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Mushrifah Idris - One of the best experts on this subject based on the ideXlab platform.
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comparative process optimization of pilot scale total petroleum hydrocarbon tph degradation by Paspalum scrobiculatum l hack using response surface methodology rsm and artificial neural networks anns
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Hassimi Abu Hassan, Firdaus Mohamad Hamzah, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
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Comparative process optimization of pilot-scale total petroleum hydrocarbon (TPH) degradation by Paspalum scrobiculatum L. Hack using response surface methodology (RSM) and artificial neural networks (ANNs)
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Firdaus Mohamad Hamzah, Hassimi Abu Hassan, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
Salmi Nur Ain Sanusi - One of the best experts on this subject based on the ideXlab platform.
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comparative process optimization of pilot scale total petroleum hydrocarbon tph degradation by Paspalum scrobiculatum l hack using response surface methodology rsm and artificial neural networks anns
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Hassimi Abu Hassan, Firdaus Mohamad Hamzah, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
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Comparative process optimization of pilot-scale total petroleum hydrocarbon (TPH) degradation by Paspalum scrobiculatum L. Hack using response surface methodology (RSM) and artificial neural networks (ANNs)
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Firdaus Mohamad Hamzah, Hassimi Abu Hassan, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
A. Rashid - One of the best experts on this subject based on the ideXlab platform.
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Somatic Embryogenesis or Shoot Formation Following High 2,4-D Pulse-Treatment of Mature Embryos of Paspalum scrobiculatum
Biologia plantarum, 2003Co-Authors: Vikrant, A. RashidAbstract:Mature zygotic embryos of Paspalum scrobiculatum L. cv. PSC 1 on MS or N6 nutrient medium supplemented with various concentrations of 2,4-D (4.5 – 22.5 µM) formed embryogenic callus, which differentiated into somatic embryos within 5 weeks of culture. The somatic embryos after transfer to hormone-free regeneration medium germinated and formed plantlets. Of the two nutrient formulations, N6 was relatively better than MS for somatic embryogenesis. A culture for 11 d on 100 µM 2,4-D was essential for the establishment of an embryogenic callus. Shorter duration, 4-d or 7-d culture on 2,4-D medium, supported some proliferation and subsequent differentiation into shoot-buds or multiple-shoots, in high-frequency cultures. This is first instance in monocots of a controlled regeneration response; either somatic embryogenesis or shoot formation.
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SOMATIC EMBRYOGENESIS FROM MESOCOTYL AND LEAF-BASE SEGMENTS OF Paspalum scrobiculatum L., A MINOR MILLET
In Vitro Cellular & Developmental Biology - Plant, 2003Co-Authors: Vikrant, A. RashidAbstract:Somatic embryos could be induced from embryogenic callus originating from mesocotyl as well as leaf-base segments of Paspalum scrobiculatum on Murashige and Skoog (MS) or Chu et al. (N6) medium supplemented with different concentrations of 2,4-dichlorophenoxyacetic acid (2,4-D; 4.5, 9.0, 18.0, and 22.5 μM). N6 medium was better than MS, for both explants, for high-frequency somatic embryogenesis. Also, mesocotyl tissues were relatively more totipotent than leaf-base segments. The somatic embryos ‘germinated’ and formed plantlets on transfer of embryogenic calluses to hormone-free MS or N6 regeneration medium. Embryogenic cultures could be maintained on low hormone medium which readily regenerated to form plantlets on hormone-free medium. A higher frequency of plantlet formation occurred on MS than on N6 medium. In vitro-formed plantlets were gradually acclimatized in the culture room and on transfer to soil flowered and set seed. Somatic embryogenesis and plantlet regeneration from mesocotyl and leaf-base segments are potentially simpler systems than regeneration from ‘embryonic’ explants such as immature embryos and unemerged inflorescences.
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Induction of multiple shoots by thidiazuron from caryopsis cultures of minor millet (Paspalum scrobiculatum L.) and its effect on the regeneration of embryogenic callus cultures
Plant Cell Reports, 2002Co-Authors: Vikrant, A. RashidAbstract:Caryopsis culture of a minor millet (Paspalum scrobiculatum L. cv. PSC 1) on N6 medium supplemented with high concentrations of thidiazuron (TDZ, 11.25 µM and 22.5 µM), a phenylurea derivative known to simulate cytokinin action, resulted in the formation of multiple shoots from the base of the seedling. This is the first time that multiple-shoot formation by a seedling cultured on TDZ without a callus interphase has been reported in graminaceous crop plants. The presence of a cytokinin, 6-benzylaminopurine (BAP), at low or high concentrations failed to evoke any morphogenic response. The presence of the auxin 2,4-dichlorophenoxyacetic acid (2,4-D, 4.5 µM) either alone or with BAP (4.5 µM) resulted in the formation of embryogenic callus from the base of the seedlings, which subsequently differentiated into somatic embryos. The combination of TDZ and the auxin (4.5 µM, 2,4-D) in the medium stimulated the differentiation of shoot buds in embryogenic callus cultures. This effect of TDZ, noted for the first time in a monocotyledonous plant, was evident in terms of a significant increase in the frequency of shoot-bud formation in embryogenic callus cultures and occurred only at a high concentration of TDZ (11.25 µM). This requirement for a high concentration of TDZ for the induction of multiple shoots from cultured seedlings or shoot buds in an embryogenic callus culture of a monocot is contrary to its effect at low concentrations in dicotyledonous plants. Complete plantlets, derived either from somatic embryos or shoot buds, could be regenerated on hormone-free basal medium or on basal medium fortified with activated charcoal (0.5%). Following a gradual acclimatization in a culture room, these regenerants survived on transfer to soil and ultimately set seed.
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Somatic embryogenesis from immature and mature embryos of a minor millet Paspalum scrobiculatum L.
Plant Cell Tissue and Organ Culture, 2002Co-Authors: A. RashidAbstract:Immature and mature zygotic embryos of Paspalum scrobiculatum L. cv. PSC 1 cultured on MS or N_6 nutrient medium supplemented with different concentrations of 2,4-dichlorophenoxyacetic acid (2,4-D), formed embryogenic callus. Induction of embryogenic callus and subsequent somatic embryogenesis was possible at a lower concentration of 2,4-D on N_6 than MS medium. Immature embryos were highly totipotent, forming somatic embryos at a higher frequency than mature embryos. Addition of amino acids (L-proline or L-tryptophan) to 2,4-D medium resulted in significant enhancement of embryogenesis on culture of mature embryos. Silver nitrate also supported an increased frequency of embryogenesis. Thus it is possible to have high frequency of somatic embryogenesis on culture of mature embryos, which are available in abundance and with ease than immature embryos. The somatic embryos readily germinated and formed plantlets on hormone-free regeneration medium. The regenerated plantlets were successful on transfer to soil and set seed.
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Direct as well as indirect somatic embryogenesis from immature (unemerged) inflorescence of a minor millet Paspalum scrobiculatum L.
Euphytica, 2001Co-Authors: A. RashidAbstract:Somatic embryos differentiated directly on the rachis of immature inflorescences of Paspalum scrobiculatum L. cv. PSC 1 on culture to MS or N_6 medium supplemented with different concentrations (4.5–22.5 μM) of 2,4-dichlorophenoxyacetic acid (2,4-D). Direct embryogenesis on the rachis of inflorescence explants forms the first instance in graminaceous plants. Highest frequency of direct embryogenesis (34%and 30% cultures, respectively) was possible on N_6 medium supplemented with 4.5 μM of 2,4-D and MS medium fortified with9.0 μM of 2,4-D. Other tissues of the explant, floral-primordia, only after an initial phase of callusing differentiated into somatic embryos; indirect embryogenesis. Somatic embryogenesis, direct as well as indirect, was resolved by scanning electron microscopy. The somatic embryos germinated and developed into plantlets on regeneration medium. Interestingly, one week incubation of somatic embryos on activated charcoal (0.5%) fortified basal medium, supported high potential for ‘germination’ on transfer to charcoal-free basal medium. This beneficial effect of activated charcoal on regeneration of somatic embryos into plantlets is the first record in the Gramineae.
Mohd Izuan Effendi Halmi - One of the best experts on this subject based on the ideXlab platform.
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comparative process optimization of pilot scale total petroleum hydrocarbon tph degradation by Paspalum scrobiculatum l hack using response surface methodology rsm and artificial neural networks anns
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Hassimi Abu Hassan, Firdaus Mohamad Hamzah, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
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Comparative process optimization of pilot-scale total petroleum hydrocarbon (TPH) degradation by Paspalum scrobiculatum L. Hack using response surface methodology (RSM) and artificial neural networks (ANNs)
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Firdaus Mohamad Hamzah, Hassimi Abu Hassan, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
Siti Rozaimah Sheikh Abdullah - One of the best experts on this subject based on the ideXlab platform.
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comparative process optimization of pilot scale total petroleum hydrocarbon tph degradation by Paspalum scrobiculatum l hack using response surface methodology rsm and artificial neural networks anns
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Hassimi Abu Hassan, Firdaus Mohamad Hamzah, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
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Comparative process optimization of pilot-scale total petroleum hydrocarbon (TPH) degradation by Paspalum scrobiculatum L. Hack using response surface methodology (RSM) and artificial neural networks (ANNs)
Ecological Engineering, 2016Co-Authors: Salmi Nur Ain Sanusi, Mohd Izuan Effendi Halmi, Siti Rozaimah Sheikh Abdullah, Firdaus Mohamad Hamzah, Hassimi Abu Hassan, Mushrifah IdrisAbstract:Abstract The aim of this study is to investigate an optimization process for the degradation of total petroleum hydrocarbon (TPH) by a tropical plant, Paspalum scrobiculatum L. Hack, using response surface methodology and artificial neural network. The optimum conditions predicted by RSM were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.77 L/min with a 76.8% maximum TPH removal. The coefficients of determination (R 2 ) and adjusted R 2 for the RSM model equations were 0.8530 and 0.7208. The optimum conditions predicted by the ANN were found to be at a diesel concentration of 3%, 72 sampling days and an aeration rate of 1.02 L/min with an 85.5% maximum TPH removal. Analysis using the ANN’s prediction data, which showed a higher R 2 value of 0.957 and small values of Average Absolute Deviation (AAD) and Root Mean Square Error (RMSE), were 0.33% and 0.302, respectively. Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM. This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.