Xi Lu

Dr. Xi Lu


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 December 2020 in Environmental Science & Technology
Verified
Journal Article
Closed access
HAHussein E. Al-Hazmi
Hussein E. Al-Hazmi
XLXi Lu
Xi Lu
JMJoanna Majtacz
Joanna Majtacz
Przemysław KowalPrzemysław Kowal
Przemysław Kowal
LXLi Xie
Li Xie
JMJacek Makinia
Jacek Makinia

10 August 2017 in Reviews in Environmental Science and Bio/Technology
Verified
Journal Article
Closed access
PDF file
YFYan Feng
Yan Feng
XLXi Lu
Xi Lu
HAHUSSEIN AL-HAZMI
HUSSEIN AL-HAZMI
Jacek MakiniaJacek Makinia
Jacek Makinia

13 February 2018 in Environmental Science & Technology
Verified
Journal Article
Closed access
XLXi Lu
Xi Lu
TPTiago Duarte Santos Pereira
Tiago Duarte Santos Pereira
HAHUSSEIN AL-HAZMI
HUSSEIN AL-HAZMI
JMJoanna Majtacz
Joanna Majtacz
QZQi Zhou
Qi Zhou
Jacek MakiniaJacek Makinia
Jacek Makinia


23 March 2021 in Processes
Verified
Journal Article
Open access
PDF file
MSMehdi SharifShourjeh
Mehdi SharifShourjeh
Przemysław KowalPrzemysław Kowal
Przemysław Kowal
XLXi Lu
Xi Lu
LXLi Xie
Li Xie
Jakub DrewnowskiJakub Drewnowski
Jakub Drewnowski
Novel technologies such as partial nitritation (PN) and partial denitritation (PDN) could be combined with the anammox-based process in order to alleviate energy input. The former combination, also noted as deammonification, has been intensively studied in a frame of lab and full-scale wastewater treatment in order to optimize operational costs and process efficiency. For the deammonification process, key functional microbes include ammonia-oxidizing bacteria (AOB) and anaerobic ammonia oxidation bacteria (AnAOB), which coexisting and interact with heterotrophs and nitrite oxidizing bacteria (NOB). The aim of the presented review was to summarize current knowledge about deammonification process principles, related to microbial interactions responsible for the process maintenance under varying operational conditions. Particular attention was paid to the factors influencing the targeted selection of AOB/AnAOB over the NOB and application of the mathematical modeling as a powerful tool enabling accelerated process optimization and characterization. Another reviewed aspect was the potential energetic and resources savings connected with deammonification application in relation to the technologies based on the conventional nitrification/denitrification processes.

1 November 2021 in Journal of Environmental Management
Verified
Journal Article
Open access
MMMohamad-Javad Mehrani
Mohamad-Javad Mehrani
XLXi Lu
Xi Lu
Przemysław KowalPrzemysław Kowal
Przemysław Kowal
DSDominika Sobotka
Dominika Sobotka
Jacek MakiniaJacek Makinia
Jacek Makinia
The newly discovered process complete ammonia oxidation (comammox) has changed the traditional understanding of nitrification. In this study, three possible concepts of comammox were developed and incorporated as part of an extended two-step nitrification model. For model calibration and validation, two series of long-term biomass washout experiments were carried out at 12 °C and 20 °C in a laboratory sequencing batch reactor. The inoculum biomass was withdrawn from a large biological nutrient removal wastewater treatment plant. The efficiency of the examined models was compared based on the behaviors of ammonia, nitrite, and nitrate in the studied reactor. Predictions of the conventional approach to comammox, assuming the direct oxidation of ammonia to nitrate, were slightly better than the two other approaches. Simulation results revealed that comammox could be responsible for the conversion of >20% of the influent ammonia load. Therefore, the role of commamox in the nitrogen mass balance in activated sludge systems should not be neglected and requires further investigation. Furthermore, sensitivity and correlation analysis revealed that the maximum growth rates (μ), oxygen half-saturation (KO), and decay rates (b) of the canonical nitrifiers and comammox were the most sensitive factors, and the highest correlation was found between μ and b among all considered kinetic parameters. The estimated μ values by the best model were 0.57, 0.11, and 0.15 d-1 for AOB, NOB, and comammox bacteria, respectively.