This work presents a kinetic analysis of the exogenous photo-induced disinfection of E. coli in natural waters. Herein, the inactivation of bacteria by light and photo-generated transient species, i.e., hydroxyl radical (HO), excited triplet states of organic matter (CDOM*) and singlet oxygen (O), was studied. It was found that the exogenous disinfection of E. coli proceeds through a lag time, followed by an exponential phase triggered by photo-generated HO, O and CDOM*. Also, we report that the concentration increased of transient species (and especially HO) precursors decreased the lag times of bacteria inactivation. Due to the limitations of the competition kinetics methodology to include the lag phase, an alternative strategy to study the interaction between E. coli and photo-generated transient species was proposed, considering the log-linear pseudo-first order rate constants and lag-times. On this basis and by using APEX software, a full kinetic analysis of exogenous bacterial inactivation, taking into account both lag-time and exponential decay, was developed. This approach provided insights into the conditions that could make exogenous inactivation competitive with the endogenous process for the E. coli inactivation in natural sunlit waters. Hence, this research contributes to the understanding of fundamental kinetic aspects of photoinduced bacterial inactivation, which is the basis for light-assisted processes such as the solar disinfection (SODIS).
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http://dx.doi.org/10.1016/j.watres.2019.114894 | DOI Listing |
Front Microbiol
December 2024
Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Evidence suggests that the gut microbiome may play a role in multiple sclerosis (MS). However, the majority of the studies have focused on gut bacterial communities; none have examined the fungal microbiota (mycobiota) in persons with pediatric-onset multiple sclerosis (POMS). We examined the gut mycobiota in persons with and without POMS through a cross-sectional examination of the gut mycobiota from 46 participants' stool samples (three groups: 18 POMS, 13 acquired monophasic demyelinating syndromes [monoADS], and 15 unaffected controls).
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
A nuclear-localized cysteine desulfhydrase, LCD1, plays a crucial role in mediating endogenous hydrogen sulfide production in tomatoes. However, the mechanism underlying the nuclear localization of SlLCD1 is not yet fully understood. In this study, it was found that SlLCD1 specifically interacted with nuclear import receptor importin α3 (SlIMPA3).
View Article and Find Full Text PDFZhongguo Shi Yan Xue Ye Xue Za Zhi
December 2024
Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, The First Affiliated Hospital of Soochow University, Collaborative Innovation Center of Hematology, Suzhou 215006, Jiangsu Province, China.
Objective: To study the molecular mechanism of functional defect of protein C (PC) caused by point mutations of human protein C gene ( ) N355S , G392E and T314A.
Methods: The wild-type and mutant plasmids (PC, PC, PC, PC) of gene were constructed and transiently transfected into HEK293 cells. The expression of mutant proteins in vitro were tested.
Front Immunol
January 2025
Aix Marseille Université, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy, Marseille, France.
Parallel analysis of phenotype, transcriptome and antigen receptor sequence in single B cells is a useful method for tracking B cell activation and maturation during immune responses. However, in most cases, the specificity and affinity of the B cell antigen receptor cannot be inferred from its sequence. Antibody cloning and expression from single B cells is then required for functional assays.
View Article and Find Full Text PDFEcol Lett
January 2025
Department of Biology, University of Miami, Coral Gables, Florida, USA.
Microorganisms underpin numerous ecosystem processes and support biodiversity globally. Yet, we understand surprisingly little about what structures environmental microbiomes, including how to efficiently identify key players. Microbiome network theory predicts that highly connected hubs act as keystones, but this has never been empirically tested in nature.
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