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Study on the mechanism of regulating micromolar Fe utilization and promoting denitrification by guanosine monophosphate (GMP) based multi-signal functional material Hematin@Fe/GMP

Author(s): Hao Y; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J;

A novel multi-signal functional material consisting of Hematin, Fe, and guanosine monophosphate (GMP) was successfully constructed (Hematin@Fe/GMP) to enhance denitrification efficiency based on the signal network regulation of electron transfer, micromolar Fe utilization, and microbial community. Hematin@Fe/GMP enhanced nitrate reduction rate by 2.33-fol ...

Article GUID: 39657473


Fe/GMP functional nanomaterial enhancing the denitrification efficiency by bi-signal regulation: Electron transfer and microbial community

Author(s): Hao Y; Guo T; Li H; Liu W; Chen Z; Zhang W; Wang X; Guo J;

A novel functional nanomaterial composed of guanosine monophosphate (GMP) and Fe enhanced denitrification efficiency by regulating electron transfer and microbial community. Fe/GMP enhanced nitrate (NO3-) degradation rates by 3.00-fold in serum vial batch experiments, with a rate constant of 17.39 mg/(L·h) in sequencing batch reactor. Fe/GMP-mediated inte ...

Article GUID: 39326537


The effect of step-feeding distribution ratio on high concentration perchlorate removal performance in ABR system with heterotrophic combined sulfur autotrophic process.

Author(s): Li H, Li K, Guo J, Chen Z, Han Y, Song Y, Lu C, Hou Y, Zhang D, Zhang Y

In a lab-scale anaerobic baffled reactor (ABR) with eight compartments, the heterotrophic and sulfur autotrophic processes were combined to remove perchlorate. And then, the step-feeding distribution ratio of the heterotrophic perchlorate reduction unit (HPR unit) was optimized to achieve efficient removal of high concentration perchlorate. Under the opti ...

Article GUID: 33485237


Enhanced denitrification performance and biocatalysis mechanisms of polyoxometalates as environmentally-friendly inorganic redox mediators.

Author(s): Guo H, Chen Z, Guo J, Lu C, Song Y, Han Y, Li H, Hou Y

Bioresour Technol. 2019 Jul 16;291:121816 Authors: Guo H, Chen Z, Guo J, Lu C, Song Y, Han Y, Li H, Hou Y

Article GUID: 31344631


BioMiCo: a supervised Bayesian model for inference of microbial community structure.

Author(s): Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Microbiome. 2015;3:8 Authors: Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Article GUID: 25774293


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