ArticleHeliyon2023
Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 82 citations in OpenAlex.
- Re-engineering alum sludge using choline-glycine ionic liquid for enhanced dewatering and dye adsorption in wastewater treatment.Scientific reports · 2026Article
- Sol-Gel Synthesized CuFeGels (Basel, Switzerland) · 2025Article
- Methylene blue and methyl orange removal using green rust as a low-cost, sustainable adsorbent and photocatalyst.RSC advances · 2025Article
- Visible Light Photo-Fenton with Hybrid Activated Carbon and Metal Ferrites for Efficient Treatment of Methyl Orange (Azo Dye).Molecules (Basel, Switzerland) · 2025Article
- Genomic basis and functional characterization of the exopolysaccharide production by a thermotolerantFrontiers in microbiology · 2025Article
- Photocatalysis as a pre-discharge treatment to improve the effect of textile dyes on human health: A critical review.Heliyon · 2024Review
- Valorizing date palm spikelets into activated carbon-derived composite for methyl orange adsorption: advancing circular bioeconomy in wastewater treatment-a comprehensive study on its equilibrium, kinetics, thermodynamics, and mechanisms.Environmental science and pollution research international · 2024Article
- ZnO@ activated carbon derived from wood sawdust as adsorbent for removal of methyl red and methyl orange from aqueous solutions.Scientific reports · 2024Article
- Preparation of Rumex abyssinicus based biosorbent for the removal of methyl orange from aqueous solution.Heliyon · 2023Article
- Olive stone as an eco-friendly bio-adsorbent for elimination of methylene blue dye from industrial wastewater.Scientific reports · 2023Article
- Article
- Enhanced Adsorption Performance Cross-Linked Chitosan/Polymers · 2023Article
- Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique. Instrumental investigations such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Brunauer-Emmett-Teller (BET) analysis were used to assess the physicochemical parameters of adsorbent. By changing operational parameters including adsorbent dosage (0.01-0.03 g), solution pH 3-8, initial dye concentration (5-20 mg/L), and contact time (2-60 min), the viability of date seeds for the adsorptive removal of methyl orange dye from aqueous solution was assessed in a batch procedure. The system followed the pseudo 2nd order kinetic model for DPAC adsorbent, according to the kinetic study (R2 = 0.9973). The mean square error (MSE), relative root mean square error (RRMSE), root mean square error (RMSE), mean absolute percentage error (MAPE), relative error (RE), and correlation coefficient (R
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