Literature DB >> 21604805

Extreme variability of steroid profiles in cow feces and pig slurries at the regional scale: implications for the use of steroids to specify fecal pollution sources in waters.

Morgane Derrien1, Emilie Jarde, Gerard Gruau, Anne-Catherine Pierson-Wickmann.   

Abstract

Thirty-five samples of cow feces (cowpat and cow manure) and pig slurries subjected to different treatment processes and different storage times before land spreading were extracted and analyzed by gas chromatography-mass spectrometry to determine their fecal stanol profiles. The fresh pig slurry data presented here increase considerably the classical range of values obtained for steroid ratios, resulting in an overlap with the range for cow feces. These results lead to the inability to distinguish species source of feces on the basis of steroid ratios alone. The cause of these differences is not known, although it appears likely to be related to differences in the metabolism of animals in relation to their age and/or variations in diet, rather than to secondary mechanisms of steroid degradation during storage or/and treatment of the feces. Nevertheless, the specificity of steroids to serve as a tool to differentiate cow feces from pig slurries is restored by considering the fecal stanol profile, notably, the six most diagnostic stanol compounds, which are 5β-cholestan-3β-ol (coprostanol), 5β-cholestan-3α-ol (epicoprostanol), 24-methyl-5α-cholestan-3β-ol (campestanol), 24-ethyl-5α-cholestan-3β-ol (sitostanol), 24-ethyl-5β-cholestan-3β-ol (24-ethylcoprostanol), and 24-ethyl-5β-cholestan-3α-ol (24-ethylepicoprostanol). In this study, chemometric analysis of the fingerprint of these six stanols using principal components analysis (PCA) distinguished pig slurries from cow feces. The application of PCA to the stanol profiles, as developed in this study, could be a promising tool for identifying the animal source in fecal contamination of waters.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21604805     DOI: 10.1021/jf201040v

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

1.  Identifying avian sources of faecal contamination using sterol analysis.

Authors:  Megan L Devane; David Wood; Andrew Chappell; Beth Robson; Jenny Webster-Brown; Brent J Gilpin
Journal:  Environ Monit Assess       Date:  2015-09-14       Impact factor: 2.513

2.  Development of the analysis of fecal stanols in the oyster Crassostrea gigas and identification of fecal contamination in shellfish harvesting areas.

Authors:  Loïc Harrault; Emilie Jardé; Laurent Jeanneau; Patrice Petitjean
Journal:  Lipids       Date:  2014-04-27       Impact factor: 1.880

3.  Steroid Biomarkers Revisited - Improved Source Identification of Faecal Remains in Archaeological Soil Material.

Authors:  Katharina Prost; Jago Jonathan Birk; Eva Lehndorff; Renate Gerlach; Wulf Amelung
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

4.  Faecal biomarkers can distinguish specific mammalian species in modern and past environments.

Authors:  Loïc Harrault; Karen Milek; Emilie Jardé; Laurent Jeanneau; Morgane Derrien; David G Anderson
Journal:  PLoS One       Date:  2019-02-07       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.