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Yu S, Tang C, Yu S, Li W, Wang J, Liu Z, Yan X, Wang L, Yang Y, Feng J, Wu J, Zhang K, Guan H, Liu Y, Zhang S, Sun X, Peng H. A Biodegradable Fiber Calcium Ion Sensor by Covalently Bonding Ionophores on Bioinert Nanoparticles. Adv Healthc Mater 2024; 13:e2400675. [PMID: 38843486 DOI: 10.1002/adhm.202400675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/21/2024] [Indexed: 06/13/2024]
Abstract
Implantable sensors, especially ion sensors, facilitate the progress of scientific research and personalized healthcare. However, the permanent retention of implants induces health risks after sensors fulfill their mission of chronic sensing. Biodegradation is highly anticipated; while; biodegradable chemical sensors are rare due to concerns about the leakage of harmful active molecules after degradation, such as ionophores. Here, a novel biodegradable fiber calcium ion sensor is introduced, wherein ionophores are covalently bonded with bioinert nanoparticles to replace the classical ion-selective membrane. The fiber sensor demonstrates comparable sensing performance to classical ion sensors and good flexibility. It can monitor the fluctuations of Ca2+ in a 4-day lifespan in vivo and biodegrade in 4 weeks. Benefiting from the stable bonding between ionophores and nanoparticles, the biodegradable sensor exhibits a good biocompatibility after degradation. Moreover, this approach of bonding active molecules on bioinert nanoparticles can serve as an effective methodology for minimizing health concerns about biodegradable chemical sensors.
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Affiliation(s)
- Sihui Yu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Chengqiang Tang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Sijia Yu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Wenjun Li
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Jiajia Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Ziwei Liu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Xinheng Yan
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Liyuan Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Yiqing Yang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Jiaqi Wu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Kailin Zhang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Hang Guan
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Yue Liu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Songlin Zhang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China
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Alfieri G, Modesti M, Riggi R, Bellincontro A. Recent Advances and Future Perspectives in the E-Nose Technologies Addressed to the Wine Industry. SENSORS (BASEL, SWITZERLAND) 2024; 24:2293. [PMID: 38610504 PMCID: PMC11014050 DOI: 10.3390/s24072293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024]
Abstract
Electronic nose devices stand out as pioneering innovations in contemporary technological research, addressing the arduous challenge of replicating the complex sense of smell found in humans. Currently, sensor instruments find application in a variety of fields, including environmental, (bio)medical, food, pharmaceutical, and materials production. Particularly the latter, has seen a significant increase in the adoption of technological tools to assess food quality, gradually supplanting human panelists and thus reshaping the entire quality control paradigm in the sector. This process is happening even more rapidly in the world of wine, where olfactory sensory analysis has always played a central role in attributing certain qualities to a wine. In this review, conducted using sources such as PubMed, Science Direct, and Web of Science, we examined papers published between January 2015 and January 2024. The aim was to explore prevailing trends in the use of human panels and sensory tools (such as the E-nose) in the wine industry. The focus was on the evaluation of wine quality attributes by paying specific attention to geographical origin, sensory defects, and monitoring of production trends. Analyzed results show that the application of E-nose-type sensors performs satisfactorily in that trajectory. Nevertheless, the integration of this type of analysis with more classical methods, such as the trained sensory panel test and with the application of destructive instrument volatile compound (VOC) detection (e.g., gas chromatography), still seems necessary to better explore and investigate the aromatic characteristics of wines.
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Affiliation(s)
| | | | | | - Andrea Bellincontro
- Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy; (G.A.); (M.M.); (R.R.)
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Solid-state ion-selective electrodes for the first potentiometric determination of the anti-COVID 19 drug Remdesivir in human plasma; A comparative study. Microchem J 2023; 190:108658. [PMID: 36970552 PMCID: PMC10028218 DOI: 10.1016/j.microc.2023.108658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 03/07/2023] [Accepted: 03/14/2023] [Indexed: 03/24/2023]
Abstract
Establishing sensitive and targeted analytical methodologies for drug identification in biological fluids as well as screening of treatments that can counteract the most severe COVID-19 infection-related side effects are of utmost importance. Here, first attempts have been made for determination of the anti-COVID drug Remdesivir (RDS) in human plasma using four potentiometric sensors. Calixarene-8 (CX8) was used as an ionophore applied to the first electrode (Sensor I). The second had a layer of dispersed graphene nanocomposite coating (Sensor II). (Sensor III) was fabricated using nanoparticles of polyaniline (PANI) as ion-to–electron transducer. A reverse-phase polymerization using polyvinylpyrrolidone (PVP) was employed to create a graphene-polyaniline (G/PANI) nanocomposite electrode (Sensor IV). Surface morphology was confirmed by Scanning Electron Microscope (SEM). UV absorption spectra and Fourier Transform Ion Spectrophotometry (FTIR) also supported their structural characterization. The impact of graphene and polyaniline integration on the functionality and durability of the manufactured sensors was examined using the water layer test and signal drift. In the ranges of concentration of 10−7 to 10−2 mol/L and 10−7 to 10−3, sensors II & IV exhibited linear responses; respectively while sensors I & III displayed linearity within 10−6 to 10−2 mol/L. The target drug was easily detectable using LOD down to 100 nmol/L. The developed sensors satisfactorily offered sensitive, stable, selective and accurate estimate of Remdesivir (RDS) in its pharmaceutical formulation as well as spiked human plasma with recoveries ranging from 91.02 to 95.76 % with average standard deviations less than 1.85. The suggested procedure was approved in accordance with ICH recommendations.
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Neo ZH, Seah GEKK, Ng SH, Safanama D, Seng DHL, Goh SS. Solution-Printable PEDOT Solid-Contact for Nitrate-Selective Electrodes: Enhanced Selectivity from Anion Dopant Exchange. Anal Chem 2022; 94:15956-15963. [DOI: 10.1021/acs.analchem.2c02119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Zhi Hao Neo
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
| | - Georgina E. K. K. Seah
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
| | - Shi Hoe Ng
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
| | - Dorsasadat Safanama
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
| | - Debbie H. L. Seng
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
| | - Shermin S. Goh
- Institute of Material Research and Engineering, A*STAR (Agency for Science, Technology and Research) Research Entities, 2 Fusionopolis Way, Innovis #08-03, Singapore138634, Singapore
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A Review on the Application of Chemometrics and Machine Learning Algorithms to Evaluate Beer Authentication. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01864-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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6
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Optimization of Sensors to be Used in a Voltammetric Electronic Tongue Based on Clustering Metrics. SENSORS 2020; 20:s20174798. [PMID: 32854411 PMCID: PMC7506631 DOI: 10.3390/s20174798] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/20/2020] [Accepted: 08/21/2020] [Indexed: 11/17/2022]
Abstract
Herein we investigate the usage of principal component analysis (PCA) and canonical variate analysis (CVA), in combination with the F factor clustering metric, for the a priori tailored selection of the optimal sensor array for a given electronic tongue (ET) application. The former allows us to visually compare the performance of the different sensors, while the latter allows us to numerically assess the impact that the inclusion/removal of the different sensors has on the discrimination ability of the ET. The proposed methodology is based on the measurement of a pure stock solution of each of the compounds under study, and the posterior analysis by PCA/CVA with stepwise iterative removal of the sensors that demote the clustering when retained as part of the array. To illustrate and assess the potential of such an approach, the quantification of paracetamol, ascorbic acid, and uric acid mixtures were chosen as the study case. Initially, an array of eight different electrodes was considered, from which an optimal array of four sensors was derived to build the quantitative ANN model. Finally, the performance of the optimized ET was benchmarked against the results previously reported for the analysis of the same mixtures, showing improved performance.
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Jozanović M, Sakač N, Karnaš M, Medvidović-Kosanović M. Potentiometric Sensors for the Determination of Anionic Surfactants - A Review. Crit Rev Anal Chem 2019; 51:115-137. [PMID: 31690085 DOI: 10.1080/10408347.2019.1684236] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Anionic surfactants are important components of many products used in everyday life in all households. They are also applied in various industrial fields at a very large scale. Since they have a negative influence on the environment, it is an imperative to monitor their concentration in aquatic ecosystems. Therefore, it is of great importance to develop new methods for the determination of a wide spectra of anionic surfactants in complex environmental samples in a short time. A comprehensive review of potentiometric sensors for the determination of anionic surfactants in the last 50 years is given with special concern to papers published since 2000, but noting some earlier published important papers. The latest development in use of new ionophores, polymer formulations, and nanomaterials is presented. Additionally, the application of new potentiometric sensors in batch mode or in miniaturized microfluidic methods is discussed.
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Affiliation(s)
- Marija Jozanović
- Department of Chemistry, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Nikola Sakač
- Faculty of Geotechnical Engineering, University of Zagreb, Varaždin, Croatia
| | - Maja Karnaš
- Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
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Parshina AV, Titova TS, Evdokimova DD, Bobreshova OV, Safronova EY, Prikhno IA, Yaroslavtsev AB. Hybrid Materials Based on MF-4SC Membranes and Carbon Nanotubes: Transport Properties and Characteristics of DP-sensors in Hydrophobic Amino Acid Solutions. MEMBRANES AND MEMBRANE TECHNOLOGIES 2019. [DOI: 10.1134/s2517751619040073] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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9
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Synthesis of Tris-pillar[5]arene and Its Association with Phenothiazine Dye: Colorimetric Recognition of Anions. Molecules 2019; 24:molecules24091807. [PMID: 31083290 PMCID: PMC6539510 DOI: 10.3390/molecules24091807] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 04/29/2019] [Accepted: 05/08/2019] [Indexed: 12/25/2022] Open
Abstract
A multicyclophane with a core based on tris(2-aminoethyl)amine (TREN) linked by amide spacers to three fragments of pillar[5]arene was synthesized. The choice of the tris-amide core allowed the multicyclophane to bind to anion guests. The presence of three terminal pillar[5]arene units provides the possibility of effectively binding the colorimetric probe N-phenyl-3-(phenylimino)-3H-phenothiazin-7-amine (PhTz). It was established that the multicyclophane complexed PhTz in chloroform with a 1:1 stoichiometry (lgKa = 5.2 ± 0.1), absorbing at 650 nm. The proposed structure of the complex was confirmed by 1H-NMR spectroscopy: the amide group linking the pillar[5]arene to the TREN core forms a hydrogen bond with the PhTz imino-group while the pillararenes surround PhTz. It was established that the PhTz:tris-pillar[5]arene complex could be used as a colorimetric probe for fluoride, acetate, and dihydrogen phosphate anions due to the anion binding with proton donating amide groups which displaced the PhTz probe. Dye displacement resulted in a color change from blue to pink, lowering the absorption band at 650 nm and increasing that at 533 nm.
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Apel PY, Bobreshova OV, Volkov AV, Volkov VV, Nikonenko VV, Stenina IA, Filippov AN, Yampolskii YP, Yaroslavtsev AB. Prospects of Membrane Science Development. MEMBRANES AND MEMBRANE TECHNOLOGIES 2019. [DOI: 10.1134/s2517751619020021] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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11
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Khadieva AI, Gorbachuk VV, Evtugyn GA, Belyakova SV, Latypov RR, Drobyshev SV, Stoikov II. Phenyliminophenothiazine based self-organization of polyaniline nanowires and application as redox probe in electrochemical sensors. Sci Rep 2019; 9:417. [PMID: 30674972 PMCID: PMC6344644 DOI: 10.1038/s41598-018-36937-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 11/30/2018] [Indexed: 01/19/2023] Open
Abstract
Synthesis and application of nanostructured materials applicable in the assembly of electrochemical sensors is one of the important trends in material sciences and analytical chemistry. In this work, we have proposed and implemented simple non-template method for assembling nanofibers from the polyaniline ultrasonicated with phenyliminophenothiazine in aqueous media. Two-step procedure including association with emeraldine dispersion and reorganization under ultrasonication led to formation of nanofibrillar structures with average diameter of 20 nm. UV-spectroscopy confirms that association of phenyliminophenothiazine and polyaniline in acidic medium resulted in an intense absorption band at 900–910 nm due to donor-acceptor interaction between the reactants. The material combined emeraldine charge transmission with redox activity of phenyliminophenothiazine was found promising for electrochemical sensing. It was confirmed by comparison of characteristics of appropriate solid-contact sensors based on emeraldine and phenyliminophenothiazine toward Fe(III) ions, ascorbic acid and hydroquinone. In all the cases, the use of phenyliminophenothiazine results in a wider concentration range and more reproducible signal against characteristics of similar sensor based on polyaniline. The applicability of the sensor was confirmed by determination of iron content in commercial medication.
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Affiliation(s)
- Alena I Khadieva
- A.M. Butlerov Institute of Chemistry of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation
| | - Vladimir V Gorbachuk
- A.M. Butlerov Institute of Chemistry of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation
| | - Gennady A Evtugyn
- A.M. Butlerov Institute of Chemistry of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation
| | - Svetlana V Belyakova
- A.M. Butlerov Institute of Chemistry of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation
| | - Ruslan R Latypov
- Institute of Physics of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation
| | - Sergey V Drobyshev
- Kazan National Research Technical University named after A. N. Tupolev - KAI, K. Marx Street, 10, Kazan, 420111, Russian Federation
| | - Ivan I Stoikov
- A.M. Butlerov Institute of Chemistry of Kazan Federal University, 420008, Kremlevskaya, 18, Kazan, 420008, Russian Federation.
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Padnya PL, Porfireva AV, Evtugyn GA, Stoikov II. Solid Contact Potentiometric Sensors Based on a New Class of Ionic Liquids on Thiacalixarene Platform. Front Chem 2018; 6:594. [PMID: 30538984 PMCID: PMC6277689 DOI: 10.3389/fchem.2018.00594] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 11/13/2018] [Indexed: 11/18/2022] Open
Abstract
New solid-contact potentiometric sensors have been developed for hydrogen phosphate recognition on the basis of ionic liquids containing tetrasubstituted derivatives of thiacalix[4]arene in cone and 1,3-alternate conformations with trimethyl- and triethylammonium fragments at the lower rim substituents. The recognition of selected anions including carbonate, hydrogen phosphate, perchlorate, oxalate, picrate, and EDTA was conducted using electrochemical impedance spectroscopy with ferricyanide redox probe. For the potentiometric sensor assembling, the ionic liquids were stabilized by multiwalled carbon nanotubes and carbon black deposited on the glassy carbon electrode. The influence of support, steric factors and modification conditions on the sensor performance has been investigated. As was shown, potentiometric sensors developed make it possible to selectively determine hydrogen phosphate anion within the concentration range from 1 × 10−2 to 1 × 10−6 M and limit of detection of 2 × 10−7−1 × 10−6 M with unbiased selectivity coefficients varied from 1.2 × 10−1 to 1.0 × 10−8 (carbonate, acetate, oxalate, succinate, glutharate, glycolate, and malonate anions).
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Affiliation(s)
- Pavel L Padnya
- Department of Organic Chemistry, A. M. Butlerov' Chemistry Institute, Kazan Federal University, Kazan, Russia
| | - Anna V Porfireva
- Department of Analytical Chemistry, A. M. Butlerov' Chemistry Institute, Kazan Federal University, Kazan, Russia
| | - Gennady A Evtugyn
- Department of Analytical Chemistry, A. M. Butlerov' Chemistry Institute, Kazan Federal University, Kazan, Russia
| | - Ivan I Stoikov
- Department of Organic Chemistry, A. M. Butlerov' Chemistry Institute, Kazan Federal University, Kazan, Russia
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Scalia A, Varzi A, Lamberti A, Jacob T, Passerini S. Portable High Voltage Integrated Harvesting-Storage Device Employing Dye-Sensitized Solar Module and All-Solid-State Electrochemical Double Layer Capacitor. Front Chem 2018; 6:443. [PMID: 30320074 PMCID: PMC6167942 DOI: 10.3389/fchem.2018.00443] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 09/07/2018] [Indexed: 11/13/2022] Open
Abstract
A dye-sensitized solar module (DSSM) and a high voltage all-solid-state electrochemical double layer capacitor (EDLC) are, for the first time, implemented in a compact Harvesting-Storage (HS) device. Conductive glass is employed as current collecting substrate for both DSSM and EDLC, leading to a robust and portable final structure. The photovoltaic section is constituted by a 4 series cells W-type module, while in the storage section an EDLC employing an ionic liquid-based polymeric electrolyte (a mixture of polyethylene oxide and N-butyl-N-methylpyrrolidinium bis(trifluoromethanesulfonyl)imide, PEO-Pyr14TFSI) and activated carbon electrodes is used. The solid state EDLC is first characterized individually to determine its electrochemical performance before successfully proving the integration with the DSSM. The harvesting-storage properties of the integrated photo-capacitor are evaluated through photo-charge and subsequent discharge protocols performed at two different discharge currents, showing that in this configuration the EDLC unit can be effectively charged up to 2.45 V.
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Affiliation(s)
- Alberto Scalia
- Helmholtz Institute Ulm (HIU), Ulm, Germany.,Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.,Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy
| | - Alberto Varzi
- Helmholtz Institute Ulm (HIU), Ulm, Germany.,Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
| | - Andrea Lamberti
- Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy
| | - Timo Jacob
- Helmholtz Institute Ulm (HIU), Ulm, Germany.,Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.,Institute of Electrochemistry, Ulm University, Ulm, Germany
| | - Stefano Passerini
- Helmholtz Institute Ulm (HIU), Ulm, Germany.,Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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14
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Lvova L, Yaroshenko I, Kirsanov D, Di Natale C, Paolesse R, Legin A. Electronic Tongue for Brand Uniformity Control: A Case Study of Apulian Red Wines Recognition and Defects Evaluation †. SENSORS 2018; 18:s18082584. [PMID: 30087269 PMCID: PMC6111746 DOI: 10.3390/s18082584] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 01/24/2023]
Abstract
The potentiometric electronic tongue system has been tested as a potential analytical tool for brand uniformity control of monoculture Apulian red wines (Primitivo and Negroamaro). The sensor array was composed of eight porphyrin coatings obtained by electrochemical polymerization process and was employed for both wines discrimination and quantitative detection of wine defect compounds: "off-odour" 3-(methylthio)-propanol; isoamyl alcohol fusel oil; benzaldehyde (marker of the yeast activity) and acetic acid (marker of vinegar formation). PLS-DA applied to Electronic tongue output data has permitted a correct discrimination of more than 70% of analysed wines in respect to the original brand affiliation. Satisfactory PLS1 predictions were obtained in real wine samples; with R² = 0.989 for isoamyl alcohol and R² = 0.732 for acetic acid. Moreover; the possibility to distinguish wine samples on the base of permitted levels of fault compounds content was shown.
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Affiliation(s)
- Larisa Lvova
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
- Department of Chemical Sciences and Technology, University 'Tor Vergata', 00133 Rome, Italy.
| | - Irina Yaroshenko
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
| | - Dmitry Kirsanov
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
- Institute of Chemistry, St. Petersburg State University, 198504 St. Petersburg, Russia.
| | - Corrado Di Natale
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
| | - Roberto Paolesse
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
| | - Andrey Legin
- Laboratory of Artificial Sensory Systems, ITMO University, 197101 St. Petersburg, Russia.
- Institute of Chemistry, St. Petersburg State University, 198504 St. Petersburg, Russia.
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