Whiteness Evaluation for Chemical Analysis (WECA) as a Flexible Tool and Web-Based Software for Whiteness Assessment in Analytical Chemistry

Exergy and Sustainability: Insights into the Value of Exergy Analysis in Sustainability Assessment of Technological Systems

Selecting analytical methods for pesticide residues in food increasingly requires balancing regulatory compliance, analytical performance, and environmental sustainability. This study presents a decision-support tool that evaluates the fitness-for-purpose of pesticide analytical methods by integrating SANTE/11312/2021 v2 validation criteria with Analytical GREEnness (AGREE)-based environmental metrics. Implemented in Excel with VBA macros, the tool guides users through the input of method parameters for both quantitative and screening approaches, scoring each against acceptance criteria. Based on the results, methods are classified as suitable for risk assessment, official control, or self-monitoring. The tool also calculates greenness scores to assess environmental impact. Glyphosate analysis in cereals was selected as a case study, and three approaches were compared: liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), flow-injection coupled to MS/MS (FI-MS/MS), and lateral flow assay (LFA). LC-MS/MS was identified as the only method suitable for official control, while FI-MS/MS and LFA met requirements for self-monitoring. The greenness assessment highlighted substantial differences, with LFA showing the lowest environmental footprint (AGREE scores of 0.63 and 0.68 for manual and automated LFAs). Overall, the tool provides a practical, user-friendly framework for selecting analytical methods that optimize both analytical performance and environmental sustainability, supporting informed decision-making in food testing.

Evaluation of green and practical analytical techniques for the determination of the antihypertensive drugs amlodipine and valsartan

Capillary electrophoresis: a new tool in forensic toxicology. Applications and prospects in hair analysis for illicit drugs

Micellar electrokinetic capillary chromatography, high performance liquid chromatography and nuclear magnetic resonance—three orthogonal methods for characterization of critical drugs

This editorial introduces the special issue “Environmental sustainability based on clean energy production and management,” which brings together selected high-quality contributions addressing contemporary challenges in environmental sustainability. The purpose of this special issue is to provide an integrated perspective on how clean energy production, environmental management strategies and sustainability-oriented policies can jointly support the transition toward more resilient and low-impact socio-economic systems. By assembling interdisciplinary research from energy sciences, environmental management, policy analysis and socio-economic studies, the issue aims to advance understanding of pathways that align technological innovation with environmental protection and sustainable development objectives.The special issue is based on a rigorous selection of peer-reviewed research papers originating from international scientific collaboration and conference-based dissemination, followed by independent review within the journal's editorial process. The collected contributions employ diverse methodological approaches, including quantitative modelling, empirical analysis, life-cycle assessment, policy evaluation and systems-based frameworks. This methodological diversity reflects the multifaceted nature of sustainability challenges and allows for a comprehensive examination of clean energy systems, environmental impacts, governance mechanisms and socio-economic implications.The papers included in this special issue highlight the critical role of clean energy technologies and integrated management approaches in reducing environmental pressures while supporting economic and social development. Key findings emphasize the importance of renewable and bioenergy systems, energy efficiency, environmental impact mitigation and ecosystem protection. Several contributions demonstrate how policy design, governance structures and market mechanisms influence sustainability outcomes, while others underline the need for holistic indicators and assessment tools to better capture environmental and social performance. Collectively, the studies illustrate that effective sustainability transitions require coordinated action across technological, institutional and societal dimensions.This special issue offers original value by consolidating interdisciplinary insights that link clean energy production with environmental management and sustainability governance. Unlike studies focusing on isolated technological or environmental aspects, the issue emphasizes integrated solutions and cross-sectoral perspectives. It contributes to the literature by highlighting practical strategies, analytical tools and policy-relevant findings that support progress toward global sustainability goals. The issue is intended to serve as a valuable reference for researchers, policymakers and practitioners seeking evidence-based approaches to managing environmental sustainability in the context of clean energy transitions.A photograph of Chafic Salamé, standing behind a podium. The male figure is in formal attire.With over 45 special issues edited for leading academic publishers – including Elsevier, Emerald, AIP, IOP, Inderscience and Tech Science Press – Professor Chafic Salamé has demonstrated extensive editorial and subject-matter expertise in sustainability, energy and environmental management.Holding a Habilitation à Diriger des Recherches (HDR, 2005) and a Ph.D. in Physics–Microelectronics (2000) from the University of Perpignan, as well as a Diploma in Radiological Protection from Delft University of Technology (2001), Professor Salamé brings a strong academic foundation to this work.Currently serving as Director of the European Academy for Sustainable Development (France), an institution devoted to fostering sustainable communities through the dissemination of scientific knowledge – including books, journals and periodicals – Professor Salamé also leads the TMREES international conference series (since 2011) and coordinates Erasmus + projects across the Euro-Mediterranean region.The Academy's mission focuses on promoting resource-efficient practices and advancing long-term improvements in environmental quality, public health and social cohesion.

Evaluating the whiteness of spectroscopy-based non-destructive analytical methods – Application to food analytical control

Extraction of catechins and caffeine from different tealeaves and comparison with micellar electrokinetic chromatography

Isolation and analysis of bioactive diterpenoids in Salvia species ( Salvia chionantha and Salvia kronenburgiii) by micellar electrokinetic capillary chromatography

Click Analytical Chemistry Index as a novel concept and framework, supported with open source software to assess analytical methods

A coulometric flow cell for in-line generation of reagent, titrant or standard solutions

Ultra Performance Liquid Chromatography (UPLC) represents a paradigm shift in analytical separation science, offering enhanced speed, sensitivity, and resolution while retaining the foundational principles of traditional liquid chromatography. This comprehensive review explores the principles, instrumentation, advantages, and applications of UPLC in analytical method development, validation, and stability studies, with a focus on pharmaceutical analysis. UPLC leverages finer particles and intensified flow rates to achieve unprecedented performance gains, facilitating rapid and precise separations without compromising analytical rigor. The discussion delves into the intricate instrumentation involved, including sample injection, column selection, and detector operation, highlighting the critical role of each component in ensuring optimal analytical performance. Advantages of UPLC include drastically reduced run times, streamlined method optimization, and increased sample throughput, while limitations such as higher back pressures and limited column regenerability are also discussed. Furthermore, the review outlines the diverse applications of UPLC across pharmaceutical, environmental, food and beverage, clinical, forensic, bioanalytical, and polymer analysis domains, underscoring its versatility and significance in advancing research, development, and quality control in various industries. In summary, UPLC represents a transformative tool in analytical chemistry, offering unparalleled capabilities for expedited and accurate analysis of complex sample matrices, ultimately driving innovation and scientific progress. Key Words: Ultra Performance Liquid Chromatography (UPLC), analytical method development, validation, stability studies, pharmaceutical analysis, instrumentation, advantages, applications, sample injection, column chemistry, detector technology, back pressures, method optimization, sample throughput, environmental analysis, food and beverage analysis, clinical diagnostics, forensic analysis, bioanalytical research, polymer analysis, analytical chemistry.

该文为2020年毛细管电泳(capillary electrophoresis, CE)技术年度回顾。归纳总结了以“capillary electrophoresis-mass spectrometry”或“capillary isoelectric focusing”或“micellar electrokinetic chromatography”或“capillary electrophoresis”为关键词在ISI Web of Science数据库中进行主题检索得到的2020年CE技术相关研究论文222篇,以及中文期刊《分析化学》和《色谱》中CE技术相关的研究论文37篇。对2020年影响因子(IF)≥5.0的Analytical Chemistry, Food Chemistry, Analytica Chimica Acta和Talanta等13本期刊的38篇文章报道的科研工作作了逐一介绍;对IF<5.0的期刊中CE技术报道较为集中的Journal of Chromatography A和Electrophoresis两本分析化学类期刊发表40篇文章中的代表性内容作了综合介绍;对重要的中文期刊《分析化学》出版的“核酸适配体专刊”和《色谱》出版的2期CE技术专刊所收录的37篇文章中的工作作了总体介绍。总体来说,2020年CE技术发展趋势仍以毛细管电泳-质谱(CE-MS)的新方法和新应用最为突出,主要集中在CE-MS与电化学检测、固相萃取以及多种毛细管电泳模式的联用方面,CE-MS接口相关的报道较前几年有所减少;常规CE技术则以胶束电动毛细管色谱(MEKC)在复杂样本分析、浓缩富集应用为主,尤其在食品和药品等复杂基质样本分析方面的报道较为集中;此外,我国CE相关领域专家学者的科研成果涵盖了CE在生命科学、临床医学、医药研发、环境科学、天然产物、食品分析等领域的应用,代表了国内CE科研应用水平和现状。

In recent years, the increase in energy demand and carbon emission constraints have forced industry sector to improve the process efficiency with respect to environmental sustainability. Therefore, resource saving has become not only an added value, but a real priority for manufacturing in the Industry 4.0 era. Life-Cycle Assessment (LCA) is a common practice for estimating the environmental impact of products during their life-cycle, and can be used more widely and easily if specific models focusing on each life-cycle phase are available. In this thesis, the manufacturing phase of machined products has been modelled by analyzing different process performance metrics. Both the economic efficiency and the environmental sustainability have been accounted for. The Specific Production Time (SPT) is proposed as indicator of the manufacturing productivity; the Specific Production Cost (SPC) is developed in order to quantify the direct and indirect costs related to the manufacturing process; finally, the Specific Energy Requirement (SER) and the Specific Carbon Emission (SCE) indices are proposed in order to assess the environmental sustainability of the manufacturing phase in terms of primary energy demand and carbon footprint, respectively. The models have been developed in order to be valid for conventional machining processes in which cutting tools with defined cutting edge are used. The models are also aimed at the identification of optimum process parameters which allow to minimize each specific goal. In particular, optimum tool life values can be computed as a function of the machine tool, the cutting tool, the metalworking fluid, and the workpiece material. As a consequence, optimum process parameters such as cutting speed can be selected with respect to a specific tool life criterion. The high-efficiency machining range (widely known in literature) has been extended by considering all the four optimal cutting speeds (or tool life values) that minimize each production indicator. Hence, a trade-off criterion is proposed and developed by the introduction of a holistic function which can assign different weights on each optimization target. This advanced optimization method is suggested in order to identify a unique value of cutting speed (or tool life) which can be seen as a compromise among the different criteria of time, cost, and environmental sustainability. Four case studies have been considered in order to apply the proposed models and are focused on the turning of two titanium-based alloys conventionally used for aerospace applications: a Ti-6Al-4V alloy and a Ti-48Al-2Cr-2Nb intermetallic alloy. A Graziano SAG 101 CNC turning lathe was used in the experiments in order to obtain inventory data to test the models. Various set of process parameters such as depth of cut, feed, and cutting speed have been tested in order to identify the coefficients of the Taylor's tool life equation which plays a key role within the proposed models. Three different cutting tools were used. Finally, four lubrication/cooling conditions were adopted such as dry, wet, Minimum Quantity Lubrication (MQL), and Minimum Quantity Cooling (MQC). Overall, the four case studies are presented in order to assess the influence of (1) process parameters, (2) cutting tool geometries, (3) workpiece materials, and (4) lubrication/cooling conditions onto the machining performance measured by the proposed models. The wide applicability of the developed models has been proved by the results related to the analyzed case studies. In particular, the results highlighted that the proposed metrics are suitable for a proper selection of machining conditions that enable at the same time resource savings as well as reduced environmental impacts.

Bisphenol A (BPA) is a hazardous endocrine-disrupting compound which is frequently detected in water sources due to its extensive application in plastic manufacturing. This study introduces an environmentally sustainable liquid-liquid microextraction (LLME) approach, coupled with high-performance liquid chromatography with diode-array detection (HPLC/DAD), for the determination of BPA in drinking water bottles and pharmaceutical eye-drop solutions. 1-Decanol was employed as a green extraction solvent, and critical experimental parameters were systematically optimized to achieve maximum extraction efficiency. Furthermore, the mobile phase consisted of ethanol and water (40:60 v/v), both recognized as green solvents, further enhancing the method's eco-friendly profile. The developed method demonstrated accepted linearity (r = 0.9989) within the concentration range of 25-20,000 ng mL- 1. The high recovery rates (98.23%-101.73%) and the low relative standard deviations (RSD ≤ 3.0%) confirmed the method's accuracy and precision. The method's environmental sustainability was confirmed through comprehensive greenness and performance evaluations using the Analytical Eco-Scale, Modified Green Analytical Procedure Index (MoGAPI), Analytical GREEnness Metric Approach (AGREE), Click Analytical Chemistry Index (CACI) and the Environmental, Performance, and Practicality Index (EPPI)metrics. In addition, the carbon footprint reduction index (CaFRI) score of 78 demonstrated a substantial decrease in environmental burden, while the red analytical performance index (RAPI) score of 75 reflected strong analytical performance suitable for routine laboratory application. The developed method achieved a greenness of 78% (MoGAPI), blueness of 78%, and redness of 75%, collectively indicating full compliance with the white analytical chemistry (WAC) framework. Together, this trio-colored assessment system effectively integrates environmental sustainability with analytical performance, offering a holistic paradigm for method evaluation. These findings position the proposed method as a viable and reliable alternative for BPA analysis in water samples and pharmaceutical solutions packed in plastic containers.