Modeling of CO2 absorption into 4-diethylamino-2-butanol solution in a membrane contactor under wetting or non-wetting conditions

© 2022 The Authors. Published by Elsevier. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1016/j.ccst.2022.100069In this work, 4-diethylamino-2-butanol (DEAB) as a new type of alkanolamine solvent is used for CO2 capture in a hollow fiber membrane contactor (HFMC). A model describing the gas and liquid reactions and transport inside the membrane contactor under the wetting or non-wetting conditions was built. The countercurrent flow of natural gas and solvent was considered in the model. To investigate the influence of solvent type on decarburization efficiency, DEAB was used and compared with other common solvents such as potassium carbonate (K2CO3), triethylamine (TEA) and diethanolamine (DEA). Under the same operating conditions, the impact of parameters such as humidity, gas flow rate, liquid concentration, membrane length on the decarburization performance was examined. The results indicate that DEAB solvent has the best overall performance especially under the wetting conditions. It was noted that increasing liquid concentration, membrane length and decreasing gas flow rate enhance decarburization.Published versio

Carbon Capture Enhancement by Water-Based Nanofluids in a Hollow Fiber Membrane Contactor

Nanoparticles are being used in the CO2 solvents to improve the capture performance. Herein, a 2D model is proposed to study the CO2 capture performance from a gaseous mixture using a hollow fiber membrane contactor (HFMC). Both water-based nanofluids of carbon nanotubes (CNT) and SiO2 are deployed as the carbon absorbents. It is verified that Brownian motion and grazing effect are the major reasons to enhance the mass transfer of nanofluids. The simulation findings show that the modeling data conform well with the experimental studies. The root-mean-square errors for SiO2 nanofluid and CNT nanofluid are 2.37% and 2.56%, respectively. When the amounts of nanoparticles increase between 0.02 and 0.06 wt%, CO2 capture efficiencies of SiO2 and CNT nanofluids increase by 7.92% and 13.17%, respectively. Also, the CNT nanofluid has a better capture performance than the SiO2 nanofluid. Furthermore, research is conducted into how membrane characteristics affect HFMC performance. It is indicated that increasing the membrane porosity and decreasing the membrane tortuosity have a positive impact on the capture efficiency. This work demonstrates the potentials in the use of nanoparticles in CO2 solvents and provides a solid theoretical basis for nanofluids to significantly enhance gas absorption.Z.P. thanks the support from Scientific Research Fund of the Educational Department of Liaoning Province, China (grant no. LJKZ0381), and Key Scientific Research Fund of the Educational Department of Liaoning Province, China (grant no. L2020002).Peer reviewe

Meta-analysis shows non-uniform responses of above- and belowground productivity to drought

Terrestrial productivity underpins ecosystem carbon (C) cycling and multi-trophic diversity. Despite the negative impacts of drought on terrestrial C cycling, our understanding of the responses of above- and belowground productivity to drought remains incomplete. Here, we synthesized the responses of terrestrial productivity and soil factors (e.g., soil moisture, soil pH, soil C, soil nitrogen (N), soil C:N, fungi:bacteria ratio, and microbial biomass C) to drought via a global meta-analysis of 734 observations from 107 studies. Our results revealed that the productivity variables above- and belowground (i.e., net primary productivity, aboveground net primary productivity, belowground net primary productivity, total biomass, aboveground biomass, root biomass, gross ecosystem productivity, and net ecosystem productivity) were decreased across all ecosystems. However, drought did not significantly affect litter mass across all ecosystems, and the responses of above- and belowground productivity to drought were non-uniform. Furthermore, the responses of these productivity variables to drought were more pronounced with drought intensity and duration, and consistent across ecosystem types and background climates. Drought significantly decreased soil moisture, soil C concentrations, soil C:N ratios, and microbial biomass C, whereas it enhanced soil pH values and fungi:bacteria ratios. Moreover, the negative effects of drought on above- and belowground productivity variables were correlated mostly with the response of soil pH to drought among all soil factors. Our study indicated that litter biomass, which mostly represents productivity levels via traditional ecosystem models, was not able to predict the responses of terrestrial ecosystem productivity to drought. The strong relationship between the responses of soil pH and terrestrial productivity to drought suggests that the incorporation of soil pH into Earth system models might facilitate the prediction of terrestrial C cycling and its feedbacks to drought

Carbon Capture Enhancement by Water-Based Nanofluids in a Hollow Fiber Membrane Contactor

Nanoparticles are being used in the CO2 solvents to improve the capture performance. Herein, a 2D model is proposed to study the CO2 capture performance from a gaseous mixture using a hollow fiber membrane contactor (HFMC). Both water-based nanofluids of carbon nanotubes (CNT) and SiO2 are deployed as the carbon absorbents. It is verified that Brownian motion and grazing effect are the major reasons to enhance the mass transfer of nanofluids. The simulation findings show that the modeling data conform well with the experimental studies. The root-mean-square errors for SiO2 nanofluid and CNT nanofluid are 2.37% and 2.56%, respectively. When the amounts of nanoparticles increase between 0.02 and 0.06 wt%, CO2 capture efficiencies of SiO2 and CNT nanofluids increase by 7.92% and 13.17%, respectively. Also, the CNT nanofluid has a better capture performance than the SiO2 nanofluid. Furthermore, research is conducted into how membrane characteristics affect HFMC performance. It is indicated that increasing the membrane porosity and decreasing the membrane tortuosity have a positive impact on the capture efficiency. This work demonstrates the potentials in the use of nanoparticles in CO2 solvents and provides a solid theoretical basis for nanofluids to significantly enhance gas absorption

Drought stress induced increase of fungi:bacteria ratio in a poplar plantation

Soil microbial communities are key to ecosystem processes in terrestrial ecosystems. Although droughts are projected to be more frequent with the intensifying effects of climate change, our understanding of the responses of soil microbial communities to drought remains incomplete. For this study, we employed 30% and 50% throughfall reduction manipulation experiments to simulate different drought intensities, and collected soil samples at three depths (0–15, 15–30 and 30–45 cm) for each season in a poplar plantation. We analyzed the physical and chemical properties of the soil samples (e.g., soil moisture, pH, total C, total N, and labile organic C and N contents represented by extractable organic C and N contents, microbial biomass C and N contents) and microbial communities, via phospholipid fatty acid (PLFA) and high-throughput sequencing methods, from November 2018 to August 2019. We found that drought significantly decreased soil moisture, the content of soil labile organic C and N, and total microbial biomass; however, it increased soil pH and microbial biomass C:N across all soil depths. Furthermore, fungi:bacteria and Gram+:Gram- bacterial ratios increased with drought treatments across all three soil depths. Drought reduced the relative abundance of Proteobacteria, but increased the relative abundance of Acidobacteria across the three soil depths. In contrast, drought had no significant influence on the relative abundance of fungal phyla. The changes in soil properties and microbial communities increased with drought intensity. Regression analysis demonstrated that changes in the total PLFA, fungi:bacteria and Gram+:Gram- bacterial ratios were significantly correlated with soil moisture, pH, and the soil labile organic C and N content. Redundancy analysis revealed that soil pH, extractable organic C and extractable organic N accounted for the majority of the variabilities in the bacterial communities. The patterns of fungal community structures in the drought treatment plots were not distinct from the control groups across three soil depths. Our results suggested that droughts induce significant increases in fungi:bacteria and Gram+:Gram- bacterial ratios in forest soils, primarily through changes in soil pH, moisture, and soil labile organic C and N content

Elevated CO2 shifts soil microbial communities from K- to r-strategists

Aims: Soil microbes are key to myriad processes in terrestrial ecosystems. Elevated CO2 represents a dominant driver of global climate change; however, it remains unclear to what extent elevated CO2 impacts soil microbial communities at ecosystem and global scales. Here, we sought to address the following questions: (a) Do the compositions of microbial communities shift from K- to r-strategists under elevated CO2? (b) What is the extent of the compositional shifts of microbial communities affected by elevated CO2 concentrations, experimental duration, ecosystem types and/or background climates? (c) Are the responses of microbial communities to elevated CO2 associated with changes in soil pH and carbon and nitrogen availabilities?. Location: Global. Time period: 1998–2020. Major taxa studied: Soil microbes. Methods: We performed a global meta-analysis of 965 observations from 122 studies, which tested the effects of elevated CO2 on microbial communities. The data covered broad variations in ecosystems, climate, CO2 concentrations, experimental duration, and soil factors. Results: We revealed that elevated CO2 decreased the K- to r-strategist ratios with decreasing fungi : bacteria, Gram+ : Gram– bacteria, and Acidobacteria : Proteobacteria ratios, and increased bacterial biomass, microbial biomass carbon, Gram– bacteria, and Acidobacteria abundance. Moreover, the shifts from K- to r-strategists were more pronounced under higher CO2 concentrations and longer experimental durations. The responses of microbial attributes to elevated CO2 did not differ significantly among croplands, forests and grasslands. Furthermore, the response of microbial biomass to elevated CO2 was negatively correlated with the response of soil pH, while those of bacterial biomass and fungi : bacteria ratios were positively correlated with those of soil organic carbon and soil carbon : nitrogen ratios, respectively. Main conclusions: Our results suggest that elevated CO2 shifts soil microbial communities from K- to r-strategists, and provide supportive evidence for understanding responses of soil microbial processes to elevated CO2

Increased fine root production coupled with reduced aboveground production of plantations under a three-year experimental drought

9 páginas.- 4 figuras.- 1 tabla.- 77 referencias.- Supplementary data to this article can be found online at https://doi.org/10.1016/j.scitotenv.2023.168370Climate change has led to more frequent and intense droughts. A better understanding of forest production under drought stress is critical for assessing the resilience of forests and their capacity to deliver ecosystem services under climate change. However, the direction and magnitude of drought effects on aboveground and belowground forest ecosystem components remain poorly understood. Here, we conducted a drought experiment including 30 % and 50 % throughfall reduction in a poplar plantation in the eastern coast of China to test how different drought intensities affected aboveground and fine root production. We further investigated the responses of soil physicochemical properties (e.g., soil moisture, soil pH, soil carbon, and soil nitrogen), and microbial properties (e.g., total microbial biomass, fungi:bacteria ratios, and Gram+:Gram− bacteria ratios) to drought. We found that the aboveground production decreased by 12.2 % and 19.3 % following 30 % and 50 % drought intensities, respectively. However, fine root production increased by 21.6 % and 35.1 % under 30 % and 50 % drought intensities, respectively. Moreover, all above- and belowground components exhibited stronger responses to 50 % compared with 30 % drought intensity. Our results provide some of the first direct evidence for simultaneous responses of forest above- and belowground production to moderate and intense droughts, by demonstrating that fine root production is more sensitive than aboveground production to both levels of drought stress.This work was funded by the National Key Research and Development Program of China (No. 2021YFD22004); the Key Project of the Open Competition in Jiangsu Forestry (LYKJ[2022]01); and Research Startup Fund of Yancheng Teachers University (No. 204670014)Peer reviewe

A recombinant Mycobacterium smegmatis-based surface display system for developing the T cell-based COVID-19 vaccine

The immune escape mutations of SARS-CoV-2 variants emerged frequently, posing a new challenge to weaken the protective efficacy of current vaccines. Thus, the development of novel SARS-CoV-2 vaccines is of great significance for future epidemic prevention and control. We herein reported constructing the attenuated Mycobacterium smegmatis (M. smegmatis) as a bacterial surface display system to carry the spike (S) and nucleocapsid (N) of SARS-CoV-2. To mimic the native localization on the surface of viral particles, the S or N antigen was fused with truncated PE_PGRS33 protein, which is a transportation component onto the cell wall of Mycobacterium tuberculosis (M.tb). The sub-cellular fraction analysis demonstrated that S or N protein was exactly expressed onto the surface (cell wall) of the recombinant M. smegmatis. After the immunization of the M. smegmatis-based COVID-19 vaccine candidate in mice, S or N antigen-specific T cell immune responses were effectively elicited, and the subsets of central memory CD4+ T cells and CD8+ T cells were significantly induced. Further analysis showed that there were some potential cross-reactive CTL epitopes between SARS-CoV-2 and M.smegmatis. Overall, our data provided insights that M. smegmatis-based bacterial surface display system could be a suitable vector for developing T cell-based vaccines against SARS-CoV-2 and other infectious diseases