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基于兰姆波传感器的多参数解耦方法,提高无标记液体检测的选择性。

A multi-parameter decoupling method with a Lamb wave sensor for improving the selectivity of label-free liquid detection.

机构信息

Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.

出版信息

Sensors (Basel). 2012;12(8):10369-80. doi: 10.3390/s120810369. Epub 2012 Jul 31.

DOI:10.3390/s120810369
PMID:23112604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3472832/
Abstract

In this paper, a liquid multi-parameter decoupling method with only one Lamb wave sensor is presented. In a Lamb wave sensor, antisymmetric modes (A(01) mode for low frequency, A(03) mode for high frequency) and symmetric modes (S(0) mode) are used to detect multiple parameters of a liquid, such as its density, sound velocity, and viscosity. We found they can play very different roles in the detections. For example, the A(01) mode is very sensitive to the liquid's density but the A(03) mode is sensitive to the sound velocity. Here, the A(0) mode is used to identify the density of the detected liquid and with this density value we obtained the viscosity by the amplitude shifts of the S(0) mode. This could be a way to distinguish an unknown liquid with high sensitivity or to solve the problem of selectivity of label-free detection on biosensors.

摘要

本文提出了一种仅使用一个兰姆波传感器的液体多参数解耦方法。在兰姆波传感器中,使用反对称模式(低频的 A(01)模式,高频的 A(03)模式)和对称模式(S(0)模式)来检测液体的多个参数,如密度、声速和粘度。我们发现它们在检测中可以发挥非常不同的作用。例如,A(01)模式对液体的密度非常敏感,而 A(03)模式对声速敏感。在这里,A(0)模式用于识别被检测液体的密度,并且根据这个密度值,我们通过 S(0)模式的幅度变化获得了粘度。这可能是一种高灵敏度地识别未知液体的方法,或者解决生物传感器上无标记检测的选择性问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/71827ad16c7f/sensors-12-10369f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/cc26c85ab18e/sensors-12-10369f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/c32ef4e915e1/sensors-12-10369f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/b0f9030bd6fa/sensors-12-10369f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/074d26f53aea/sensors-12-10369f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/7a197efcf9b4/sensors-12-10369f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/71827ad16c7f/sensors-12-10369f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/cc26c85ab18e/sensors-12-10369f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/c32ef4e915e1/sensors-12-10369f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/b0f9030bd6fa/sensors-12-10369f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/074d26f53aea/sensors-12-10369f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/7a197efcf9b4/sensors-12-10369f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/3472832/71827ad16c7f/sensors-12-10369f6.jpg

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