Efficiency assessment and pH effect in removing nitrogen and phosphorus by algae-bacteria combined system of Chlorella vulgaris and Bacillus licheniformis

Liang, Zhijie; Yan, Lei; Ge, Fei; Xu, Yin; Tao, Nengguo; Peng, Fang; Wong, Ming Hung

doi:10.1016/j.chemosphere.2013.05.014

Cited by 146 publications

(49 citation statements)

References 34 publications

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“…However, Case 3 is very similar to the data ( Figure 6d) uptake (Hernandez et al, 2009;Subashchandrabose, Ramakrishnan, Megharaj, Venkateswarlu, & Naidu, 2011). A previous work using similar bacteria and algae species to the present study claims that 78% of nitrogen can be removed in the algae-bacteria consortium system, whilst only 29% in the algae system and 1% in the bacteria system (Liang et al, 2013). So far, the mechanism of this mutualistic interaction has not been identified.…”

Section: Investigation Of Algae-bacteria Interaction Under High Nutsupporting

confidence: 89%

Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

Rio‐Chanona

Cong

Bradford

et al. 2018

Biotech & Bioengineering

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Microorganism production and remediation processes are of critical importance to the next generation of sustainable industries. Undertaking mathematical treatment of dynamic biosystems operating at any spatial or temporal scale is essential to guarantee their performance and safety. However, constructing physical models remains a challenge due to the extreme complexity of process biological mechanisms.Data-driven models also encounter severe limitations because datasets from largescale bioprocesses are often scarce without complete information and on a restricted operational space. To fill this gap, the current research compares the performance of advanced physical and data-driven models for dynamic bioprocess simulations subject to incomplete and scarce datasets, which to the best of our knowledge has never been addressed before. In specific, kinetic models were constructed by integrating different classic models, and state-of-the-art hyperparameter selection frameworks were developed to design artificial neural networks and Gaussian process regression models. An algae-bacteria consortium wastewater treatment process was selected to test the accuracy of these modeling strategies, as it is one of the most sophisticated biosystems due to the intricate mutualistic and competitive interactions. Based on the current results and available data, a heuristic model selection procedure is provided.This study paves the way to facilitate future bioprocess modeling.

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Section: Investigation Of Algae-bacteria Interaction Under High Nutsupporting

confidence: 89%

Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

Rio‐Chanona

Cong

Bradford

et al. 2018

Biotech & Bioengineering

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“…Furthermore, microalgae growth can be promoted by bacteria [61]. Better chlorophyll a content was also obtained in the co-cultures of Chlorella vulgaris and Bacillus licheniformis than in the cultures of Chlorella vulgaris alone.…”

Section: Seeding Approaches For Efficient Bioconversion Of Nutrients mentioning

confidence: 73%

The Environmental Biorefinery: Using Microalgae to Remediate Wastewater, a Win-Win Paradigm

et al. 2016

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Abstract:Microalgae have been shown to be a source of multiple bio-based products ranging from high value molecules to commodities. Along with their potential to produce a large variety of products, microalgae can also be used for the depollution of wastewaters of different origins (urban, industrial, and agricultural). This paper is focused on the importance of harnessing the bioremediation capacity of microalgae to treat wastewaters in order to develop the microalgae industry (especially the microalgae biofuel industry) and to find other alternatives to the classic wastewater treatment processes. The current research on the potential of microalgae to treat a specific wastewater or a targeted pollutant is reviewed and discussed. Then, both strategies of selecting the best microalgae strain to treat a specific wastewater or pollutant and using a natural or an artificial consortium to perform the treatment will be detailed. The process options for treating wastewaters using microalgae will be discussed up to the final valorization of the biomass. The last part is dedicated to the challenges which research need to address in order to develop the potential of microalgae to treat wastewaters.

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“…Hollants et al ( 2013 ) They provide strong evidence for a non random association between Bryopsis and its Flavobacteriaceae endosymbionts, whereby more closely related host species predominantly harbor genetically similar endosymbiosis, suggestive of coevolution; they recognized that this physiological ground remains unknown and proposed the possibility that Flavobacteriaceae endosymbionts offer the algal host an adaptive advantage. Other important endosymbiosis was investigated recently; Liang et al ( 2013 ) studied a new algaebacteria interaction, a combined system of Chlorella vulgaris and Bacillus licheniformis . They demonstrated that the system achieved better removal effi ciencies of NH 4 + and TP than a single algae or bacteria system did.…”

Section: Algae-bacteria Consortiums: Taxa Characteristics and Biochmentioning

confidence: 99%

Interaction Algae–Bacteria Consortia: A New Application of Heavy Metals Bioremediation

Rengifo‐Gallego

Salamanca

2015

Phytoremediation

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Efficiency assessment and pH effect in removing nitrogen and phosphorus by algae-bacteria combined system of Chlorella vulgaris and Bacillus licheniformis

Cited by 146 publications

References 34 publications

Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

The Environmental Biorefinery: Using Microalgae to Remediate Wastewater, a Win-Win Paradigm

Interaction Algae–Bacteria Consortia: A New Application of Heavy Metals Bioremediation

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