JOURNAL ARTICLE
Co‐culturing microalgae with endophytic bacteria from bamboo for efficient nutrient and heavy metal removal coupling with biogas upgrading.
Published In: Water Environment Research (10614303), 2024, v. 96, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Cheng, Pu; Wang, Zhengfang; Lu, Bei; Zhao, Yongjun; Zhang, Hui 3 of 3
Abstract
The construction of dominant algal species and bacterial strains in algal treatment technology was crucial for pollutant removal. In order to enhance the purification capability of microalgae toward heavy metals in water as well as biogas slurry and biogas, symbiotic systems were respectively constructed using Chlorella vulgaris and two different endogenous bacteria (microalgal endophytic bacteria S395–2 and plant endophytic bacteria BEB7). The results demonstrated that the endogenous bacteria (S395–2 and BEB7) effectively promote the growth, biomass yield, photosynthetic activity, and carbonic anhydrase activity of microalgae. Additionally, BEB7 exhibited superior promotion effects on microalgae compared to S395–2. Moreover, the BEB7‐microalgae co‐cultivation system not only efficiently removed heavy metals from water but also effectively purified the nutrients and CO2 in biogas slurry. The optimal effect was observed when the ratio of BEB7 to microalgae was 10:1. This study has established a solid theoretical foundation for the application of microalgae in pollutant purification. Practitioner Points: Endogenous bacteria effectively promoted microalgal performance.The optimal ratio of BEB7 to microalgae was 10:1.Chlorella vulgaris‐BEB7 showed the best removal performance. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Water Environment Research (10614303). 2024/01, Vol. 96, Issue 1, p1
- Document Type:Article
- Subject Area:Botany
- Publication Date:2024
- ISSN:1061-4303
- DOI:10.1002/wer.10977
- Accession Number:175009442
- Copyright Statement:Copyright of Water Environment Research (10614303) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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