Statistical optimization of the phytoremediation of arsenic by ludwigia octovalvis in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN)

QR Code

Statistical optimization of the phytoremediation of arsenic by ludwigia octovalvis in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN)

In this study, the removal of arsenic (As) by plant, Ludwigia octovalvis, in a pilot reed bed was optimized. A Box-Behnken design was employed including a comparative analysis of both Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) for the prediction of maximum arsenic remo...

Full description

Bibliographic Details
Main Authors:	Titah, Harmin Sulistiyaning, Halmi, Mohd Izuan Effendi, Sheikh Abdullah, Siti Rozaimah, Abu Hasan, Hassimi, Idris, Mushrifah, Anuar, Nurina
Format:	Article
Language:	English
Published:	Taylor & Francis 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/73966/ http://psasir.upm.edu.my/id/eprint/73966/1/Statistical%20optimization%20of%20the%20phytoremediation%20of%20arsenic%20by%20ludwigia%20octovalvis%20in%20a%20pilot%20reed%20bed%20using%20response%20surface%20methodology%20%28RSM%29%20versus%20an%20artificial%20neural%20network%20%28ANN%29.pdf

Similar Items

Potential use of Pennisetum purpureum for phytoremediation of arsenic in treatment sand: a phytotoxicity study
by: Rahman, Md Ekhlasur, et al.
Published: (2024)

Phytoremediation studies on arsenic contaminated soils in Malaysia
by: Sundara Rajoo, ‪Keeren, et al.
Published: (2017)

Impact of aeration on plant growth-promoting rhizobacteria assisted phytoremediation capability of arsenic in artificial wetland system
by: Rahman, Md Ekhlasur, et al.
Published: (2025)

Can AnnAt1 of Arabidopsis thaliana contribute to Pb phytoremediation?
by: Phang, Ing Chia, et al.
Published: (2010)

Reed-Muller codes: an overview
by: Khalifa, Othman Omran
Published: (2011)

Resistance of native bacteria isolated from activated sludge towards iron and manganese
by: Marsidi, Nuratiqah, et al.
Published: (2019)

Prediction of Etching Rate of Alumino-Silicate Glass by RSM and ANN
by: Ting, Huey Tze, et al.
Published: (2009)

A Critical Review of the Arsenic Uptake Mechanisms and Phytoremediation Potential of Pteris vittata
by: Danh, L., et al.
Published: (2014)

Reed-Muller Codec Simulation Performance
by: Khalifa, Othman Omran, et al.
Published: (2008)

Building reed houses in the South Iraq Marshland
by: Saad, Qassim
Published: (2018)

Shoot transcriptome of the giant reed, Arundo donax
by: Barrero, R., et al.
Published: (2015)

Design reed controller for MIDI auto-saxophone
by: Khairunisa, Mohd Kadir
Published: (2013)

Phytoremediation of arsenic in constructed wetland using Pennisetum purpureum Schumach. and plant growth-promoting rhizobacteria
by: Rahman, Md. Ekhlasur
Published: (2023)

Strength characteristics and prediction of ternary blended cement building material using RSM and ANN
by: Li, Xiaofeng, et al.
Published: (2025)

Assessment of water mimosa (Neptunia oleracea Lour.) morphological, physiological, and removal efficiency for phytoremediation of arsenic-polluted water
by: Atabaki, Narges, et al.
Published: (2020)

Optimisation of reactive dye removal by sequential electrocoagulation–flocculation method: comparing ANN and RSM prediction
by: Mobarekeh, Mohsen Nourouzi, et al.
Published: (2011)

Susceptibility sets and the final outcome of collective Reed–Frost epidemics
by: Ball, Frank
Published: (2018)

Heavy metals (mercury, arsenic, cadmium, plumbum) in selected marine fish and shellfish along the Straits of Malacca
by: Mohamad, Alina, et al.
Published: (2012)

Artificial Neural Network (ANN) approach in predicting arsenic and mercury species in Kinta River / Norshidah Baharuddin
by: Baharuddin, Norshidah
Published: (2015)

Phytoremediation
by: M. M., Yusoff, et al.
Published: (2009)

Rekabentuk perkakasan khas ECC (Reed-Solomon) / Noorizan Muhamad Mursid
by: Noorizan , Muhamad Mursid
Published: (2001)

Optimization of vegetative and in vitro propagation for giant reed (Arundo donax L.)
by: Tong, Siaw Hoei
Published: (2019)

Reed Solomon Coded Cooperation Scheme In Mobile Communication Networks And Application
by: AlMawgani, Abdulkarem Hussein Mohammed
Published: (2011)

Experimental investigation of Reed-Solomon error correction technique for wireless sensor network
by: Cheah, Cheng-Lai, et al.
Published: (2014)

Predicting the capability of oxidized CNW adsorbents for the remediation of copper under optimal operating conditions using RSM and ANN models
by: Abdul Hamid, Nor Hazren, et al.
Published: (2018)

Predicting the capability of oxidized cnw adsorbents for the remediation of copper under optimal operating conditions using rsm and ann models
by: A. Hamid, Hazren, et al.
Published: (2018)

Modelling and optimization of hardness behaviour of sintered Al/SiC composites using RSM and ANN: a comparative study
by: Alam, Mohammad Azad, et al.
Published: (2020)

Development of a toxicity bioassay system using Photobacterium sp. strain mie
by: Halmi, Mohd Izuan Effendi
Published: (2013)

Bioreduction of hexavalent molybdenum to molybdenum blue using Serratia sp. MIE2 and purification of molybdenum-reducing enzyme
by: Halmi, Mohd Izuan Effendi
Published: (2014)

Rapid ecotoxicological tests using bioassay systems: a review
by: Halmi, Mohd. Izuan Effendi
Published: (2016)

Formulation of compact powder from rice fermentation using Response Surface Methodology (RSM)
by: Nurfarisha Ahmad Fironus Firdaus,, et al.
Published: (2024)

Comparison of response surface methodology (RSM) and artificial neural networks (ANN) towards efficient extraction of artemisinin from Artemisia annua
by: Pilkington, J.L., et al.
Published: (2015)

Characterization of chromate reducing Pseudomonas aeruginosa strain Mie3 isolated from Juru River sludge and its potential on Azo dye decolorization
by: Halmi, Mohd Izuan Effendi, et al.
Published: (2017)

Phenol toxicity and phytoremediation
by: Lee, Siew Yi, et al.
Published: (2017)

Predicting engine performance and exhaust emissions of a spark ignition engine fuelled with 2-butanol-gasoline blends using RSM and ANN models
by: Muhammad Yusri, Ismail
Published: (2018)

Mimicry of Stowe’s Uncle Tom’s Cabin and the formation of resistant slave narrative in Ishmael Reed’s Flight to Canada
by: Ramin, Zohreh, et al.
Published: (2017)

Evaluation of Reed-Solomon (R-S) Coding performance for M-Ary modulation in AWGN and multipath fading channels
by: Syed Mohd. Dardin, Syed Mohd. Fairuz
Published: (2005)

Ultrasonication and RSM-based optimization of antioxidant activity, saccharide composition and fatty acids from Phoenix dactylifera L. Medjool date seeds influenced by ethanol
by: Thirubuvanesvari-Duraivelu, Pushpa, et al.
Published: (2024)

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models
by: Hamid, Hazren A., et al.
Published: (2016)

Comparative Prediction of Red Alga Biosorbent Performance in Dye Removal using Multivariate Models of Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
by: Nadiah, Mokhtar, et al.
Published: (2018)