Evidence map›Paper›PMID 42859219›Full record

ArticleArchives of microbiology2026

Bacterial-assisted optimization of hydrolytic enzyme production from grape (vitis vinifera) pomace by solid-state fermentation.

Md Zakir Hassan, Muhammad Younus, Elena G Kovaleva

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Article in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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5 · Who and what money

Authors and funding

3 authors.

Md Zakir HassanLaboratory of Biotransformation Technologies and Food Chemistry, Research, Educational and Innovation Center of Chemical and Pharmaceutical Technologies, Institute of Chemical Technology, Ural Federal University, Ekaterinburg, Russia. zhtitas@gmail.com.ORCID https://orcid.org/0000-0003-4938-4845
Muhammad YounusLaboratory of Biotransformation Technologies and Food Chemistry, Research, Educational and Innovation Center of Chemical and Pharmaceutical Technologies, Institute of Chemical Technology, Ural Federal University, Ekaterinburg, Russia.
Elena G KovalevaLaboratory of Biotransformation Technologies and Food Chemistry, Research, Educational and Innovation Center of Chemical and Pharmaceutical Technologies, Institute of Chemical Technology, Ural Federal University, Ekaterinburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The valorization of agro-industrial waste through solid-state fermentation (SSF) provides a sustainable strategy for waste conversion and enzyme production. This study aimed to optimize the concomitant production of a hydrolytic enzyme cocktail (pectinase, xylanase and amylase) by Bacillus subtilis 5140 (VKPM: B-1326) using red grape pomace as the sole substrate under SSF conditions. A, D-optimal response surface methodology (RSM) with a quadratic model was used to evaluate and optimize four process parameters: temperature (36-40 °C), pH (6-8), moisture content (60-70%), and incubation time (48-120 h), with the three enzyme activities considered jointly as responses. The statistical analysis showed that the quadratic model was significant for pectinase (R² = 0.9651) and xylanase (R² = 0.9784), whereas a two-factor interaction (2FI) model provided the best fit for amylase production (R² = 0.9659). The RSM optimization identified approximately 39 °C, pH 6.35, 65% moisture, and 57 h as the conditions for concomitant efficient enzyme production. Under these conditions, the model predicted activities of 402.82 U/g dry substrate (DS) for pectinase, 301.53 U/g DS for xylanase, and 112.43 U/g DS for amylase. The results indicate that D-optimal RSM could be used to identify similar fermentation conditions for simultaneous production of the three hydrolytic enzymes from grape pomace by SSF.

Indexed as

AmylasesBacillus subtilisEndo-1,4-beta XylanasesPolygalacturonaseVitisFermentationHydrogen-Ion ConcentrationHydrolysisTemperatureAmylasesEndo-1,4-beta XylanasesPolygalacturonaseAmylaseBacillus subtilis 5140 (VKPM: B-1326)EnzymeGrape pomaceOptimizationPectinaseRSMSolid-state fermentationXylanase

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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.