Cited by 0Neuroscience and Neural EngineeringSilk-based biomaterials and applicationsAdvanced Sensor and Energy Harvesting Materials

A multi-functional intracranial silk-based electronic interface with integrated temperature and pressure sensor

Open access
Tao, Chen, Yang, Huiran, Zhu, Ziyi, Ni, Siyuan, Jiang, Jianbo, Jiang, Wanqi, Zhou, Zhitao, Sun, Liuyang +3 more·2024·Journal of Physics: Conference Series

Abstract

The acquisition of multiple brain activity signals, including electrophysiological signals, intracranial pressure (ICP), and intracranial temperature (ICT), is crucial for neuroscience research and the clinical treatment of brain disorders. Additionally, bioelectronic devices intended for in vivo operation require high standards of material safety. In this work, we report a multifunctional monolithic bioelectronic device based on oriented crystallization silk fibroin. The pre-stretched and fixed silk fibroin material exhibits remarkable in vivo stability enhancements. Using Micro Electromechanical System (MEMS) technology, units for the electrophysiological signal, ICP, and ICT collection are efficiently integrated into silk fibroin substrate. This integration is further complemented by an efficient backend connection to construct a system capable of multiple signal acquisitions. Through efficient connection, this multifunctional signal acquisition system can be used for simultaneous neural signal recording and miniaturized high-precision measurements of ICP (pressure coefficient of 48.5 Ω/kPa) and ICT (temperature coefficient of 0.39%). After implantation into the mouse cranium, the device is capable of efficiently synchronizing the acquisition of intracranial electrophysiological signals, intracranial pressure (ICP), and intracranial temperature (ICT) within two days. This class of bioelectronic devices based on silk fibroin effectively expands the efficient application of silk fibroin-based biomaterials.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1088/1742-6596/2809/1/012001

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 13

Authors
Tao, C., Yang, H., Zhu, Z., Ni, S., Jiang, J., Jiang, W., Zhou, Z., Sun, L., Liu, K., Tao, T. H., & Wei, X.
Affiliations
Chinese Academy of Sciences (CN)
Venue
Journal of Physics: Conference Series
Published
2024-08-01
Volume
2809
Issue
1
Pages
012001
ISSN
  • 1742-6588 (ISSN-L)
  • 1742-6596
OpenAlex
W4401547086
Cited by
0
References
13
FWCI
0.00
Type
conference paper
Language
en
Open access
Locations
Journal of Physics Conference Series (publishedVersion, cc-by)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Materials Science › Biomaterials › Silk-based biomaterials and applications
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
silk fibroin, neural recording, bioelectronic devices, MEMS sensors, oriented crystallization, in vivo implantation, multi-sensor integration, biocompatibility

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review