Evidence map›Paper›PMID 39269645›Full record

ArticleApplied microbiology and biotechnology2024

Water retting process with hemp pre-treatment: effect on the enzymatic activities and microbial populations dynamic.

Valeria Ventorino, Fatima Ezzahra Chouyia, Ida Romano, Mauro Mori, Olimpia Pepe

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Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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

5 authors.

Valeria Ventorino *Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy. valeria.ventorino@unina.it.ORCID http://orcid.org/0000-0003-3687-0318
Fatima Ezzahra Chouyia *Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy.
Ida RomanoDepartment of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy.
Mauro MoriDepartment of Agricultural Sciences, Division of Plant Biology and Crop Science, University of Naples Federico II, Naples, Italy.
Olimpia PepeDepartment of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proper retting process of hemp stems, in which efficient separation of cellulose fiber from the rest of the stem is promoted by indigenous microorganisms able to degrade pectin, is essential for fiber production and quality. This research aimed to investigate the effect of a pre-treatment dew retting in field of hemp stalks on the pectinolytic enzymatic activity and microbiota dynamic during lab-scale water retting process. A strong increase in the pectinase activity as well as in the aerobic and anaerobic pectinolytic concentration was observed from 14 to 21 days, especially using hemp stalks that were not subjected to a pre-retting treatment on field (WRF0 0.690 ± 0.05 U/mL). Results revealed that the microbial diversity significantly varied over time during the water retting and the development of microbiota characterizing the water retting of hemp stalks of different biosystems used in this study was affected by pre-treatment conditions in the field and water retting process and by an interaction between the two methods. Although at the beginning of the experiment a high biodiversity was recorded in all biosystems, the water retting led to a selection of microbial populations in function of the time of pre-treatment in field, especially in bacterial populations. The use of hemp stems did not subject to a field pre-treatment seems to help the development of a homogeneous and specific pectinolytic microbiota with a higher enzymatic activity in respect to samples exposed to uncontrolled environmental conditions for 10, 20, or 30 days before the water retting process. KEY POINTS: • Microbial diversity significantly varied over time during water retting. • Water retting microbiota was affected by dew pre-treatment in the field. • Retting of no pretreated hemp allows the development of specific microbiota with high enzymatic activity.

Indexed as

BacteriaCannabisPlant StemsWaterBiodiversityCelluloseMicrobiotaPectinsPolygalacturonaseCellulosePectinsPolygalacturonaseWaterBacteriaCannabis sativa L.FungiMicrobiotaPectate lyasePectinolytics

Identifiers

PMID39269645
PMCPMC11399178

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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.