[HTML][HTML] Ultrasound assisted extraction of Maxilon Red GRL dye from water samples using cobalt ferrite nanoparticles loaded on activated carbon as sorbent …
In this research, a selective, simple and rapid ultrasound assisted dispersive solid-phase
micro-microextraction (UA-DSPME) was developed using cobalt ferrite nanoparticles loaded …
micro-microextraction (UA-DSPME) was developed using cobalt ferrite nanoparticles loaded …
[HTML][HTML] Optimization and modeling of preconcentration and determination of dyes based on ultrasound assisted-dispersive liquid–liquid microextraction coupled with …
Present study is based on describing an ultrasound-assisted dispersive liquid–liquid
microextraction coupled with derivative spectrophotometry (UAS-DLLME-UV–vis) as useful …
microextraction coupled with derivative spectrophotometry (UAS-DLLME-UV–vis) as useful …
Artificial neural networks with response surface methodology for optimization of selective CO2 hydrogenation using K-promoted iron catalyst in a microchannel reactor
CO 2 hydrogenation was optimized by a combination of AANs (Artificial Neuron Networks)
with RSM (Response Surface Methodology) in a microchannel reactor using a K-promoted …
with RSM (Response Surface Methodology) in a microchannel reactor using a K-promoted …
Removal of Congo red from aqueous solution by hydroxyapatite nanoparticles loaded on zein as an efficient and green adsorbent: response surface methodology and …
This study is based on the application of hydroxyapatite nanoparticles loaded on Zein
(Zein/nHAp) as an efficient adsorbent for the removal of Congo red from aqueous solutions …
(Zein/nHAp) as an efficient adsorbent for the removal of Congo red from aqueous solutions …
Experimental methods in chemical engineering: Artificial neural networks–ANNs
Artificial neural networks (ANNs) are one of the most powerful and versatile tools provided
by artificial intelligence and they have now been exploited by chemical engineers for several …
by artificial intelligence and they have now been exploited by chemical engineers for several …
Thermochemical pretreatment enhanced bioconversion of elephant grass (Pennisetum purpureum): insight on the production of sugars and lignin
D Haldar, MK Purkait - Biomass Conversion and Biorefinery, 2020 - Springer
Pennisetum purpureum, commonly known as elephant grass, possesses an immense ability
to be recognized as bioenergy crop due to its high carbohydrate content and ample …
to be recognized as bioenergy crop due to its high carbohydrate content and ample …
Thermodynamic and kinetic studies of methylene blue degradation using reactive adsorption and its comparison with adsorption
Granular activated carbon doped with iron (Fe-GAC) was prepared and methylene blue
(MB) removal efficiency was tested using reactive adsorption (Fe-GAC/H2O2) and …
(MB) removal efficiency was tested using reactive adsorption (Fe-GAC/H2O2) and …
Removal of aqueous methylene blue dye over Vallisneria Natans biosorbent using artificial neural network and statistical response surface methodology analysis
MA Musa, S Chowdhury, S Biswas, SMN Alam… - Journal of Molecular …, 2024 - Elsevier
Azo-dye compounds prevalent in textile wastewater pose environmental risks. This research
focuses on examining the kinetics and removal percentage of methylene blue (MB) using …
focuses on examining the kinetics and removal percentage of methylene blue (MB) using …
Fixed-bed column performances of azure-II and auramine-O adsorption by Pinus eldarica stalks activated carbon and its composite with zno nanoparticles …
A continuous adsorption was used for removal of azure II (AZ II) and auramine O (AO) from
aqueous solutions using Pinus eldarica stalks activated carbon (PES-AC) from aqueous …
aqueous solutions using Pinus eldarica stalks activated carbon (PES-AC) from aqueous …
A review of the modeling of adsorption of organic and inorganic pollutants from water using artificial neural networks
HE Reynel-Ávila, IA Aguayo-Villarreal… - Adsorption Science …, 2022 - journals.sagepub.com
The application of artificial neural networks on adsorption modeling has significantly
increased during the last decades. These artificial intelligence models have been utilized to …
increased during the last decades. These artificial intelligence models have been utilized to …