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Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021)

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A special issue of Chemosensors (ISSN 2227-9040).

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 37434

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Prof. Dr. Nicole Jaffrezic-Renault

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Institute of Analytical Sciences, UMR CNRS 5280, Department LSA, 5 Rue de La Doua, 69100 Villeurbanne, France
Interests: biosensors; impedance; immunosensors; conductometric sensors; enzymatic sensors; affinity sensors
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Special Issue Information

Dear Colleagues,

The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021) will be held from 1 to 15 July 2021 (https://sciforum.net/conference/CSAC2021), verifying the great interest of the related community in this conference series. The e-conference will be hosted on sciforum.net, an online platform developed by MDPI for scholarly exchange and collaboration.

During the event, a large number of excellent contributions covering key areas of opportunity and challenge will be presented. More specifically, the following areas will be covered:

Electrochemical devices and sensors
Optical chemical sensors
Mass-sensitive sensors
Materials for chemical sensing
Nano- and micro-technologies for sensing
Chemical assay and validation
Chemical sensor applications
Analytical methods
Gas sensors and apparatus
Electronic noses
Electronic tongues
Microfluidic devices
Lab-on-a-chip
Single-molecule sensing
Nanosensors
Medico-diagnostic testing
Posters

This Special Issue welcomes selected papers from CSAS 2021 that promote and advance this exciting and rapidly changing field.

Submitted contributions will be subjected to peer review and—upon acceptance—will be published with the aim of rapidly and widely disseminating research results, developments, and applications.

It should be noted that submitted manuscripts should have at least 50% additional, new, and unpublished material as compared to the CSAS 2021 published paper.

We look forward to receiving your contributions.

Prof. Dr. Nicole Jaffrezic-Renault
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.

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Published Papers (11 papers)

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16 pages, 4923 KiB

Open AccessArticle

Quantitative Estimation of COD Values from an Array of Metal Nanoparticle Modified Electrodes and Artificial Neural Networks

by Qing Wang, Xavier Cetó and Manel del Valle

Chemosensors 2022, 10(12), 504; https://doi.org/10.3390/chemosensors10120504 - 28 Nov 2022

Cited by 1 | Viewed by 1649

Abstract

Water quality monitoring has become critical in modern societies in multiple areas and at different stages. In this regard, chemical oxygen demand (COD) has become a key index in water testing, as it readily allows the determination of its overall quality and the presence of organic contaminants. However, conventional COD determination presents several drawbacks in view of the use of toxic reagents and possible interferences. The electrochemical determination of COD can be an alternative with many advantages, especially if using an array of sensors. Herein, the use of an electronic tongue (ET) for the estimation of COD was explored. The proposed ET was formed by an array of five voltammetric electrodes modified with different metal nanoparticles. An artificial neural network (ANN) model was built based on the responses of the array towards glucose and glycine as standards. This model was then used with real and spiked water samples, and the results compared to the electrochemical calibration and the commercial COD colorimetric methods. While the COD values of the real samples were low and outside the range of the ANN model, a satisfactory prediction for the spiked samples was achieved, showing a good agreement with the reference colorimetric method, that was better than the performance of the conventional electrochemical calibration method. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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17 pages, 1988 KiB

Open AccessArticle

Point-of-Care Using Vis-NIR Spectroscopy for White Blood Cell Count Analysis

by Teresa Guerra Barroso, Lenio Ribeiro, Hugo Gregório, Filipe Monteiro-Silva, Filipe Neves dos Santos and Rui Costa Martins

Chemosensors 2022, 10(11), 460; https://doi.org/10.3390/chemosensors10110460 - 5 Nov 2022

Cited by 6 | Viewed by 3846

Abstract

Total white blood cells count is an important diagnostic parameter in both human and veterinary medicines. State-of-the-art is performed by flow cytometry combined with light scattering or impedance measurements. Spectroscopy point-of-care has the advantages of miniaturization, low sampling, and real-time hemogram analysis. While white blood cells are in low proportions, while red blood cells and bilirubin dominate spectral information, complicating detection in blood. We performed a feasibility study for the direct detection of white blood cells counts in canine blood by visible-near infrared spectroscopy for veterinary applications, benchmarking current chemometrics techniques (similarity, global and local partial least squares, artificial neural networks and least-squares support vector machines) with self-learning artificial intelligence, introducing data augmentation to overcome the hurdle of knowledge representativity. White blood cells count information is present in the recorded spectra, allowing significant discrimination and equivalence between hemogram and spectra principal component scores. Chemometrics methods correlate white blood cells count to spectral features but with lower accuracy. Self-Learning Artificial Intelligence has the highest correlation (0.8478) and a small standard error of 6.92 × 10

^{9}

cells/L, corresponding to a mean absolute percentage error of 25.37%. Such allows the accurate diagnosis of white blood cells in the range of values of the reference interval (5.6 to 17.8 × 10

^{9}

cells/L) and above. This research is an important step toward the existence of a miniaturized spectral point-of-care hemogram analyzer. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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12 pages, 1263 KiB

Open AccessArticle

Spectroscopic–Electrical Combined Analysis to Assess the Conduction Mechanisms and the Performances of Metal Oxide Gas Sensors

by Ambra Fioravanti, Sara Morandi and Maria Cristina Carotta

Chemosensors 2022, 10(11), 447; https://doi.org/10.3390/chemosensors10110447 - 28 Oct 2022

Cited by 2 | Viewed by 1529

Abstract

Gas sensors that are based on metal oxides are extensively used to detect gaseous compounds in many different applications. One of the main tasks for improving the sensor performances is to understand the mechanism at the base of the sensing properties for each specific material. In this work, pure and mixed oxides were selected and synthesized in the form of nanometric powders. They were characterized by spectroscopic techniques, i.e., absorbance FT–IR and diffuse reflectance UV–Vis–NIR spectroscopies, to obtain information about the electronic properties and the type of defects that are involved at the root of the gas-sensing capabilities. The electrical characterization and the gas-sensing measurements were carried out on the related thick films. Finally, for each material, a description of the specific sensing mechanism is proposed by combining the characterization results. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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9 pages, 1745 KiB

Open AccessArticle

Highly Sensitive Detection of Carbaryl Pesticides Using Potentiometric Biosensor with Nanocomposite Ag/r-Graphene Oxide/Chitosan Immobilized Acetylcholinesterase Enzyme

by Mashuni Mashuni, Halimahtussaddiyah Ritonga, M. Jahiding, Bonni Rubak and Fitri Handayani Hamid

Chemosensors 2022, 10(4), 138; https://doi.org/10.3390/chemosensors10040138 - 7 Apr 2022

Cited by 10 | Viewed by 3214

Abstract

Novel, sensitive, selective, efficient and portable electrochemical biosensors are needed to detect residual contaminants of the pesticide 1-naphthyl methylcarbamate (carbaryl) in the environment, food, and essential biological fluids. In this work, a study of nanocomposite-based Ag reduced graphene oxide (rGO) and chitosan (CS) that optimise surface conditions for immobilisation of acetylcholinesterase (AChE) enzyme to improve the performance of catalytic biosensors is examined. The Ag/rGO/CS nanocomposite membrane was used to determine carbaryl pesticide using a potentiometer transducer. The AChE enzyme-based biosensor exhibits a good affinity for acetylthiocholine chloride (ATCl). It can catalyse the hydrolysis of ATCl with a potential value of 197.06 mV, which is then oxidised to produce a detectable and rapid response. Under optimal conditions, the biosensor detected carbaryl pesticide at concentrations in the linear range of 1.0 × 10⁻⁸ to 1.0 μg mL⁻¹ with a limit of detection (LoD) of 1.0 × 10⁻⁹ μg mL⁻¹. The developed biosensor exhibits a wide working concentration range, detection at low concentrations, high sensitivity, acceptable stability, reproducibility and simple fabrication, thus providing a promising tool for pesticide residue analysis. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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16 pages, 9877 KiB

Open AccessEditor’s ChoiceArticle

Rapid On-Site Detection of Illicit Drugs in Smuggled Samples with a Portable Electrochemical Device

by Marc Parrilla, Amorn Slosse, Robin Van Echelpoel, Noelia Felipe Montiel, Amelia R. Langley, Filip Van Durme and Karolien De Wael

Chemosensors 2022, 10(3), 108; https://doi.org/10.3390/chemosensors10030108 - 11 Mar 2022

Cited by 20 | Viewed by 6125

Abstract

The smuggling of illicit drugs urges the development of new tools for rapid on-site identification in cargos. Current methods rely on presumptive color tests and portable spectroscopic techniques. However, these methods sometimes exhibit inaccurate results due to commonly used cutting agents, the colorful nature of the sample or because the drugs are smuggled in common goods. Interestingly, electrochemical sensors can deal with these specific problems. Herein, an electrochemical device is presented that uses affordable screen-printed electrodes for the electrochemical profiling of several illicit drugs by square-wave voltammetry (SWV). The identification of the illicit compound is based on the oxidation potential of the analyte. Hence, a library of electrochemical profiles is built upon the analysis of illicit drugs and common cutting agents. This library allows the design of a tailor-made script that enables the identification of each drug through a user-friendly interface (laptop or mobile phone). Importantly, the electrochemical test is compared by analyzing 48 confiscated samples with other portable devices based on Raman and FTIR spectroscopy as well as a laboratory standard method (i.e., gas chromatography–mass spectrometry). Overall, the electrochemical results, obtained through the analysis of different samples from confiscated cargos at an end-user site, present a promising alternative to current methods, offering low-cost and rapid testing in the field. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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20 pages, 2888 KiB

Open AccessArticle

A Portable Battery-Operated Sensor System for Simple and Rapid Assessment of Virgin Olive Oil Quality Grade

by Marco Grossi, Enrico Valli, Alessandra Bendini, Tullia Gallina Toschi and Bruno Riccò

Chemosensors 2022, 10(3), 102; https://doi.org/10.3390/chemosensors10030102 - 9 Mar 2022

Cited by 3 | Viewed by 2691

Abstract

Virgin olive oil quality is assessed by chemical as well as sensory analysis. Two of the most important parameters that define the quality of virgin olive oils are the free acidity and the peroxide index. These chemical parameters are usually determined by manual titration procedures that must be carried out in a laboratory by trained personnel. In this paper, a portable sensor system to support the quality grade assessment of virgin olive oil is presented. The system is battery operated and characterized by small dimensions, light weight and quick measurement response (about 30 s). The working principle is based on the measurement of the electrical conductance of an emulsion between a chemical reagent and the olive oil sample. Two different chemical reagents have been investigated: (1) a hydro-alcoholic solution (HAS), made of 60% ethanol and 40% distilled water; (2) 100% distilled water (DW). Tests have been carried out on a set of 40 olive oil samples. The results have shown how, for most of the fresh virgin olive oil samples (31 samples out of 40), the free acidity can be estimated with good accuracy from the electrical conductance of the emulsion using HAS as the reagent. In the case of the full set of samples, the emulsion electrical conductance, using HAS as the reagent, is a function of both the sample free acidity as well as the compounds produced by oil oxidation, and a compensation method based on the measured electrical conductance, using DW as the reagent, has been introduced to improve the accuracy in the estimated free acidity. Tests have also been carried out on the full set of samples, using a k-nearest neighbors algorithm, to demonstrate the feasibility of olive oil classification according to the quality grade. The results have shown how measurements carried out using only the HAS reagent provide better classification accuracy than measurements carried out using both the HAS and DW reagents. The proposed system can be a low-cost alternative to standard laboratory analyses to evaluate the quality grade of virgin olive oil. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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13 pages, 3719 KiB

Open AccessArticle

Self-Referenced Optical Fiber Sensor Based on LSPR Generated by Gold and Silver Nanoparticles Embedded in Layer-by-Layer Nanostructured Coatings

by María Elena Martínez-Hernández, Xabier Sandúa, Pedro J. Rivero, Javier Goicoechea and Francisco J. Arregui

Chemosensors 2022, 10(2), 77; https://doi.org/10.3390/chemosensors10020077 - 13 Feb 2022

Cited by 12 | Viewed by 4269

Abstract

In this work, an optical fiber sensor based on the localized surface plasmon resonance (LSPR) phenomenon has been designed for the detection of two different chemical species (mercury and hydrogen peroxide) by using Layer-by-Layer Embedding (LbL-E) as a nanofabrication technique. In the first step, silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) have been synthesized by using a chemical protocol as a function of the strict control of three main parameters, which were polyelectrolyte concentration, a loading agent, and a reducing agent. In the second step, their incorporation into nanometric thin films have been demonstrated as a function of the number of bilayers, which shows two well-located absorption peaks associated to their LSPR in the visible region at 420 nm (AgNPs) and 530 nm (AuNPs). Finally, both plasmonic peaks provide a stable real-time reference measurement, which can be extracted from the spectral response of the optical fiber sensor, which shows a specific sensing mechanism as a function of the analyte of study. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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11 pages, 2434 KiB

Open AccessArticle

Prediction of Carbonate Selectivity of PVC-Plasticized Sensor Membranes with Newly Synthesized Ionophores through QSPR Modeling

by Nadezhda Vladimirova, Valery Polukeev, Julia Ashina, Vasily Babain, Andrey Legin and Dmitry Kirsanov

Chemosensors 2022, 10(2), 43; https://doi.org/10.3390/chemosensors10020043 - 25 Jan 2022

Cited by 6 | Viewed by 2514

Abstract

Developing a potentiometric sensor with required target properties is a challenging task. This work explores the potential of quantitative structure-property relationship (QSPR) modeling in the prediction of potentiometric selectivity for plasticized polymeric membrane sensors based on newly synthesized ligands. As a case study, we have addressed sensors with selectivity towards carbonate—an important topic for environmental and biomedical studies. Using the logK_sel(HCO₃⁻/Cl⁻) selectivity data on 40 ionophores available in literature and their substructural molecular fragments as descriptors, we have constructed a QSPR model, which has demonstrated reasonable precision in predicting selectivities for newly synthesized ligands sharing similar molecular fragments with those employed for modeling. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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10 pages, 2462 KiB

Open AccessCommunication

Concentration-Dependent Fluorescence Emission of Quercetin

by Tatiana Prutskij, Alexandra Deriabina, Francisco J. Melendez, María Eugenia Castro, Leticia Castillo Trejo, German D. Vazquez Leon, Eduardo Gonzalez and Tatiana S. Perova

Chemosensors 2021, 9(11), 315; https://doi.org/10.3390/chemosensors9110315 - 7 Nov 2021

Cited by 10 | Viewed by 3630

Abstract

Quercetin (Q) is an important antioxidant with high bioactivity and the potential of being used as SARS-CoV-2 inhibitor. The fluorescence (FL) emission from Q solutions made with different polar and non-polar solvents (methanol, acetone, and chloroform) was measured and compared with the FL emission from Q powder and from Q crystals. In the FL spectra of the solutions with high Q concentration, as well as in the spectra of Q in solid state, two features, at 615 nm and 670 nm, were observed. As the solution concentration decreases, the intensity of those peaks decreases and a peak at 505 nm arises. The FL emission of low concentration solutions displayed only that peak. Calculations for the Q molecule in each solvent, performed using time-dependent density functional theory (TDDFT), show that the emission at 505 nm is associated with the excited state intramolecular proton transfer (ESIPT) of the –OH3 group proton. Our calculations also show that the feature at 615 nm, which is observed in solid state Q and also in the emission of the high concentrated solutions, is related to the –OH5 proton transfer. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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13 pages, 1631 KiB

Open AccessCommunication

Mercaptosuccinic-Acid-Functionalized Gold Nanoparticles for Highly Sensitive Colorimetric Sensing of Fe(III) Ions

by Nadezhda S. Komova, Kseniya V. Serebrennikova, Anna N. Berlina, Svetlana M. Pridvorova, Anatoly V. Zherdev and Boris B. Dzantiev

Chemosensors 2021, 9(10), 290; https://doi.org/10.3390/chemosensors9100290 - 14 Oct 2021

Cited by 8 | Viewed by 2916

Abstract

The development of reliable and highly sensitive methods for heavy metal detection is a critical task for protecting the environment and human health. In this study, a qualitative colorimetric sensor that used mercaptosuccinic-acid-functionalized gold nanoparticles (MSA-AuNPs) to detect trace amounts of Fe(III) ions was developed. MSA-AuNPs were prepared using a one-step reaction, where mercaptosuccinic acid (MSA) was used for both stabilization, which was provided by the presence of two carboxyl groups, and functionalization of the gold nanoparticle (AuNP) surface. The chelating properties of MSA in the presence of Fe(III) ions and the concentration-dependent aggregation of AuNPs showed the effectiveness of MSA-AuNPs as a sensing probe with the use of an absorbance ratio of A₅₃₀/A₆₅₀ as an analytical signal in the developed qualitative assay. Furthermore, the obvious Fe(III)-dependent change in the color of the MSA-AuNP solution from red to gray-blue made it possible to visually assess the metal content in a concentration above the detection limit with an assay time of less than 1 min. The detection limit that was achieved (23 ng/mL) using the proposed colorimetric sensor is more than 10 times lower than the maximum allowable concentration for drinking water defined by the World Health Organization (WHO). The MSA-AuNPs were successfully applied for Fe(III) determination in tap, spring, and drinking water, with a recovery range from 89.6 to 126%. Thus, the practicality of the MSA-AuNP-based sensor and its potential for detecting Fe(III) in real water samples were confirmed by the rapidity of testing and its high sensitivity and selectivity in the presence of competing metal ions. Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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28 pages, 7299 KiB

Open AccessReview

Development of Magnetically Soft Amorphous Microwires for Technological Applications

by Valentina Zhukova, Paula Corte-Leon, Juan Maria Blanco, Mihail Ipatov, Lorena Gonzalez-Legarreta, Alvaro Gonzalez and Arcady Zhukov

Chemosensors 2022, 10(1), 26; https://doi.org/10.3390/chemosensors10010026 - 7 Jan 2022

Cited by 21 | Viewed by 3022

Abstract

Amorphous magnetic microwires can be suitable for a variety of technological applications due to their excellent magnetic softness and giant magnetoimpedance (GMI) effect. Several approaches for optimization of soft magnetic properties and GMI effect of magnetic microwires covered with an insulating, flexible, and biocompatible glass coating with tunable magnetic properties are overviewed. The high GMI effect and soft magnetic properties, achieved even in as-prepared Co-rich microwires with a vanishing magnetostriction coefficient, can be further improved by appropriate heat treatment (including stress-annealing and Joule heating). Although as-prepared Fe-rich amorphous microwires exhibit low GMI ratio and rectangular hysteresis loops, stress-annealing, Joule heating, and combined stress-annealed followed by conventional furnace annealing can substantially improve the GMI effect (by more than an order of magnitude). Full article

(This article belongs to the Special Issue Selected Papers from 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021))

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