Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327575219> ?p ?o ?g. }
- W4327575219 endingPage "20" @default.
- W4327575219 startingPage "1" @default.
- W4327575219 abstract "Using the Response Surface Methodology (RSM) and Rotational Central Composite Design (RCCD), this study evaluated the removal of DCF under denitrifying conditions, with ethanol as cosubstrate, in batch reactors, being 1 L Erlenmeyer flasks (330 mL of reactional volume) containing Dofing medium and kept under agitation at 130 rpm and incubated at mesophilic temperature (30 °C). It considered the individual and multiple effects of the variables: nitrate (130 - 230 mg NO3- L-1), DCF (60-100 µg DCF L-1) and ethanol (130 - 230 mg EtOH L-1). The highest drug removal efficiency (17.5%) and total nitrate removal were obtained at 176.6 ± 4.3 mg NO3-L-1, 76.8 ± 3.7 µg DCF L-1, and 180.0 ± 2.5 mg EtOH L-1. Under such conditions, the addition of ethanol and nitrate was significant for the additional removal of diclofenac (p > 0.05). The prevalence of Rhodanobacter, Haliangium and Terrimonas in the inoculum biomass (activated sludge systems) was identified through the 16S rRNA gene sequencing. The potential of these genera to remove nitrate and degrade diclofenac was inferred, and the main enzymes potentially involved in this process were α-methylacyl-CoA racemase, long-chain fatty acid-CoA ligase, catalases and pseudoperoxidases." @default.
- W4327575219 created "2023-03-17" @default.
- W4327575219 creator A5001667755 @default.
- W4327575219 creator A5027533177 @default.
- W4327575219 creator A5037800355 @default.
- W4327575219 creator A5043206679 @default.
- W4327575219 creator A5043403407 @default.
- W4327575219 creator A5058560001 @default.
- W4327575219 creator A5066354705 @default.
- W4327575219 date "2023-04-05" @default.
- W4327575219 modified "2023-10-01" @default.
- W4327575219 title "Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design" @default.
- W4327575219 cites W1201387843 @default.
- W4327575219 cites W1966101964 @default.
- W4327575219 cites W1991489295 @default.
- W4327575219 cites W1996391676 @default.
- W4327575219 cites W2001773481 @default.
- W4327575219 cites W2006991085 @default.
- W4327575219 cites W2007080839 @default.
- W4327575219 cites W2011791652 @default.
- W4327575219 cites W2012000929 @default.
- W4327575219 cites W2012242742 @default.
- W4327575219 cites W2020021522 @default.
- W4327575219 cites W2026347365 @default.
- W4327575219 cites W2041433226 @default.
- W4327575219 cites W2043697498 @default.
- W4327575219 cites W2049573213 @default.
- W4327575219 cites W2061827758 @default.
- W4327575219 cites W2066349138 @default.
- W4327575219 cites W2069034256 @default.
- W4327575219 cites W2076288335 @default.
- W4327575219 cites W2089196290 @default.
- W4327575219 cites W2089570742 @default.
- W4327575219 cites W2091574496 @default.
- W4327575219 cites W2092857109 @default.
- W4327575219 cites W2093808597 @default.
- W4327575219 cites W2116694701 @default.
- W4327575219 cites W2124432551 @default.
- W4327575219 cites W2163169737 @default.
- W4327575219 cites W2165073008 @default.
- W4327575219 cites W2230262356 @default.
- W4327575219 cites W2236757649 @default.
- W4327575219 cites W2291205417 @default.
- W4327575219 cites W2365349616 @default.
- W4327575219 cites W2380233884 @default.
- W4327575219 cites W2430438061 @default.
- W4327575219 cites W2495553556 @default.
- W4327575219 cites W2513109887 @default.
- W4327575219 cites W2519879681 @default.
- W4327575219 cites W2534198633 @default.
- W4327575219 cites W2553964255 @default.
- W4327575219 cites W2593536873 @default.
- W4327575219 cites W2604345961 @default.
- W4327575219 cites W2766498054 @default.
- W4327575219 cites W2779676138 @default.
- W4327575219 cites W2805536743 @default.
- W4327575219 cites W2865389599 @default.
- W4327575219 cites W2884444733 @default.
- W4327575219 cites W2884811312 @default.
- W4327575219 cites W2889395277 @default.
- W4327575219 cites W2922330444 @default.
- W4327575219 cites W2948281621 @default.
- W4327575219 cites W2972800052 @default.
- W4327575219 cites W2995926614 @default.
- W4327575219 cites W3011886428 @default.
- W4327575219 cites W3014834122 @default.
- W4327575219 cites W3024520001 @default.
- W4327575219 cites W3031621681 @default.
- W4327575219 cites W3036632115 @default.
- W4327575219 cites W3037106378 @default.
- W4327575219 cites W3037503940 @default.
- W4327575219 cites W3043822273 @default.
- W4327575219 cites W3097157407 @default.
- W4327575219 cites W3162411674 @default.
- W4327575219 cites W3173339736 @default.
- W4327575219 cites W4212993859 @default.
- W4327575219 cites W4244379925 @default.
- W4327575219 cites W4283592634 @default.
- W4327575219 cites W4311675693 @default.
- W4327575219 doi "https://doi.org/10.1080/09593330.2023.2192365" @default.
- W4327575219 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36927407" @default.
- W4327575219 hasPublicationYear "2023" @default.
- W4327575219 type Work @default.
- W4327575219 citedByCount "1" @default.
- W4327575219 countsByYear W43275752192023 @default.
- W4327575219 crossrefType "journal-article" @default.
- W4327575219 hasAuthorship W4327575219A5001667755 @default.
- W4327575219 hasAuthorship W4327575219A5027533177 @default.
- W4327575219 hasAuthorship W4327575219A5037800355 @default.
- W4327575219 hasAuthorship W4327575219A5043206679 @default.
- W4327575219 hasAuthorship W4327575219A5043403407 @default.
- W4327575219 hasAuthorship W4327575219A5058560001 @default.
- W4327575219 hasAuthorship W4327575219A5066354705 @default.
- W4327575219 hasBestOaLocation W43275752192 @default.
- W4327575219 hasConcept C105795698 @default.
- W4327575219 hasConcept C150077022 @default.
- W4327575219 hasConcept C169222746 @default.
- W4327575219 hasConcept C178790620 @default.