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Zheng J, Zhang S, Luo W, Yang Q, Qin R, Tang B, Zhang Y, Xia X, Luo X, Mai B, Yu Y. Tracing semi-quantitatively the absorption and removal of organic pollutants in human hair based on secondary ion mass spectrometry. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135278. [PMID: 39047566 DOI: 10.1016/j.jhazmat.2024.135278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 07/17/2024] [Accepted: 07/20/2024] [Indexed: 07/27/2024]
Abstract
Human hair has become a promising non-invasive matrix in assessing exposure to environmental organic pollutants (OPs). However, exogenous contaminants, which were absorbed into the hair via sweat, sebum, and air particles/dust, could contribute to OP levels in hair and interfere with the precise exposure assessment. So far, the microscopic mechanisms underlying the absorption of exogenous OPs into hair remain inadequately understood. This study focused on the in-situ investigation of the diffusion processes of exogenous OPs into the hair structure using secondary ion mass spectrometry (SIMS) and isotopic tracer techniques. Results showed that the relative signal intensities of deuterium-labeled tris(1,3-dichloro-2-propyl) phosphate (TDCPP), 1-hydroxypyrene (1-OH-Pry), and bisphenol A (BPA) in the hair cortex were notably elevated after a 6-hour exposure. Diffusion coefficients of contaminants were related to their molecular weight, and absorption volumes to their water solubility and molecular structures. Exposure duration and solvent influenced the rate of diffusion and absorption volumes. The distribution of deuterium-labeled molecules in exposed hair samples after washing with two different solvents (acetone or water) was similar to that before washing. Our findings revealed the diffusion of OPs in hair cross-sections, indicating exogenous contributions to contaminants that are biologically incorporated into the hair.
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Affiliation(s)
- Jing Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Shiyi Zhang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Weikeng Luo
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Qing Yang
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, PR China
| | - Ruixin Qin
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Bin Tang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Yanqiang Zhang
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, PR China
| | - Xiaoping Xia
- State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Xiaojun Luo
- State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Guangzhou 510640, PR China
| | - Bixian Mai
- State Key Laboratory of Organic Geochemistry, Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Chinese Academy of Sciences, Guangzhou Institute of Geochemistry, Guangzhou 510640, PR China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Research Group of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
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Zhang H, Lu KH, Ebbini M, Huang P, Lu H, Li L. Mass spectrometry imaging for spatially resolved multi-omics molecular mapping. NPJ IMAGING 2024; 2:20. [PMID: 39036554 PMCID: PMC11254763 DOI: 10.1038/s44303-024-00025-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 06/21/2024] [Indexed: 07/23/2024]
Abstract
The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter in biological research. Mapping the landscape of various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions and pathways is believed to provide a more holistic and nuanced exploration of the molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as a forefront technique for spatially mapping the metabolome, lipidome, and proteome within diverse tissue and cell samples. In this review, we offer a systematic survey delineating different MSI techniques for spatially resolved multi-omics analysis, elucidating their principles, capabilities, and limitations. Particularly, we focus on the advancements in methodologies aimed at augmenting the molecular sensitivity and specificity of MSI; and depict the burgeoning integration of MSI-based spatial metabolomics, lipidomics, and proteomics, encompassing the synergy with other imaging modalities. Furthermore, we offer speculative insights into the potential trajectory of MSI technology in the future.
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Affiliation(s)
- Hua Zhang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Kelly H. Lu
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
| | - Malik Ebbini
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Penghsuan Huang
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
| | - Haiyan Lu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
- Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
- Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
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3
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Shen Y, Son J, Yu XY. ToF-SIMS evaluation of PEG-related mass peaks and applications in PEG detection in cosmetic products. Sci Rep 2024; 14:14980. [PMID: 38951137 PMCID: PMC11217440 DOI: 10.1038/s41598-024-65504-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024] Open
Abstract
Polyethylene glycols (PEGs) are used in industrial, medical, health care, and personal care applications. The cycling and disposal of synthetic polymers like PEGs pose significant environmental concerns. Detecting and monitoring PEGs in the real world calls for immediate attention. This study unveils the efficacy of time-of-flight secondary ion mass spectrometry (ToF-SIMS) as a reliable approach for precise analysis and identification of reference PEGs and PEGs used in cosmetic products. By comparing SIMS spectra, we show remarkable sensitivity in pinpointing distinctive ion peaks inherent to various PEG compounds. Moreover, the employment of principal component analysis effectively discriminates compositions among different samples. Notably, the application of SIMS two-dimensional image analysis visually portrays the spatial distribution of various PEGs as reference materials. The same is observed in authentic cosmetic products. The application of ToF-SIMS underscores its potential in distinguishing PEGs within intricate environmental context. ToF-SIMS provides an effective solution to studying emerging environmental challenges, offering straightforward sample preparation and superior detection of synthetic organics in mass spectral analysis. These features show that SIMS can serve as a promising alternative for evaluation and assessment of PEGs in terms of the source, emission, and transport of anthropogenic organics.
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Affiliation(s)
- Yanjie Shen
- College of Biology and Oceanography, Weifang University, 5147 Dongfeng East Street, Weifang, 261061, Shandong, China
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | - Jiyoung Son
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Xiao-Ying Yu
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
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4
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Yoshikawa T, Hayashi N, Yamada A, Yokota M. Stereoselective Knoevenagel reaction between pyrimidine carbaldehyde bearing an adjacent aryl group and active cyano-containing methylene compounds. Tetrahedron Lett 2022. [DOI: 10.1016/j.tetlet.2022.154307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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5
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Mass spectrometry imaging and its potential in food microbiology. Int J Food Microbiol 2022; 371:109675. [DOI: 10.1016/j.ijfoodmicro.2022.109675] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/23/2022] [Accepted: 04/04/2022] [Indexed: 11/20/2022]
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Francischini DS, Arruda MA. When a picture is worth a thousand words: Molecular and elemental imaging applied to environmental analysis – A review. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106526] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Gubal A, Chuchina V, Sorokina A, Solovyev N, Ganeev A. MASS SPECTROMETRY-BASED TECHNIQUES FOR DIRECT QUANTIFICATION OF HIGH IONIZATION ENERGY ELEMENTS IN SOLID MATERIALS-CHALLENGES AND PERSPECTIVES. MASS SPECTROMETRY REVIEWS 2021; 40:359-380. [PMID: 32619078 DOI: 10.1002/mas.21643] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/18/2020] [Accepted: 06/18/2020] [Indexed: 06/11/2023]
Abstract
The determination of nonmetals, first of all, the most electronegative ones-nitrogen, oxygen, fluorine, chlorine, and bromine, poses the highest challenge for element analysis. These elements are characterized by high reactivity, volatility, high ionization energy, and the absence of intensive spectral lines in the optical spectral range. Conventional techniques of their quantification include considerable "wet chemistry" stages so the application of these techniques for the solid sample is highly laborious and prone to uncontrollable uncertainties. Additionally, current development in material science and other areas requires the quantification of the elements at lower levels with good sensitivity. Owing to their robustness and flexibility, mass spectrometry techniques provide vast possibilities for the quantification, spatial and isotopic analysis, including the solutions for direct analysis of solids. The current review focuses on the application of major mass spectrometric techniques for the quantification of N, O, F, Cl, and Br in solid samples. The following techniques are mainly considered: thermal ionization mass spectrometry (TIMS), isotope-ratio MS (IRMS), secondary ion MS (SIMS), inductively coupled plasma MS (ICP-MS), and glow discharge MS (GDMS); as the most accessible and widely applied for the purpose. General ionization issues, advantages, limitations, and novel methodological solutions are discussed. © 2020 John Wiley & Sons Ltd.
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Affiliation(s)
- Anna Gubal
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, Saint Petersburg, 199034, Russia
| | - Victoria Chuchina
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, Saint Petersburg, 199034, Russia
| | - Angelina Sorokina
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, Saint Petersburg, 199034, Russia
| | - Nikolay Solovyev
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, Saint Petersburg, 199034, Russia
- Institute of Technology Sligo, Ash Lane, Sligo, F91 YW50, Ireland
| | - Alexander Ganeev
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, Saint Petersburg, 199034, Russia
- Institute of Toxicology of Federal Medico-Biological Agency, ul. Bekhtereva 1, St. Petersburg, 192019, Russia
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8
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Cho K, Choi E, Lee SY, Kim J, Moon DW, Son J, Kim E. Screening of important metabolites and KRAS genotypes in colon cancer using secondary ion mass spectrometry. Bioeng Transl Med 2021; 6:e10200. [PMID: 34027089 PMCID: PMC8126813 DOI: 10.1002/btm2.10200] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 10/06/2020] [Accepted: 10/29/2020] [Indexed: 11/08/2022] Open
Abstract
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is an imaging-based analytical technique that can characterize the surfaces of biomaterials. We used TOF-SIMS to identify important metabolites and oncogenic KRAS mutation expressed in human colorectal cancer (CRC). We obtained 540 TOF-SIMS spectra from 180 tissue samples by scanning cryo-sections and selected discriminatory molecules using the support vector machine (SVM) algorithm. Each TOF-SIMS spectrum contained nearly 860,000 ion profiles and hundreds of spectra were analyzed; therefore, reducing the dimensionality of the original data was necessary. We performed principal component analysis after preprocessing the spectral data, and the principal components (20) of each spectrum were used as the inputs of the SVM algorithm using the R package. The performance of the algorithm was evaluated using the receiver operating characteristic (ROC) area under the curve (AUC) (0.9297). Spectral peaks (m/z) corresponding to discriminatory molecules used to classify normal and tumor samples were selected according to p-value and were assigned to arginine, α-tocopherol, and fragments of glycerophosphocholine. Pathway analysis using these discriminatory molecules showed that they were involved in gastrointestinal disease and organismal abnormalities. In addition, spectra were classified according to the expression of KRAS somatic mutation, with 0.9921 AUC. Taken together, TOF-SIMS efficiently and simultaneously screened metabolite biomarkers and performed KRAS genotyping. In addition, a machine learning algorithm was provided as a diagnostic tool applied to spectral data acquired from clinical samples prepared as frozen tissue slides, which are commonly used in a variety of biomedical tests.
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Affiliation(s)
- Kookrae Cho
- Division of Electronic Information System ResearchDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
| | - Eun‐Sook Choi
- Division of Bio‐Fusion ResearchDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
| | - Sung Young Lee
- Division of Technology Business, National Institute for Nanomaterials Technology (NINT)Pohang University of Science and Technology (POSTECH)PohangRepublic of Korea
| | - Jung‐Hee Kim
- Division of Electronic Information System ResearchDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
| | - Dae Won Moon
- Department of New BiologyDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
| | - Jong‐Wuk Son
- Division of Electronic Information System ResearchDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
| | - Eunjoo Kim
- Division of Electronic Information System ResearchDaegu Gyeongbuk Institute of Science and Technology (DGIST)DaeguRepublic of Korea
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9
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Park H, Ha ES, Kim MS. Physicochemical analysis techniques specialized in surface characterization of inhalable dry powders. JOURNAL OF PHARMACEUTICAL INVESTIGATION 2021. [DOI: 10.1007/s40005-021-00526-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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10
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Kovochich M, Liong M, Parker JA, Oh SC, Lee JP, Xi L, Kreider ML, Unice KM. Chemical mapping of tire and road wear particles for single particle analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:144085. [PMID: 33333431 DOI: 10.1016/j.scitotenv.2020.144085] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 06/12/2023]
Abstract
Tire and road wear particles (TRWP), which are comprised of polymer-containing tread with pavement encrustations, are generated from friction between the tire and the road. Similar to environmentally dispersed microplastic particles (MP), the fate of TRWP depends on both the mass concentration as well as individual particle characteristics, such as particle diameter and density. The identification of an individual TRWP in environmental samples has been limited by inherent characteristics of black particles, which interfere with the spectroscopic techniques most often used in MP research. The purpose of this research was to apply suitable analytical techniques, including scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM/EDX) mapping and time-of-flight secondary ion mass spectrometry (ToF-SIMS) mapping, to characterize the specific physical and chemical properties of individual TRWP. Detailed elemental and organic surface maps were generated for numerous samples including bulk tread material, cryogenically milled tire tread particles, and TRWP generated from two separate road simulator methods. Key physical and chemical characteristics of TRWP for single particle identification included (1) elongated/round shape with variable amounts of mineral encrustation, (2) elemental surface characteristics including co-localization of (S + Zn/Na) ± (Si, K, Mg, Ca, and Al), and (3) co-localization of organic surface markers, such as C6H5+ and C7H7+. Comparisons of TRWP with other polymeric (polystyrene) and non-polymeric (carbon black) particle types demonstrated that a combination of physical and chemical markers is necessary to identify TRWP. Addition of a density separation step to the single particle analysis techniques allowed for the determination of average primary TRWP particle size (34 μm by number distribution and 49 μm by volume distribution) and aspect ratio (65% of TRWP with an aspect ratio > 1.5). The use of chemical mapping techniques, such as SEM/EDX and/or ToF-SIMS mapping as demonstrated herein, can support future research efforts that aim to identify complex MP.
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Affiliation(s)
- Michael Kovochich
- Cardno ChemRisk, 30 North LaSalle Street Suite 3910, Chicago, IL 60602-2590, United States of America
| | - Monty Liong
- Exponent, 149 Commonwealth Drive, Menlo Park, CA 94025, United States of America
| | - Jillian A Parker
- Cardno ChemRisk, 65 Enterprise Drive Suite 150, Aliso Viejo, CA 92656, United States of America
| | - Su Cheun Oh
- Exponent, Unit 802-803, 12 Science Park West Avenue, Shatin, New Territories, Hong Kong
| | - Jessica P Lee
- Exponent, 149 Commonwealth Drive, Menlo Park, CA 94025, United States of America
| | - Luan Xi
- Exponent, Unit 802-803, 12 Science Park West Avenue, Shatin, New Territories, Hong Kong
| | - Marisa L Kreider
- Cardno ChemRisk, 20 Stanwix Street Suite 505, Pittsburgh, PA 15222, United States of America
| | - Kenneth M Unice
- Cardno ChemRisk, 20 Stanwix Street Suite 505, Pittsburgh, PA 15222, United States of America.
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11
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Advanced surface analysis using GCIB-C60++-tandem-ToF-SIMS and GCIB-XPS of 2-mercaptobenzimidazole corrosion inhibitor on brass. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105495] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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12
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Temporal and Spatial Variation of PM2.5 in Xining, Northeast of the Qinghai–Xizang (Tibet) Plateau. ATMOSPHERE 2020. [DOI: 10.3390/atmos11090953] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PM2.5 was sampled from January 2017 to May 2018 at an urban, suburban, industrial, and rural sites in Xining. The annual mean of PM2.5 was highest at the urban site and lowest at the rural site, with an average of 51.5 ± 48.9 and 26.4 ± 17.8 μg·m−3, respectively. The average PM2.5 concentration of the industrial and suburban sites was 42.8 ± 27.4 and 37.2 ± 23.7 μg·m−3, respectively. All sites except for the rural had concentrations above the ambient air quality standards of China (GB3095-2012). The highest concentration of PM2.5 at all sites was observed in winter, followed by spring, autumn, and summer. The concentration of major constituents showed statistically significant seasonal and spatial variation. The highest concentrations of organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), and water-soluble inorganic ions (WSIIs) were found at the urban site in winter. The average concentration of F− was higher than that in many studies, especially at the industrial site where the annual average concentration of F− was 1.5 ± 1.7 μg·m−3. The range of sulfur oxidation ratio (SOR) was 0.1–0.18 and nitrogen oxidation ratio (NOR) was 0.02–0.1 in Xining. The higher SO42−/NO3− indicates that coal combustion has greater impact than vehicle emissions. The results of the potential source contribution function (PSCF) suggest that air mass from middle- and large-scale transport from the western areas of Xining have contributed to the higher level of PM2.5. On the basis of the positive matrix factorization (PMF) model, it was found that aerosols from salt lakes and dust were the main sources of PM2.5 in Xining, accounting for 26.3% of aerosol total mass. During the sandstorms, the concentration of PM2.5 increased sharply, and the concentrations of Na+, Ca2+ and Mg2+ were 1.13–2.70, 1.68–4.41, and 1.15–5.12 times higher, respectively, than annual average concentration, implying that aerosols were mainly from dust and the largest saltwater lake, Qinghai Lake, and many other salt lakes in the province of Qinghai. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) was utilized to study the surface components of PM2.5 and F− was found to be increasingly distributed from the surface to inside the particles. We determined that the extremely high PM2.5 concentration appears to be due to an episode of heavy pollution resulting from the combination of sandstorms and the burning of fireworks.
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Li J, Xie W, Weng L, Chan CK, Chan C. Effects of pretreatment temperature on the analysis of size‐fractionated aerosol particles using ToF‐SIMS. SURF INTERFACE ANAL 2020. [DOI: 10.1002/sia.6751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jinze Li
- Department of Chemical and Biological EngineeringHKUST Hong Kong China
| | - Wenjing Xie
- Division of Environment and SustainabilityHKUST Hong Kong China
| | - Lu‐Tao Weng
- Department of Chemical and Biological EngineeringHKUST Hong Kong China
- Materials Preparation and Characterization FacilityHong Kong University of Science and Technology Hong Kong China
| | - Chak K. Chan
- School of Energy and EnvironmentCity University of Hong Kong Hong Kong China
| | - Chi‐Ming Chan
- Department of Chemical and Biological EngineeringHKUST Hong Kong China
- Division of Environment and SustainabilityHKUST Hong Kong China
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14
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De Bruycker K, Welle A, Hirth S, Blanksby SJ, Barner-Kowollik C. Mass spectrometry as a tool to advance polymer science. Nat Rev Chem 2020; 4:257-268. [PMID: 37127980 DOI: 10.1038/s41570-020-0168-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2020] [Indexed: 12/12/2022]
Abstract
In contrast to natural polymers, which have existed for billions of years, the first well-understood synthetic polymers date back to just over one century ago. Nevertheless, this relatively short period has seen vast progress in synthetic polymer chemistry, which can now afford diverse macromolecules with varying structural complexities. To keep pace with this synthetic progress, there have been commensurate developments in analytical chemistry, where mass spectrometry has emerged as the pre-eminent technique for polymer analysis. This Perspective describes present challenges associated with the mass-spectrometric analysis of synthetic polymers, in particular the desorption, ionization and structural interrogation of high-molar-mass macromolecules, as well as strategies to lower spectral complexity. We critically evaluate recent advances in technology in the context of these challenges and suggest how to push the field beyond its current limitations. In this context, the increasingly important role of high-resolution mass spectrometry is emphasized because of its unrivalled ability to describe unique species within polymer ensembles, rather than to report the average properties of the ensemble.
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15
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Cao Q, Qian Y, Liang H, Li Z, Chen S, Yang L, Zhan Q. Mercury forms and their transformation in pyrite under weathering. SURF INTERFACE ANAL 2020. [DOI: 10.1002/sia.6718] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Qingyi Cao
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
| | - Yahui Qian
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
| | - Handong Liang
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
- State Key Laboratory of Coal Resources and Safe MiningChina University of Mining and Technology Beijing China
| | - Zhanping Li
- Department of Chemistry, Key Laboratory of Organic Optoelectronics and Molecular Engineering of Ministry of EducationTsinghua University Beijing China
| | - Siyao Chen
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
| | - Liu Yang
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
| | - Qin Zhan
- College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing China
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16
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Ding J, Guan Y, Cong Y, Chen L, Li YF, Zhang L, Zhang L, Wang J, Bai R, Zhao Y, Chen C, Wang L. Single-Particle Analysis for Structure and Iron Chemistry of Atmospheric Particulate Matter. Anal Chem 2019; 92:975-982. [DOI: 10.1021/acs.analchem.9b03913] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jie Ding
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Guan
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China
| | - Yalin Cong
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liang Chen
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China
| | - Yu-Feng Li
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lijuan Zhang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Lili Zhang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Jian Wang
- Canadian Light Source and University of Saskatchewan, 44 Innovation Boulevard, Saskatoon, Saskatchewan S7N 2 V3, Canada
| | - Ru Bai
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
| | - Yuliang Zhao
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chunying Chen
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liming Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, Institute of High Energy Physics and National Center for Nanoscience and Technology of China, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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17
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Jia F, Wu K, Che Y, Zhang Y, Zeng F, Luo Q, Yu X, Zhu Z, Zhao Y, Wang F. ToF‐SIMS analysis of chemical composition of atmospheric aerosols in Beijing. SURF INTERFACE ANAL 2019. [DOI: 10.1002/sia.6710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Feifei Jia
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
| | - Kui Wu
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
- Key Laboratory of Hubei Province for Coal Conversion and New Carbon Materials; School of Chemistry and Chemical EngineeringWuhan University of Science and Technology Wuhan China
| | - Yanli Che
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
- School of Environment and Natural ResourcesRenmin University of China Beijing China
| | - Yanyan Zhang
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
| | - Fangang Zeng
- School of Environment and Natural ResourcesRenmin University of China Beijing China
| | - Qun Luo
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
| | - Xiao‐Ying Yu
- Energy and Environment DirectoratePacific Northwest National Laboratory Richland Washington
| | - Zihua Zhu
- Environmental Molecular Sciences LaboratoryPacific Northwest National Laboratory Richland Washington
| | - Yao Zhao
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
| | - Fuyi Wang
- Beijing National Laboratory for Molecular Sciences; CAS Research/Education Center for Excellence in Molecular Sciences; CAS Key Laboratory of Analytical Chemistry for Living Biosystems; National Centre for Mass Spectrometry in Beijing; Institute of ChemistryChinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
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18
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Affiliation(s)
- Patricia Forbes
- Department of Chemistry, University of Pretoria, Lynnwood Road, Pretoria 0002, South Africa
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19
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Kautz E, Burkes D, Joshi V, Lavender C, Devaraj A. Nanoscale Spatially Resolved Mapping of Uranium Enrichment. Sci Rep 2019; 9:12302. [PMID: 31444370 PMCID: PMC6707289 DOI: 10.1038/s41598-019-48479-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 08/02/2019] [Indexed: 12/14/2022] Open
Abstract
Spatially resolved analysis of uranium (U) isotopes in small volumes of actinide-bearing materials is critical for a variety of technical disciplines, including earth and planetary sciences, environmental monitoring, bioremediation, and the nuclear fuel cycle. However, achieving subnanometer-scale spatial resolution for such isotopic analysis is currently a challenge. By using atom probe tomography-a three-dimensional nanoscale characterisation technique-we demonstrate unprecedented nanoscale mapping of U isotopic enrichment with high sensitivity across various microstructural interfaces within small volumes (~100 nm3) of depleted and low-enriched U alloyed with 10 wt% molybdenum that has different nominal enrichments of 0.20 and 19.75% 235U, respectively. We map enrichment in various morphologies of a U carbide phase, the adjacent γ-UMo matrix, and across interfaces (e.g., carbide/matrix, grain boundary). Results indicate the U carbides were formed during casting, rather than retained from either highly enriched or depleted U feedstock materials. The approach presented here can be applied to study nanoscale variations of isotopic abundances in the broad class of actinide-bearing materials, providing unique insights into their origins and thermomechanical processing routes.
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Affiliation(s)
- Elizabeth Kautz
- National Security Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA, 99354, United States
| | - Douglas Burkes
- National Security Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA, 99354, United States
| | - Vineet Joshi
- Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA, 99354, United States
| | - Curt Lavender
- Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA, 99354, United States
| | - Arun Devaraj
- Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA, 99354, United States.
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20
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Galvão ES, Santos JM, Lima AT, Reis NC, Orlando MTD, Stuetz RM. Trends in analytical techniques applied to particulate matter characterization: A critical review of fundaments and applications. CHEMOSPHERE 2018; 199:546-568. [PMID: 29455125 DOI: 10.1016/j.chemosphere.2018.02.034] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 01/31/2018] [Accepted: 02/06/2018] [Indexed: 05/11/2023]
Abstract
Epidemiological studies have shown the association of airborne particulate matter (PM) size and chemical composition with health problems affecting the cardiorespiratory and central nervous systems. PM also act as cloud condensation nuclei (CNN) or ice nuclei (IN), taking part in the clouds formation process, and therefore can impact the climate. There are several works using different analytical techniques in PM chemical and physical characterization to supply information to source apportionment models that help environmental agencies to assess damages accountability. Despite the numerous analytical techniques described in the literature available for PM characterization, laboratories are normally limited to the in-house available techniques, which raises the question if a given technique is suitable for the purpose of a specific experimental work. The aim of this work consists of summarizing the main available technologies for PM characterization, serving as a guide for readers to find the most appropriate technique(s) for their investigation. Elemental analysis techniques like atomic spectrometry based and X-ray based techniques, organic and carbonaceous techniques and surface analysis techniques are discussed, illustrating their main features as well as their advantages and drawbacks. We also discuss the trends in analytical techniques used over the last two decades. The choice among all techniques is a function of a number of parameters such as: the relevant particles physical properties, sampling and measuring time, access to available facilities and the costs associated to equipment acquisition, among other considerations. An analytical guide map is presented as a guideline for choosing the most appropriated technique for a given analytical information required.
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Affiliation(s)
- Elson Silva Galvão
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.
| | - Jane Meri Santos
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Ana Teresa Lima
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Neyval Costa Reis
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | - Richard Michael Stuetz
- School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW, Australia
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