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Planktonic Microbial Population Profiles Do Not Accurately Represent Sessile Population Profiles

Product Number: 51313-02780-SG
ISBN: 02780 2013 CP
Author: Jodi Wrangham
Publication Date: 2013
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Obtaining representative and accurate microbiological samples often proves challenging in the oil and gas industry. It is common to sample and test fluids (containing planktonic microbes) for the detection and enumeration of problematic species despite the fact that biofilm or sessile (attached to pipe or vessel wall) microbes are those which cause the majority of problems. This practice occurs because many field scenarios do not allow for sessile sampling. Collecting a representative sample is imperative in any microbial monitoring program as they estimate the risk to the facilities and misinformation can lead to MIC failures or other costly consequences. These planktonic samples are also often used for kill tests or biocide selection testing which may not accurately determine the ideal chemistry for the eradication of the sessile bacteria consortia.
Here metagenomic population analyses of planktonic and sessile samples taken from three geographically distant locations revealed that in most instances the planktonic sample population is not representative of the sessile population. In fact the same location planktonic and sessile samples may be as different from each other as samples obtained from other locations. Therefore planktonic sample analyses should not be inferred to represent the sessile population and associated risk to the asset.
 

Obtaining representative and accurate microbiological samples often proves challenging in the oil and gas industry. It is common to sample and test fluids (containing planktonic microbes) for the detection and enumeration of problematic species despite the fact that biofilm or sessile (attached to pipe or vessel wall) microbes are those which cause the majority of problems. This practice occurs because many field scenarios do not allow for sessile sampling. Collecting a representative sample is imperative in any microbial monitoring program as they estimate the risk to the facilities and misinformation can lead to MIC failures or other costly consequences. These planktonic samples are also often used for kill tests or biocide selection testing which may not accurately determine the ideal chemistry for the eradication of the sessile bacteria consortia.
Here metagenomic population analyses of planktonic and sessile samples taken from three geographically distant locations revealed that in most instances the planktonic sample population is not representative of the sessile population. In fact the same location planktonic and sessile samples may be as different from each other as samples obtained from other locations. Therefore planktonic sample analyses should not be inferred to represent the sessile population and associated risk to the asset.
 

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