Evidence map›Paper›PMID 30140256›Full record

ArticleFrontiers in microbiology2018

Attenuating Sulfidogenesis in a Soured Continuous Flow Column System With Perchlorate Treatment.

Anna L Engelbrektson, Yiwei Cheng, Christopher G Hubbard, Yong T Jin, Bhavna Arora, Lauren M Tom, Ping Hu, Anna-Lena Grauel, Mark E Conrad, Gary L Andersen and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. A short critique on biomining technology for critical materials.World journal of microbiology & biotechnology · 2021
    Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Anna L EngelbrektsonEnergy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.
Yiwei ChengLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Christopher G HubbardLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Yong T JinEnergy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.
Bhavna AroraLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Lauren M TomLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Ping HuLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Anna-Lena GrauelLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Mark E ConradLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Gary L AndersenLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
Jonathan B Ajo-FranklinLawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States.
John D CoatesEnergy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen sulfide production by sulfate reducing bacteria (SRB) is the primary cause of oil reservoir souring. Amending environments with chlorate or perchlorate [collectively denoted (per)chlorate] represents an emerging technology to prevent the onset of souring. Recent studies with perchlorate reducing bacteria (PRB) monocultures demonstrated that they have the innate capability to enzymatically oxidize sulfide, thus PRB may offer an effective means of reversing souring. (Per)chlorate may be effective by (i) direct toxicity to SRB; (ii) competitive exclusion of SRB by PRB; or (iii) reversal of souring through re-oxidation of sulfide by PRB. To determine if (per)chlorate could sweeten a soured column system and assign a quantitative value to each of the mechanisms we treated columns flooded with San Francisco bay water with temporally decreasing amounts (50, 25, and 12.5 mM) of (per)chlorate. Geochemistry and the microbial community structure were monitored and a reactive transport model was developed, Results were compared to columns treated with nitrate or untreated. Souring was reversed by all treatments at 50 mM but nitrate-treated columns began to re-sour when treatment concentrations decreased (25 mM). Re-souring was only observed in (per)chlorate-treated columns when concentrations were decreased to 12.5 mM and the extent of re-souring was less than the control columns. Microbial community analyses indicated treatment-specific community shifts. Nitrate treatment resulted in a distinct community enriched in genera known to perform sulfur cycling metabolisms and genera capable of nitrate reduction. (Per)chlorate treatment enriched for (per)chlorate reducing bacteria. (Per)chlorate treatments only enriched for sulfate reducing organisms when treatment levels were decreased. A reactive transport model of perchlorate treatment was developed and a baseline case simulation demonstrated that the model provided a good fit to the effluent geochemical data. Subsequent simulations teased out the relative role that each of the three perchlorate inhibition mechanisms played during different phases of the experiment. These results indicate that perchlorate addition is an effective strategy for both souring prevention and souring reversal. It provides insight into which organisms are involved, and illuminates the interactive effects of the inhibition mechanisms, further highlighting the versatility of perchlorate as a sweetening agent.

Indexed as

perchlorate reductionpetroleum microbiologysouringsulfate reductionsulfur

Identifiers

PMID30140256
PMCPMC6094985

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.