Wang Yinli, Shi Yu, Narita Fumio
Department of Materials Processing, Graduate School of Engineering, Tohoku University, Aoba-yama 6-6-02, Sendai, Japan.
Department of Mechanical Engineering, University of Chester, Thornton Science Park, Pool Lane, Chester, CH2 4NU, UK.
Sens Actuators A Phys. 2021 Aug 15;327:112742. doi: 10.1016/j.sna.2021.112742. Epub 2021 Apr 7.
Undoubtedly, the coronavirus disease 2019 (COVID-19) has received the greatest concern with a global impact, and this situation will continue for a long period of time. Looking back in history, airborne transimission diseases have caused huge casualties several times. COVID-19 as a typical airborne disease caught our attention and reminded us of the importance of preventing such diseases. Therefore, this study focuses on finding a new way to guard against the spread of these diseases such as COVID-19. This paper studies the dynamic electromechanical response of metal-core piezoelectric fiber/epoxy matrix composites, designed as mass load sensors for virus detection, by numerical modelling. The dynamic electromechanical response is simulated by applying an alternating current (AC) electric field to make the composite vibrate. Furthermore, both concentrated and distributed loads are considered to assess the sensitivity of the biosensor during modelling of the combination of both biomarker and viruses. The design parameters of this sensor, such as the resonant frequency, the position and size of the biomarker, will be studied and optimized as the key values to determine the sensitivity of detection. The novelty of this work is to propose functional composites that can detect the viruses from changes of the output voltage instead of the resonant frequency change using piezoelectric sensor and piezoelectric actuator. The contribution of this detection method will significantly shorten the detection time as it avoids fast Fourier transform (FFT) or discrete Fourier transform (DFT). The outcome of this research offers a reliable numerical model to optimize the design of the proposed biosensor for virus detection, which will contribute to the production of high-performance piezoelectric biosensors in the future.
毫无疑问，2019年冠状病毒病（COVID-19）受到了全球最广泛的关注，这种情况将持续很长一段时间。回顾历史，空气传播疾病曾多次造成巨大伤亡。COVID-19作为一种典型的空气传播疾病引起了我们的关注，并提醒我们预防此类疾病的重要性。因此，本研究致力于寻找一种新方法来防范COVID-19等此类疾病的传播。本文通过数值模拟研究了金属芯压电纤维/环氧树脂基复合材料的动态机电响应，该复合材料被设计为用于病毒检测的质量负载传感器。通过施加交流（AC）电场使复合材料振动来模拟动态机电响应。此外，在对生物标志物和病毒组合进行建模时，考虑了集中载荷和分布载荷以评估生物传感器的灵敏度。该传感器的设计参数，如共振频率、生物标志物的位置和大小，将作为确定检测灵敏度的关键值进行研究和优化。这项工作的新颖之处在于提出了功能性复合材料，其能够利用压电传感器和压电致动器，通过输出电压的变化而非共振频率的变化来检测病毒。这种检测方法的贡献在于，由于避免了快速傅里叶变换（FFT）或离散傅里叶变换（DFT），将显著缩短检测时间。本研究结果提供了一个可靠的数值模型，用于优化所提出的用于病毒检测的生物传感器的设计，这将有助于未来高性能压电生物传感器的生产。
