Determination of optimum operating conditions for industrial dye wastewater treatment using adaptive heuristic criticism pH control

The present paper describes a simple, selective and sensitive kinetic method for the determination of trace amounts of Sb(III) in the presence of Sb(V) based on its inhibition effect on the redox reaction between bromate and Victoria blue 4R (V.B. 4-R) in hydrochloric acid media. The reaction was followed spectrophotometrically by measuring the decrease in the absorbance of V.B. 4-R at 596.3 nm. Optimum operating conditions regarding reagent concentrations were established. The optimized conditions yielded a theoretical detection limit of 1.30·10‒8 g cm–3 Sb(III) based on the 3S0 criterion. The method allows the determination of Sb(III) in the range of 5·10‒8 ‒ 1.1·10‒6 g cm–3. The effects of certain foreign ions the reaction rate were determined for an assessment of the selectivity of the method. The kinetic parameters of the reaction were reported, and the rate equations were suggested. The results were validated statistically and through recovery studies. The proposed method has been successfully applied to the determination of Sb(III) in various model and real samples.

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A Model for Optimal Treatment of Cassava Wastewater Using Anaerobic Baffled Reactor

Nigerian Journal of Technological Development ◽

10.4314/njtd.v18i2.7 ◽

2021 ◽

Vol 18 (2) ◽

pp. 129-134

Author(s):

A.O. Ibeje ◽

E. Onukwugha

Keyword(s):

Experimental Data ◽

Wastewater Treatment ◽

Aspect Ratio ◽

Operating Conditions ◽

Optimum Operating ◽

Utilization Rate ◽

Treatment Processes ◽

Cyanide Inhibition ◽

Cassava Wastewater ◽

Influent Flow

The major components of the effluents from cassava processing industries are cyanide and starch. However it is suspected that cyanide inhibits the treatment of cassava wastewater. The experimental data were successfully fitted to a polynomial model which was used to optimize the treatment processes at a laboratory scale. The Monod and Michealis-menten models for cassava wastewater treatment was successfully calibrated and validated in an ABR system. For Michealis-Menten model, the maximum substrate utilization rate is estimated in the range: 2866.88 to 1432.84 mgl-1 and for Monod’s model, it is estimated in the range: 493 to 1242 mgl-1, which is more realistic, hence validating the empirical model as more accurate than the former, which is theoretical. The result revealed that the inhibitor constant decreased from 9.9989 to 1.6101mgl-1 as the number of baffles increased from 3 to 10. To reach a maximum COD removal efficiency of 99%, it was found that the aspect ratio of 10, 20 baffles, cyanide inhibition constant of 30 mg/l and influent flow rate of 0.8 l/min, are the required optimum operating conditions of the anaerobic baffled reactors.

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Research on the treatment of oily wastewater by coalescence technology

Water Science & Technology ◽

10.2166/wst.2015.375 ◽

2015 ◽

Vol 72 (9) ◽

pp. 1588-1593

Author(s):

Chunbiao Li ◽

Meng Li ◽

Xiaoyan Zhang

Keyword(s):

Wastewater Treatment ◽

High Efficiency ◽

Coarse Graining ◽

Filter Material ◽

Operating Conditions ◽

Ceramic Filter ◽

Coarse Grained ◽

Optimum Operating ◽

Oily Wastewater ◽

Oily Wastewater Treatment

Recently, oily wastewater treatment has become a hot research topic across the world. Among the common methods for oily wastewater treatment, coalescence is one of the most promising technologies because of its high efficiency, easy operation, smaller land coverage, and lower investment and operational costs. In this research, a new type of ceramic filter material was chosen to investigate the effects of some key factors including particle size of coarse-grained materials, temperature, inflow direction and inflow velocity of the reactor. The aim was to explore the optimum operating conditions for coarse-graining. Results of a series of tests showed that the optimum operating conditions were a combination of grain size 1–3 mm, water temperature 35 °C and up-flow velocity 8 m/h, which promised a maximum oil removal efficiency of 93%.

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Quantitative analysis of ibuprofen in pharmaceuticals and human control serum using kinetic spectrophotometry

Journal of the Serbian Chemical Society ◽

10.2298/jsc0809879m ◽

2008 ◽

Vol 73 (8-9) ◽

pp. 879-890 ◽

Cited By ~ 5

Author(s):

Snezana Mitic ◽

Gordana Miletic ◽

Aleksandra Pavlovic ◽

Biljana Arsic ◽

Valentina Zivanovic

Keyword(s):

Rapid Determination ◽

Pharmaceutical Formulations ◽

Operating Conditions ◽

Optimum Operating ◽

Kinetic Spectrophotometry ◽

Human Control ◽

Control Serum ◽

Tangent Method ◽

Kinetic Spectrophotometric

The aim of this work was to develop a new kinetic spectrophotometric method for the determination of ibuprofen in pharmaceutical formulations. Ibuprofen was determined in an acidic ethanolic medium by monitoring the rate of appearance of 1-nitroso-2-naphthol, resulting from the displacement by ibuprofen of Co(III) from the tris(1-nitroso-2-naptholato)cobalt(III) complex. The optimum operating conditions regarding reagent concentrations and temperature were established. The tangent method was adopted for constructing the calibration curve, which was found to be linear over the concentration range 0.21-1.44 and 1.44-2.06 ?g ml-1. The optimized conditions yielded a theoretical detection limit of 0.03 ?g ml-1 based on the 3.3 S0 criterion. The interference effects of the usual excipients of powdery drugs, foreign ions and amino acids on the reaction rate were studied in order to assess the selectivity of the method. The developed procedure was successfully applied for the rapid determination of ibuprofen in commercial pharmaceutical formulations and human control serum. The unique features of this procedure are that the determination can be performed at room temperature and the analysis time is short. The newly developed method is simple, inexpensive and efficient for use in the analysis of a large number of samples.

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Forecasting Wastewater Treatment Results with an ANFIS Intelligent System

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.745 ◽

2016 ◽

Vol 6 (5) ◽

pp. 1175-1181 ◽

Cited By ~ 2

Author(s):

M. Mahshidnia ◽

A. Jafarian

Keyword(s):

Wastewater Treatment ◽

Intelligent System ◽

Separation Efficiency ◽

Toxic Substance ◽

Operating Conditions ◽

Optimum Operating ◽

Excessive Pressure ◽

Nano Composite ◽

Poly Aniline ◽

Wheat Husk

Wastewaters caused by industrial and manufacturing production containing pollutants which beside degradation and depletion of natural resources, impose excessive pressure on the Earth's ecosystems and exacerbate water shortages. One of the pollutants is a toxic substance named Malachite Green (MG). Wastewater treatment means to obtain usable water by separating contaminants of contaminated water. One of its main purposes is the recovery and re-use of wastewater for a variety of uses including agriculture and aquaculture, especially in arid and semi-arid countries, as well as providing environmental protection. The main purpose of the present study was to investigate MG separation efficiency by nano composite materials. Poly-aniline was covered on Wheat Husk Ash in order to prepare this type of nano composite. The material was analyzed by X-ray radiation and scanned by an electron microscope. The level of separation depends on the initial value of wheat husk ash and poly-aniline and the initial concentration of MG and the intensity of ultraviolet radiation and radiation time. The effect of these parameters was investigated and optimum operating conditions were obtained. An adaptive neural fuzzy intelligent system was used to forecast the results of the MG separation process. The comparison between the results forecasted by the designed model and experimental data strengthens the validity of the process.

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