4-Nonylphenol degradation changes microbial community of scale-up Anaerobic Fluidized Bed Reactor

Microbial synergies drive simultaneous biodegradation of ethoxy and alkyl chains of Nonylphenol Ethoxylate in fluidized bed reactors

The widely-used surfactant Nonylphenol Ethoxylate (NPEO) produces endocrine-disrupting compounds during biodegradation, with these byproducts being more harmful than untreated NPEO. This study investigates the effectiveness of a Fluidized Bed Reactor (FBR) in reducing the production of 4-Nonylphenol (4-NP) during the biodegradation of NPEO. Two identical FBR filled with sand were used to assess the NPEO degradation and to enhance the microbial consortia capable of breaking down the complex byproducts, ethanol and fumarate were introduced as co-substrates. Our findings demonstrate the significant potential of the FBR, especially when coupled with fumarate, for enhancing the surfactant degradation. It outperforms the efficiency achieved with ethanol as the primary electron donor, albeit with a higher rate of byproduct production. Microbial community taxonomy and metabolic prediction revealed the high abundance of Geobacter (1.51-31.71%) and Methanobacterium (1.08-13.81%) in non-conductive sand. This may hint a new metabolic interaction and expand our understanding of Direct Interspecies Electron Transfer (DIET) in bioreactors applied to micropollutants degradation. Such an intricate relationship between facultative and anaerobes working together to simultaneously biodegrade the ethoxy and alkyl chains presents a new perspective on NPEO degradation and can potentially be extended to other micropollutants.

Removal of nonylphenol ethoxylate surfactant in batch reactors: emphasis on methanogenic potential and microbial community characterization under optimized conditions

ABSTRACTNonylphenol ethoxylate (NPE) is an endocrine-disrupting chemical that has bioaccumulative, persistent and toxic characteristics in different environmental matrices and is difficult to remove in sewage treatment plants. In this study, the effects of the initial concentration of NPE (0.2 ± 0.03 - 3.0 ± 0.02 mg. L-1) and ethanol (73.9 ± 5.0-218.6 ± 10.6 mg. L-1) were investigated using factorial design. Assays were carried out in anaerobic batch reactors, using the Zinder basal medium, yeast extract (200 mg. L-1), vitamin solution and sodium bicarbonate (10% v/v). The optimal conditions were 218.56 mg.L-1 of ethanol and 1596.51 µg.L-1 of NPE, with 92% and 88% of NPE and organic matter removal, respectively, and methane yield (1689.8 ± 59.6 mmol) after 450 h of operation. In this condition, bacteria potentially involved in the degradation of this surfactant were identified in greater relative abundance, such as Acetoanaerobium (1.68%), Smithella (1.52%), Aminivibrio (0.91%), Petrimonas (0.57%) and Enterobacter (0.47%), as well as archaea Methanobacterium and Methanoregula, mainly involved in hydrogenotrophic pathway.

Potential methanogenic and degradation of nonylphenol ethoxylate from domestic sewage: unravelling the essential roles of nutritional conditions and microbial community

Nonylphenol ethoxylathe (NPEO) is a non-ionic surfactant of increasing concern, used in the formulation of laundry detergents and is frequently found in aquatic environments. The purpose of this study was to evaluate the effects of yeast extract (YE) and sodium fumarate (SF) in NPEO removal from domestic sewage under anaerobic conditions via central composite rotatable design (CCRD) and response surface methodology (RSM). Experiments were designed by varying concentrations of NPEO (1.6-5.8 mg L^-1), YE (131.8-468.2 mg L^-1) and SF (97.7-602.3 mg L^-1) in batch reactors. SF and YE addition significantly influenced NPEO removal and CH₄ production. Optimal values of YE (400 mg L^-1) and SF (200 mg L^-1) result in removal efficiency of 97% for 5 mg L^-1 of NPEO, being mostly removed by biodegradation (86%). Meanwhile COD removal was 95% and methane yield was 134 ± 4 NmLCH₄ g^-¹COD_removed. The most abundant Bacteria genus identified were Macellibacteroides, Longilinea, Petrimonas and Proteiniphilum, while for Archaea, Methanosaeta and Methanoregula were the genera identified in higher relative abundances in optimized conditions.

Microbiome analysis reveals the alterations in gut microbiota in different intestinal segments of Yimeng black goats

Mounting evidence revealed the importance of gut microbiota in host metabolism, immunity and physiology, and health. Yimeng black goats (YBGs) mainly distributed in Shandong province of China, displayed a complicated intestinal microecosystem, but studies of its gut microbiota are still insufficient to report. Therefore, this study was performed with an objective to characterize the intestinal microbial community structure and diversity in the small intestine (duodenum, jejunum and ileum) and cecum of YBGs and investigated the variability of gut microbiota of different intestinal segments. A total of 12 intestinal samples were collected from YBGs for high-throughput sequencing analysis based on V3-V4 variable region of 16S rRNA genes. Our results revealed alterations in gut microbial composition with obvious differences in relative abundance between the different intestinal segments. Additionally, small intestine including duodenum, jejunum and ileum not only displayed higher species abundance and diversity than cecum but also showed a significant difference among the main components of gut microbiota based on the analytical results of alpha and beta diversities. At the phylum level, Firmicutes and Proteobacteria were the most preponderant phyla in all the samples regardless of intestinal sites. Moreover, the microbiota in small intestine was significantly different from cecum, which were characterized by the higher relative abundance of Butyrivibrio_2, Megasphaera, Halomonas, Delftia, Hydrogenophaga, Limnobacter, Pseudoxanthomonas, Novosphingobium, Janibacter and Erythrobacter, whereas the levels of Butyricicoccus, unidentified_Lachnospiraceae, Fusicatenibacter, Akkermansia, Ruminococcaceae_NK4A214_group and Lactobacillus were lower. Overall, this study first characterized the profile of gut microbiota composition in different intestinal sites and provide better insight into intestinal microbial community structure and diversity of YBGs.