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Background: The terms agglomerates and aggregates are frequently used in the regulatory definition(s) of nanomaterials (NMs) and hence attract attention in view of their potential influence on health effects. However, the influence of nanoparticle (NP) agglomeration and aggregation on toxicity is poorly understood although it is strongly believed that smaller the size of the NPs greater the toxicity. A toxicologically relevant definition of NMs is therefore not yet available, which affects not only the risk assessment process but also hinders the regulation of nano-products. In this study, we assessed the influence of NP agglomeration on their toxicity/biological responses in vitro and in vivo.
Results: We tested two TiO NPs with different primary sizes (17 and 117 nm) and prepared ad-hoc suspensions composed of small or large agglomerates with similar dispersion medium composition. For in vitro testing, human bronchial epithelial (HBE), colon epithelial (Caco2) and monocytic (THP-1) cell lines were exposed to these suspensions for 24 h and endpoints such as cytotoxicity, total glutathione, epithelial barrier integrity, inflammatory mediators and DNA damage were measured. Large agglomerates of 17 nm TiO induced stronger responses than small agglomerates for glutathione depletion, IL-8 and IL-1β increase, and DNA damage in THP-1, while no effect of agglomeration was observed with 117 nm TiO. In vivo, C57BL/6JRj mice were exposed via oropharyngeal aspiration or oral gavage to TiO suspensions and, after 3 days, biological parameters including cytotoxicity, inflammatory cell recruitment, DNA damage and biopersistence were measured. Mainly, we observed that large agglomerates of 117 nm TiO induced higher pulmonary responses in aspirated mice and blood DNA damage in gavaged mice compared to small agglomerates.
Conclusion: Agglomeration of TiO NPs influences their toxicity/biological responses and, large agglomerates do not appear less active than small agglomerates. This study provides a deeper insight on the toxicological relevance of NP agglomerates and contributes to the establishment of a toxicologically relevant definition for NMs.
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http://dx.doi.org/10.1186/s12989-020-00341-7 | DOI Listing |
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View Article and Find Full Text PDFSci Rep
September 2025
College of Management Science, Chengdu University of Technology, Chengdu, 610059, China.
Exploring the spatial correlation characteristics of urban green total factor energy efficiency (GTFEE) is of great significance to promote the green and low-carbon energy transformation among cities and realize the integrated and coordinated development of green energy. Taking the urban agglomeration of the central area of the Yangtze River Delta as the research object, the Super-SBM model is used to estimate the urban GTFEE from 2006 to 2022, and exploratory spatio-temporal data analysis is used to explore its spatial pattern. Meanwhile, social network analysis (SNA) and quadratic assignment procedure (QAP) method are used to explore the spatial correlation network characteristics and influencing factors of GTFEE.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
August 2025
Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Ecological research in the 21st century has entered a new stage of ecosystem science. Macroecosystem science, as the engine and frontier direction of ecosystem science, is focusing on the mutual feedbacks among "environmental change-ecosystem-human well-being-social development", based on the systemic cognitive framework of "multiple elements-multiple processes-multiple functions-multiple scales-multiple dimensions". It is committed to developing integrated research methods of "cross media-cross interface-cross time and space-cross level-cross disciplinary", concentrating on the cascading relationships and process mechanisms of "resource environment-system structure-ecological process-functional service" and "system construction-state evolution-resource and environment effect-regulation and supervision", and understanding the evolution laws of macroecosystem and the scientific principles of human regulation.
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August 2025
New Jersey Center for Engineered Particulates, New Jersey Institute of Technology, Newark, NJ 07102, USA. Electronic address:
As predicted by the multi-asperity particle contact model, powder cohesion can be significantly reduced through dry coating of silica using a high-intensity vibratory mixer (HIVM). To promote industry adoption of dry coating, industry-relevant devices, a low-intensity V-blender and a medium-intensity comil, were evaluated against HIVM as a benchmarking control. Since low/medium intensity devices could lead to less effective silica dispersion, the contact model was extended to account for silica agglomeration.
View Article and Find Full Text PDFMaterials (Basel)
August 2025
Division of System Semiconductor, Dongguk University, Seoul 04620, Republic of Korea.
For future clean and renewable energy technology, designing highly efficient and robust electrocatalysts is of great importance. Particularly, creating efficient bifunctional electrocatalysts capable of effectively catalyzing both hydrogen- and oxygen-evolution reactions (HERs and OERs) is vital for overall water electrolysis. In this study, we employ 2D molybdenum disulfide (MoS) nanosheets and pyrolytically fabricated 2D graphitic carbon nitride (gCN) nanosheets to create 2D gCN-decorated 2D MoS (2D-2D gCN-MoS) nanocomposites using a facile sonochemical method.
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