arsenic retention
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Author(s):  
Adnan Khan ◽  
Viqar Husain ◽  
Suhail Anjum

Groundwater arsenic contamination is recently reported in the alluvial aquifers of Indus deltaic plain. Since the source of arsenic is believed to be natural as widely reported in other deltaic aquifers of same age (Holocene), it is imperative to evaluate the soil characteristics for identifying the sources of arsenic and its mobilization mechanism. For this purpose, 49 soil samples were collected from near aquifer sites in all three talukas of Tando Muhammad Khan district. Visual analysis revealed that soil is light grey in color with fine texture ranging from silt to silty-clay. The X-ray diffraction study reveals the occurrence of quartz, mica and clay minerals in all collected soil samples. Plagioclase feldspar is second dominant mineral group in the order of albite (calcian) >albite>albite (disordered) = anorthite > anorthite (sodian) = anorthite (disordered). Calcite is major carbonate mineral which is detected in 40 out of total 49 soil samples. The occurrence of other occasional minerals includes amesite, nitro-calcite, rutile and zinnwaldite. The frequency of micaceous minerals in collected samples is in the order of clinochlore> polylithionite> Biotite > phlogopite> muscovite. Polylithionite is found in about half of the total soil samples, where most of the aquifers contain arsenic >20 μg/L (Khan, 2014). Phlogopite is observed in seven soil samples which are also associated with clinochlore. On the other hand, biotite is found in 14 sediment samples collected from Tando Muhammad Khan and Bhulri Shah Karim talukas and muscovite occurs in three soil samples of Tando Muhammad Khan taluka. It can be concluded from present study that fine-grained Phyllosilicates have strong affinity for arsenic retention. These sediments are important source of arsenic Indus delta and other deltaic plains of the world.


Chemosphere ◽  
2019 ◽  
Vol 237 ◽  
pp. 124503 ◽  
Author(s):  
Danni Zhang ◽  
Shaofeng Wang ◽  
Mario A. Gomez ◽  
Ying Wang ◽  
Yongfeng Jia

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2611-2611
Author(s):  
Linya Wang ◽  
Yuanyuan Zhang ◽  
Ruidong Zhang ◽  
Jiaole Yu ◽  
Ying Wu ◽  
...  

Objective Intravenous arsenic trioxide (ATO) and all-trans retinoic acid have become the front-line treatments for patients with acute promyelocytic leukemia (APL). Realgar-Indigo naturalis formula (RIF), an oral arsenic drug, not only shows a clinical efficacy comparable to ATO but also promotes incorporating an outpatient postremission therapy model into clinical practice for both low-risk and high-risk APL patients in China. However, the safety of ATO/RIF used in children with APL is unknown. To assess the safety of arsenic (ATO/RIF) administrated in children with APL, we designed the study. Methods Children with newly diagnosed APL treated with CCLG-APL2016 protocol (ChiCTR-OIN-17011227) in Beijing Children's Hospital from July 2016 to December 2018 were eligible for the study. The arsenic concentrations in different tissues, including plasma, urine, hair and nail, were measured at 10 time points: before ATO/RIF(D0), on the 7th, 14th and 28th day of ATO/RIF administration(D7, D14, D28), on the end of consolidation therapy (Con), during the 10 weeks of maintenance therapy (W10), on the cessation of therapy, after six months, one year and 1.5 years without arsenic administration. Adverse reactions were observed to evaluate the safety of arsenic received in children with APL. Results Nineteen patients with newly diagnosed APL were enrolled, including 9 boys and 7 girls with an onset average age of (10.9±3.7) years. There were 14 patients in low-risk group (white cell count <10,000/ul) and 5 patients in high-risk group (white cell count≥10,000/ul). All of them got hematologic complete remission (HCR) and molecular complete remission (MCR). The time to get HCR and MCR were 31 days (range, 27~74days) and (72.2±16.4) days, respectively. Besides, there were 13 patients getting ATO and 6 patients getting RIF in induction phase, and all patients receiving RIF as an outpatient postremission therapy. It showed that plasma and urine arsenic levels were significantly elevated after ATO/RIF administration. The median plasma arsenic ranged from 38.4 ng/ml to 76.10 ng/ml on D7, D14, D28, Con and W10 while the median urine arsenic retention ranged from 1562.80ng/ml to 3791.00ng/ml on D7, D14, D28, Con and W10. Plasma arsenic level rapidly decreased to 1.01 ng/ml after six months without RIF administration, which was slightly higher than D0 (1.01ng/ml vs 0.60ng/ml, P=0.043) and decreased to normal after 1 year without arsenic administration compared with D0 (0.55 ng/ml vs 0.60ng/ml, P=0.655). Urine arsenic level decreased to normal within 0~6 months off therapy (25.80ng/ml vs 13.74ng/ml, P=0.866). Hair arsenic (6480.95ng/g, range 2616.20-14683.70ng/g) and nail arsenic levels (17896.85ng/g, range 400.00-30334.00ng/g) peaked at the time of cessation of therapy. Hair arsenic level decreased to normal within half a year off arsenic (156.50 ng/g vs 103.45 ng/g, P=0.345) while nail arsenic retention decreased to normal after 1 year off arsenic (P=0.655). In addition, Spearman rank correlation analysis showed that plasma arsenic concentration was positively correlated with urine (r=0.825, P<0.001), hair (r=0.595, P<0.001) and nail (r=0.584, P<0.001) arsenic. Urine arsenic were also positively correlated with hair (r=0.624, P<0.001), and nail (r=0.575, P<0.001). And arsenic concentration in hair was positively correlated with nail (r=0.805, P<0.001), too. Conclusions Through the detection of arsenic concentration in different periods and different tissues, it was found that the plasma arsenic concentration could be maintained within the effective concentration range in each treatment stage, and the arsenic concentration in plasma and hair gradually decreased to normal after six months off arsenic. Urine and nail arsenic went down to normal after 1 year off arsenic. Up to now, with a longest follow-up period of 34.7 months and the mean follow-up time of 19.6 months, the short-term response of arsenic disappeared after symptomatic therapy or arsenic reduction, and no chronic side effects of arsenic were observed. Therefore, the use of ATO/RIF in children with APL is safe, but it still needs long-term follow-up. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 12 (22) ◽  
Author(s):  
Kiran Hina ◽  
Maham Abbas ◽  
Qaiser Hussain ◽  
Muhammad Arshad ◽  
Shafaqat Ali ◽  
...  

Author(s):  
M.T. Alarcón-Herrera ◽  
M.A. Olmos-Márquez ◽  
J. Ochoa ◽  
I.R. Martin-Domínguez

Author(s):  
D. Bolaños ◽  
V. Sánchez ◽  
J. Paz ◽  
M. Balseiro ◽  
L. Cumbal

2019 ◽  
Vol 648 ◽  
pp. 720-727 ◽  
Author(s):  
Ujjal Mandal ◽  
Payel Singh ◽  
Amit Kumar Kundu ◽  
Debashis Chatterjee ◽  
Jerome Nriagu ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Darío R. Bolaños-Guerrón ◽  
Viviana P. Sánchez-Gómez ◽  
Johanna Paz ◽  
Andrés R. Izquierdo ◽  
Carina Stael ◽  
...  

Mining activities generate a large amount of solid waste and acid drains that contain heavy metals in high concentrations. In wastewater of gold mines from Southern Ecuador (Portovelo), arsenic concentrations between 4.8 and 27.5 μg/L have been detected. In this context, the objective of this study is to prepare a technosol, which was used in the capture of arsenic dissolved in the acid drains. Technosol was elaborated using a clay-silty soil (iron-rich soil), collected in the mining area, and iron nanoparticles synthetized with the extract of orange peel. The technosol was experimentally characterized using adsorption isotherms and uptake kinetics. Besides, a mathematical model was developed using Vensim® to scale the process and predict the dynamic behavior of the adsorbent. Results indicate that adsorption behavior of technosol can be fitted to Langmuir isotherms (R2 > 0.9), with 95% of adsorption of As from an input of 4.5 mg/L. The model will be useful to predict the time needed to remedy contaminated water and the duration of the adsorbent (until its saturation).


2018 ◽  
Vol 129 ◽  
pp. 123-132 ◽  
Author(s):  
Harald Neidhardt ◽  
Lenny H.E. Winkel ◽  
Ralf Kaegi ◽  
Caroline Stengel ◽  
Pham T.K. Trang ◽  
...  

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