The classification of waste as hazardous could soon be assessed in Europe using largely the hazard properties of its constituents, according to the the Classification, Labelling and Packaging (CLP) regulation. Comprehensive knowledge of the component constituents of a given waste will therefore be necessary. An analytical protocol for determining waste composition is proposed, which includes using inductively coupled plasma (ICP) screening methods to identify major elements and gas chromatography/mass spectrometry (GC-MS) screening techniques to measure organic compounds. The method includes a gross or indicator measure of 'pools' of higher molecular weight organic substances that are taken to be less bioactive and less hazardous, and of unresolved 'mass' during the chromatography of volatile and semi-volatile compounds. The concentration of some elements and specific compounds that are linked to specific hazard properties and are subject to specific regulation (examples include: heavy metals, chromium(VI), cyanides, organo-halogens, and PCBs) are determined by classical quantitative analysis. To check the consistency of the analysis, the sum of the concentrations (including unresolved 'pools') should give a mass balance between 90% and 110%. Thirty-two laboratory samples comprising different industrial wastes (liquids and solids) were tested by two routine service laboratories, to give circa 7000 parameter results. Despite discrepancies in some parameters, a satisfactory sum of estimated or measured concentrations (analytical balance) of 90% was reached for 20 samples (63% of the overall total) during this first test exercise, with identified reasons for most of the unsatisfactory results. Regular use of this protocol (which is now included in the French legislation) has enabled service laboratories to reach a 90% mass balance for nearly all the solid samples tested, and most of liquid samples (difficulties were caused in some samples from polymers in solution and vegetable oil). The protocol is submitted to French and European normalization bodies (AFNOR and CEN) and further improvements are awaited.
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http://dx.doi.org/10.1016/j.wasman.2013.03.013 | DOI Listing |
Front Biosci (Landmark Ed)
November 2024
Department of Hematology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, 317000 Taizhou, Zhejiang, China.
In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) in refining the application of multi-omics and spatial multi-omics within the realm of diffuse large B-cell lymphoma (DLBCL) research. We scrutinized the current landscape of multi-omics and spatial multi-omics technologies, accentuating their combined potential with AI to provide unparalleled insights into the molecular intricacies and spatial heterogeneity inherent to DLBCL. Despite current progress, we acknowledge the hurdles that impede the full utilization of these technologies, such as the integration and sophisticated analysis of complex datasets, the necessity for standardized protocols, the reproducibility of findings, and the interpretation of their biological significance.
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December 2024
Royal Society of Biology, London, United Kingdom.
Introduction: Cephalosporins can trigger hypersensitivity reactions in certain individuals. Consequently, strict regulations restrict the production of non-beta-lactam substances during or after cephalosporin manufacturing. Dry chlorine dioxide gas (dClO), together with ultra-performance liquid chromatography Mass spectrometry/mass spectrometry (UPLC-MS/MS) detection methods, has emerged as a promising method for decontaminating cephalosporin compounds.
View Article and Find Full Text PDFCureus
November 2024
Department of Biochemistry, Pramukhswami Medical College, Bhaikaka University, Anand, IND.
Background Sigma metrics, a cornerstone of quality control (QC) in manufacturing, have been increasingly adopted in analytical processes. In clinical biochemistry labs, Sigma analysis provides insights into the level of QC achieved and identifies deviations from perfection. Methods A prospective-retrospective observational study was conducted at the Central Diagnostic Laboratory of Shree Krishna Hospital between August 2021 and July 2022.
View Article and Find Full Text PDFCureus
November 2024
Department of Emergency Medicine, Ibn Sina Hospital, Makkah, SAU.
Emergency departments (EDs) encounter substantial challenges during peak vacation periods, including increased patient volumes, limited access to medical histories, language and cultural barriers, insurance complexities, and disruptions in continuity of care. These factors strain emergency department operations, resulting in prolonged wait times, diagnostic errors, and compromised care quality. This study reviews the literature to identify patient satisfaction indicators and common challenges and evaluate strategies to improve patient outcomes during vacation-related emergency department visits.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
In Internet of Things (IoT) networks, identifying the primary Medium Access Control (MAC) layer protocol which is suited for a service characteristic is necessary based on the requirements of the application. In this paper, we propose Energy Efficient and Group Priority MAC (EEGP-MAC) protocol using Hybrid Q-Learning Honey Badger Algorithm (QL-HBA) for IoT Networks. This algorithm employs reinforcement agents to select an environment based on predefined actions and tasks.
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