Several microorganisms such as bacteria, fungi, Protozoa, Rotifera, cystic amoeba and algae diagnosed in activated sludge aerobic (Rustumiya treatment plant) and anaerobic reactor. Results have shown a reduction in the turbidity rates when using activated sludge at Rustumiya plant of 76.3 to 2.653 NTU in pre-treatment and final tank respectively, also COD (chemical oxygen demand) amount reduced from 427.263 to 82 mg/L respectively. In addition, concentrations of phosphates and nitrates decreased from 12.083 to 8.426 mg/L and 3.59 to 2.43 mg/L respectively, by removing 30.2% and 32.3% respectively of the final tank. The ratio of ammonia removing was 89.6% for ammonia, reducing process from 1358 to 140 mg/L. Furthermore, sulfates concentration decreased from 30.883 to 23.337 mg/L. However, the system in the anaerobic reactor depends on non-aerated activated sludge. Results show turbidity reduced from 12.5 to 2 NTU in pre-treatment and final tank respectively, also the COD mount reduced from 191 to 130 mg/L, the percentage removal of 31.9%. In addition phosphates, nitrates and sulfates concentrations were decreased by using activated sludge from 17.15 to 8.15, 1.2 to 0.1 and 28 to 9.2 mg/L respectively. The ammonia concentration has reduced from 1.2 to 0.1 mg/L where at a removal percentage of 90.9%.
Biosorpion of lead (Pb), Cadmium (Cd) and Nickl(Ni) by dried biomass of Chara sp. for sample of BMP was used as alternative approach of conventional method. The range of removal percentages was between 92-97%, 70-98.7% and 46.6-96.6% for Pb, Cd and Ni respectively at 3h.Treatment time, with 300-500 mg dried weight from Chara sp. powder at pH 4, with 60 rpm at shaker. FTIR analysis showed the active groups which are responsible for sequestration of heavy metals represented by carboxyl, hydroxyl alkyl, amine and amide. The Biosorption equilibrium experiment for elements showed that the highest sorption percentage for three elements was, Pb 96.6% after 30 minute, for Cd was 100% after 15 minute and 40% to Ni after 75 minute, while the biosorption equilibrium by using Chara sp. was at 90 minute for Pb and Ni.
Tested Bio-mitigation to reduce greenhouse gas technology dioxide levels through the use of isolates belonging to the Division of green algae. Chlorella sorokiniana. GenBank databasr (accession No. MH923013.1) and Coelastrella sp. Gen Bank database (accession No. MH 923012), Within five different CO2 levels of 5, 10, 15, 20 and 25 L / min during the 24-day laboratory study period grown with NPK culture medium, The study showed that Chlorella sorokiniana is more efficient than Coelastrella sp. Through the treatment time for gas, which reached 92.94% of Chlorella sorokiniana after 3 days from the start of the study, the highest level of gas was 25 L / min, which was equivalent to 6000 mg / l. In addition to producing biomass weights compared to the biomass weights of Coelastrella sp, the biomass of Chlorella sorokiniana also produced more biochemical contents than those of Coelastrella sp, represented by the ratios of Lipid, anthocyanins, and carotenoids. The results of the study also showed an exponential increase in the uniform optical density of Chlorella sorokiniana within the five gas levels, which amounted to 0.294, 0.311, 0.345, 0.431 and 0.511 nm, respectively, compared to the control of 0.098 nm for day 24 of culture.
Algae were diagnosed in three stations at three seasons for 2018-2019 in the Tigris River. It was diagnosed with 158 species for five main divisions (Chlorophyta, Bacillariophyta, Cyanophyta, Pyrrhophyta and Euglenophyta). Chlorophyta division represented 14 genera and 33 species with a percent of 20.88%, Bacillariophyta division was 22 genus and 84 species with a percent of 53.16%, division Cyanophyta was14 genus and 41 species with 25.94%, pyrrhophyta division was four genus and four species with 2.53%, and the Euglenophyta division was one species with 0.63%. The study also showed the essential common species for quantitative and qualitative studies within the study stations: Chlorella vulgaris, Oscillatoria lemmetica, Amphiprora alata, Nitzschia clausii and Navicula enigmatica. In conclusion, the study showed an abundance of algae densities within the study sites. Keywords: Classification, Algae, Tigris River.
The effeiciency of Algae s. quadricauda has been tested in reducing the Phosphate and Nitriate, in industrial culture media and sample of waste water, The rate of removal has been recorded for phosphate element in waste water (40.24, 75.54, 75.94)% for the first, second and third day respectivally and the highest average of removing for Phosphate and Nitrate (99.77, 60.54)% respectivally for the seventh day from culture the sample of industrial, cultural media that contain 2 mg/L phosphate.The removal rate reached to (24.5, 34, 39.5)% for first, second and third day, respectivally and in log increased for cells 82.183 cell/ml in comparative with sample of waste water and in log increased for living mass 94.673 cell/ml by experiment continuing twelve days .
Algae are distributed worldwide in the sea, in freshwater and in wet situations on land. Most are microscopic algae, but some of them are so large, also some marine seaweeds that can exceed 50 m in length. The algae have chlorophyll and can make their own food through the steps of photosynthesis. Recently they are classified in the kingdom of protested, which include a variety of unicellular and some basic multinuclear and multicellular eukaryotic organisms that have cells. Algal poisoning is an intense, often lethal condition caused by high concentrations of toxic blue-green algae (more commonly known as cyanobacteria—literally blue-green bacteria) in drinking water as well as in water used for recreation, agriculture and aquaculture. The study cur in the productive dangerous from the algae toxin that productive from cyanobacteria in aquatic environment. The important contamination for water source identification and non-identification and identify on algae that responsible on productive of toxin in water that represented by Cylindrospermum, Aphanizomenon Anabaena, Microcystis, Lyngbya, Oscillatoria, phormidium, and suitable environment for algae to productive toxin. Such as temperature, pH, nutrient, salinity, density identify on the toxin concentration in water that content organisms that productive toxin between (1–100 mg/l). With the use of different methods of treating algal toxins such as (potassium permanganate, activated carbon, oxidation, chlorine and ozone), and the best treatment was the use of potassium permanganate at a concentration (2 mg/l), which gave the best treatment while preserving the ecosystem.
The Microorganisms: yeast Sporobolomyces yunnanensis, Rhodotorula mucilaginosa and Kluyveromyces marxianusin growth of 184× 106 ± 15 cell\ml, and bacteria Pseudomonas aeruginosa and Bacillus cereus in the growth of 9 – 15× 108 ± 5 cell\ml, and algae Chlorella vulgaris in the growth of 45 × 105 ± 5 cell\ ml were selected as a bio filter to reduce organic and nonorganic pollutants from wastewater by COD, TOC, TN and TP concentrations of 455, 151, 9.5 and 31 ppm in treatment period 4, 6 and 18 hr. and pH of 7-8 in 25 Co as a Batch culture system. The yeasts showed ability to reduce COD concentration by 50-64% in 18 hr. treatment period, and the bacteria showed the ability to reduce COD, TOC, TN and TP concentrations by 59-69%, 57-66%, 53-63% and 40-55% in 18 hr. treatment period. At the same time, algae showed efficiency in reducing TN and TP by 81, 82%. The selective microorganisms showed high efficiency as a biofilter to reduce pollutants concentrations from wastewater in three serial steps by a treatment period of 6 hr in each step with a high ability to reduce COD, TOC, TN , and TP concentrations by 83, 91, 100, and 100% in 18 hr. treatment period. Ultimately, this study demonstrated the high efficiency of the multiple biofilters consisting of bacteria, yeasts, and algae in reducing the concentration of pollutants in sewage wastewater. Keyword. Multiple biofilters, Bacteria, Yeast, Algae, COD, TOC, TN.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.