scholarly journals Phytoremediation of Contaminated Water by Cadmium (Cd) Using Two Cyanobacteria Species (Anabaena Variabilis and Nostoc Muscorum)

2021 ◽  
Author(s):  
Mona Mohamed Abd El-Hameed ◽  
Mohamed Abuarab ◽  
Nadhir Al-Ansari ◽  
Shady Abdel Mottaleb ◽  
Gomaa A. Bakeer ◽  
...  
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Removal Efficiency ◽  
Growth Parameters ◽  
Algal Growth ◽  
Pilot Scale ◽  
Anabaena Variabilis ◽  
Nostoc Muscorum ◽  
Contaminated Water ◽  
Toxic Impact

Abstract Background: Water pollution with heavy metals is a severe dilemma that worries the whole world related to its risk to nature ecosystem and human being health. The main objective is to evaluate the removal efficiency of Cd with various concentrations from contaminated aqueous solution by two Cyanobacteria species (Nostoc muscorum and Anabaena variabilis). For this purpose, a designed laboratory pilot scale was applied using two cyanobacteria species (Nostoc muscorum and Anabaena variabilis), four different initial concentrations (0, 0.5, 1.0 and 2.0 mg L−1) for 21 days. Results: N. muscorum was more efficient than A. variabilis for removing Cd (II), because the optimum value of residual Cd achieved by N. muscorum after 21 days at (0.5 mg L-1) was (0.033 mg L-1), where the removal efficiency was 93.4%, while the residual Cd (II) by A. variabilis under the same conditions was (0.054 mg L-1), and the achieved removal efficiency was 89.13%. Algal growth parameters and Photosynthetic pigments were estimated for both Cyanobacteria species through the incubation period. Conclusions: High Cd concentration had a more toxic impact on algal growth. The outcomes of this study will help to produce treated water that could be reused in agrarian activities.

scholarly journals Phycoremediation of contaminated water by cadmium (Cd) using two cyanobacterial strains (Trichormus variabilis and Nostoc muscorum)

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Mona M. Abd El-Hameed ◽  
Mohamed E. Abuarab ◽  
Nadhir Al-Ansari ◽  
Shady Abdel Mottaleb ◽  
Gomaa A. Bakeer ◽  
...  
Keyword(s):  
Removal Efficiency ◽  
Growth Parameters ◽  
Algal Growth ◽  
Pilot Scale ◽  
Nostoc Muscorum ◽  
Contaminated Water ◽  
Natural Ecosystems ◽  
Toxic Impact ◽  
Scale Experiment ◽  
Trichormus Variabilis

Abstract Background Water pollution with heavy metals is a severe dilemma that concerns the whole world related to its risk to natural ecosystems and human health. The main objective was to evaluate the removal efficiency of Cd of various concentrations from contaminated aqueous solution by use of two cyanobacterial strains (Nostoc muscorum and Trichormus variabilis). For this purpose, a specially designed laboratory pilot-scale experiment was conducted using these two cyanobacterial strains on four different initial concentrations of Cd (0, 0.5, 1.0 and 2.0 mg L−1) for 21 days. Results N. muscorum was more efficient than T. variabilis for removing Cd (II), with the optimum value of residual Cd of 0.033 mg L−1 achieved by N. muscorum after 21 days with initial concentration of 0.5 mg L−1, translating to removal efficiency of 93.4%, while the residual Cd (II) achieved by T. variabilis under the same conditions was 0.054 mg L−1 (89.13% removal efficiency). Algal growth parameters and photosynthetic pigments were estimated for both cyanobacterial strains throughout the incubation period. Conclusions High Cd concentration had a more toxic impact on algal growth. The outcomes of this study will help to produce treated water that could be reused in agrarian activities.

scholarly journals Heavy metals’ removal from aqueous environments using silica sulfuric acid

2021 ◽  
Author(s):  
Nasrin Hosseinahli ◽  
Maherram Hasanov ◽  
Maryam Abbasi
Keyword(s):  
Heavy Metals ◽  
Sulfuric Acid ◽  
Removal Efficiency ◽  
Removal Rate ◽  
Health Concern ◽  
Contaminated Water ◽  
Silica Sulfuric Acid ◽  
Metals Removal ◽  
Technological Growth ◽  
Aqueous Environments

Abstract There is a growing environmental and health concern associated with contamination by heavy metals. It has also been intensified due to an increase of the exposure to such pollutants as a result of industrial and technological growth. Therefore, it is necessary to remove heavy metals in contaminated water to eliminate the associated risks. This study focused on the removal of heavy metal ions using silica sulfuric acid (SSA). A comprehensive study was conducted to assess the effect of different factors on the adsorption by SSA as well as selectivity properties of the adsorbent, kinetic and thermodynamic studies of the adsorption process. A batch test was used to remove heavy metals from a multi-element solution containing Ni(II), Pb(II), Mn(II), Cu(II), and Cd(II). The results showed that removal rate reached its peak at pH, string time, and adsorbent amount equal to 8, 60 min, and 0.04 g/mL of solution, respectively. The removal efficiency of Ni2+, Cd2+, Mn2+ dropped by increasing the volume of solution and smoothed at 150 mL while the removal of Pb2+ and Cu2+ did not vary with the volume. The removal efficiency by SSA was decreased as Pb > >Mn > >Ni ≥ Cu > Cd. In general, SSA successfully removed heavy metals from contaminated water.

scholarly journals Biosensor Chip for Monitoring of Water Pollution as Novel Test Tool in Public Health: Proof of Principle

2021 ◽  
Vol 10 (5) ◽  
pp. 386-392
Author(s):  
Nadira Ibrišimović Mehmedinović ◽  
Aldina Kesić ◽  
Almir Šestan ◽  
Aida Crnkić ◽  
Mirza Ibrišimović
Keyword(s):  
Public Health ◽  
Water Pollution ◽  
Heavy Metals ◽  
Drinking Water ◽  
Microbial Community Composition ◽  
Life Cycles ◽  
Coliform Bacteria ◽  
Contaminated Water ◽  
Test Tool ◽  
Biosensor Chip

Humans are generally exposed to a variety of pollutions present in the air they breathe, the food they eat or in the water they drink. Some of the most dangerous pollutions are metals and heavy metals. These are naturally occurring substances which are harmless when present in the environment at low levels. However, due to many pollutants such as industry processes or war activities, the heavy metal concentration can exceed the limit of tolerance and become very toxic for the natural environment and living organisms in it, including humans. Unlike organic pollutants, the heavy metals (as ions and as particulate matter) once introduced into the environment cannot be biodegraded and remain there indefinitely. By rainfall these pollutants can be partially transferred from air or soil into the rivers and drinking water sources, where they accumulate in even higher toxic levels. The high concentrations of heavy metals in contaminated natural water reservoirs have an impact on the microbial community composition which resides there. This type of water pollution can cause the changes in life cycles of natural bacterial populations, influencing their metabolic processes and proliferation. The presence of pathogens in water is normally indirectly determined by the testing for “indicator organism” such as coliform bacteria. Coliforms are usually present in larger numbers in contaminated water and at the same time they are indicators of whether other pathogenic bacteria are present, too. In crisis situations, like war or some natural disasters, where trusted sources of drinking water are not available anymore, the military and residents of affected areas are forced to use some alternative water resources that cannot be tested for their microbial or metal contamination properly. Therefore, the existence of some fast test that would detect not only dangerous bacterial pathogens in water, but also the presence of metals and heavy metals as well, would be of great help and importance for the human health. Even though the number of pathogens can be drastically reduced by the boiling of water, the heavy metals are not destroyed by high temperature. Hence the main objective of our work was to optimize the biosensor chip for microbial detection in contaminated water that would serve at the same time as an indicator for the chemical composition of the water, such as presence of metals and heavy metals, with potential to be used as a novel test tool in public health.

scholarly journals STUDI KANDUNGAN LOGAM BERAT DALAM DAGING IKAN DARI TAMBAK YANG DEKAT DAN YANG JAUH DARI DAERAH INDUSTRI

2005 ◽  
Vol 10 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Indrajati Kohar ◽  
Ryanto Budiono ◽  
Diana Indriany ◽  
Nanik S. Wilujeng
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Limit Of Detection ◽  
Pond Water ◽  
Contaminated Water ◽  
Inductively Coupled ◽  
Plasma Spectrometer ◽  
Maximum Limit ◽  
Cu And Zn

Water pollution lately is often becomes an important topic due to its correlation with health. Heavy metals that accumulated in human body mostly come from food. One kind of food that used to be contaminated by heavy metals is fish. Therefore it is interesting to study the heavy metals content in fish, whether it comes from industrial contaminated water. Study on the content of heavy metals Cr, Cu, Pb and Zn in ponds near and far from industrial areas has been conducted. The chosen areas were one from Sidoarjo area and one from Babat area, both are located in East Java. Samples were the meat of fish called tilapia (from Sidoarjo area), and milkfish and goldfish (from Babat area), also the water and mud from the ponds. Analytical method was wet destruction. Measurement of heavy metals content was done by Inductively Coupled Plasma Spectrometer (ICPS). In Babat area’s pond water was not found neither Cr, Cu, Pb nor Zn, while Zn was detected in Sidoarjo area’s, however, it was under the limit of detection. The mud of both ponds contained Cr, Cu, Pb and Zn. The goldfish contained only Cu and Zn, whereas the tilapia and milkfish contained Cu, Pb and Zn, however the metals content were not exceeded the maximum limit stated in the PPOM regulation No. 03725/B/SK/VII/89.

Parameters Affecting Dye Adsorption - Using Graphene Coated Sand (GSC)

2018 ◽  
Vol 4 (02) ◽  
Author(s):  
Seroor Atalah Khaleefa Alia ◽  
Dr. Mohammed Ibrahimb ◽  
Hussein Ali Hussein
Keyword(s):  
Heavy Metals ◽  
Contact Time ◽  
Organic Dyes ◽  
Low Cost ◽  
Dye Adsorption ◽  
Contaminated Water ◽  
Maximum Adsorption Capacity ◽  
Engineering Designs ◽  
Heavy Metals Ions ◽  
Coated Sand

Adsorption is most commonly applied process for the removal of pollutants such as dyes and heavy metals ions from wastewater. The present work talks about preparing graphenic material attached sand grains called graphene sand composite (GSC) by using ordinary sugar as a carbon source. Physical morphology and chemical composition of GSC was examined by using (FTIR, SEM, EDAX and XRD). Efficiency of GSC in the adsorption of organic dyes from water was investigated using reactive green dye with different parameters such as (ph, temperature, contact time and dose). Adsorption isotherm was also studied and the results showed that the maximum adsorption capacity of dye is 28.98 mg/g. This fast, low-cost process can be used to manufacture commercial filters to treat contaminated water using appropriate engineering designs.

Utilisation of Biomass and Hybrid Biochar from Elephant Grass and Low Density Polyethylene for the Competitive Adsorption of Pb(II), Cu(II), Fe(II) and Zn(II) from Aqueous Media

2020 ◽  
Vol 13 ◽  
Author(s):  
Joshua O. Ighalo ◽  
Lois T. Arowoyele ◽  
Samuel Ogunniyi ◽  
Comfort A. Adeyanju ◽  
Folasade M. Oladipo-Emmanuel ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Removal Efficiency ◽  
Contact Time ◽  
Competitive Adsorption ◽  
Adsorption Process ◽  
Aqueous Media ◽  
Polluted Water ◽  
Batch Adsorption ◽  
Order Kinetic ◽  
Elephant Grass

Background: The presence of pollutants in polluted water is not singularized hence pollutant species are constantly in competition for active sites during the adsorption process. A key advantage of competitive adsorption studies is that it informs on the adsorbent performance in real water treatment applications. Objective: This study aims to investigate the competitive adsorption of Pb(II), Cu(II), Fe(II) and Zn(II) using elephant grass (Pennisetum purpureum) biochar and hybrid biochar from LDPE. Method: The produced biochar was characterised by Scanning Electron Microscopy (SEM) and Fourier Transform Infrared Spectroscopy (FTIR). The effect of adsorption parameters, equilibrium isotherm modelling and parametric studies were conducted based on data from the batch adsorption experiments. Results: For both adsorbents, the removal efficiency was >99% over the domain of the entire investigation for dosage and contact time suggesting that they are very efficient for removing multiple heavy metals from aqueous media. It was observed that removal efficiency was optimal at 2 g/l dosage and contact time of 20 minutes for both adsorbent types. The Elovich isotherm and the pseudo-second order kinetic models were best-fit for the competitive adsorption process. Conclusion: The study was able to successfully reveal that biomass biochar from elephant grass and hybrid biochar from LDPE can be used as effective adsorbent material for the removal of heavy metals from aqueous media. This study bears a positive implication for environmental protection and solid waste management.

scholarly journals Prediction of Key Crop Growth Parameters in a Commercial Greenhouse Using CFD Simulation and Experimental Verification in a Pilot Study

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 658
Author(s):  
Subin Mattara Chalill ◽  
Snehaunshu Chowdhury ◽  
Ramanujam Karthikeyan
Keyword(s):  
Pilot Study ◽  
Cfd Simulation ◽  
Growth Parameters ◽  
Environmental Parameters ◽  
Pilot Scale ◽  
Crop Growth ◽  
Hvac System ◽  
Implementation Phase ◽  
Design And Implementation ◽  
Successful Design

Controlled crop growth parameters, such as average air velocity, air temperature, and relative humidity (RH), inside the greenhouse are necessary prerequisites for commercial greenhouse operation. Frequent overshoots of such parameters are noticed in the Middle East. Traditional heating ventilation and air-conditioning (HVAC) systems in such greenhouses use axial fans and evaporative cooling pads to control the temperature. Such systems fail to respond to the extreme heat load variations during the day. In this study, we present the design and implementation of a single span, commercial greenhouse using box type evaporative coolers (BTEC) as the backbone of the HVAC system. The HVAC system is run by a fully-automated real time feedback-based climate management system (CMS). A full-scale, steady state computational fluid dynamics (CFD) simulation of the greenhouse is carried out assuming peak summer outdoor conditions. A pilot study is conducted to experimentally monitor the environmental parameters in the greenhouse over a 20-h period. The recorded data confirm that the crop growth parameters lie within their required ranges, indicating a successful design and implementation phase of the commercial greenhouse on a pilot scale.

Sign in / Sign up

Export Citation Format

Share Document