Evidence map›Paper›PMID 25126487›Full record

ArticleSpringerPlus2014

Evaluation of industrial dairy waste (milk dust powder) for acetone-butanol-ethanol production by solventogenic Clostridium species.

Victor Ujor, Ashok Kumar Bharathidasan, Katrina Cornish, Thaddeus Chukwuemeka Ezeji

Abstract read
In one paragraph

Article in SpringerPlus, 2014. 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. Review
  4. Review
  5. Article
  6. Biobutanol from cheese whey.Microbial cell factories · 2015
    Review
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

4 authors.

Victor UjorDepartment of Animal Sciences, The Ohio State University (OSU) and Ohio Agricultural Research and Development Center (OARDC), Wooster, USA.
Ashok Kumar BharathidasanDepartment of Food, Agricultural and Biological Engineering, The Ohio State University (OSU) and Ohio Agricultural Research and Development Center (OARDC), Wooster, USA.
Katrina CornishDepartment of Horticulture & Crop Sciences, The Ohio State University (OSU) and Ohio Agricultural Research and Development Center (OARDC), Wooster, USA.
Thaddeus Chukwuemeka EzejiDepartment of Animal Sciences, The Ohio State University (OSU) and Ohio Agricultural Research and Development Center (OARDC), Wooster, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Readily available inexpensive substrate with high product yield is the key to restoring acetone-butanol-ethanol (ABE) fermentation to economic competitiveness. Lactose-replete cheese whey tends to favor the production of butanol over acetone. In the current study, we investigated the fermentability of milk dust powder with high lactose content, for ABE production by Clostridium acetobutylicum and Clostridium beijerinckii. Both microorganisms produced 7.3 and 5.8 g/L of butanol respectively, with total ABE concentrations of 10.3 and 8.2 g/L, respectively. Compared to fermentation with glucose, fermentation of milk dust powder increased butanol to acetone ratio by 16% and 36% for C. acetobutylicum and C. beijerinckii, respectively. While these results demonstrate the fermentability of milk dust powder, the physico-chemical properties of milk dust powder appeared to limit sugar utilization, growth and ABE production. Further work aimed at improving the texture of milk dust powder-based medium would likely improve lactose utilization and ABE production.

Indexed as

ButanolClostridium acetobutylicumClostridium beijerinckiiFood wasteMilk dust

Identifiers

PMID25126487
PMCPMC4130963

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.