iron distribution
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2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ale Vidal Elgueta ◽  
Nathalia Navarro ◽  
Mauricio Uribe ◽  
Kevin Robe ◽  
Frédéric Gaymard ◽  
...  

AbstractWe performed a histological and quantitative study of iron in archaeological maize seeds from prehispanic times recovered from Tarapacá, Atacama Desert. Also, we examined iron distribution changes at the cell level in embryos from ancient versus new varieties of maize. Our results show a progressive decrease in iron concentration from the oldest maize to modern specimens. We interpret the results as an effect of prehispanic agriculture over the micronutrient composition of maize.



Author(s):  
Michela Asperti ◽  
Elisa Brilli ◽  
Andrea Denardo ◽  
Magdalena Gryzik ◽  
Francesca Pagani ◽  
...  


2021 ◽  
Author(s):  
Amina Khaled ◽  
Minghui Zhang ◽  
Barbara Ervens

Abstract. Reactive oxygen species (ROS), such as OH, HO2, H2O2 affect the oxidation capacity of the atmosphere and cause adverse health effects of particulate matter. The role of transition metal ions (TMIs) in impacting the ROS concentrations and conversions in the atmospheric aqueous phase has been recognized for a long time. Model studies usually assume that the total TMI concentration as measured in bulk aerosol or cloud water samples is distributed equally across all particles or droplets. This assumption is contrary to single-particle measurements that have shown that only a small number fraction of particles contain iron and other TMIs (FN,Fe < 100 %) which implies that also not all cloud droplets contain TMIs. In the current study, we apply a box model with an explicit multiphase chemical mechanism to simulate ROS formation and cycling in (i) aqueous aerosol particles and (ii) cloud droplets. Model simulations are performed for the range of 1 % ≤ FN,Fe ≤ 100 % for constant pH values of 3, 4.5 and 6 and constant total iron concentration (10 or 50 . Model results are compared for two sets of simulations with FN,Fe < 100 % (FeN < 100) and 100 % (FeBulk). We find largest differences between model results in OH and HO2/O2− concentrations at pH = 6. Under these conditions, HO2 is subsaturated in the aqueous phase because of its high effective Henry's law constant and the fast chemical loss reactions of the O2− radical anion. As the main reduction of process of Fe(III) is its reaction with HO2/O2−, we show that the HO2 subsaturation leads to predicted Fe(II)/Fe(total) ratios for FN,Fe < 100 % that are lower by a factor of ≤ 2 as compared to bulk model approaches. This trend is largely independent of the total iron concentration, as both chemical source and sink rates of HO2/O2− scale with the iron concentration. The chemical radical (OH, HO2) loss in particles is usually compensated by its uptake from the gas phase. We compare model-derived reactive uptake parameters γ(OH) and γ(HO2) for the full range of FN,Fe. While γ(OH) is not affected by the iron distribution, the calculated γ(HO2) range from 0.0004 to 0.03 for FN,Fe = 1 % and 100 %, respectively. Implications of these findings are discussed for the application of lab-derived γ(HO2) in models to present reactive HO2 uptake on aerosols. As the oxidant budget in aerosol particles and cloud droplets is related to the oxidative potential, we also conclude that the iron distribution FN,Fe should be taken into account to estimate the ROS concentrations and health impacts of particulate matter that might be overestimated by bulk sampling and model approaches. Our study suggests that the number concentration of iron-containing particles may be more important than the total iron mass concentration in determining ROS budgets and uptake rates in cloud and aerosol water.



2021 ◽  
Author(s):  
Amina Khaled ◽  
Minghui Zhang ◽  
Barbara Ervens

&lt;p&gt;Reactive oxygen species (ROS), such as hydroxyl radical (OH&amp;#8226;), hydroperoxy radicals (HO2&amp;#8226;/O2-), and hydrogen peroxide (H2O2), are produced in cloud droplets and aqueous aerosol. Multiphase model studies suggest that the Fenton reaction, i.e. the oxidation of Fe(II) by H2O2 represents one of the main sources of the OH radical in the aqueous phase.&lt;/p&gt;&lt;p&gt;Current cloud and aerosol multiphase chemistry models are usually initialized with equal iron concentrations in all droplets or particles as derived from bulk samples of cloud water or aerosol composition. However, analysis of single aerosol particles has revealed that only a small number fraction of particles and, thus, of cloud droplets contain iron.&lt;/p&gt;&lt;p&gt;The aim of our study is to identify the impacts of the iron distribution in cloud droplets or aqueous aerosol particles on the total (gas + aqueous) budgets of OH, HO2, H2O2 and O3 in the multiphase system.&lt;/p&gt;&lt;p&gt;By means of model studies, we compare predicted oxidant budgets based on the assumptions of iron distributed among all droplets or particles versus the same iron mass concentrated in a few droplets (or particles) in the total population only. Our results suggest that the traditional approach based on bulk iron concentrations may significantly underestimate total OH budgets, whereas the predicted levels of H2O2, HO2/O2- and ozone are less affected. The reasons for the different findings between (i) the various oxidants and (ii) cloud droplets vs aerosol particles will be discussed. In summary, our model studies suggest that oxidant levels and oxidation potentials of particulate matter in the atmosphere can only be accurately assessed if particle- and size-resolved aerosol composition is accounted for.&lt;/p&gt;



Author(s):  
Amaury De Barros ◽  
Germain Arribarat ◽  
Jean Albert Lotterie ◽  
Gaelle Dominguez ◽  
Patrick Chaynes ◽  
...  


2021 ◽  
Author(s):  
B. E. Egamberdiev ◽  
A. S. Mallayev ◽  
Sh. A. Sayfulloev ◽  
M. I. Rahmatov


MethodsX ◽  
2021 ◽  
Vol 8 ◽  
pp. 101248
Author(s):  
Tong He ◽  
Juan Li ◽  
Jessica Gray ◽  
Ying Gu




2020 ◽  
Author(s):  
Toshimasa Doi ◽  
Satoshi Osafune ◽  
Shuhei Masuda ◽  
Hajime Obata ◽  
Kazuhiro Misumi ◽  
...  
Keyword(s):  


2020 ◽  
Vol 70 ◽  
pp. 29-35 ◽  
Author(s):  
Liche Zhou ◽  
Yan Chen ◽  
Yan Li ◽  
Sara Gharabaghi ◽  
Yongsheng Chen ◽  
...  
Keyword(s):  


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