Evidence map›Paper›PMID 42000603›Full record

ArticleUltrasonics sonochemistry2026

Enzymes-assisted green ultrasonic extraction with UPLC-DAD quantification of phenolic compounds in chia seeds with a comparative evaluation based on geographical origins.

Rizwan Ahmad, Aljawharah Alqathama, Mohammed Aldholmi, Mohammad Alkawi, Faisal Alnaeem, Majed Khan, Mutaz Algarzai, Mohd Amir, Muhammad Riaz

Abstract readComparative Study
In one paragraph

Article in Ultrasonics sonochemistry, 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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0citing papers in PubMed
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1 · What the graph read from it

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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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Rizwan AhmadDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Aljawharah AlqathamaDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Kingdom of Saudi Arabia. Electronic address: aaqathama@uqu.edu.sa.
Mohammed AldholmiDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Mohammad AlkawiDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Faisal AlnaeemDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Majed KhanDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Mutaz AlgarzaiDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Mohd AmirDepartment of Natural Products, College of Pharmacy, Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia.
Muhammad RiazDepartment of Pharmacy, Shaheed Benazir Bhutto University Sheringal, Dir, Upper Khyber Pakhtun Khwa, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to enhance the recovery of chia phenolic using a green ultrasound extraction (UA) with different individual and mixed-enzymes models followed by a simultaneous determination of the phenolic [chlorogenic acid (cGA), rosmarinic acid (RA), ferulic acid (FA), quercetin (QT), kaempferol (KF)] using an in-house developed UPLC-DAD method across eleven different geographical origins. METHODOLOGY: Green solvents of acetone (ACT), ethanol (EtOH), and water (H

resultsThe optimal solvent (UA-MD) with highest phenolic recovery (168.41 ppm) was ACT: H

conclusionAn effective green UA-based enzymes assisted model was developed with an enhanced release for chia phenolic.

Indexed as

Chemical FractionationEnzymesGreen Chemistry TechnologyPhenolsSalvia hispanicaSeedsUltrasonic WavesChromatography, High Pressure LiquidSolventsEnzymesPhenolsSolventsChia seedsEnzymes modelsGreen-ultrasound extractionPhenolicUPLC-DAD

Identifiers

PMID42000603
PMCPMC13101769

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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.