Evidence map›Paper›PMID 39398137›Full record

ArticleACS omega2024

PVA-Stabilized and Coassembled Nano/Microparticles with High Payload of Dual Phytochemicals for Enhanced Antibacterial and Targeting Effect.

Hua Yang, Yuerui Yang, Jiao Wang, Zhi Dong, Jiali Wang, Yuhua Ma, Peng Zhang, Wenping Wang

Abstract read
In one paragraph

Article in ACS omega, 2024. 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

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

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

8 authors.

Hua YangCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.
Yuerui YangCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.
Jiao WangCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.
Zhi DongCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.
Jiali WangCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.
Yuhua MaKey Laboratory for Tibet Plateau Phytochemistry of Qinghai Province, School of Pharmacy, Qinghai Nationalities University, Xining, Qinghai 810007, China.
Peng ZhangGeneral Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, China.
Wenping WangCollege of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China.ORCID https://orcid.org/0009-0009-6115-3880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The codelivery of multiple bioactive phytochemicals via nano/microparticles (NPs/MPs) represents a promising strategy for enhancing therapeutic efficacy. This study presents the development of novel poly(vinyl alcohol) (PVA)-stabilized hybrid particles designed for codelivery of palmatine hydrochloride (PAL) and glycyrrhizic acid (GL). Employing a straightforward coassembly method, we synthesized dual-drug particles achieving a high payload capacity of over 70%. The particles were characterized as uniform in size, within the nano/micron range, and exhibited a ζ-potential of -5.0 mV. The incorporation of PVA not only stabilized the particles but also refined the aggregation process, resulting in more uniform and finer particles approximately 1 μm in size. Spectral analysis and molecular dynamics simulations verified the presence of π-π stacking and hydrogen bonding between PAL and GL within the particles. In vitro antibacterial assays indicated that the hybrid particles had a lower minimum inhibitory concentration against

Identifiers

PMID39398137
PMCPMC11465548

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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.