Noninvasive Transdermal Delivery System of Lidocaine Using an Acoustic Droplet-Vaporization Based Wearable Patch.
Fernando SotoItthipon JeerapanCristian Silva-LópezMiguel Angel Lopez-RamirezIngrid ChaiXiaolong LuJian LvJonas F KurniawanIan MartinKrishnan ChakravarthyJoseph WangPublished in: Small (Weinheim an der Bergstrasse, Germany) (2018)
Current technologies for managing acute and chronic pain have focused on reducing the time required for achieving high therapeutic efficiency. Herein a wearable transdermal patch is introduced, employing an acoustic droplet vaporization (ADV) methodology, as an effective noninvasive transdermal platform, for a fast local delivery of the anesthetic agent lidocaine. The skin-worn patch consists of a flexible drug reservoir containing hundreds of micropores loaded with lidocaine, and mixed with the perfluorocarbon (PFC) emulsion. The ultrasound-triggered vaporization of the PFC emulsion provides the necessary force to breach dermal barriers. The drug release kinetics of our model was investigated by measuring the amount of lidocaine that passed through phantom tissue and pigskin barriers. The ADV platform increases the payload skin penetration resulting in shorter treatment times compared to passive diffusion or ultrasound alone, holding considerable promise for addressing the delayed therapeutic action and slow pain relief of existing delivery protocols. It is envisioned that the integration of ADV-based transdermal devices could be expanded to the depth-dependent delivery of other pain management, vaccines, and gene therapy modalities.
Keyphrases
- pain management
- chronic pain
- drug release
- high throughput
- gene therapy
- wound healing
- drug delivery
- magnetic resonance imaging
- single cell
- heart rate
- liver failure
- respiratory failure
- optical coherence tomography
- emergency department
- drug induced
- machine learning
- intensive care unit
- atomic force microscopy
- computed tomography
- cancer therapy
- replacement therapy
- extracorporeal membrane oxygenation
- adverse drug
- aqueous solution
- deep learning