Evidence map›Paper›PMID 35608668›Full record

ArticleApplied microbiology and biotechnology2022

Solid-state co-culture fermentation of simulated food waste with filamentous fungi for production of bio-pigments.

Derek Troiano, Valérie Orsat, Marie-Josée Dumont

Abstract read
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In one paragraph

Article in Applied microbiology and biotechnology, 2022. 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. Review
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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

3 authors.

Derek TroianoDepartment of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada. derek.troiano@mail.mcgill.ca.ORCID http://orcid.org/0000-0003-1425-8291
Valérie OrsatDepartment of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada.ORCID http://orcid.org/0000-0002-0416-514X
Marie-Josée DumontDepartment of Bioresource Engineering, McGill University, Ste-Anne-de-Bellevue, QC, H9X 3V9, Canada.ORCID http://orcid.org/0000-0001-9383-5418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of waste stream residues as feedstock for material production simultaneously helps reduce dependence on fossil-based resources and to shift toward a circular economy. This study explores the conversion of food waste into valuable chemicals, namely, bio-pigments. Here, a simulated food waste feedstock was converted into pigments via solid-state fermentation with the filamentous fungus Talaromyces albobiverticillius (NRRL 2120). Pigments including monascorubrin, rubropunctatin, and 7-(2-hydroxyethyl)-monascorubramine were identified as products of the fermentation via ultra-performance liquid chromatography coupled with quadrupole-time-of-flight electrospray ionization mass spectrometry. Pigments were obtained at concentrations of 32.5, 20.9, and 22.4 AU/gram dry substrate for pigments absorbing at 400, 475, and 500 nm, respectively. Pigment production was further enhanced by co-culturing T. albobiverticillius with Trichoderma reesei (NRRL 3652), and ultimately yielded 63.8, 35.6, and 43.6 AU/gds at the same respective wavelengths. This represents the highest reported production of pigments via solid-state fermentation of a non-supplemented waste stream feedstock. KEY POINTS: • Simulated food waste underwent solid-state fermentation via filamentous fungi. • Bio-pigments were obtained from fermentation of the simulated food waste. • Co-culturing multiple fungal species substantially improved pigment production.

Indexed as

FoodRefuse DisposalCoculture TechniquesFermentationFungiBioconversionBiomass valorizationBio-pigmentsFilamentous fungiFood wasteSolid-state fermentation

Identifiers

What OpenQuestion holds

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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.