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
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
Traiettorie di sviluppo e compatibilità ambientali nella montagna abruzzese. La Marsica fucense come caso di studio
Pathways of Development and Environmental Compatibility in the Abruzzo Mountains: the Marsica Fucense as a case study
Galileo's Mathematization of Nature at the Crossroad between the Empiricist and the Kantian Tradition
Innovative experimental approach for identifying spatial relationships between PM oxidative potential and PM chemical composition and sources
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
Programmazione per aree e tendenze occupazionali in una regione bifronte: l'Abruzzo tra Nord e Sud dell'Europa del 1992
Il paesaggio. Assetto e dinamiche evolutive delle componenti geopolitiche ed economiche dell'Alto bacino del Vomano
Effect of air quality on oxidative stress and elemental levels in hair and urine of Italian and Chilean students
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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