Posted in | News | MEMS - NEMS | Nanomedicine

Silicon-Based Micro-Pump for Smart Drug Delivery Fabricated Using MEMS Standard Process

Eveon and CEA-Leti today announced the demonstration of liquid-pumping for smart drug delivery in the bolus mode using a silicon-based micro-pump fabricated with a standard MEMS process.

The milestone is the first functional micro-pump integration using MEMS standard process on Leti’s 200mm line. It is a result of FluMin3, Eveon and Leti’s three-year joint-development project to produce an automatic drug-delivery system integrating a MEMS micro-pump that reduces patient discomfort by delivering medicine with very high accuracy, minimal loss and high flow rates.

FluMin3 is a major R&D program supported by the Rhone-Alpes competitive cluster MINALOGIC in collaboration with CEDRAT TECHNOLOGIES and IMEP-LAHC, the Institute of Microelectronics Electromagnetism and Photonics, and Microwave and Characterization Laboratory.

The micro-pump is based on core technology initiated by Eveon and IMEP-LAHC. The pump demonstrator is made from silicon wafers, which include a thin deformable membrane sealed over a fluidic cavity and fluidic valves determining inlet and outlet. A dedicated electromagnetic actuator developed by CEDRAT TECHNOLOGIES shapes the membrane.

First fluidic characterization of this device showed very promising pumping results with typical water-flow rates of 12 ml/min without any counter-pressure, and up to six ml/min under 1 bar counter-pressure. These results surpass the performance of state-of-the-art commercial micro-pumps whose typical water-flow rate capacity today is six ml/min without any counter-pressure and two ml/min under 0.5 bar counter-pressure.

These encouraging results already match bolus-mode injection requirements. In addition, new designs under development by Eveon and Leti are expected to improve fluidic performances. At the same time, MEMS flow sensors designed to be finally integrated in the micro-pump have been fabricated and used to achieve an accurate liquid dosing using micro-diaphragm pumps with a dosing error below 5 percent for different counter-pressures.

Eveon, which coordinated this project, and Leti are continuing their work to stabilize relevant MEMS processes before industrialization and to integrate MEMS sensors inside the micro-pump to demonstrate an automatically controlled smart drug-delivery device.

More technical detailed concerning the architecture, the process of fabrication and performances of this new micro-pump should be published and presented in coming conferences.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    CEA-Leti. (2019, February 11). Silicon-Based Micro-Pump for Smart Drug Delivery Fabricated Using MEMS Standard Process. AZoNano. Retrieved on November 21, 2024 from https://www.azonano.com/news.aspx?newsID=29635.

  • MLA

    CEA-Leti. "Silicon-Based Micro-Pump for Smart Drug Delivery Fabricated Using MEMS Standard Process". AZoNano. 21 November 2024. <https://www.azonano.com/news.aspx?newsID=29635>.

  • Chicago

    CEA-Leti. "Silicon-Based Micro-Pump for Smart Drug Delivery Fabricated Using MEMS Standard Process". AZoNano. https://www.azonano.com/news.aspx?newsID=29635. (accessed November 21, 2024).

  • Harvard

    CEA-Leti. 2019. Silicon-Based Micro-Pump for Smart Drug Delivery Fabricated Using MEMS Standard Process. AZoNano, viewed 21 November 2024, https://www.azonano.com/news.aspx?newsID=29635.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.