Evidence map›Paper›PMID 38386143›Full record

ArticleApplied biochemistry and biotechnology2024

Optimal Enzyme-Assisted Extraction of Phenolics from Leaves of Pongamia pinnata via Response Surface Methodology and Artificial Neural Networking.

Tariq Aziz, Rahman Qadir, Farooq Anwar, Sumaira Naz, Nausheen Nazir, Ghulam Nabi, Cui Haiying, Lin Lin, Metab Alharbi, Abdullah F Alasmari

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Article in Applied biochemistry and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  7. Antiangiogenic potential ofOpen medicine (Warsaw, Poland) · 2025
    Article
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

10 authors.

Tariq AzizSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China. iwockd@gmail.com.ORCID http://orcid.org/0000-0003-0905-8076
Rahman QadirInstitute of Chemistry, University of Sargodha, Sargodha, 40100, Pakistan.
Farooq AnwarInstitute of Chemistry, University of Sargodha, Sargodha, 40100, Pakistan.
Sumaira NazDepartment of Biochemistry, University of Malakand, Chakdara, 18800, Pakistan.
Nausheen NazirDepartment of Biochemistry, University of Malakand, Chakdara, 18800, Pakistan.
Ghulam NabiInstitute of Nature Conservation, Polish Academy of Sciences, Krakow 31-120, Poland.
Cui HaiyingSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China.
Lin LinSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China. linl@ujs.edu.cn.
Metab AlharbiDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Abdullah F AlasmariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.

Funding

Jiangsu Province Research Fund JNHB-131Jiangsu University Research Fund 11JDG050Natural Science Foundation of Jiangsu Province BK20201417
6 · The paper itself

Abstract

This research work seeks to evaluate the impact of selected enzyme complexes on the optimised release of phenolics from leaves of Pongamia pinnata. After preliminary solvent extraction, the P. pinnata leaf extract was subjected to enzymatic treatment, using enzyme cocktails such as kemzyme dry-plus, natuzyme, and zympex-014. It was noticed that zympex-014 had a greater extract yield (28.0%) than kemzyme dry-plus (17.0%) and natuzyme (18.0%). Based on the better outcomes, zympex-014-based extract values were subsequently applied to several RSM parameters. The selected model is suggested to be significant by the F value (12.50) and R

Indexed as

MillettiaNeural Networks, ComputerPhenolsPlant LeavesAntioxidantsFlavonoidsPlant ExtractsAntioxidantsFlavonoidsPhenolsPlant ExtractsAntioxidant potentialEnzymatic treatmentGC-MSPhenolicsPongamia pinnata

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.