile devices and tested over different water samples. Results indicate that both methods could be correctly digitized in real-world conditions with our technology, rendering a 88.10% accuracy for the BTB strip measurement, and 84.62% for the DPD powder one. Full article
(This article belongs to the Special Issue Colorimetric Sensors: Methods and Applications (2nd Edition))
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18 pages, 3506 KiB  
Article
Colorimetric 3D microPAD for Multiplexed Detection of Paracetamol and Aspirin in Urine and Saliva
by Alberto Abalde-Pujales, Vanesa Romero, Isela Lavilla and Carlos Bendicho
Sensors 2025, 25(6), 1756; https://doi.org/10.3390/s25061756 - 12 Mar 2025
Viewed by 631
Abstract
In this work, a novel 3D μPAD cellulose-based colorimetric chemosensor for multiplexed detection of paracetamol and aspirin in biological samples is proposed. The easy availability of analgesics such as paracetamol and non-steroidal anti-inflammatory drugs such as aspirin, over-the-counter drugs that can be acquired [...] Read more.
In this work, a novel 3D μPAD cellulose-based colorimetric chemosensor for multiplexed detection of paracetamol and aspirin in biological samples is proposed. The easy availability of analgesics such as paracetamol and non-steroidal anti-inflammatory drugs such as aspirin, over-the-counter drugs that can be acquired without medical prescription, can entail a health problem if they are administered incorrectly. The development of analytical procedures for the rapid, sensitive, and accurate determination of such drugs in clinical samples is of utmost importance. Different parameters involved in the design of the 3D μPAD system and the colorimetric reaction conditions have been optimized. Under optimal conditions, detection limits of 0.004 mM and 0.013 mM were obtained for paracetamol and aspirin, respectively. The proposed procedure was validated against two certified reference materials and applied to the analysis of several synthetic urine and saliva samples. Synthetic urine and saliva samples were spiked at two concentration levels, showing recoveries in the range of 98–103% with a relative standard deviation of 3–6% (n = 6). Full article
(This article belongs to the Special Issue Colorimetric Sensors: Methods and Applications (2nd Edition))
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