The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Self‐Powered Intracellular Drug Delivery by a Biomechanical Energy‐Driven Triboelectric Nanogenerator
Abstract
Nondestructive, high‐efficiency, and on‐demand intracellular drug/biomacromolecule delivery for therapeutic purposes remains a great challenge. Herein, a biomechanical‐energy‐powered triboelectric nanogenerator (TENG)‐driven electroporation system is developed for intracellular drug delivery with high efficiency and minimal cell damage in vitro and in vivo. In the integrated system, a self‐powered TENG as a stable voltage pulse source triggers the increase of plasma membrane potential and membrane permeability. Cooperatively, the silicon nanoneedle‐array electrode minimizes cellular damage during electroporation via enhancing the localized electrical field at the nanoneedle–cell interface and also decreases plasma membrane fluidity for the enhancement of molecular influx. The integrated system achieves efficient delivery of exogenous materials (small molecules, macromolecules, and siRNA) into different types of cells, including hard‐to‐transfect primary cells, with delivery efficiency up to 90% and cell viability over 94%. Through simple finger friction or hand slapping of the wearable TENGs, it successfully realizes a transdermal biomolecule delivery with an over threefold depth enhancement in mice. This integrated and self‐powered system for active electroporation drug delivery shows great prospect for self‐tuning drug delivery and wearable medicine.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Triboelectric nanogenerators for sensitive nano-coulomb molecular mass spectrometry
Li, A., Zi, Y., Guo, H., Wang, Z. L., & Fernández, F. M. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.17 · Cited by 324
Self-citationSelf‐Powered Water Splitting Using Flowing Kinetic Energy
Tang, W., Han, Y., Han, C. B., Gao, C. Z., Cao, X., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201404071 · Cited by 223
Self-citation
Cited by
Choi, D., Lee, Y., Lin, Z.-H., Cho, S., Kim, M., Ao, C. K., Soh, S., Sohn, C., Jeong, C. K., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12458 · Cited by 656
Self-citationProbing Contact‐Electrification‐Induced Electron and Ion Transfers at a Liquid–Solid Interface
Nie, J., Ren, Z., Xu, L., Lin, S., Zhan, F., Chen, X., & Wang, Z. L. (2020) · Advanced Materials · doi:10.1002/adma.201905696 · Cited by 593
Self-citationLiu, Z., Wan, X., Wang, Z. L., & Li, L. (2021) · Advanced Materials · doi:10.1002/adma.202007429 · Cited by 478
Self-citationLiang, X., Jiang, T., Liu, G., Feng, Y., Zhang, C., & Wang, Z. L. (2020) · Energy & Environmental Science · doi:10.1039/c9ee03258d · Cited by 398
Self-citationChen, P., An, J., Shu, S., Cheng, R., Nie, J., Jiang, T., & Wang, Z. L. (2021) · Advanced Energy Materials · doi:10.1002/aenm.202003066 · Cited by 339
Self-citation
Metadata
- Authors
- Liu, Z., Nie, J., Miao, B., Li, J., Cui, Y., Wang, S., Zhang, X., Zhao, G., Deng, Y., Wu, Y., Li, Z., Li, L., & Wang, Z. L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-02-05
- Volume
- 31
- Issue
- 12
- Pages
- e1807795-e1807795
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2913570441
- Cited by
- 231
- References
- 2
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Self‐Powered Intracellular Drug Delivery by a Biomechanical Energy‐Driven Triboelectric Nanogenerator. https://app.cochat.ai/papers/10.1002/adma.201807795
- The paper
- Liu, Z., Nie, J., Miao, B., Li, J., Cui, Y., Wang, S., Zhang, X., Zhao, G., Deng, Y., Wu, Y., Li, Z., Li, L., & Wang, Z. L. (2019). Self‐Powered Intracellular Drug Delivery by a Biomechanical Energy‐Driven Triboelectric Nanogenerator. Advanced Materials. https://doi.org/10.1002/adma.201807795
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
