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Adsorption of bimetal from aqueous solution on plum seed activated carbon synthesized by pyrocarbonic acid microwave method
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Abstract<sec><title>BACKGROUND

This article presents the simultaneous adsorption of bimetal Cu2+ and Zn2+ from an aqueous solution using activated carbon synthesized from a plum seed precursor by sulfuric acid and microwave activation: plum seeds chemically activated by 45% (w/w) sulfuric acid with 2:1 ratio for 4 h, then carbonized for 2 h at 700 °C and the product obtained activated in a microwave oven for 20 min at 700 W for final of activation. Plum seeds and activated carbon produced were characterized in terms of their physical and chemical composition using Brunauer–Emmett–Teller measurements, field emission scanning electron microscopy and Fourier transform infrared spectroscopy. The effects of absorption time, bimetal solution pH, bimetal concentration and dosage of activated carbon on the capacity of adsorption and removal efficiency were studied with Design‐Expert software using response surface methodology with the I‐optimal method for experimental data analysis.

RESULTS

The results showed that the statistical analysis of Cu2+ and Zn2+ removal efficiency followed the quadratic models generated by Design‐Expert software with significant P value (P < 0.0001) and the optimum values of removal efficiencies were 99.9268% for Cu2+ and 99.34% for Zn2+ at an adsorption time of 4.98 h, pH of 7.94, bimetal concentration of 38.467 mg L−1 and adsorbent dose of 1485.294 mg (100 mL)−1. The equilibrium adsorption data were analyzed by Langmuir and Freundlich isotherm models and there was a significant agreement in the results with the Freundlich model with R2 = 0.9841 for Cu2+ and R2 = 0.9927 for Zn2+. Likewise, the data were found to fit with a pseudo‐second‐order model with R2 = 0.9989 for Cu2+ and R2 = 0.9948 for Zn2+ as compared to a pseudo‐first‐order model.

CONCLUSION

Activated carbon synthesized from plum seeds with chemical and microwave activation could be effectively used as an adsorbent for bimetal Cu2+ and Zn2+ in aqueous solution. © 2024 Society of Chemical Industry (SCI).

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Publication Date
Thu Aug 08 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
A Study of poly4-oxo-4-(4-sulfamoylphenylamino) but-2-enoic acid as a good anti – Corrosion of 316L stainless steel in 0.2M hydrochloric acid solution.
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Publication Date
Thu Jan 01 2015
Journal Name
Journal Of Madenat Alelem College
Antimicrobial effect of Trigonella foenum graecum Seed Extracts against Tested Bacteria Isolated from Meat and Fish
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A qualitative chemical test was performed on functional groups extracted from fenugreek plant and its extracts (aqueous, alcoholic and volatile oil). Results revealed that fenugreek seeds contain the main functional groups, while extracts are varied accorodihg to their content of functional groups qualitatively and quantitively. Moreover, inhibition activity was tested for extracts of fenugreek seeds (aqueous, alcoholic and volatile oil). against gram negative (Salmonella typhimurium, Escherichia coli and Pseudomonas aeruginosa) and gram positive (Staphylococcus aureus) by the ager well diffusion method. Data have revealed that inhibition activity was different in accoradance with extract solvent and the tested microorgan. Oil extract (15)%

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Publication Date
Fri Dec 01 2023
Journal Name
Environmental Processes
Removal of Dyes from Aqueous Solutions using Non-Thermal Plasma
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Publication Date
Sun Dec 31 2000
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
The Influence of Temperature on Corrosion Inhibition of Carbon Steel in Air-Saturated 7NH3PO4 by Potassium Iodide
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Publication Date
Tue Apr 18 2017
Journal Name
Transactions Of The Asabe
Effect of Drying Conditions on Triticale Seed Germination and Rice Weevil Infestation
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The combination of high protein content and a soft seed coat makes the wheat-rye hybrid Triticale (Triticosecale) vulnerable to attack by rice weevils. Drying triticale grain to moisture contents safe for storage can prevent infestation by rice weevils, but if grain is being stored for seed, high drying temperatures can affect seed germination. Grain can be effectively dried at low temperatures, but low-temperature drying is difficult in hot, humid regions such as the Gulf Coast. This study nvestigated the effects of drying temperatures from 35°C to 45°C on triticale seed germination and found no statistical differences between the germination rates of the seed at any of the drying temperatures and the germination rates of controls. Final

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Publication Date
Fri Nov 01 2013
Journal Name
The Iraqi Postgraduate Medical Journal
Treatment of Tinea Corporis by Topical 10% Zinc Sulfate Solution
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KE Sharquie, AA Noaimi, S Al-Hashimy, IGF Al-Tereihi, The Iraqi Postgraduate Medical Journal, 2013 - Cited by 5

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Publication Date
Thu Dec 19 2024
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Baghdad Science Journal
Solution of Wave Equation by Linear Regression Artificial Neural Network
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تعتبر المعادلات التفاضلية الموجية من اهم المواضيع التي تمثل على سبيل المثال الحركة الموجية للاهتزازات الأرضية . ومن هنا فان ايجاد  حلول تقريبيه لمثل هذه المعادلات بدقة وسرعه عالية وبشكل اسرع من الحلول التحليلية والمعقدة , اصبح ممكنا من خلال استخدام الذكاء الاصطناعي واساليب  التعلم  الالي. في هذا البحث هناك ثلاثة أهداف الأول هو تحويل مشكلة القيمة الأولية للمعادلة الموجية إلى شكلها القانوني وإيجاد حلها ا

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Sun Nov 01 2015
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Journal Of Cosmetics, Dermatological Sciences And Applications
Treatment of basal cell carcinoma by topical 25% podophyllin solution
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KE Sharquie, AA Noaimi, MS Al-Zoubaidi, Journal of Cosmetics, Dermatological Sciences and Applications, 2015 - Cited by 8

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Publication Date
Thu Mar 01 2007
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Al-khwarizmi Engineering Journal
The Inverse Solution Of Dexterous Robot By Using Neural Networks
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The inverse kinematics of redundant manipulators has infinite solutions by using conventional methods, so that, this work presents applicability of intelligent tool (artificial neural network ANN) for finding one desired solution from these solutions. The inverse analysis and trajectory planning of a three link redundant planar robot have been studied in this work using a proposed dual neural networks model (DNNM), which shows a predictable time decreasing in the training session. The effect of the number of the training sets on the DNNM output and the number of NN layers have been studied. Several trajectories have been implemented using point to point trajectory planning algorithm with DNNM and the result shows good accuracy of the end

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Publication Date
Thu Dec 01 2016
Journal Name
Bioresource Technology
Date seed characterisation, substrate extraction and process modelling for the production of polyhydroxybutyrate by Cupriavidus necator
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