103,279 research outputs found

    Marsico, G. (2020). Psychology as an Historical Cultural Product. In M. Massimi, Psychological Knowledge and Practices in Brazilian Culture. Latin American Voices, 4 (pp.vii-ix), São Paulo, Brazil

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    The academic life is sometimes filled by a curious sequel of events and coincidences. I have never meet in person Marina Massimi, the author of this volume titled Psychological Knowledge and Practices in Brazilian Culture. Yet, our lives crossed already several times and all the times it was because her publications. Marina Massimi is, indeed, one of the most prominent scholar in the History of Psychology in South America and I had already a taste of her vaste knowledge about the historical roots of psychological and education sciences in the Brazilian context, in a volume I co-edited some years ago (Massimi 2015) to which Dr. Massimi contributed. I am very glad to host again her work within Latin America Voices Book Series that will serve as an international “sounding board” for her investigation

    Innovative experimental approach for identifying spatial relationships between PM oxidative potential and PM chemical composition and sources

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    Recent studies identified the generation of oxidative stress as one of the major mechanisms by which PM exerts its adverse biological effects. The ability of PM to induce oxidative stress is frequently estimated by acellular oxidative potential (OP) assays, such as acid ascorbic (AA), 2,7-dichlorofluorescenin (DCFH) and dithiothreitol (DTT) assay, used as a proxy of ROS generation in biological systems. In this study we applied the AA, DCFH and DTT assays to PM10 samples, previously chemically analysed (Massimi et al, 2020), collected at 23 different sampling sites in Terni (an urban and industrial hot-spot of Central Italy), by using innovative and very-low volume devices for PM sampling on membrane filters (HSRS - High Spatial Resolution Sampler; Fai Instruments, Fonte Nuova, Rome, Italy). The HSRS worked in parallel during a two-month winter monitoring period. The sampling sites have been chosen for spatially representing the main local emission sources and the samplers were located in order to cover the study area with around 1 km spatial resolution (Figure 1, upper panel). In this study we aimed to assess the spatial variability of the three acellular assays (Figure 1) in order to investigate relationships between the different OP results and the contribution of the local emission sources to the total PM10. To our knowledge, the comparison of the three OP assays applied to PM10 spatially-resolved samples has never been undertaken so far. Furthermore, we applied the three OP assays to size-segregated PM samples collected by a multistage impactor (cut-sizes: 0.18, 0.32, 0.56, 1.0, 1.8, 3.2, 5.6, 10 and 18 μm) at three sampling sites (MA, CA and PR; Figure 1, upper panel), characterized by different strength of the main PM sources, in order to evaluate the different sensitivity of the three acellular assays toward fine and coarse particles. The results showed that AA was particularly sensitive toward coarse particles coming from the rail network (close to GI, CR and HG), released by the abrasion of train brakes. On the contrary, DCFH appeared to be more related to PM10 coming from industrial sources (steel plant at PR and OB) and biomass burning (domestic biomass heating at BR), while DTT was found to be sensitive only toward fine particles released by biomass burning (burning of carpentry waste products at FA and domestic biomass heating at BR). The innovative experimental approach allowed us identifying spatial relationships between PM oxidative potential and PM chemical composition and sources

    Effect of air quality on oxidative stress and elemental levels in hair and urine of Italian and Chilean students

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    In this study, urinary oxidative stress biomarkers and the concentrations of 41 elements were determined in the hair and urine of students from two universities: one located in Rome and one in Santiago, Chile. In addition to biological samples, PM10 samples were collected and analyzed elemental content and oxidative potential (OP; measured using cell-free DCFH, AA, and DTT assays). All elements were analyzed by ICP-MS and HG-AFS (1,2); while oxidative stress biomarkers were determined by HPLC/MS-MS. The final concentration of the analytes was expressed in μg/g of creatinine to normalize values with respect to urine dilution variability (3). When processing the data, the influence of some variables related to the participating students was evaluated, such as age, sex, body mass index, smoking and diet. The average PM10 concentration was 26 μg m-3 in Rome and 71 μg m-3 in Santiago, Chile, indicating significantly different inhalation exposure levels in the two areas. In particular, levels of Cu, Mo, Sn, and Sb, tracers of non-combustive vehicular traffic (mechanical abrasion of brakes; 4,5), showed significantly higher concentrations in Chilean PM10 samples compared to Italian ones. The OP values measured by the DCFH and AA assays were also clearly higher at the Chilean site, confirming a significant contribution of non-combustive vehicle traffic to the oxidative potential of dust. The different elemental concentrations in PM10 translated into different metal and metalloid accumulation levels in the two studied biological matrices. The elements that presented the most significant differences between Italian and Chilean students in both biological matrices were Cs, Hg, Mg, Mo, Rb, Sr, Tl, Zn. On the contrary Al, and Sn varied significantly in urine and hair, not in reference to the geographical area but depending on the participant's gender. References [1] Astolfi, M. L., Protano, C., Marconi, E., Massimi, L., Piamonti, D., Brunori, M., ... & Canepari, S. (2020). International Journal of Environmental Research and Public Health, 17(6), 1911. [2] Astolfi, M. L., Protano, C., Marconi, E., Massimi, L., Brunori, M., Piamonti, D., ... & Canepari, S. (2020). Analytical methods, 12(14), 1906-1918. [3] Buonaurio, F., Borra, F., Pigini, D., Paci, E., Spagnoli, M., Astolfi, M. L., ... & Tranfo, G. (2022). Toxics, 10(5), 267. [4] Thorpe, A., & Harrison, R. M. (2008). Science of the total environment, 400(1-3), 270-282. [5] Massimi, L., Ristorini, M., Simonetti, G., Frezzini, M. A., Astolfi, M. L., & Canepari, S. (2020). Environmental Pollution, 266, 115271
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