Evidence map›Paper›PMID 33747458›Full record

ArticleFood science & nutrition2021

Establishment of a standardized dietary model for nanoparticles oral exposure studies.

Yan Li, Kun Jiang, Hui Cao, Min Yuan, Tai Ye, Fei Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yan LiSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.ORCID https://orcid.org/0000-0002-2657-5561
Kun JiangSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.
Hui CaoSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.
Min YuanSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.
Tai YeSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.
Fei XuSchool of Medical Instrument and Food Engineering Shanghai Engineering Research Center for Food Rapid Detection University of Shanghai for Science and Technology Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food matrices could affect the physicochemical properties of nanoparticles (NPs) and define the biological effects of NPs via oral exposure compared with the pristine NPs. We established a standardized dietary model based on Chinese dietary reference intakes and Chinese dietary guidelines to mimic the exposure of NPs in real life and to evaluate further the biological effect and toxicity of NPs via oral exposure compared with current models. The standardized dietary model prepared from the primary emulsion was dried into powder using spray drying compared with commercial food powder and then was reconstituted compared with the fresh sample. The average particle size (295.59 nm), potential (-23.78 mV), viscosity (0.04 pa s), and colors (L

Indexed as

food matrixesnanoparticlesstabilitystandardized dietary model

Identifiers

PMID33747458
PMCPMC7958543

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.