An overview on microalgal-bacterial granular consortia for resource recovery and wastewater treatment

Shashi Kant Bhatia; Vishal Ahuja; Neha Chandel; Sanjeet Mehariya; Pradeep Kumar; Vandana Vinayak; Ganesh Dattatraya Saratale; Tirath Raj; Sang Hyoun Kim; Yung Hun Yang

doi:10.1016/j.biortech.2022.127028

An overview on microalgal-bacterial granular consortia for resource recovery and wastewater treatment

Shashi Kant Bhatia, Vishal Ahuja, Neha Chandel, Sanjeet Mehariya, Pradeep Kumar, Vandana Vinayak, Ganesh Dattatraya Saratale, Tirath Raj, Sang Hyoun Kim, Yung Hun Yang

Department of Civil and Environmental Engineering

Research output: Contribution to journal › Review article › peer-review

13 Citations (Scopus)

Abstract

Excessive generation of wastewater is a matter of concern around the globe. Wastewater treatment utilizing a microalgae-mediated process is considered an eco-friendly and sustainable method of wastewater treatment. However, low biomass productivity, costly harvesting process, and energy extensive cultivation process are the major bottleneck. The use of the microalgal-bacteria granular consortia (MBGC) process is economic and requires less energy. For efficient utilization of MBGC, knowledge of its structure, composition and interaction are important. Various microscopic, molecular and metabolomics techniques play a significant role in understating consortia structure and interaction between partners. Microalgal-bacteria granular consortia structure is affected by various cultivation parameters like pH, temperature, light intensity, salinity, and the presence of other pollutants in wastewater. In this article, a critical evaluation of recent literature was carried out to develop an understanding related to interaction behavior that can help to engineer consortia having efficient nutrient removal capacity with reduced energy consumption.

Original language	English
Article number	127028
Journal	Bioresource technology
Volume	351
DOIs	https://doi.org/10.1016/j.biortech.2022.127028
Publication status	Published - 2022 May

Bibliographical note

Funding Information:
The authors would like to acknowledge the KU Research Professor Program of Konkuk University, Seoul, South Korea. This research was supported by the C1 Gas Refinery Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (2015M3D3A1A01064882) and by the National Research Foundation of Korea (NRF) [NRF-2019M3E6A1103979, NRF-2017M3A9E4077234, and NRF-2021R1F1A1050325]. This study was also performed with the support of the R&D Program of MOTIE/KEIT [grant number 20014350].

Publisher Copyright:
© 2022 Elsevier Ltd

All Science Journal Classification (ASJC) codes

Bioengineering
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biortech.2022.127028

Cite this

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abstract = "Excessive generation of wastewater is a matter of concern around the globe. Wastewater treatment utilizing a microalgae-mediated process is considered an eco-friendly and sustainable method of wastewater treatment. However, low biomass productivity, costly harvesting process, and energy extensive cultivation process are the major bottleneck. The use of the microalgal-bacteria granular consortia (MBGC) process is economic and requires less energy. For efficient utilization of MBGC, knowledge of its structure, composition and interaction are important. Various microscopic, molecular and metabolomics techniques play a significant role in understating consortia structure and interaction between partners. Microalgal-bacteria granular consortia structure is affected by various cultivation parameters like pH, temperature, light intensity, salinity, and the presence of other pollutants in wastewater. In this article, a critical evaluation of recent literature was carried out to develop an understanding related to interaction behavior that can help to engineer consortia having efficient nutrient removal capacity with reduced energy consumption.",

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note = "Funding Information: The authors would like to acknowledge the KU Research Professor Program of Konkuk University, Seoul, South Korea. This research was supported by the C1 Gas Refinery Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (2015M3D3A1A01064882) and by the National Research Foundation of Korea (NRF) [NRF-2019M3E6A1103979, NRF-2017M3A9E4077234, and NRF-2021R1F1A1050325]. This study was also performed with the support of the R&D Program of MOTIE/KEIT [grant number 20014350]. Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

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AU - Saratale, Ganesh Dattatraya

AU - Raj, Tirath

AU - Kim, Sang Hyoun

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N2 - Excessive generation of wastewater is a matter of concern around the globe. Wastewater treatment utilizing a microalgae-mediated process is considered an eco-friendly and sustainable method of wastewater treatment. However, low biomass productivity, costly harvesting process, and energy extensive cultivation process are the major bottleneck. The use of the microalgal-bacteria granular consortia (MBGC) process is economic and requires less energy. For efficient utilization of MBGC, knowledge of its structure, composition and interaction are important. Various microscopic, molecular and metabolomics techniques play a significant role in understating consortia structure and interaction between partners. Microalgal-bacteria granular consortia structure is affected by various cultivation parameters like pH, temperature, light intensity, salinity, and the presence of other pollutants in wastewater. In this article, a critical evaluation of recent literature was carried out to develop an understanding related to interaction behavior that can help to engineer consortia having efficient nutrient removal capacity with reduced energy consumption.

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An overview on microalgal-bacterial granular consortia for resource recovery and wastewater treatment

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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