Evidence map›Paper›PMID 36429294›Full record

ArticleFoods (Basel, Switzerland)2022

Upscaling of Apple By-Product by Utilising Apple Seed Protein as a Novel Wall Material for Encapsulation of Chlorogenic Acid as Model Bioactive Compound.

Asir Gani, Zanoor Ul Ashraf, Asima Shah, Azza Silotry Naik, Idrees Ahmed Wani, Adil Gani

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. 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

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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

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

6 authors.

Asir GaniDepartment of Food Science and Technology, University of Kashmir, Srinagar 190006, India.
Zanoor Ul AshrafDepartment of Food Science and Technology, University of Kashmir, Srinagar 190006, India.
Asima ShahDepartment of Food Science and Technology, University of Kashmir, Srinagar 190006, India.
Azza Silotry NaikFood Science and Environmental Health, Technological University Dublin, D07 ADY7 Dublin, Ireland.
Idrees Ahmed WaniDepartment of Food Science and Technology, University of Kashmir, Srinagar 190006, India.
Adil GaniDepartment of Food Science and Technology, University of Kashmir, Srinagar 190006, India.ORCID 0000-0002-3978-5277

Funding

Department of Biotechnology DBT-RA/2021/January/N/860
6 · The paper itself

Abstract

Encapsulation is a versatile technique used to protect sensitive bioactive compounds under gastrointestinal conditions. In this study, nanoencapsulation of chlorogenic acid into the apple seed protein matrix was performed using the green technique ultrasonication to protect it from harsh gastric conditions and increase its biological activity and bioavailability upon digestion. Both nano (Nano-Chl) and native capsules (NT-Chl) were characterised by particle size, charge, structure, and morphology. The encapsulation efficiency, release behaviour, antioxidant and antidiabetic properties were also evaluated. The experimental results show that the particle size of the NT-Chl and Nano-Chl was found in the range of 1.4 µm to 708 nm. The encapsulation efficiency was found to be 69% and 80% for NT-Chl and Nano-Chl, respectively. Furthermore, an in vitro digestion study revealed that Nano-Chl showed controlled-release behaviour under simulated intestinal conditions in comparison to NT-Chl. Moreover, Nano-Chl showed enhanced antioxidant and antidiabetic activity in comparison to NT-Chl after simulated digestion. It was concluded that the protein from apple seeds could be utilised as a functional ingredient itself or as a wall material for the encapsulation of sensitive bioactive compounds. Furthermore, these encapsulated particles can be fortified into different food formulations for the development of functional food.

Indexed as

antidiabeticantioxidantchlorogenic acidnanoencapsulationproteinrelease behaviour

Identifiers

PMID36429294
PMCPMC9689117

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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.