ArticleACS omega2025
Ultrasound-Assisted Alkaline Hydrogen Peroxide Pretreatment for Biopolymer Recovery from Exhausted Purple Corn Cobs.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Enhanced Glucose Recovery from Reed Straw (Polymers · 2026Article
- An Aqueous Fungal-Enzymatic Strategy for the Surface Engineering of Bamboo toward Sustainable High-Performance Biocomposites.ACS sustainable chemistry & engineering · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the fractionation of exhausted purple corn cobs (EPCC) (a lignocellulosic byproduct remaining after bioactive compound extraction) through alkaline hydrogen peroxide (AHP) pretreatment, with and without ultrasonic assistance. Initial biomass characterization revealed a composition of 33.08% cellulose, 21.19% hemicellulose, and only 2.69% lignin, confirming its suitability as a biopolymer source. AHP pretreatment was performed under mild conditions (10% H
Identifiers
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Registered trials
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.