Evidence map›Paper›PMID 42796613›Full record

ArticleMolecules (Basel, Switzerland)2026

Effect of Microwave Application on the Xylan Extraction Yield from Agri-Waste Corncob for Sustainable Biomass Valorization: A Response Surface Methodology Optimization and Extract Characterization.

Ayse Nur Bulut Gunes, Fatih Bozkurt, Nihan Sagcan, Osman Sagdic

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ayse Nur Bulut GunesDepartment of Gastronomy and Culinary Arts, Faculty of Applied Sciences, Ozyegin University, Çekmekoy, 34794 Istanbul, Türkiye.ORCID 0009-0009-8529-0599
Fatih BozkurtDepartment of Food Engineering, Faculty of Chemistry and Metallurgical Engineering, Yildiz Technical University, Esenler, 34220 Istanbul, Türkiye.ORCID 0000-0003-4905-095X
Nihan SagcanDepartment of Food Technologies, Corlu Vocational School, Tekirdag Namik Kemal University, Corlu, 59860 Tekirdag, Türkiye.ORCID 0000-0002-1175-636X
Osman SagdicDepartment of Food Engineering, Faculty of Chemistry and Metallurgical Engineering, Yildiz Technical University, Esenler, 34220 Istanbul, Türkiye.ORCID 0000-0002-2063-1462

Funding

Yıldız Technical University Project ID: FCD-2021-4573
6 · The paper itself

Abstract

The global demand for sustainable resources highlights agricultural wastes for their valuable biomass content. Xylan, abundant in nature, offers biomedical applications in drug delivery, wound healing, and biodegradable food coatings. This study is the first in the literature to investigate the effect of microwaves on xylan extraction. The aim of this study is to investigate the effect of microwave application and determine the purity of the extraction outcomes in terms of xylan content. The microwave-assisted extractions were performed with two different diluted alkali solutions, potassium hydroxide (KOH) and sodium hydroxide (NaOH), and corncob was the biomass source for xylan. Experiments were designed with response surface methodology (RSM) to find the optimum conditions. Microwave energy demonstrated a statistically significant impact on extraction efficiency and yield (

Indexed as

BiomassMicrowavesXylansZea maysHydroxidesPotassium CompoundsSodium HydroxideSpectroscopy, Fourier Transform InfraredHydroxidesPotassium Compoundspotassium hydroxideSodium HydroxideXylansagri-wastecharacterizationcorncobextraction technologiesmicrowavevalorization of by-productsxylan

Identifiers

PMID42796613
PMCPMC13609404

What OpenQuestion holds

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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.