FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288045495> ?p ?o ?g. }

• W4288045495 endingPage "138290" @default.
• W4288045495 startingPage "138290" @default.
• W4288045495 abstract "Antibiotic resistance genes (ARGs) encode resistance against antibiotic drugs in bacteria. Carbapenem antibiotics are one of the last lines of defence against bacterial infections and carbapenem resistance genes (CRGs) accumulate in sludge during wastewater treatment. Anaerobic digestion is the most used method for sludge treatment, and it is important to know the abundance and removal of CRGs in anaerobically digested sludge before land application due to their public health relevance. However, gene quantification is time-consuming, costly, and sensitive to contamination. Previous research indicates a nexus between ARGs, solids, and nutrients in sludge. This study aimed to develop multiple regression models to estimate the abundance of CRGs from solids and nutrient concentrations in sludge, which are routinely measured for the monitoring and design of anaerobic digesters. Batch and continuous reactors were operated at mesophilic and thermophilic temperatures. Sludge samples were taken during digestion. CRGs (blaGES, blaOXA-48 and blaIMP-27), 16S rRNA and integron class 1 were quantified. Solids, chemical oxygen demand, orthophosphate and ammonia were measured as well. Anaerobic digestion reduced the quantity of the genes. First and second-order Kinetic rate constants (K1 and K2) were affected by temperature, and K1 absolute value followed the order blaOXA-48 > blaGES > Int 1. Multiple regression modelling was conducted in linear (LM) and non-linear (NLM) modes. This study presents the first NLM models to simulate the quantities of CRGs during anaerobic digestion of wastewater sludge at mesophilic and thermophilic temperatures. Adjusted R2 ranged 0.352–0.988 and 0.916–0.996 for the LM and NLM models, respectively. NLM models estimated the gene abundance more accurately than LM models, and they may be useful for researchers and practitioners to estimate the removal rate of target genes under different operational conditions." @default.
• W4288045495 created "2022-07-27" @default.
• W4288045495 creator A5033308769 @default.
• W4288045495 creator A5050440144 @default.
• W4288045495 date "2022-12-01" @default.
• W4288045495 modified "2023-10-17" @default.
• W4288045495 title "Development of non-linear empirical models to estimate the abundance of carbapenem resistance genes during anaerobic digestion of wastewater sludge at mesophilic and thermophilic temperatures" @default.
• W4288045495 cites W1169035206 @default.
• W4288045495 cites W1976416306 @default.
• W4288045495 cites W2007861418 @default.
• W4288045495 cites W2013783818 @default.
• W4288045495 cites W2017644247 @default.
• W4288045495 cites W2022579802 @default.
• W4288045495 cites W2022935203 @default.
• W4288045495 cites W2030076808 @default.
• W4288045495 cites W2054385769 @default.
• W4288045495 cites W2055617510 @default.
• W4288045495 cites W2057684478 @default.
• W4288045495 cites W2077668745 @default.
• W4288045495 cites W2093105838 @default.
• W4288045495 cites W2107925657 @default.
• W4288045495 cites W2120501335 @default.
• W4288045495 cites W2136699816 @default.
• W4288045495 cites W2148559548 @default.
• W4288045495 cites W2163351854 @default.
• W4288045495 cites W2211614773 @default.
• W4288045495 cites W2303943251 @default.
• W4288045495 cites W2319611956 @default.
• W4288045495 cites W2324402713 @default.
• W4288045495 cites W2330237168 @default.
• W4288045495 cites W2332192725 @default.
• W4288045495 cites W2533056548 @default.
• W4288045495 cites W2562089738 @default.
• W4288045495 cites W2577123186 @default.
• W4288045495 cites W2590726685 @default.
• W4288045495 cites W2594025382 @default.
• W4288045495 cites W2730547419 @default.
• W4288045495 cites W2767789590 @default.
• W4288045495 cites W2792654284 @default.
• W4288045495 cites W2894204206 @default.
• W4288045495 cites W2899456578 @default.
• W4288045495 cites W2907410350 @default.
• W4288045495 cites W2912518584 @default.
• W4288045495 cites W2947651497 @default.
• W4288045495 cites W2947659694 @default.
• W4288045495 cites W2981394430 @default.
• W4288045495 cites W2984419815 @default.
• W4288045495 cites W2995945950 @default.
• W4288045495 cites W3001137377 @default.
• W4288045495 cites W3007115203 @default.
• W4288045495 cites W3015547065 @default.
• W4288045495 cites W3021277448 @default.
• W4288045495 cites W3028308841 @default.
• W4288045495 cites W3121107010 @default.
• W4288045495 cites W3177011398 @default.
• W4288045495 cites W3205722065 @default.
• W4288045495 cites W4200165639 @default.
• W4288045495 cites W4205996045 @default.
• W4288045495 doi "https://doi.org/10.1016/j.cej.2022.138290" @default.
• W4288045495 hasPublicationYear "2022" @default.
• W4288045495 type Work @default.
• W4288045495 citedByCount "2" @default.
• W4288045495 countsByYear W42880454952023 @default.
• W4288045495 crossrefType "journal-article" @default.
• W4288045495 hasAuthorship W4288045495A5033308769 @default.
• W4288045495 hasAuthorship W4288045495A5050440144 @default.
• W4288045495 hasConcept C127413603 @default.
• W4288045495 hasConcept C181199279 @default.
• W4288045495 hasConcept C185592680 @default.
• W4288045495 hasConcept C18903297 @default.
• W4288045495 hasConcept C2777730692 @default.
• W4288045495 hasConcept C27911776 @default.
• W4288045495 hasConcept C31903555 @default.
• W4288045495 hasConcept C39432304 @default.
• W4288045495 hasConcept C42407357 @default.
• W4288045495 hasConcept C499616599 @default.
• W4288045495 hasConcept C5140985 @default.
• W4288045495 hasConcept C516920438 @default.
• W4288045495 hasConcept C523546767 @default.
• W4288045495 hasConcept C528095902 @default.
• W4288045495 hasConcept C54355233 @default.
• W4288045495 hasConcept C55493867 @default.
• W4288045495 hasConcept C57442070 @default.
• W4288045495 hasConcept C63223902 @default.
• W4288045495 hasConcept C86803240 @default.
• W4288045495 hasConcept C87717796 @default.
• W4288045495 hasConcept C89423630 @default.
• W4288045495 hasConceptScore W4288045495C127413603 @default.
• W4288045495 hasConceptScore W4288045495C181199279 @default.
• W4288045495 hasConceptScore W4288045495C185592680 @default.
• W4288045495 hasConceptScore W4288045495C18903297 @default.
• W4288045495 hasConceptScore W4288045495C2777730692 @default.
• W4288045495 hasConceptScore W4288045495C27911776 @default.
• W4288045495 hasConceptScore W4288045495C31903555 @default.
• W4288045495 hasConceptScore W4288045495C39432304 @default.
• W4288045495 hasConceptScore W4288045495C42407357 @default.
• W4288045495 hasConceptScore W4288045495C499616599 @default.
• W4288045495 hasConceptScore W4288045495C5140985 @default.

• next