Enhancing Cd(II) Adsorption on Rice Straw Biochar by Modification of Iron and Manganese Oxides

2021 ◽  
Author(s):  
Wen-Tao TAN ◽  
Hang ZHOU ◽  
Shang-Feng TANG ◽  
Peng ZENG ◽  
Jiao-Feng GU ◽  
...  
Keyword(s):  
Rice Straw ◽  
Manganese Oxides ◽  
Rice Straw Biochar ◽  
Iron And Manganese

Ultrasound-Assisted Citric Acid Extraction of Zinc in Plateau Red Soil and Tessier Speciation Study

2013 ◽  
Vol 726-731 ◽  
pp. 4464-4467
Author(s):  
Wei Wei ◽  
Xue Jin Zhou ◽  
Yun Tao Gao
Keyword(s):  
Heavy Metal ◽  
Citric Acid ◽  
Manganese Oxides ◽  
Red Soil ◽  
Extraction Rate ◽  
Acid Extraction ◽  
Speciation Study ◽  
Ultrasonic Assisted ◽  
Ultrasound Assisted ◽  
Iron And Manganese

Taking plateau red soil as research object, using the ultrasonic-assisted organic acid extraction the heavy metal zinc in it, and analyze the form of zinc. Results showed that the extraction rate can reach 68%, with the increase of time, the extraction effect of zinc is obviously enhanced in this method. Ultrasonic-assisted citric acid extraction soil can increase the extraction rate of exchangeable, bound to carbonates and bound to iron and manganese oxides relatively.

Adsorption characteristics of modified rice straw biochar for Zn and in-situ remediation of Zn contaminated soil

2021 ◽  
Vol 22 ◽  
pp. 101388
Author(s):  
Shichao Liu ◽  
Zhonglei Xie ◽  
Yintao Zhu ◽  
Yanmiao Zhu ◽  
Yan Jiang ◽  
...  
Keyword(s):  
Rice Straw ◽  
Contaminated Soil ◽  
In Situ Remediation ◽  
Adsorption Characteristics ◽  
Rice Straw Biochar

Strategies for EELS Data Analysis. Introducing UMAP and HDBSCAN for Dimensionality Reduction and Clustering

2021 ◽  
pp. 1-14
Author(s):  
Javier Blanco-Portals ◽  
Francesca Peiró ◽  
Sònia Estradé
Keyword(s):  
Dimensionality Reduction ◽  
Clustering Analysis ◽  
Manganese Oxides ◽  
Spatial Clustering ◽  
State Of The Art ◽  
Core Loss ◽  
Nonnegative Matrix ◽  
Case Scenario ◽  
Electron Energy Loss ◽  
Iron And Manganese

Hierarchical density-based spatial clustering of applications with noise (HDBSCAN) and uniform manifold approximation and projection (UMAP), two new state-of-the-art algorithms for clustering analysis, and dimensionality reduction, respectively, are proposed for the segmentation of core-loss electron energy loss spectroscopy (EELS) spectrum images. The performances of UMAP and HDBSCAN are systematically compared to the other clustering analysis approaches used in EELS in the literature using a known synthetic dataset. Better results are found for these new approaches. Furthermore, UMAP and HDBSCAN are showcased in a real experimental dataset from a core–shell nanoparticle of iron and manganese oxides, as well as the triple combination nonnegative matrix factorization–UMAP–HDBSCAN. The results obtained indicate how the complementary use of different combinations may be beneficial in a real-case scenario to attain a complete picture, as different algorithms highlight different aspects of the dataset studied.

Improving methane yield from organic fraction of municipal solid waste (OFMSW) with magnetic rice-straw biochar

2017 ◽  
Vol 245 ◽  
pp. 1058-1066 ◽  
Author(s):  
Yong Qin ◽  
Haoshu Wang ◽  
Xiangru Li ◽  
Jay Jiayang Cheng ◽  
Weixiang Wu
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Rice Straw ◽  
Methane Yield ◽  
Organic Fraction ◽  
Rice Straw Biochar

scholarly journals Simultaneous removal of cadmium and sulfamethoxazole from aqueous solution by rice straw biochar

2013 ◽  
Vol 14 (7) ◽  
pp. 640-649 ◽  
Author(s):  
Xuan Han ◽  
Cheng-feng Liang ◽  
Ting-qiang Li ◽  
Kai Wang ◽  
Hua-gang Huang ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Rice Straw ◽  
Simultaneous Removal ◽  
Rice Straw Biochar

Rice straw, biochar and calcite incorporation enhance nickel (Ni) immobilization in contaminated soil and Ni removal capacity

Chemosphere ◽  
2020 ◽  
Vol 244 ◽  
pp. 125418 ◽  
Author(s):  
Umeed Ali ◽  
Muhammad Shaaban ◽  
Saqib Bashir ◽  
Ruili Gao ◽  
Qingling Fu ◽  
...  
Keyword(s):  
Rice Straw ◽  
Contaminated Soil ◽  
Removal Capacity ◽  
Rice Straw Biochar

scholarly journals A study of atrazine adsorption by using the rice straw synthesized adsorbent

2018 ◽  
Vol 192 ◽  
pp. 03035
Author(s):  
Thachanan Samanmulya ◽  
Pawinee Deetae ◽  
Patthranit Wongpromrat
Keyword(s):  
Surface Area ◽  
Rice Straw ◽  
Elemental Analysis ◽  
Pore Volume ◽  
Second Order ◽  
Batch Adsorption ◽  
Physico Chemical ◽  
Bet Analysis ◽  
Rice Straw Biochar ◽  
Pseudo Second Order

This study focused on adsorption of atrazine in adsorbent synthesized from Rice Straw. Rice Straw biochar were used in the study as they exhibited significantly high adsorption capacity for pesticide. Briefly, rice straw was pyrolysis at 600°C under nitrogen then biochar was modified using H3PO4. Biochar were characterized for their physico-chemical characteristics. The elemental analysis of biochar was performed using CHNS Analysis. The surface area and pore volume of adsorbents were estimated using the Brunauer, Emmett, and Teller (BET Analysis). In parts of Batch adsorption experiments was performed in range of room temperature and were divided to 2 parts. Part 1: Study of the kinetics adsorption was investigated using two models, namely, the pseudo-first-order and the pseudo-second-order models. Part 2: study of Adsorption isotherms. The results of CHNS analysis shows the elemental analysis that 51.795% of C, 0.763% of H, 1.634% of N and 0.654 % of S and the result of BET Analysis shows the surface area is 372.4 m2/g and pore volume of adsorbents is 0.315 cm3. From plotting between qt(mg/g) and time (t) shows the dynamics of the adsorption of atrazine onto the biochar at 15 ppm of initial atrazine concentrations. In general, atrazine was adsorbed quickly around 1-30 min. This could be due to fast mass transfer of solute from the solution to surface of adsorbent s as a result of concentration gradient of the solute. The study of the kinetics adsorption showed that the pseudo-second-order model best described the adsorption which agrees with chemisorption as the rate controlling mechanism.

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