Development and Application of Green or Sustainable Strategies in Analytical Chemistry Volume II

A special issue of Separations (ISSN 2297-8739). This special issue belongs to the section "Materials in Separation Science".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 2634

Special Issue Editor


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Guest Editor
Department of Chemistry and Chemical Technologies, University of Calabria, Arcavacata, Italy
Interests: analytical chemistry; sample preparation; microextraction techniques; method optimization; environmental analytical chemistry
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Special Issue Information

Dear Colleagues,

This special issue comes because of the success of the previous call, which attracted numerous contributions. Although this topic was presented a few years ago, it is still very relevant and therefore stimulates the introduction of a new call for papers, updated with some recent developments in the area.

Analytical chemistry is increasingly playing a leading role in future challenges concerning the proper assessment of the exposome of living organisms. Indeed, owing to its advances, there is an increasing awareness of the real exposure to pollutants by humans and ecosystems. Although the development of sensitive and specific instrumental techniques has achieved remarkable results, sample preparation is still a fundamental step, often limiting the whole workflow, which often cannot be bypassed simply by using direct analysis techniques such as MS-ambient methods.

Almost pioneeringly, in analytical chemistry, we have been talking for some time about “green analytical chemistry”, its guiding principles, and the development of eco-friendly analytical approaches. However, the new still open challenge is to advance not only in eco-compatibility but mainly in eco-sustainability, rooting the future analytical chemistry on a new perspective aimed at minimizing the environmental impact of the analytical process by placing environmental cost as a priority aim on par with analytical performance. In this regard, a variety of metrics have been proposed over recent years to give a "quantitative" estimate of the environmental impact of protocols, each with different focuses and enhancements, and which knowledge helps the analyst to think about the multiple and often underestimated sources of "cost" when the currency is environmental protection.

This special issue aims to collect studies that show the progress in analytical chemistry based on the arguments previously raised and discussed, with a particular reference to eco-compatibility and sustainability. The expected contributions (original research papers and review articles) can include the development of low environmental impact methods and/or techniques or their applications, hyphenated technology, ambient-MS, but also interdisciplinary studies where the role of analytical techniques is well defined. In all the presented studies, it is appreciated that the environmental gain is clearly outlined.

Dr. Attilio Naccarato
Guest Editor

Manuscript Submission Information

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Keywords

  • green analytical chemistry (GAC)
  • sustainable analytical chemistry (SAC)
  • microextraction techniques
  • ambient mass spectrometry (Ambient MS)
  • green sample preparation (GSP)
  • reusable material
  • circular economy
  • natural products
  • novel materials

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Published Papers (1 paper)

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Research

15 pages, 3648 KiB  
Article
Just Suspended Speed Simulation in Torus Reactor Using Multiple Non-Linear Regression Model
by Houssem Eddine Sayah, Ali Alouache, Mohamed Annad, Abdelouahab Lefkir, L’hadi Nouri, Ammar Selatnia and Mohammed Messaoudi
Separations 2023, 10(2), 117; https://doi.org/10.3390/separations10020117 - 7 Feb 2023
Viewed by 1628
Abstract
In the chemical and water treatment industries, it is necessary to achieve maximum contact between the solid and liquid phase, thus promoting the mass and heat transfer, to obtain a homogeneous solution. Increasing stirring speed is the most recommended solution in different types [...] Read more.
In the chemical and water treatment industries, it is necessary to achieve maximum contact between the solid and liquid phase, thus promoting the mass and heat transfer, to obtain a homogeneous solution. Increasing stirring speed is the most recommended solution in different types of reactors: stirred tank, column, and tubular. However, this inadvertently increases the energy consumption of the industry. Determination of the minimum speed, labeled the just suspended speed (Njs) and crucial to attaining homogeneity, has been widely investigated. Numerous studies have been carried out to assess formulas for determining the solid particle speed in various reactor types. Given the limitations of the existing formulations based on a generalization of a unique equation for computing Njs for all soil classifications, it appears that most formulas can only approximate complex phenomena that depend on several parameters. A novel formula was developed, and the results given in this paper demonstrate the effectiveness of generating significant uncertainties for the estimation of Njs. The purpose of this study was the elaboration of experiment-based data-driven formulas to calculate Njs for different particle size classes. Nonlinear multiple regression (MNLR) models were used to generate the new formulas. The gradient descent optimization algorithm was employed to solve the hyperparameters of each novel equation, utilizing supervised learning. A comparison of the data indicated that the unique formulas presented in this study outperformed empirical formulas and provide a useful means for lowering energy consumption, while increasing the heat and mass transfer in torus type reactors. Full article
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