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Gioda A, Beringui K, Justo EPS, Ventura LMB, Massone CG, Costa SSL, Oliveira SS, Araujo RGO, Nascimento NDM, Severino HGS, Duyck CB, de Souza JR, Saint Pierre TD. A Review on Atmospheric Analysis Focusing on Public Health, Environmental Legislation and Chemical Characterization. Crit Rev Anal Chem 2021; 52:1772-1794. [PMID: 34092145 DOI: 10.1080/10408347.2021.1919985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Atmospheric pollution has been considered one of the most important topics in environmental science once it can be related to the incidence of respiratory diseases, climate change, and others. Knowing the composition of this complex and variable mixture of gases and particulate matter is crucial to understand the damages it causes, help establish limit levels, reduce emissions, and mitigate risks. In this work, the current scenario of the legislation and guideline values for indoor and outdoor atmospheric parameters will be reviewed, focusing on the inorganic and organic compositions of particulate matter and on biomonitoring. Considering the concentration level of the contaminants in air and the physical aspects (meteorological conditions) involved in the dispersion of these contaminants, different approaches for air sampling and analysis have been developed in recent years. Finally, this review presents the importance of data analysis, whose main objective is to transform analytical results into reliable information about the significance of anthropic activities in air pollution and its possible sources. This information is a useful tool to help the government implement actions against atmospheric air pollution.
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Affiliation(s)
- Adriana Gioda
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Karmel Beringui
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Elizanne P S Justo
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Luciana M B Ventura
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.,Instituto Estadual do Ambiente (INEA), Rio de Janeiro, RJ, Brazil
| | - Carlos G Massone
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Silvânio Silvério Lopes Costa
- Núcleo de Petróleo e Gás, Universidade Federal de Sergipe, São Cristóvão, SE, Brazil.,Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador, BA, Brazil
| | - Sidimar Santos Oliveira
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador, BA, Brazil
| | - Rennan Geovanny Oliveira Araujo
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador, BA, Brazil.,Instituto Nacional de Ciência e Tecnologia do CNPq - INCT de Energia e Ambiente, Universidade Federal da Bahia, Salvador, BA, Brazil
| | - Nivia de M Nascimento
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.,Departamento de Geoquímica e Departamento de Química Analítica, Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | - Hemmely Guilhermond S Severino
- Departamento de Geoquímica e Departamento de Química Analítica, Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | - Christiane B Duyck
- Departamento de Geoquímica e Departamento de Química Analítica, Instituto de Química, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | - Jefferson Rodrigues de Souza
- Laboratório de Ciências Químicas, Universidade Estadual Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | - Tatiana D Saint Pierre
- Departamento de Química, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
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Green Labelled Rice Shows a Higher Nutritional and Physiochemical Quality Than Conventional Rice in China. Foods 2021; 10:foods10050915. [PMID: 33919454 PMCID: PMC8143485 DOI: 10.3390/foods10050915] [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: 04/01/2021] [Revised: 04/17/2021] [Accepted: 04/19/2021] [Indexed: 11/20/2022] Open
Abstract
In China, green food refers to a wide array of certified agricultural and processed edible commodities that are produced strictly following defined standard protocols and labelled with a specified “Green Food” logo. The demand for green labelled rice is rapidly growing due to its higher quality and adherence to safety standards compared to conventional rice. Therefore, the physicochemical and nutritional quality of green rice needs to be further investigated for consumers’ benefits. Using Daohuaxiang 2, one of the most famous types of green rice, we found that green rice was significantly superior to conventional rice in terms of thousand kernel weight, chalkiness, amylose content, and rheological properties. Green rice contained lower levels of heavy metals than conventional rice due to a dramatic reduction in chemical inputs during its cultivation. The concentrations of Cr, As, Cd, Pb in green rice decreased, respectively, from 98.7 to 180.1 μg/kg, 49.8 to 62.3 μg/kg, 7.8 to 9.1 μg/kg, and 29.0 to 42.8 μg/kg on average. Gas chromatography coupled with mass spectrometry (GC–MS)-based metabolomics, in combination with multivariate analysis, revealed that 15 metabolites differentially accumulated when comparing green and conventional rice. Among these, 12 metabolites showed a high accumulation in green rice, including seven amino acids, two sugars, and three fatty acids. Overall, our results suggest the superior quality of a type of green rice that is popular in China, which may boost green rice consumption and facilitate the further expansion of green rice production in China.
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Aguilera Sammaritano ML, Cometto PM, Bustos DA, Wannaz ED. Monitoring of particulate matter (PM 2.5 and PM 10) in San Juan city, Argentina, using active samplers and the species Tillandsia capillaris. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:10.1007/s11356-021-13174-4. [PMID: 33638068 DOI: 10.1007/s11356-021-13174-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/22/2021] [Indexed: 06/12/2023]
Abstract
The concentration of particulate matter (PM2.5 and PM10) was studied in San Juan city, Argentina, during winter and spring of 2017. Samplers of particulate matter (PM) and individuals of the plant species Tillandsia capillaris were placed in the centre of the city to be used as a biomonitors of atmospheric particulate matter. The PM filters and PM deposited in T. capillaris leaves were analysed to measure particle concentration and concentrations of elements (K, Ca, Mn, Fe, Cu, Zn, Br, Sr, Ba and Pb) using X-ray fluorescence by synchrotron radiation (SR-XRF). Linear regression analysis showed significant positive correlations between PM concentration in the atmosphere and the particles deposited on T. capillaris leaves. The elements quantified in PM2.5 and PM10 filters were subjected to a principal component analysis, which showed the presence of three emission sources in the study area (soil, vehicular traffic and industry) in both fractions. It was not possible to conduct this analysis with the elements obtained from the extraction of T. capillaris leaves, since most of them are solubilised at the moment of extraction. Biomonitoring with T. capillaris might be used to estimate the concentration of particulate matter in large areas or in remote sites with no electrical power supply to run active samplers. Further studies should be carried out in other regions, and more variables should be incorporated to obtain increasingly deterministic models.
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Affiliation(s)
| | - Pablo Marcelo Cometto
- CONICET, Instituto de Altos Estudios Espaciales 'Mario Gulich', UNC-CONAE, Falda del Cañete, Córdoba, Argentina
| | - Daniel Alfredo Bustos
- Instituto de Ciencias Básicas (ICB), Facultad de Filosofía, Humanidades y Artes, Universidad Nacional de San Juan, San Juan, Argentina
| | - Eduardo Daniel Wannaz
- Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET and Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina.
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Gelman Constantin J, Londonio A, Bajano H, Smichowski P, Gómez DR. Plasma-based technique applied to the determination of 21 elements in ten size fractions of atmospheric aerosols. Microchem J 2021. [DOI: 10.1016/j.microc.2020.105736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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de Oliveira Alves N, Martins Pereira G, Di Domenico M, Costanzo G, Benevenuto S, de Oliveira Fonoff AM, de Souza Xavier Costa N, Ribeiro Júnior G, Satoru Kajitani G, Cestari Moreno N, Fotoran W, Iannicelli Torres J, de Andrade JB, Matera Veras M, Artaxo P, Menck CFM, de Castro Vasconcellos P, Saldiva P. Inflammation response, oxidative stress and DNA damage caused by urban air pollution exposure increase in the lack of DNA repair XPC protein. ENVIRONMENT INTERNATIONAL 2020; 145:106150. [PMID: 33039876 DOI: 10.1016/j.envint.2020.106150] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 08/19/2020] [Accepted: 09/17/2020] [Indexed: 06/11/2023]
Abstract
Air pollution represents a considerable threat to health worldwide. The São Paulo Metropolitan area, in Brazil, has a unique composition of atmospheric pollutants with a population of nearly 20 million people and 9 million passenger cars. It is long known that exposure to particulate matter less than 2.5 µm (PM2.5) can cause various health effects such as DNA damage. One of the most versatile defense mechanisms against the accumulation of DNA damage is the nucleotide excision repair (NER), which includes XPC protein. However, the mechanisms by which NER protects against adverse health effects related to air pollution are largely unknown. We hypothesized that reduction of XPC activity may contribute to inflammation response, oxidative stress and DNA damage after PM2.5 exposure. To address these important questions, XPC knockout and wild type mice were exposed to PM2.5 using the Harvard Ambient Particle concentrator. Results from one-single exposure have shown a significant increase in the levels of anti-ICAM, IL-1β, and TNF-α in the polluted group when compared to the filtered air group. Continued chronic PM2.5 exposure increased levels of carbonylated proteins, especially in the lung of XPC mice, probably as a consequence of oxidative stress. As a response to DNA damage, XPC mice lungs exhibit increased γ-H2AX, followed by severe atypical hyperplasia. Emissions from vehicles are composed of hazardous substances, with polycyclic aromatic hydrocarbons (PAHs) and metals being most frequently cited as the major contributors to negative health impacts. This analysis showed that benzo[b]fluoranthene, 2-nitrofluorene and 9,10-anthraquinone were the most abundant PAHs and derivatives. Taken together, these findings demonstrate the participation of XPC protein, and NER pathway, in the protection of mice against the carcinogenic potential of air pollution. This implicates that DNA is damaged directly (forming adducts) or indirectly (Reactive Oxygen Species) by the various compounds detected in urban PM2.5.
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Affiliation(s)
| | | | - Marlise Di Domenico
- Department of Pathology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Giovanna Costanzo
- Department of Pathology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Sarah Benevenuto
- Department of Surgery, Sector of Anatomy, Faculty of Veterinary Medicine and Animal Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | | | | | | | - Gustavo Satoru Kajitani
- Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | - Natália Cestari Moreno
- Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | - Wesley Fotoran
- Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | | | | | - Mariana Matera Veras
- Department of Pathology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Paulo Artaxo
- Institute of Physics, University of Sao Paulo, Sao Paulo, Brazil
| | | | | | - Paulo Saldiva
- Department of Pathology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
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Sanguineti PB, Lanzaco BL, López ML, Achad M, Palancar GG, Olcese LE, Toselli BM. PM2.5 monitoring during a 10-year period: relation between elemental concentration and meteorological conditions. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:313. [PMID: 32333116 DOI: 10.1007/s10661-020-08288-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 04/13/2020] [Indexed: 06/11/2023]
Abstract
Four monitoring campaigns between the years 2009 and 2018 were conducted in Córdoba City, Argentina, to detect toxic metals in PM2.5 samples. The concentrations of As, Cd, Pb, Cu, Cr, Mn, Hg, Ni, and Zn, together with several other elements, were measured. The average metal concentrations followed the order: Zn > Cr > Cu > Mn > Pb > V > Ni > As ~ Sb > Cd > Tl > Pd > Hg > Pt. From the analysis of the temporal variation in the elemental concentration of PM2.5, results show seasonal variations that reach, in general, a maximum in the coldest seasons and a minimum in the warmer seasons. These differences could be explained by the different weather conditions during each season, the influence of the El Niño/La Niña regimen, and the presence of fires on certain sampling dates. The source apportionment analysis performed for the period 2017-2018 showed the contribution to PM2.5 of combustion of heavy fuel oil and diesel-powered vehicles, pet coke, metallurgical and nonferrous industries, paint plant factory, traffic, and natural sources like the soil and road dust. This last analysis completed the assignment of sources for the 10-year period of study. Thus, the results of this work contribute to the implementation of emission reduction strategies in order to decrease the impact of PM2.5 on the environment and the human health.
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Affiliation(s)
- Pamela B Sanguineti
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - Bethania L Lanzaco
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - María Laura López
- Facultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Física Enrique Gaviola (IFEG)/CONICET, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - Mariana Achad
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - Gustavo G Palancar
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - Luis E Olcese
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina
| | - Beatriz M Toselli
- Facultad de Ciencias Químicas, Departamento de Físico Química, Universidad Nacional de Córdoba, Ciudad Universitaria, 5000, Córdoba, Argentina.
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC)/CONICET/CLCM, Ciudad Universitaria, 5000, Córdoba, Argentina.
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Londonio A, Morzán E, Smichowski P. Determination of toxic and potentially toxic elements in rice and rice-based products by inductively coupled plasma-mass spectrometry. Food Chem 2019; 284:149-154. [DOI: 10.1016/j.foodchem.2019.01.104] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 01/18/2019] [Accepted: 01/20/2019] [Indexed: 11/29/2022]
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Achad M, Caumo S, de Castro Vasconcellos P, Bajano H, Gómez D, Smichowski P. Chemical markers of biomass burning: Determination of levoglucosan, and potassium in size-classified atmospheric aerosols collected in Buenos Aires, Argentina by different analytical techniques. Microchem J 2018. [DOI: 10.1016/j.microc.2018.02.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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