Adsorption of Alizarin Red S Dye on Raw Endoskeleton Nanopowder of Cuttlefish (Sepia Pharaonis) from Water Solutions: Mechanism, Kinetics and Equilibrium Modeling

نوع مقاله : مقاله پژوهشی

نویسندگان

1 Prof., Marine Pharmaceutical Science Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

2 Pharm. D., Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

3 Prof., Nanotechnology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

چکیده

The potential of the raw cuttlebone nano-powder (CBNP), a biomass waste, as a novel and nontoxic adsorbent for the adsorption of Alizarin Red S (ARS) from water solutions was investigated. To achieve the highest efficiency for the removal of ARS, some affecting factors were optimized. Common techniques (FTIR, FESEM, EDX and XRF) were used to characterize the physicochemical features of the adsorbent. Various kinetic and isotherm models were used to obtain the useful information about the adsorption mechanism of the dye onto the adsorbent. The maximum dye removal efficiency was obtained with the adsorbent amount of 500 mg (in 50 mL) and initial pH of 2 in 10 min for 20 mg/L ARS solution. Under these optimum conditions the complete removal of ARS was obtained while the maximum adsorption capacity was 38.51 mg/g. The well fitness of pseudo-second order kinetic model in the adsorption process was proved by kinetic studies. According to the obtained results, Freundlich isotherm model can suitably describe the adsorption of ARS on the sorbent. The achieved results from this study showed the excellent capability of CBNP for the adsorption of ARS.

کلیدواژه‌ها


عنوان مقاله [English]

Adsorption of Alizarin Red S Dye on Raw Endoskeleton Nanopowder of Cuttlefish (Sepia Pharaonis) from Water Solutions: Mechanism, Kinetics and Equilibrium Modeling

نویسندگان [English]

  • Nadereh Rahbar 1
  • Kourosh Tabatabaie 2
  • Zahra Ramezani 3
1 Prof., Marine Pharmaceutical Science Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2 Pharm. D., Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
3 Prof., Nanotechnology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
چکیده [English]

The potential of the raw cuttlebone nano-powder (CBNP), a biomass waste, as a novel and nontoxic adsorbent for the adsorption of Alizarin Red S (ARS) from water solutions was investigated. To achieve the highest efficiency for the removal of ARS, some affecting factors were optimized. Common techniques (FTIR, FESEM, EDX and XRF) were used to characterize the physicochemical features of the adsorbent. Various kinetic and isotherm models were used to obtain the useful information about the adsorption mechanism of the dye onto the adsorbent. The maximum dye removal efficiency was obtained with the adsorbent amount of 500 mg (in 50 mL) and initial pH of 2 in 10 min for 20 mg/L ARS solution. Under these optimum conditions the complete removal of ARS was obtained while the maximum adsorption capacity was 38.51 mg/g. The well fitness of pseudo-second order kinetic model in the adsorption process was proved by kinetic studies. According to the obtained results, Freundlich isotherm model can suitably describe the adsorption of ARS on the sorbent. The achieved results from this study showed the excellent capability of CBNP for the adsorption of ARS.

کلیدواژه‌ها [English]

  • Alizarin Red S
  • Sepia pharaonis
  • Cuttlebone
  • Removal
  • Adsorption
Aghajani, M. A., Dezfoulian, R. S., Arjroody, A. R. & Rezaei, M. 2017. Applying GIS to identify the spatial and temporal patterns of road accidents using spatial statistics (case study: Ilam Province, Iran). Transportation Research Procedia, 25, 2126-2138.
Al-Abadi, A. M., Al-Shamma’a, A. M. & Aljabbari, M. H. 2017. A GIS-based DRASTIC model for assessing intrinsic groundwater vulnerability in Northeastern Missan Governorate, Southern Iraq. Applied Water Science, 7(1), 89-101.
Al-Abadi, A. M., Shahid, S., Ghalib, H. B. & Handhal, A. M. 2017. A GIS-based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in Northeastern Maysan Governorate, Iraq. Arabian Journal for Science and Engineering, 42(6), 2487-2499.
Amiri, F., Tabatabaie, T. & Entezari, M. 2020. GIS-based DRASTIC and modified DRASTIC techniques for assessing groundwater vulnerability to pollution in Torghabeh-Shandiz of Khorasan County, Iran. Arabian Journal of Geosciences, 13(12), 1-16.
Attwa, M. & Zamzam, S. 2020. An integrated approach of GIS and geoelectrical techniques for wastewater leakage investigations: active constraint balancing and genetic algorithms application. Journal of Applied Geophysics, 175, 103992.
Berhe Zenebe, G., Hussien, A., Girmay, A. & Hailu, G. 2020. Spatial analysis of groundwater vulnerability to contamination and human activity impact using a modified DRASTIC model in Elalla-Aynalem Catchment, Northern Ethiopia. Sustainable Water Resources Management, 6, 1-16.
Bhuvaneswaran, C. & Ganesh, A. 2019. Spatial assessment of groundwater vulnerability using DRASTIC model with GIS in Uppar Odai sub-watershed, Nandiyar, Cauvery Basin, Tamil Nadu. Groundwater for Sustainable Development, 9, 100270.
Bolouri, S., Vafeainejad, A., Alesheikh, A. & Aghamohammadi, H. 2020. Environmental sustainable development optimizing the location of urban facilities using vector assignment ordered median problem-integrated GIS. International Journal of Environmental Science and Technology, 17(5), 3033-3054.
Chen, F., Guo, H., Ishwaran, N., Liu, J., Wang, X., Zhou, W. & Tang, P. 2019. Understanding the relationship between the water crisis and sustainability of the Angkor World Heritage site. Remote Sensing of Environment, 232(111293), 1-12.
Faryabi, M. 2019. Assessing the groundwater vulnerability to pollution using DRASTIC and SINTACS models, case study: Evan Plain, south west of Iran. Environmental Resources Research, 7(2), 105-116.
Ferchichi, H., Hamouda, M. B., Farhat, B. & Mammou, A. B. 2018. Assessment of groundwater salinity using GIS and multivariate statistics in a coastal Mediterranean aquifer. International Journal of Environmental Science and Technology, 15(11), 2473-2492.
Ferrara, C. & Barone, P. M. 2015. Detecting moisture damage in archaeology and cultural heritage sites using the GPR technique: a brief introduction. International Journal of Archaeology, 3(1-1), 57-61.
Ghanbari, A. 2020. Investigation of the vulnerability of the Khanj-Fissure plain aquifer in Larestan using a DRASTIC model. Natural Geography, 13(47), 95-115.
Hoseingholi, P., Moeini, R. & Zare, M. R. 2020. Number of blockage prediction for sanitary sewer networks (case study: Isfahan region 2). Journal of Water and Wastewater, 31(1), 86-98. (In Persian)
Hadjmeliani, M. 2015. Degradation of sewage pipe caused Sinkhole: a real case study in a main Road. In 22ème Congrès Français de Mécanique. AFM, Association Française de Mécanique, Lyon, France.
Iqbal, J., Gorai, A. K., Katpatal, Y. B. & Pathak, G. 2015. Development of GIS-based fuzzy pattern recognition model (modified DRASTIC model) for groundwater vulnerability to pollution assessment. International Journal of Environmental Science and Technology, 12(10), 3161-3174.
Irankhahi, M., Jozi, S. A., Farshchi, P., Shariat, S. M. & Liaghati, H. 2017. Combination of GISFM and TOPSIS to evaluation of urban environment carrying capacity (case study: Shemiran city, Iran). International Journal of Environmental Science and Technology, 14(6), 1317-1332.
Esmaili, R. & Amini, F. 2021. Identification of hotspots (PM 2.5) in the air of Mashhad. Climatological Research, 11(44), 63-78. (In Persian)
Ewusi, A., Asante-Annor, A., Seidu, J. & Fosu-Gyeabour, L. O. 2016. Groundwater vulnerability assessment using DRASTIC index and GIS in Kumasi Metropolitan Assembly, Ghana. Ghana Mining Journal, 16(1), 21-30.
Jarray, H., Zammouri, M., Ouessar, M., Zerrim, A. & Yahyaoui, H. 2017. GIS based DRASTIC model for groundwater vulnerability assessment: case study of the Shallow Mio-plio-quaternary aquifer (Southeastern Tunisia). Water Resources, 44(4), 595-603.
Javid, A., Hasani, A., Aleshekh, A. & Rahman, F. 2010. Preparation of necessary data for sewerage design using ArcGIS Software. Human and Environment Geopgraphy, 8(3), 39-46. (In Persian)
Jozikhamseloee, A. & Taghvaei, M. 2019. Vulnerability analysis and prioritization of Isfahan historic land uses in crisis management and emergency evacuation. Geography, 17(62), 123-139. (In Persian)
Katiraei, F., Gharagozlou, A. & Hemmasi, A. 2021. A spatial model for assessing the urban sewage network accidents in cities with historical context (a case study about Isfahan). Geographical Researches Quarterly Journal, 36(2), 217-232. (In Persian)
Kheirandish, M., Rahimi, H., Kamaliardakani, M. & Salim, R. 2020. Obtaining the effect of sewage network on groundwater quality using MT3DMS code: case study on Bojnourd plain. Groundwater for Sustainable Development11, p.100439.
Mohamadi Dehcheshme, M. & Shanbehpour, F. 2021. Spatial analysis of risks in critical infrastructures of Yasuj City. Scientific-Research Quarterly of Geographical Data (SEPEHR), 29(116), 167-180. (In Parsian)
Mohammadi, A., Pishgar, E. & Noori, S. 2018. Spatial analysis of urban sewage network events using GIS. A case study of Ardabil City. Journal of Urban Research and Planning, 9(34), 105-118. (In Parsian)
De Moura, E. N. & Procopiuck, M. 2020. GIS-based spatial analysis: basic sanitation services in Parana State, Southern Brazil. Environmental Monitoring and Assessment, 192(2), 1-13.
Najafpour, N., Torabi Podeh, H., Younesi, H. 2018. The effect of quantitative and qualitative changes in groundwater resources on aquifer pollution (case study: Lenjanat Plain, Isfahan). Environmental Research, 11(21), 233-248.
Norhafizah, M., Borhan, M. N., Mat Yazid, M. & Hambali, M. & Rohan, A. 2019. Determining spatial patterns of road accidents at expressway by applying Getis-Ord Gi* spatial statistic. International Journal of Recent Technology Engineering (IJRTE), 8, 345-350.
Onwe, M. R., Nwankwor, G. I., Ahiarakwem, C. A., Abraham, E. M. & Emberga, T. T. 2020. Assessment of geospatial capability index for siting waste dump/landfill to control groundwater geopollution using geographic information system (GIS) approach: case study of Abakaliki area and environs, Southeastern Nigeria. Applied Water Science, 10(1), 1-19.
Pourbalighi, M., Rezaian, S., Rafati, M. & Hejazi, R. 2021. Vulnerability assessment of groundwater aquifers in Isin Hormozgan plain using integrated models in Stick and Gods (GODS) and using GIS. Remote Sensing and GIS in Natural Resources, 12(4), 14-17.
Rajput, H., Goyal, R. & Brighu, U. 2020. Modification and optimization of DRASTIC model for groundwater vulnerability and contamination risk assessment for Bhiwadi region of Rajasthan, India. Environmental Earth Sciences, 79(6), 1-15.
Rezaei Nodeh, F., Karimi, M. & Jabari Gharebaq, M. 2019. Qualitative risk assessment of gas pipelines by using of indexing system method in GIS environment. Engineering Journal of Geospatial Information Technology, 7(1), 91-105. (In Persian)
Singha, S. S., Pasupuleti, S., Singha, S., Singh, R. & Venkatesh, A. S. 2019. A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India. Environmental Earth Sciences, 78(21), 1-19.
Venkatesan, G., Pitchaikani, S. & Saravanan, S. 2019. Assessment of groundwater vulnerability using GIS and DRASTIC for upper Palar river basin, Tamil Nadu. Journal of the Geological Society of India, 94(4), 387-394.
Wee, C. P. J., He, D. X. P., Win, W. & Ong, M. E. H. 2020. Geospatial analysis of severe road traffic accidents in Singapore in 2013-2014. Singapore Medical Journal, 62(7), 353-358.
Yang, S., Ge, M., Li, X. & Pan, C. 2020. The spatial distribution of the normal reference values of the activated partial thromboplastin time based on ArcGIS and GeoDA. International Journal of Biometeorology, 64(5), 779-790.