Resource recovery from the anaerobic digestion of food waste is underpinned by cross-kingdom microbial activities

Nzeteu, Corine; Joyce, Aoife; Thorn, Camilla; McDonnell, Kevin; Shirran, Sally L.; O’Flaherty, Vincent; Abram, Florence

doi:10.1016/j.biteb.2021.100847

Cited by 11 publications

(9 citation statements)

References 64 publications

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“…The highest production of each acid was different depending on the pH: 73.85 mg/L Hac (pH 7.5, 12 days), 106.73 mg/L Hpro (pH 8.5, 8 days), 114.53 mg/L Hbut, 17.73 mg/L Hibut, 24.4 mg/L Hival, and 27.55 mg/L Hval, all at pH 8.5, 12 days. These results agreed with Nzeteu et al ( 2021 ) and Khatami et al ( 2021 ). The proportions of the produced acids HBut:HAc:HPro:HVal:Hibut:Hival were also influenced by the initial pH, and the ratios were 41:27:15:5:9:3 (pH 5.5), 46:20:21:5:4:4 (pH 6.5), 35:33:14:5:6 (pH 7.5), and 37:23:17:6:7:8 (pH 8.5).…”

Section: Resultssupporting

confidence: 93%

“…S1), in agreement with Khatami et al ( 2021 ). The genera Peptostreptococcaceae , Clostridium, Caproiciproducens , Ruminococcaceae, Romboutsia, Clostridium sensu stricto , and Fonticella have been reported to be VFAs producers (Wang et al 2018 , 2020 ; Khatami et al 2021 ; Nzeteu et al 2021 ; Li et al 2022 ).…”

Section: Discussionmentioning

confidence: 99%

“…The metabolic pathways and microorganisms involved in the methanogenic stage have been extensively studied, whereas the preceding stages are less known (Sträuber et al 2012 ). Probably the most recognized product from AD is biogas; however, other metabolites from the earlier stages are also highly important, with a great variety of applications, such as volatile fatty acids (VFAs) (Pervez et al 2022 ; Khatami et al 2021 ; Nzeteu et al 2021 ) and phytohormones (Li et al 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…VFAs are short-chain aliphatic monocarboxylate compounds containing two to six carbon atoms, such as acetic, propionic, butyric, isobutyric, valeric, isovaleric, and caproic acids. VFAs are important starting materials for the production of biofuels, olefins, alcohols, ketones and biodegradable plastics (Wang et al 2019 ; Khatami et al 2021 ; Greses et al 2020 ), and are widely used in the textile, food, cosmetics, and pharmaceutical industries (Nzeteu et al 2021 ). The current costs of butyric, acetic and propionic acids are 1500–1650, 400–400 and 2000–2500 euros/ton, respectively (Khatami et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Effect of the initial pH on the anaerobic digestion process of dairy cattle manure

et al. 2022

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Anaerobic digestion (AD) has recently been studied to obtain products of greater interest than biogas, such as volatile fatty acids (VFAs) and phytoregulators. The effect of the initial pH of cow manure and the fermentation time of the AD on the microbial composition, VFAs, indole-3-acetic acid (IAA) and gibberellic acid (GA3) production was evaluated. The cow manure (7% solids) was adjusted to initial pH values of 5.5, 6.5, 7.5, and 8.5, and the AD products were analyzed every four days until day 20. The initial pH and the fermentation time had an important effect on the production of metabolites. During AD, only the hydrolytic and acidogenic stages were identified, and the bacteria found were from the phyla Firmicutes, Bacteroidetes, Actinobacteria, and Spirochaetes. The most abundant genera produced in the four AD were Caproiciproducens, Clostridium sensu stricto 1, Romboutsia, Paeniclostridium, Turicibacter, Peptostreptococcaceae, Ruminococcaceae and Fonticella. The highest amount of VFAs was obtained at pH 8.5, and the production of the acids was butyric > acetic > propionic. The maximum production of GA3 and IAA was at an initial pH of 6.5 on day 20 and a pH of 5.5 on day 4, respectively. There was a strong correlation (> 0.8) between the most abundant microorganisms and the production of VFAs and GA3. The anaerobic digestion of cow manure is a good alternative for the production of VFAs, GA3 and IAA.

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Section: Resultssupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of the initial pH on the anaerobic digestion process of dairy cattle manure

et al. 2022

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“…They are composed of long chains of amino acids which define their structure and consequently their function. As they are fundamental to all living organisms, the accurate identification of these proteins has wide ranging significance from the detection of cancer to the optimization of resource recovery from food waste products . When profiling protein expression (proteomics), the identification process typically involves the enzymatic digestion of the proteins down into smaller sequences of amino acids called peptides.…”

Section: Introductionmentioning

confidence: 99%

Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding

2022

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Almost all state-of-the-art de novo peptide sequencing algorithms now use machine learning models to encode fragment peaks and hence identify amino acids in mass spectrometry (MS) spectra. Previous work has highlighted how the inherent MS challenges of noise and missing peptide peaks detrimentally affect the performance of these models. In the present research we extracted and evaluated the encoding modules from 3 state-of-the-art de novo peptide sequencing algorithms. We also propose a convolutional neural network-graph neural network machine learning model for encoding peptide ions in tandem MS spectra. We compared the proposed encoding module to those used in the state-of-the-art de novo peptide sequencing algorithms by assessing their ability to identify b-ions and y-ions in MS spectra. This included a comprehensive evaluation in both real and artificial data across various levels of noise and missing peptide peaks. The proposed model performed best across all data sets using two different metrics (area under the receiver operating characteristic curve (AUC) and average precision). The work also highlighted the effect of including additional features such as intensity rank in these encoding modules as well as issues with using the AUC as a metric. This work is of significance to those designing future de novo peptide identification algorithms as it is the first step toward a new approach.

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Microbial biomass production from enzymatically saccharified organic municipal waste and present microbial inhibitors

Rudnyckyj,

Chaturvedi,

Thomsen

2024

Biomass Conv. Bioref.

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The study investigated the potential of the organic fraction of municipal solid waste (OFMSW) for microbial biomass production. The compositional analysis of OFMSW showed richness in sugars, proteins, lipids, organic acids, and ethanol, suggesting promising cheap cultivation feedstock if inhibitory compounds are sustainably detoxified. The enzymatic hydrolysis with Cellic® CTec3 and AMG® 300 L BrewQ (Novozymes A/S) demonstrated excellent saccharification of sugar polymer, reaching 92% glucan hydrolysis and 70% xylan hydrolysis. However, higher enzymatic dosages led to a rise in the total organic acids content, potentially causing increased microbial inhibition. Full hydrolysate and hydrolysate after solids removal were cultivated with seven robust microbial strains. Cultivation on hydrolysate with solids showed consumption of sugars and organic acids solely by commercial backer yeast Saccharomyces cerevisiae. Removal of solids from hydrolysate resulted in increased performance of tested strains, showing consumption of measured organic acids and ethanol by S. cerevisiae, Yarrowia lipolytica DSM 8218, and Cutaneotrichosporon oleaginosus ATCC 20509. Remarkably, the investigation of biomass production revealed superior cell mass formation and detoxification by S. cerevisiae, resulting in 18.9 g of biomass/L hydrolysate with 50% of crude protein (w/w) in shake flasks and 13.2 g/L of hydrolase with 46% of crude protein (w/w) in a 5-L bioreactor. Furthermore, bioreactor cultivation confirmed organic acids and ethanol conversion into biomass, highlighting S. cerevisiae’s suitability for utilizing OFMSW for microbial biomass production. These findings contribute to advancements in biowaste-to-fodder conversion, promoting the development of a more sustainable circular economy. Graphical abstract

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Resource recovery from the anaerobic digestion of food waste is underpinned by cross-kingdom microbial activities

Cited by 11 publications

References 64 publications

Effect of the initial pH on the anaerobic digestion process of dairy cattle manure

Effect of the initial pH on the anaerobic digestion process of dairy cattle manure

Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding

Microbial biomass production from enzymatically saccharified organic municipal waste and present microbial inhibitors

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