Skip to content
#diffusion models Open access

Neem mediated silver nanoparticles for reactive orange dye adsorption with statistical optimization and artificial neural network modeling

Oct 2026 · Discover Materials
Adsorption and biosorption for pollutant removal

Abstract

The uncontrolled discharge of synthetic dyes into aquatic systems poses serious environmental and health hazards to humans and animals. Therefore, green, reusable, and effective adsorbents must be developed for sustainable treatment. This study investigated biosynthesized AgNPs as an adsorbent for RO dye removal. To confirm their crystalline structures, functional biomolecules, and surface morphologies, the nanoparticles were analyzed using XRD, FTIR, and FESEM-EDS. Batch experiments showed that dye removal was strongly affected by operational parameters. The maximum dye removal efficiency of 97% was achieved at a pH of 3, 70 °C, 2.5 g/L adsorbent dosage, and 60 min contact time. Kinetic and isotherm studies indicated that adsorption proceeded through a heterogeneous multistep process influenced by diffusion and surface interactions. Equilibrium data were fitted best with the Dubinin–Radushkevich and Temkin isotherms, indicating favorable adsorption on a heterogeneous surface. The ΔH° and ΔS° values were 79.57 kJ mol ⁻¹ and 247.4 J mol⁻¹ K⁻¹, respectively, confirming that the process was endothermic and spontaneous. The regeneration study demonstrated stable adsorption efficiency over five cycles, followed by gradual decline. RSM identified the optimum operating conditions for RO removal as 2.5 g L⁻¹ AgNPs dosage, pH ≈ 3, at 70 °C for 60 min, and ANN modeling showed strong predictive performance for the nonlinear adsorption behavior with temperature showing greater influence on adsorption behavior. Overall, neem-mediated AgNPs appear to be an eco-friendly, efficient, and reusable adsorbent for RO dye removal and may support sustainable water remediation applications.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.