Optimization of Vector Network Analyzer parameters for Quartz Crystal Microbalance with viscous damping

カテゴリ: 研究会(論文単位)

論文No: BMS19006

グループ名: 【E】センサ・マイクロマシン部門 バイオ・マイクロシステム研究会

発行日: 2019/03/08

タイトル(英語): Optimization of Vector Network Analyzer parameters for Quartz Crystal Microbalance with viscous damping

著者名: Na songkhla Sawit(Tokyo Institute of Technology),Nakamoto Takamichi(Tokyo Institute of Technology)

著者名(英語): Sawit Na songkhla(Tokyo Institute of Technology),Takamichi Nakamoto(Tokyo Institute of Technology)

キーワード: Quartz Crystal Microbalance|Vector Network Analyzer|Odor Sensor|Curve Fitting|Digital Filter|Quartz Crystal Microbalance|Vector Network Analyzer|Odor Sensor|Curve Fitting|Digital Filter

要約(日本語): Quartz Crystal Microbalance(QCM) is well-known as a high-sensitivity mass sensor. The change in acoustic loading on QCM causes admittance change, which can be measured by the Vector Network Analyzer(VNWA). However, its sensitivity is limited by frequency noise. When using QCM with damping media, the level of noise increases owing to the deterioration of the Q factor. The curve fitting technique was used to overcome the high level of noise originating from viscous damping by utilizing all data points from each frequency scan. The scan frequency range, number of datapoints and measurement time per datapoints were optimized to achieve minimum noise. The lowest standard deviation was achieved when number of datapoints and measurement time per datapoint were the largest. Moreover, the higher bandwidth results in a lower standard deviation. However, to keep sampling time within a certain limit, the optimized values of all parameters were chosen.

要約(英語): Quartz Crystal Microbalance(QCM) is well-known as a high-sensitivity mass sensor. The change in acoustic loading on QCM causes admittance change, which can be measured by the Vector Network Analyzer(VNWA). However, its sensitivity is limited by frequency noise. When using QCM with damping media, the level of noise increases owing to the deterioration of the Q factor. The curve fitting technique was used to overcome the high level of noise originating from viscous damping by utilizing all data points from each frequency scan. The scan frequency range, number of datapoints and measurement time per datapoints were optimized to achieve minimum noise. The lowest standard deviation was achieved when number of datapoints and measurement time per datapoint were the largest. Moreover, the higher bandwidth results in a lower standard deviation. However, to keep sampling time within a certain limit, the optimized values of all parameters were chosen.

原稿種別: 英語

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