Matches in SemOpenAlex for { <https://semopenalex.org/work/W2214461447> ?p ?o ?g. }
- W2214461447 endingPage "329" @default.
- W2214461447 startingPage "321" @default.
- W2214461447 abstract "Microbially influenced corrosion (MIC) in concrete results in significant cost for infrastructure maintenance. Prior studies have employed molecular techniques to identify microbial community species in corroded concrete, but failed to explore bacterial activity and functionality during deterioration. In this study, biofilms of different sulfur-oxidizing bacteria compositions were developed on the surface of cement paste samples to simulate the natural ecological succession of microbial communities during MIC processes. Noninvasive, self-referencing (SR) microsensors were used to quantify real time changes of oxygen, hydrogen ion and calcium ion flux for the biofilm to provide more information about bacterial behavior during deterioration. Results showed higher transport rates in oxygen consumption, and hydrogen ion at 4 weeks than 2 weeks, indicating increased bacterial activity over time. Samples with five species biofilm had the highest hydrogen ion and calcium ion transport rates, confirming attribution of acidophilic sulfur-oxidizing microorganisms (ASOM). Differences in transport rates between three species samples and two species samples confirmed the diversity between Thiomonas intermedia and Starkeya novella. The limitations of SR sensors in corrosion application could be improved in future studies when combined with molecular techniques to identify the roles of major bacterial species in the deterioration process." @default.
- W2214461447 created "2016-06-24" @default.
- W2214461447 creator A5014260612 @default.
- W2214461447 creator A5051658901 @default.
- W2214461447 creator A5064736695 @default.
- W2214461447 creator A5068619701 @default.
- W2214461447 date "2016-02-01" @default.
- W2214461447 modified "2023-09-25" @default.
- W2214461447 title "Monitoring sulfide-oxidizing biofilm activity on cement surfaces using non-invasive self-referencing microsensors" @default.
- W2214461447 cites W1487638267 @default.
- W2214461447 cites W1510829980 @default.
- W2214461447 cites W1525798350 @default.
- W2214461447 cites W1587046247 @default.
- W2214461447 cites W1782915324 @default.
- W2214461447 cites W1918315374 @default.
- W2214461447 cites W1934456410 @default.
- W2214461447 cites W194772169 @default.
- W2214461447 cites W1951770649 @default.
- W2214461447 cites W1964409630 @default.
- W2214461447 cites W1968583294 @default.
- W2214461447 cites W1972578391 @default.
- W2214461447 cites W1999191504 @default.
- W2214461447 cites W2000452849 @default.
- W2214461447 cites W2003792184 @default.
- W2214461447 cites W2003826916 @default.
- W2214461447 cites W2003976739 @default.
- W2214461447 cites W2005105114 @default.
- W2214461447 cites W2007697950 @default.
- W2214461447 cites W2011653753 @default.
- W2214461447 cites W2023981655 @default.
- W2214461447 cites W2028751756 @default.
- W2214461447 cites W2032240043 @default.
- W2214461447 cites W2034537780 @default.
- W2214461447 cites W2035208217 @default.
- W2214461447 cites W2037209995 @default.
- W2214461447 cites W2039570862 @default.
- W2214461447 cites W2040124500 @default.
- W2214461447 cites W2047290567 @default.
- W2214461447 cites W2047392653 @default.
- W2214461447 cites W2049040450 @default.
- W2214461447 cites W2049924583 @default.
- W2214461447 cites W2051485320 @default.
- W2214461447 cites W2056777300 @default.
- W2214461447 cites W2058212232 @default.
- W2214461447 cites W2060565982 @default.
- W2214461447 cites W2064409785 @default.
- W2214461447 cites W2066538104 @default.
- W2214461447 cites W2068822534 @default.
- W2214461447 cites W2069757179 @default.
- W2214461447 cites W2071470827 @default.
- W2214461447 cites W2073207019 @default.
- W2214461447 cites W2080108211 @default.
- W2214461447 cites W2084023279 @default.
- W2214461447 cites W2084312799 @default.
- W2214461447 cites W2097232757 @default.
- W2214461447 cites W2103255709 @default.
- W2214461447 cites W2103623715 @default.
- W2214461447 cites W2107944084 @default.
- W2214461447 cites W2118537438 @default.
- W2214461447 cites W2122794664 @default.
- W2214461447 cites W2134556385 @default.
- W2214461447 cites W2137954042 @default.
- W2214461447 cites W2138257028 @default.
- W2214461447 cites W2144315073 @default.
- W2214461447 cites W2154283886 @default.
- W2214461447 cites W2155665618 @default.
- W2214461447 cites W2317972053 @default.
- W2214461447 cites W2625880862 @default.
- W2214461447 cites W2885549518 @default.
- W2214461447 cites W4251435089 @default.
- W2214461447 doi "https://doi.org/10.1016/j.watres.2015.11.066" @default.
- W2214461447 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26707733" @default.
- W2214461447 hasPublicationYear "2016" @default.
- W2214461447 type Work @default.
- W2214461447 sameAs 2214461447 @default.
- W2214461447 citedByCount "6" @default.
- W2214461447 countsByYear W22144614472016 @default.
- W2214461447 countsByYear W22144614472018 @default.
- W2214461447 countsByYear W22144614472019 @default.
- W2214461447 countsByYear W22144614472021 @default.
- W2214461447 countsByYear W22144614472022 @default.
- W2214461447 crossrefType "journal-article" @default.
- W2214461447 hasAuthorship W2214461447A5014260612 @default.
- W2214461447 hasAuthorship W2214461447A5051658901 @default.
- W2214461447 hasAuthorship W2214461447A5064736695 @default.
- W2214461447 hasAuthorship W2214461447A5068619701 @default.
- W2214461447 hasConcept C107872376 @default.
- W2214461447 hasConcept C175605896 @default.
- W2214461447 hasConcept C178790620 @default.
- W2214461447 hasConcept C185592680 @default.
- W2214461447 hasConcept C191897082 @default.
- W2214461447 hasConcept C192562407 @default.
- W2214461447 hasConcept C20625102 @default.
- W2214461447 hasConcept C518881349 @default.
- W2214461447 hasConcept C523546767 @default.
- W2214461447 hasConcept C523993062 @default.
- W2214461447 hasConcept C54355233 @default.
- W2214461447 hasConcept C58123911 @default.