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Green Analytical Chemistry: A Themed Issue in Honor of Professor Jacek Namieśnik

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

Deadline for manuscript submissions: closed (25 February 2024) | Viewed by 7288

Special Issue Editor


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Guest Editor
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, 80-233 Gdańsk, Poland
Interests: two-dimensional gas chromatography; mass spectrometry; electronic noses; application of instrumental techniques in food analytics
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Special Issue Information

Dear Colleagues,

Jacek Namieśnik was one of the most active Polish chemists and a full professor of Gdańsk University of Technology (GUT). In 1990–1996, he was elected as a Deputy Dean for Education of the Faculty of Chemistry of GUT and in 1996–2002 and again in 2005–2012 as a Dean of this Faculty. From 1995, he was the head of the Department of Analytical Chemistry, and has been awarded by the Center of Excellence. He is also a member of the senate of GUT (since 1990) and head of Doctoral Studies at the Faculty of Chemistry of GUT as well. He held the position of Rector of Gdańsk University of Technology from 1 September 2016 until his death. During his remarkable career, he held the position of Chairman of the Commission of Analytical Chemistry at the National Academy of Sciences, and he was a member of the Central Commission for Academic Degrees and Titles in Poland.  He was also a Vice-Chairman of the Conference of Rectors of Polish Technical Universities (KRPUT) and a member of the European Academy of Sciences (class IV: natural sciences). He is a specialist in the field of broadly understood analytical chemistry, mainly with the concern of new apparatus and methodical solutions including sensor technologies, electronic noses, chromatographical and other instrumental techniques and new sampling procedures with a particular emphasis on green analytical chemistry aspects.

Professor Jacek Namieśnik has extensive experience in managing and implementing research and development projects, as evidenced by a large number of implemented projects (six European grants and other national ones: 23 research grants, 2 research development and 4 special-purpose ones, including 2 apparatus ones). Three of them were dedicated to the topic of electronic nose technologyies.  He is the author and co-author of over 1000 articles listed on the Philadelphia List (ISI Master Journal List), numerous other publications, book chapters and 13 patents. The value of their impact factor (IF) exceeds 2500 points, and his works have been independently cited more than 17,000 times (without self-citations), which allowed him to reach an h-index of h=69. In 2020, Professor Jacek Namieśnik is on the prestigious list of the most-cited scientists in the world. In the Clarivate Highly Cited Researchers 2020 ranking, there are only three more names of scientists from Polish universities.

This Special Issue is dedicated to honoring and commemorating the remarkable career of professor Jacek Namieśnik. The scientific achievements of this great personality are related to well-known 'green solutions' applied in broadly understood analytical chemistry. It includes many instrumental and methodological conceptions, and this is in line with the thematic interest of this Special Issue. It is a place in which many various topics belonging to different scientific disciplines could be combined, but at the same time they represent a convergent purpose in terms of practical use. Therefore, all topics concerned with sensor technologies applied in analytical applications, such as the latest technical solutions for the construction and application of chemical sensors; new conceptual devices equipped with sensor systems; new products in the world of electronic noses and electronic tongues; innovative processing of sensor signals and data treatment techniques with their implementation; new solutions of sensor data treatment; as well as other instrumental analytical solutions complementary to sensor ones in the meaning of their practical purpose, including olfactometry, gas and liquid chromatography, mass spectrometry and spectrophotometry or electromigration techniques; are expected. Submitted works should examine research based on chemical sensors and their utilization as an independent practical application or as combined research in which the synthesis of scientific approaches takes place with the above-mentioned analytical techniques. The subject of interest also includes olfactometry, gas and liquid chromatography, mass spectrometry and spectrophotometry or electromigration techniques utilized as independent research with respect to sensor-based studies, but providing prospects to combine sensor technologies to certain practical applications in the near future. The most recommended version of potential articles would be the complimentary use of sensor technologies with the above-mentioned analytical techniques, which in the majority of cases are rightly recognized as reference techniques to chemical sensor ones. The last type of study is rare, and it is very welcome in this Special Issue.     

The following topics fall within the scope of the thematic issue:

  • Broadly understood new chemical sensor technical solutions;
  • Novel construction solutions applied in single chemical sensor and sensor array technologies;
  • New approaches in the use of advanced signal treatment and data processing methods dedicated to a broad spectrum of analytical techniques, including 'classical ones' and chemical sensor ones;
  • Miniaturization of single chemical sensors or sensor arrays, as well as miniaturization of sensor devices, including electronic noses electronic tongues and other instrumental designs based on instrumental analytical techniques;
  • Development of novel analytical methodologies independently or combined with a broad range of investigations of real samples in terms of qualitative and quantitative analysis achieved by the utilization of chemical sensors, sensor arrays, implementation of electronic noses, electronic tongues or instrumental analytical techniques, such as olfactometry, gas and liquid chromatography, mass spectrometry, spectrophotometry, capillary electrophoresis and isotachophoresis,
  • New approaches in real sample classifications using the above-mentioned instrumental classical techniques and based on chemical sensors;
  • All types of analytical approaches combining chemical sensors with classical instrumental analytical techniques.

With all respect and hope, I invite you to undertake the initiative to participate in this Special Issue.

Dr. Tomasz Marcin Dymerski
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

  • chemical sensors
  • sensor arrays
  • electronic noses
  • electronic tongues
  • gas chromatography
  • liquid chromatography
  • olfactometry
  • mass spectrometry
  • capillary electrophoresis
  • isotachophoresis
  • sensor miniaturization
  • device miniaturization
  • new analytical methodologies
  • volatiles
  • non volatiles
  • qualitative and quantitative analysis
  • classifications
  • signal treatment
  • data processing methods
  • chemometrics

Published Papers (3 papers)

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Research

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10 pages, 1603 KiB  
Communication
Rapid and Green Classification Method of Bacteria Using Machine Learning and NIR Spectroscopy
by Leovergildo R. Farias, João dos S. Panero, Jordana S. P. Riss, Ana P. F. Correa, Marcos J. S. Vital and Francisco dos S. Panero
Sensors 2023, 23(17), 7336; https://doi.org/10.3390/s23177336 - 23 Aug 2023
Viewed by 1195
Abstract
Green Chemistry is a vital and crucial instrument in achieving pollution control, and it plays an important role in helping society reach the Sustainable Development Goals (SDGs). NIR (near-infrared spectroscopy) has been utilized as an alternate technique for molecular identification, making the process [...] Read more.
Green Chemistry is a vital and crucial instrument in achieving pollution control, and it plays an important role in helping society reach the Sustainable Development Goals (SDGs). NIR (near-infrared spectroscopy) has been utilized as an alternate technique for molecular identification, making the process faster and less expensive. Near-infrared diffuse reflectance spectroscopy and Machine Learning (ML) algorithms were utilized in this study to construct identification and classification models of bacteria such as Escherichia coli, Salmonella enteritidis, Enterococcus faecalis and Listeria monocytogenes. Furthermore, divide these bacteria into Gram-negative and Gram-positive groups. The green and quick approach was created by combining NIR spectroscopy with a diffuse reflectance accessory. Using infrared spectral data and ML techniques such as principal component analysis (PCA), hierarchical cluster analysis (HCA) and K-Nearest Neighbor (KNN), It was feasible to accomplish the identification and classification of four bacteria and classify these bacteria into two groups: Gram-positive and Gram-negative, with 100% accuracy. We may conclude that our study has a high potential for bacterial identification and classification, as well as being consistent with global policies of sustainable development and green analytical chemistry. Full article
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22 pages, 693 KiB  
Article
A Parametric Model for the Analysis of the Impedance Spectra of Dielectric Sensors in Curing Epoxy Resins
by Alexander Kyriazis, Samir Charif, Korbinian Rager, Andreas Dietzel and Michael Sinapius
Sensors 2023, 23(4), 1825; https://doi.org/10.3390/s23041825 - 6 Feb 2023
Cited by 1 | Viewed by 1356
Abstract
Observing the curing reaction of epoxy resins is a key to quality assurance in fibre composite production. The evaluation of electrical impedance spectra is an established monitoring method. Such impedance spectra contain the physical effects of dipole relaxation, ionic conduction and electrode polarisation, [...] Read more.
Observing the curing reaction of epoxy resins is a key to quality assurance in fibre composite production. The evaluation of electrical impedance spectra is an established monitoring method. Such impedance spectra contain the physical effects of dipole relaxation, ionic conduction and electrode polarisation, which shift to lower frequencies as curing progresses. In the early stage of the curing reaction, ionic conductivity and electrode polarisation dominate, and in the later stage of the curing reaction, dipole relaxation dominates. Due to the shift of the effects over several frequency decades, it makes sense to evaluate electrical impedance spectra not exclusively at one frequency but over an entire available frequency spectrum. The measured spectral raw data cannot be easily interpreted by a control algorithm and have to be mapped to simpler key indicators. For this purpose, a frequency-dependent model is proposed to address the aforementioned physical effects. With only five free parameters, measured spectra can be described with a relative error of only 2.3%. The shift of the occurring effects to lower frequencies necessitates switching the key indicator used in the progression of the cure reaction. Full article
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Review

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15 pages, 4911 KiB  
Review
Application of 3D Printing Technology in Sensor Development for Water Quality Monitoring
by Yifan Sun, Dunzhu Li, Yunhong Shi, Zeena Wang, Saviour I. Okeke, Luming Yang, Wen Zhang, Zihan Zhang, Yanqi Shi and Liwen Xiao
Sensors 2023, 23(5), 2366; https://doi.org/10.3390/s23052366 - 21 Feb 2023
Cited by 5 | Viewed by 4095
Abstract
The development of sensors for water quality monitoring is crucial to protect water quality, aquatic biota and human health. Traditional sensor manufacturing methods have significant drawbacks, such as low fabrication freedom, limited material choice and expensive manufacturing cost. As a possible alternative method, [...] Read more.
The development of sensors for water quality monitoring is crucial to protect water quality, aquatic biota and human health. Traditional sensor manufacturing methods have significant drawbacks, such as low fabrication freedom, limited material choice and expensive manufacturing cost. As a possible alternative method, 3D printing technologies are increasingly popular in sensor development due to their high versatility, fast fabrication/modification, powerful processing of different materials and ease of incorporation with other sensor systems. Surprisingly, a systematic review examining the application of 3D printing technology in water monitoring sensors has not yet been conducted. Here, we summarized the development history, market share and advantages/disadvantages of typical 3D printing techniques. Specifically focused on the 3D-printed sensor for water quality monitoring, we then reviewed the applications of 3D printing in the development of sensors’ supporting platform, cell, sensing electrode as well as all-3D-printed sensors. The fabrication materials and processing, and the sensor’s performances regarding detected parameters, response time and detection limit/sensitivity, were also compared and analyzed. Finally, the current drawbacks of 3D-printed water sensors and potential directions for future study were discussed. This review will substantially promote the understanding of 3D printing technology used in water sensor development and benefit the protection of water resources. Full article
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