Anaerobic digestion is applied worldwide to treat food waste (FW) with the aim of obtaining renewable bioenergy by exploiting the methane gas produced. However, there are several problems in practical applications, primarily due to system instability. Although exhaustive knowledge regarding anaerobic microbial community composition has been established, few studies have investigated long-term correlations between microbial consortia, operative conditions and feedstock characteristics. Here, microbial community shifts as a response to feedstock variations were investigated in long-term semi-continuous systems, which were evaluated by an in situ cell detection method and 16S rRNA gene amplicon sequencing. FW digestion showed progressive system instability caused by the inhibition of methanogens, which resulted in volatile fatty acid accumulation and process failure at the low organic loading rate (OLR). Conversely, by co-digesting FW with waste-activated sludge (WAS), a stable process with methane yields of up to 0.27 Nm kgVS for OLR = 1.7 gVS Ld was achieved. This stabilizing effect was not related to the buffering capacity of WAS, but to its capacity to avoid volatile fatty acid accumulation and falls in pH by overcoming methanogenic activity inhibition. WAS addition promoted the establishment of a stable and active archaeal population in anaerobic co-digestion (AcoD) reactors. The continuous supply of trace elements together with the seeding of microbial functional groups were the main drivers that positively affected process stability.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.nbt.2019.10.008 | DOI Listing |
Microb Ecol
January 2025
State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.
View Article and Find Full Text PDFInn Med (Heidelb)
January 2025
Lehrstuhl für Ernährung und Immunologie, School of Life Sciences, Technische Universität München, Gregor-Mendel-Straße 2, 85354, Freising, Deutschland.
Background: The intestinal microbiota comprises all living microorganisms in the gastrointestinal tract and is crucial for its function. Clinical observations and laboratory findings confirm a central role of the microbiota in chronic inflammatory bowel diseases (IBD). However, many mechanistic details remain unclear.
View Article and Find Full Text PDFMicrob Ecol
January 2025
IRD, UMR ENTROPIE, 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, La Réunion, France.
The marine microbiome arouses an increasing interest, aimed at better understanding coral reef biodiversity, coral resilience, and identifying bioindicators of ecosystem health. The present study is a microbiome mining of three environmentally contrasted sites along the Hermitage fringing reef of La Réunion Island (Western Indian Ocean). This mining aims to identify bioindicators of reef health to assist managers in preserving the fringing reefs of La Réunion.
View Article and Find Full Text PDFSci Rep
January 2025
BioResource Research Center, RIKEN, 3-1-1, Koyadai, Tsukuba, 305-0074, Ibaraki, Japan.
Omics data provide a plethora of quantifiable information that can potentially be used to identify biomarkers targeting the physiological processes and ecological phenomena of organisms. However, omics data have not been fully utilized because current prediction methods in biomarker construction are susceptible to data multidimensionality and noise. We developed OmicSense, a quantitative prediction method that uses a mixture of Gaussian distributions as the probability distribution, yielding the most likely objective variable predicted for each biomarker.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Thoracic Medicine and Surgery, Temple University Hospital, Philadelphia, Pennsylvania, USA.
A man in his 60s with advanced COPD and lung adenocarcinoma presented with sepsis and acute hypoxaemic respiratory failure. Imaging revealed bilateral pleural effusions, and he was found to have a polymicrobial empyema which included Despite appropriate treatment, he continued to deteriorate and ultimately died of sepsis. species, typically benign constituents of the oral microbiota, rarely can instigate pleuropulmonary infections, especially in immunocompromised individuals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!