Evidence map›Paper›PMID 30989015›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

A Bioelectronic Platform Modulates pH in Biologically Relevant Conditions.

Xenofon Strakosas, John Selberg, Xiaolin Zhang, Noah Christie, Peng-Hao Hsu, Adah Almutairi, Marco Rolandi

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  6. A Bioelectronic Platform Modulates pH in Biologically Relevant Conditions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    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

7 authors.

Xenofon StrakosasDepartment of Electrical Engineering University of California Santa Cruz Santa Cruz CA 95064 USA.
John SelbergDepartment of Electrical Engineering University of California Santa Cruz Santa Cruz CA 95064 USA.
Xiaolin ZhangDepartment of Electrical Engineering University of California Santa Cruz Santa Cruz CA 95064 USA.
Noah ChristieDepartment of Electrical Engineering University of California Santa Cruz Santa Cruz CA 95064 USA.
Peng-Hao HsuUCSD Center of Excellence Department of NanoEngineering Jacobs School of Engineering University of California San Diego 9500 Gilman Dr. La Jolla CA 92093 USA.
Adah AlmutairiUCSD Center of Excellence Department of NanoEngineering Jacobs School of Engineering University of California San Diego 9500 Gilman Dr. La Jolla CA 92093 USA.
Marco RolandiDepartment of Electrical Engineering University of California Santa Cruz Santa Cruz CA 95064 USA.ORCID https://orcid.org/0000-0001-7898-2479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectronic devices that modulate pH can affect critical biological processes including enzymatic activity, oxidative phosphorylation, and neuronal excitability. A major challenge in controlling pH is the high buffering capacity of many biological media. To overcome this challenge, devices need to be able to store and deliver a large number of protons on demand. Here, a bioelectronic modulator that controls pH using palladium nanoparticles contacts with high surface area as a proton storage medium is developed. Reversible electronically triggered acidosis (low pH) and alkalosis (high pH) in physiologically relevant buffer conditions are achieved. As a proof of principle, this new platform is used to control the degradation and fluorescence of acid sensitive polymeric microparticles loaded with a pH sensitive fluorescent dye.

Indexed as

bioelectronicspHprotons

Identifiers

PMID30989015
PMCPMC6446605

What OpenQuestion holds

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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.