Phytoextraction potential of water fern (Azolla pinnata) in the removal of a hazardous dye, methyl violet 2B: Artificial neural network modelling

References

• Ahmed TF, Sushil M, Krishna M. 2012. Impact of dye industrial effluent on physicochemical characteristics of Kshipra River, Ujjain City, India. Int Res J Environ Sci. 1:41–45.
   Google Scholar
• Armstrong JS, Collopy F. 1992. Error measures for generalizing about forecasting methods: empirical comparisons. Int J Forecasting. 8:69–80. https://doi.org/10.1016/0169-2070(92)90008-W.
   Web of Science ®Google Scholar
• Arnon DI. 1949. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiol. 24:1–15. https://doi.org/10.1104/pp.24.1.1. PMID:16654194.
   PubMed Web of Science ®Google Scholar
• Al-Shayea QK. 2011. Artificial neural networks in medical diagnosis. Int J Comput Sci Issues. 8:150–154.
   Google Scholar
• Asl SH, Ahmadi M, Ghiasvand M, Tardast A, Katal R. 2013. Artificial neural network (ANN) approach for modeling of Cr (VI) adsorption from aqueous solution by zeolite prepared from raw fly ash (ZFA). J Ind Eng Chem. 19:1044–1055. https://doi.org/10.1016/j.jiec.2012.12.001.
   Web of Science ®Google Scholar
• Basheer IA, Hajmeer M. 2000. Artificial neural networks: fundamentals, computing, design, and application. J Microbiol Methods. 43:3–31. https://doi.org/10.1016/S0167-7012(00)00201-3. PMID:11084225.
   PubMed Web of Science ®Google Scholar
• Bello O, Inyinbor A, Dada A, Oluyori A. 2013. Impact of Nigerian textile industry on economy and environment: a review. Int J Basic Appl Sci. 13:98–106.
   Google Scholar
• Cort JW, Kenji M. 2005. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Clim Res. 30:79–82. https://doi.org/10.3354/cr030079.
   Web of Science ®Google Scholar
• Crini G. 2006. Non-conventional low-cost adsorbents for dye removal: a review. Bioresour Technol. 97:1061–1085. https://doi.org/10.1016/j.biortech.2005.05.001. PMID:15993052.
   PubMed Web of Science ®Google Scholar
• Dai L-P, Xiong Z-T, Huang Y, Li. M-J 2006. Cadmium-induced changes in pigments, total phenolics, and phenylalanine ammonia-lyase activity in fronds of Azolla imbricata. Environ Toxicol. 21:505–512. https://doi.org/10.1002/tox.20212. PMID:16944512.
   PubMed Web of Science ®Google Scholar
• Dietz AC, Schnoor JL. 2001. Advances in phytoremediation. Environ Health Perspect. 109:163. https://doi.org/10.1289/ehp.01109s1163. PMID:11250813.
   PubMed Web of Science ®Google Scholar
• Frijlink E, Touw D, Woerdenbag H. 2015. Biopharmaceutics. In Bouwman-Boer Y, Fenton-May VI, Le Brun P, editors. Practical pharmaceutics: an international guideline for the preparation, care and use of medicinal products. Cham: Springer International Publishing. p. 323–346.
   Google Scholar
• Gunapala N, Amarasiri SL. 1983. Effect of addition of phosphorus on the growth of Azolla. Trop Agriculturist. 139:85–95.
   Google Scholar
• Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. 2009. The WEKA data mining software: an update. ACM SIGKDD Explor Newsl. 11:10–18. https://doi.org/10.1145/1656274.1656278.
   Google Scholar
• Jain S, Vasudevan P, Jha N. 1990. Azolla pinnata R. Br. and Lemna minor L. for removal of lead and zinc from polluted water. Water Res. 24:177–183. https://doi.org/10.1016/0043-1354(90)90100-K.
   Web of Science ®Google Scholar
• Kaastra I, Boyd M. 1996. Designing a neural network for forecasting financial and economic time series. Neurocomputing. 10:215–236. https://doi.org/10.1016/0925-2312(95)00039-9.
   Web of Science ®Google Scholar
• Kant R. 2012. Textile dyeing industry an environmental hazard. Nat Sci. 4:22–26.
   Google Scholar
• Khandare RV, Govindwar SP. 2015. Phytoremediation of textile dyes and effluents: current scenario and future prospects. Biotechnol Adv. 33:1697–1714. https://doi.org/10.1016/j.biotechadv.2015.09.003. PMID:26386310.
   PubMed Web of Science ®Google Scholar
• Kooh MRR, Dahri MK, Lim LBL, Lim LH. 2016. Batch adsorption studies on the removal of acid blue 25 from aqueous solution using Azolla pinnata and soya bean waste. Arab J Sci Eng. 41:2453–2464. https://doi.org/10.1007/s13369-015-1877-5.
   Web of Science ®Google Scholar
• Kooh MRR, Dahri MK, Lim LBL, Lim LH, Malik OA. 2016. Batch adsorption studies of the removal of methyl violet 2B by soya bean waste: isotherm, kinetics and artificial neural network modelling. Environ Earth Sci. 75:1–14. https://doi.org/10.1007/s12665-016-5582-9.
   Web of Science ®Google Scholar
• Kooh MRR, Lim LBL, Lim LH, Dahri MK. 2016. Separation of toxic rhodamine B from aqueous solution using an efficient low-cost material, Azolla pinnata, by adsorption method. Environ Monit Assess. 188:1–15. https://doi.org/10.1007/s10661-016-5108-7. PMID:26627206.
   PubMed Web of Science ®Google Scholar
• Kooh MRR, Lim LBL, Dahri MK, Lim LH, Sarath Bandara JMR. 2015. Azolla pinnata: an efficient low cost material for removal of methyl violet 2B by using adsorption method. Waste Biomass Valor. 6:547–559. https://doi.org/10.1007/s12649-015-9369-0.
   Web of Science ®Google Scholar
• Kooh MRR, Lim LBL, Lim LH, Bandara JMRS. 2016. Batch adsorption studies on the removal of malachite green from water by chemically modified Azolla pinnata. Desalin Water Treat. 57:14632–14646. https://doi.org/10.1080/19443994.2015.1065450.
   Web of Science ®Google Scholar
• Lamm E, Unger R. 2011. Biological Computation. UK: Taylor and Francis Group, LLC.
   Google Scholar
• Lechno-Yossef S, Nierzwicki-Bauer SA. 2002. Azolla-Anabaena Symbiosis. In Rai AN, Bergman B, Rasmussen U, editors. Cyanobacteria in symbiosis. Dordrecht, Netherlands: Springer. p. 153–178.
   Google Scholar
• Lucas RE, Davis JF. 1961. Relationships between pH values of organic soils and availabilities of 12 plant nutrients. Soil Sci. 92:177–182. https://doi.org/10.1097/00010694-196109000-00005.
   Google Scholar
• Pilon-Smits. E. 2005. Phytoremediation. Annu Rev Plant Biol. 56:15–39. https://doi.org/10.1146/annurev.arplant.56.032604.144214. PMID:15862088.
   PubMed Web of Science ®Google Scholar
• Rai PK. 2008. Technical note: phytoremediation of Hg and Cd from industrial effluents using an aquatic free floating macrophyte Azolla pinnata. Int J Phytoremediation. 10:430–439. https://doi.org/10.1080/15226510802100606. PMID:19260224.
   PubMed Web of Science ®Google Scholar
• SIGMA-ALDRICH. [2016]. Methyl Violet 2B [Material Safety Data Sheet] Version 5.0. Available at http://www.sigmaaldrich.com
   Google Scholar
• Torbati S. 2015. Feasibility and assessment of the phytoremediation potential of duckweed for triarylmethane dye degradation with the emphasis on some physiological responses and effect of operational parameters. Turkish J Biol. 39:438–446. https://doi.org/10.3906/biy-1411-23.
   Web of Science ®Google Scholar
• Vafaei F, Khataee AR, Movafeghi A, Salehi Lisar SY, Zarei M. 2012. Bioremoval of an azo dye by Azolla filiculoides: study of growth, photosynthetic pigments and antioxidant enzymes status. Int Biodeterior Biodegradation. 75:194–200. https://doi.org/10.1016/j.ibiod.2012.09.008.
   Web of Science ®Google Scholar
• Vijayaraghavan K. 2016. Biosorption of metals: a complete handbook. Chennai, India: Vinanie Publishers.
   Google Scholar
• Wagner GM. 1997. Azolla: a review of its biology and utilization. Bot Rev. 63:1–26. https://doi.org/10.1007/BF02857915.
   Web of Science ®Google Scholar
• White HL. 1936. The interaction of factors in the growth of Lemna: VII. The effect of potassium on growth and multiplication. Ann Bot. 50:175–196. https://doi.org/10.1093/oxfordjournals.aob.a090581.
   Google Scholar
• Zhang G, Patuwo BE, Hu. MY 1998. Forecasting with artificial neural networks: the state of the art. Int J Forecasting. 14:35–62. https://doi.org/10.1016/S0169-2070(97)00044-7.
   Web of Science ®Google Scholar