Evidence map›Paper›PMID 37627998›Full record

ReviewFoods (Basel, Switzerland)2023

Research Progress of Protein-Based Bioactive Substance Nanoparticles.

Mengqing Han, Kunlun Liu, Xin Liu, Muhammad Tayyab Rashid, Huiyan Zhang, Meiyue Wang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Mengqing HanCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Kunlun LiuCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Xin LiuCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Muhammad Tayyab RashidCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Huiyan ZhangZhengzhou Ruipu Biological Engineering Co., Ltd., Zhengzhou 450001, China.
Meiyue WangCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Funding

Innovative Funds Plan of Henan University of Technology 2021ZKCJ03National Natural Science Foundation of China 32172259Natural Science Foundation of Henan Province 212300410033Program for the Top Young Talents of Henan Associate for Science and Technology 2021
6 · The paper itself

Abstract

Bioactive substances exhibit various physiological activities-such as antimicrobial, antioxidant, and anticancer activities-and have great potential for application in food, pharmaceuticals, and nutraceuticals. However, the low solubility, chemical instability, and low bioavailability of bioactive substances limit their application in the food industry. Using nanotechnology to prepare protein nanoparticles to encapsulate and deliver active substances is a promising approach due to the abundance, biocompatibility, and biodegradability of proteins. Common protein-based nanocarriers include nano-emulsions, nano-gels, nanoparticles, and nano complexes. In this review, we give an overview of protein-based nanoparticle fabrication methods, highlighting their pros and cons. Additionally, we discuss the applications and current issues regarding the utilization of protein-based nanoparticles in the food industry. Finally, we provide perspectives on future development directions, with a focus on classifying bioactive substances and their functional properties.

Indexed as

bioactive substancesencapsulationnanoparticlespreparation methodproteins

Identifiers

PMID37627998
PMCPMC10453113

What OpenQuestion holds

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LicenceCC BY
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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.