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Montaño MD, Goodman AJ, Ranville JF. Past progress in environmental nanoanalysis and a future trajectory for atomic mass-spectrometry methods. NANOIMPACT 2024; 35:100518. [PMID: 38906249 DOI: 10.1016/j.impact.2024.100518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/14/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
The development of engineered nanotechnology has necessitated a commensurate maturation of nanoanalysis capabilities. Building off a legacy established by electron microscopy and light-scattering, environmental nanoanalysis has now benefited from ongoing advancements in instrumentation and data analysis, which enable a deeper understanding of nanomaterial properties, behavior, and impacts. Where once environmental nanoparticles and colloids were grouped into broad 'dissolved or particulate' classes that are dependent on a filter size cut-off, now size distributions of submicron particles can be separated and characterized providing a more comprehensive examination of the nanoscale. Inductively coupled plasma-quadrupole mass spectrometry (ICP-QMS), directly coupled to field flow fractionation (FFF-ICP-QMS) or operated in single particle mode (spICP-MS) have spearheaded a revolution in nanoanalysis, enabling research into nanomaterial behavior in environmental and biological systems at expected release concentrations. However, the complexity of the nanoparticle population drives a need to characterize and quantify the multi-element composition of nanoparticles, which has begun to be realized through the application of time-of-flight MS (spICP-TOFMS). Despite its relative infancy, this technique has begun to make significant strides in more fully characterizing particulate systems and expanding our understanding of nanoparticle behavior. Though there is still more work to be done with regards to improving instrumentation and data processing, it is possible we are on the cusp of a new nanoanalysis revolution, capable of broadening our understanding of the size regime between dissolved and bulk particulate compartments of the environment.
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Affiliation(s)
- M D Montaño
- Department of Environmental Sciences, Western Washington University, Bellingham, WA 98225, United States of America
| | - A J Goodman
- Department of Chemistry, Colorado School of Mines, Golden, CO 80401, United States of America
| | - J F Ranville
- Department of Chemistry, Colorado School of Mines, Golden, CO 80401, United States of America.
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Giordani S, Kassouf N, Zappi A, Zattoni A, Roda B, Melucci D, Marassi V. Rapid and green discrimination of bovine milk according to fat content, thermal treatment, brand and manufacturer via colloidal fingerprinting. Food Chem 2024; 440:138206. [PMID: 38134827 DOI: 10.1016/j.foodchem.2023.138206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/20/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023]
Abstract
Addressing food safety and detecting food fraud while fulfilling greenness requisites for analysis is a challenging but necessary task. The use of sustainable techniques, with limited pretreatment, non-toxic chemicals, high throughput results, is recommended. A combination of Field Flow Fractionation (FFF), working in saline carrier and with minimal preprocessing, and chemometrics was for the first time applied to bovine milk grouping. A set of 47 bovine milk samples was analyzed: a single analysis yielded a characteristic multidimensional colloidal dataset, that once processed with multivariate tools allowed simultaneously for different discriminations: fat content, thermal treatment, brand and manufacturing plant. The analytical methodology is fast, green, simple, and inexpensive and could offer great help in the field of quality control and frauds identification. This work represents also the first attempt to identify milk sub-typologies based on colloidal profiles, and the most complete study concerning multivariate analysis of FFF fingerprint.
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Affiliation(s)
- Stefano Giordani
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy
| | - Nicholas Kassouf
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy
| | - Alessandro Zappi
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy
| | - Andrea Zattoni
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy; byFlow srl, 40129 Bologna, Italy
| | - Barbara Roda
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy; byFlow srl, 40129 Bologna, Italy
| | - Dora Melucci
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy
| | - Valentina Marassi
- Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy; byFlow srl, 40129 Bologna, Italy.
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Mao Z, Wu Y, Kong L, Zhou L, Zhang X, Geng A, Cai J, Yang H, Peili H. Changes in cargoes of platelet derived extracellular vesicles heterogeneous subpopulations induced by PM 0.1--Undisclosed cardiovascular injury communication mechanism. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 348:123845. [PMID: 38522605 DOI: 10.1016/j.envpol.2024.123845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/28/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
Epidemiological evidence has indicated a closely link between PM0.1 exposure and the incidence rate of cardiovascular diseases. This study explores the underlying communication roles of platelet-derived extracellular vesicles (PEVs) heterogeneous subpopulations in cardiovascular injury. PEVs and PMEVs which were extracted from platelet-rich plasma (PRP) un-exposure or exposure to PM0.1 by TIM4 affinity beads. By optimizing separation conditions, replacing pipelines, and resetting injection procedures, Asymmetric flow field-flow fractionation (AF4) was employed to separate, purify, characterize, and enrich PEVs and PMEVs heterogeneous subpopulations (small PEVs, PEVs-S/PMEVs-S: <100 nm; medium PEVs, PEVs-M/PMEVs-M: 100-200 nm; and large PEVs, PEVs-L/PMEVs-L: >200 nm). The results showed that the cargoes of PMEVs heterogeneous subpopulations which were released by PRP stimulated by PM0.1 were changed obviously. Moreover, compared with PEVs, PMEVs can lead to a decrease in the survival rate of Human Umbilical Vein Endothelial Cells (HUVECs). In PMEVs-S subpopulations, the alterations of lipids associated with membrane fusion and cell signaling transport (such as PC, Cer), as well as miRNAs related to inflammation, angiogenesis, and migration (miR-223, miR-22, miR-126, and miR-150), are similar to those in PMEVs-M subpopulations but distinct from PMEVs-L subpopulations. This study revealed the diverse communication mechanisms underlying PM0.1-induced cardiovascular injury, thereby offering potential avenues for the development of new biomarkers and therapeutic targets.
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Affiliation(s)
- Zhen Mao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Yingting Wu
- School of Pharmacy, Capital Medical University, No. 10 Xitoutiao You An Men, Beijing, 100069, China
| | - Ling Kong
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Central Laboratory, Xuanwu Hospital Capital Medical University, Key Laboratory for Neurodegenerative Disease of Ministry of Education, Beijing Institute for Brain Disorders, National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China
| | - Lihong Zhou
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xiaodan Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Aobo Geng
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Jin Cai
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Hong Yang
- Yanjing Medical College, Capital Medical University, No.4 Dadong Road, Shunyi District, Beijing, 101300, China
| | - Huang Peili
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China.
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