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Alice C. Layton

Researcher at University of Tennessee

Publications -  103
Citations -  5534

Alice C. Layton is an academic researcher from University of Tennessee. The author has contributed to research in topics: Bioreporter & Fecal coliform. The author has an hindex of 37, co-authored 103 publications receiving 5175 citations. Previous affiliations of Alice C. Layton include Eastman Chemical Company.

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Development of Bacteroides 16S rRNA Gene TaqMan-Based Real-Time PCR Assays for Estimation of Total, Human, and Bovine Fecal Pollution in Water

TL;DR: In this article, a real-time Bacteroides species (AllBac) detection was performed on human, cattle, and equine feces, and the results showed that the AllBac detection can be used to estimate the total amount of fecal contamination in water.
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Real-time PCR quantification of nitrifying bacteria in a municipal wastewater treatment plant.

TL;DR: Real-time PCR assays using TaqMan or Molecular Beacon probes were developed and optimized for the quantification of total bacteria, the nitrite-oxidizing bacteria Nitrospira, and Nitrosomonas oligotropha-like ammonia oxidizing bacteria (AOB) in mixed liquor suspended solids from a municipal wastewater treatment plant (WWTP) using a single-sludge nitrification process.
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Quantification of Nitrosomonas oligotropha-Like Ammonia-Oxidizing Bacteria and Nitrospira spp. from Full-Scale Wastewater Treatment Plants by Competitive PCR

TL;DR: This study extended the knowledge of the comparative compositions of nitrifying bacterial populations in wastewater treatment systems and demonstrated that it was able to quantify these populations, which ultimately will be required for accurate prediction of process performance and stability for cost-effective design and operation of WWTPs.
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Mineralization of Steroidal Hormones by Biosolids in Wastewater Treatment Systems in Tennessee U.S.A.

TL;DR: The importance of adapted microbial populations in the removal of estrogen was shown by the dramatic differences in mineralization of 14C-17β-estradiol by biosolids from a municipal plant compared to that from the industrial plant, 84% versus 4%, respectively.
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Estrogen content of dairy and swine wastes.

TL;DR: Estrogen to macronutrient ratios are proportional to areal mass application rates of estrogen to fields and can be used to better predict estrogen loading rates on fields receiving swine and dairy wastes.