Evidence map›Paper›PMID 37113665›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Ecology of food waste chain-elongating microbiome.

Simona Crognale, Alessio Massimi, Michela Sbicego, Camilla Maria Braguglia, Agata Gallipoli, Giulio Gazzola, Andrea Gianico, Barbara Tonanzi, Francesca Di Pippo, Simona Rossetti

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Gut Microbiome Profiling of the Endangered Southern Greater Glider (Animals : an open access journal from MDPI · 2023
    Article
  7. 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

10 authors.

Simona CrognaleWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Alessio MassimiWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Michela SbicegoWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Camilla Maria BragugliaWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Agata GallipoliWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Giulio GazzolaWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Andrea GianicoWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Barbara TonanziWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Francesca Di PippoWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.
Simona RossettiWater Research Institute, National Research Council of Italy, CNR-IRSA-Istituto di ricerca sulle acque, Roma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial chain elongation has emerged as a valuable bioprocess for obtaining marketable products, such as medium chain fatty acids usable in several industrial applications, from organic waste. The understanding of the microbiology and microbial ecology in these systems is crucial to apply these microbiomes in reliable production processes controlling microbial pathways to promote favourable metabolic processes, which will in turn increase product specificity and yields. In this research, the dynamics, cooperation/competition and potentialities of bacterial communities involved in the long-term lactate-based chain elongation process from food waste extract were evaluated under different operating conditions by DNA/RNA amplicon sequencing and functional profile prediction. The feeding strategies and the applied organic loading rates strongly affected the microbial community composition. The use of food waste extract promoted the selection of primary fermenters (i.e.,

Indexed as

biotic interactionscaproateDNA/RNA sequencing functional predictionfood wastemedium chain fatty acidsmicrobial chain elongationmicrobiomemultivariate statistics

Identifiers

PMID37113665
PMCPMC10126515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.