ArticleBioresources and bioprocessing2021
Biocompatible natural deep eutectic solvent-based extraction and cellulolytic enzyme-mediated transformation of Pueraria mirifica isoflavones: a sustainable approach for increasing health-bioactive constituents.
Article in Bioresources and bioprocessing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
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.
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
8 citing papers in PubMed, 17 citations in OpenAlex.
- Recent Advances in the Use of Natural Deep Eutectic Solvents for Natural Product Sample Preparation: Focus on Purification, Characterization, and Sustainability.Journal of separation science · 2026Review
- Enzyme-Assisted Extraction of Bioactive Compounds fromPlants (Basel, Switzerland) · 2026Article
- Puerarin-A Promising Flavonoid: Biosynthesis, Extraction Methods, Analytical Techniques, and Biological Effects.International journal of molecular sciences · 2024Review
- Laccase-catalyzed lignin depolymerization in deep eutectic solvents: challenges and prospects.Bioresources and bioprocessing · 2023Review
- High-Value Bioconversion of Ginseng Extracts in Betaine-Based Deep Eutectic Solvents for the Preparation of Deglycosylated Ginsenosides.Foods (Basel, Switzerland) · 2023Article
- Natural Deep Eutectic Solvents in the Synthesis of Inorganic Nanoparticles.Materials (Basel, Switzerland) · 2023Review
- Article
- Correction to: Biocompatible natural deep eutectic solvent‑based extraction and cellulolytic enzyme‑mediated transformation of Pueraria mirifica isoflavones: a sustainable approach for increasing health‑bioactive constituents.Bioresources and bioprocessing · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
The presence of specific gut microflora limits the biotransformation of Pueraria mirifica isoflavone (PMI) glycosides into absorbable aglycones, thus limiting their health benefits. Cellulolytic enzyme-assisted extraction (CAE) potentially solves this issue; however, solvent extraction requires recovery of the hydrophobic products. Here, we established the simultaneous transformation and extraction of PMIs using cellulolytic enzymes and natural deep eutectic solvents (NADESs). The NADES compositions were optimized to allow the use of NADESs as CAE media, and the extraction parameters were optimized using response surface methodology (RSM). The optimal conditions were 14.7% (v/v) choline chloride:propylene glycol (1:2 mol ratio, ChCl:PG) at 56.1 °C for the cellulolytic enzyme (262 mU/mL) reaction in which daidzin and genistin were extracted and wholly transformed to their aglycones daidzein and genistein. The extraction of PMIs using ChCl:PG is more efficient than that using conventional solvents; additionally, biocompatible ChCl:PG enhances cellulolytic enzyme activity, catalyzing the transformation of PMIs into compounds with higher estrogenicity and absorbability.
Indexed as
Identifiers
What OpenQuestion holds
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.