Application of Chlorella pyrenoidosa embedded biochar beads for water treatment

Guo, Qicong; Bandala, Erick R.; Goonetilleke, Ashantha; Hong, Nian; Li, Yuqing; Liu, An

doi:10.1016/j.jwpe.2020.101892

Cited by 24 publications

(6 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The classical two‐parameter nonlinear functions Weibull [Equation (2)) and Logit (Equation (3)] were used in fitting the concentration inhibition data 7,8,19,29,30 . The maximum determination coefficient ( R 1 ) or the minimum root mean square error ( RMSE ) was selected as the optimal fitting function.

E = 1 / (1 + \exp (- α - β \log_{10} (c)))

E = 1 - \exp (- \exp (α + β \log_{10} (c)))

where α and β are the position and slope parameters, respectively; E is the effect and c is the concentration of an individual compound or mixture.…”

Section: Methodsmentioning

confidence: 99%

“…and Logit (Equation (3)] were used in fitting the concentration inhibition data. 7,8,19,29,30 The maximum determination coefficient (R 1 ) or the minimum root mean square error (RMSE) was selected as the optimal fitting function.…”

Section: Curve Fittingmentioning

confidence: 99%

“…It is a standard test freshwater green algae commonly used in aqueous environmental toxicology due to its rapid reproduction, uniform distribution in the water that does not settle easily, and adequate contact with pollutants. Once structurally stable and hard‐to‐degrade pollutants enter the aquatic environment, they will inevitably alter the process of nutrient cycling and adversely affect algae and even higher trophic level organisms through the food chain 19–22 . Therefore, when exploring the ecological risk of pollutants in a water environment, algae is generally used as the indicator organism, Algal toxicity tests of compounds recommended by the Organization for Economic Cooperation and Development (OECD) 23 and the US Environmental Protection Agency (EPA) providing sensitive and rapid guidelines for ecological risk assessment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Toxicity interactions of azole fungicide mixtures on Chlorella pyrenoidosa

Huang

Liu

Qin

et al. 2023

Environmental Toxicology

View full text Add to dashboard Cite

It is acknowledged that azole fungicides may release into the environment and pose potential toxic risks. The combined toxicity interactions of azole fungicide mixtures, however, are still not fully understood. The combined toxicities and its toxic interactions of 225 binary mixtures and 126 multi‐component mixtures on Chlorella pyrenoidosa were performed in this study. The results demonstrated that the negative logarithm 50% effect concentration (pEC50) of 10 azole fungicides to Chlorella pyrenoidosa at 96 h ranged from 4.23 (triadimefon) to 7.22 (ketoconazole), while the pEC50 values of the 351 mixtures ranged from 3.91 to 7.44. The high toxicities were found for the mixtures containing epoxiconazole. According to the results of the model deviation ratio (MDR) calculated from the concentration addition (MDRCA), 243 out of 351 (69.23%) mixtures presented additive effect at the 10% effect, while the 23.08% and 7.69% of mixtures presented synergistic and antagonistic effects, respectively. At the 30% effect, 47.29%, 29.34%, and 23.36% of mixtures presented additive effects, synergism, and antagonism, respectively. At the 50% effect, 44.16%, 34.76%, and 21.08% of mixtures presented additive effects, synergism, and antagonism, respectively. Thus, the toxicity interactions at low concentration (10% effect) were dominated by additive effect (69.23%), whereas 55.84% of mixtures induced synergism and antagonism at high concentration (50% effect). Climbazole and imazalil were the most frequency of components presented in the additive mixtures. Epoxiconazole was the key component induced the synergistic effects, while clotrimazole was the key component in the antagonistic mixtures.

show abstract

E = 1 / (1 + \exp (- α - β \log_{10} (c)))

E = 1 - \exp (- \exp (α + β \log_{10} (c)))

where α and β are the position and slope parameters, respectively; E is the effect and c is the concentration of an individual compound or mixture.…”

Section: Methodsmentioning

confidence: 99%

Section: Curve Fittingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toxicity interactions of azole fungicide mixtures on Chlorella pyrenoidosa

Huang

Liu

Qin

et al. 2023

Environmental Toxicology

View full text Add to dashboard Cite

show abstract

“…Initial pollutant concentration influences the removal of pollutants, wherein setting the initial pollutant concentration until the saturation point increases the adsorption capacity of the biosorbed pollutants per unit weight of MCB [ 131 ]. The bioavailability of pollutants is defined as the total amount of a contaminant that is either available or that may be made available for uptake by microorganisms from its surroundings within a given period.…”

Section: Microbial Cell-immobilized Biochar For the Removal Of Metal ...mentioning

confidence: 99%

Effective Usage of Biochar and Microorganisms for the Removal of Heavy Metal Ions and Pesticides

et al. 2023

View full text Add to dashboard Cite

The bioremediation of heavy metal ions and pesticides is both cost-effective and environmentally friendly. Microbial remediation is considered superior to conventional abiotic remediation processes, due to its cost-effectiveness, decrement of biological and chemical sludge, selectivity toward specific metal ions, and high removal efficiency in dilute effluents. Immobilization technology using biochar as a carrier is one important approach for advancing microbial remediation. This article provides an overview of biochar-based materials, including their design and production strategies, physicochemical properties, and applications as adsorbents and support for microorganisms. Microorganisms that can cope with the various heavy metal ions and/or pesticides that enter the environment are also outlined in this review. Pesticide and heavy metal bioremediation can be influenced by microbial activity, pollutant bioavailability, and environmental factors, such as pH and temperature. Furthermore, by elucidating the interaction mechanisms, this paper summarizes the microbe-mediated remediation of heavy metals and pesticides. In this review, we also compile and discuss those works focusing on the study of various bioremediation strategies utilizing biochar and microorganisms and how the immobilized bacteria on biochar contribute to the improvement of bioremediation strategies. There is also a summary of the sources and harmful effects of pesticides and heavy metals. Finally, based on the research described above, this study outlines the future scope of this field.

show abstract

“…e large amount of CO 2 accelerates the greenhouse e ect, which also causes many problems like sea level rise, food security crisis, species extinction and biodiversity crisis, and so on [2], as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

The Analysis on the Current Situation of the Utilization Mode of Microalgal Biomass Materials

Zhang

Wang

Nie

et al. 2022

Advances in Multimedia

View full text Add to dashboard Cite

In recent years, global warming caused by the greenhouse effect has become one of the greatest threats to mankind. This will have a serious impact on the environment and human body, such as land desertification, increase in ocean acidity, sea level rise, and increase in pests and diseases; affect people’s normal work and rest; and make people feel dizzy and nauseated. Excessive emissions of carbon dioxide (CO2), the main component of the greenhouse gas, have contributed to the continued rise in Earth’s temperature. Although the world is vigorously developing clean energy to reduce carbon emissions, it will not replace fossil fuels in the short term. The conversion of biomass into energy is the most important way of energy utilization. Biomass energy refers to the solar energy stored in biomass in the form of chemical energy and is the fourth major energy source after oil, coal, and natural gas. At present, biofuels have gone through three developmental stages, which can be divided into first-generation biofuels, second-generation biofuels, and third-generation biofuels according to the types of raw materials and development history. The first generation of biofuels produced from food crops, such as bioethanol derived from sucrose and starch, has already entered the energy market. However, because the first generation of biofuels uses food crops as raw materials, there is a phenomenon of “competing with people for food,” and it is difficult to achieve large-scale application. To avoid the problem of food shortages, second-generation biofuels produced from nonfood crops, such as wood fiber, have been developed. Microalgae biomass energy is favored by governments and scholars all over the world because of its unique advantages of fast reproduction speed and high oil content. The cultivation of microalgae does not occupy traditional farmland, and the marginal land such as mountains, oceans, and deserts can cultivate microalgae, or develop microalgae cultivation in the air through the innovation of microalgae photosynthetic reactors. When municipal wastewater, food industry wastewater, and aquaculture wastewater are used as the medium for large-scale cultivation of microalgae, and waste gas from biogas power generation, flue gas from coal power plants, and industrial waste gas from fermentation are used as the CO2 gas source for large-scale cultivation of microalgae, it can be further reduced. The comprehensive production cost of microalgae bioenergy plays a significant emission reduction effect. Combining the above advantages, the use of microalgae to produce first- or second-generation bioenergy has become a new research direction. This study focuses on the review of microalgal biomass in fuel, nonfuel, wastewater treatment, and fuel cell.

show abstract

Application of Chlorella pyrenoidosa embedded biochar beads for water treatment

Cited by 24 publications

References 57 publications

Toxicity interactions of azole fungicide mixtures on Chlorella pyrenoidosa

Toxicity interactions of azole fungicide mixtures on Chlorella pyrenoidosa

Effective Usage of Biochar and Microorganisms for the Removal of Heavy Metal Ions and Pesticides

The Analysis on the Current Situation of the Utilization Mode of Microalgal Biomass Materials

Contact Info

Product

Resources

About