A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions

Monolithic quartz crystal microbalance (MQCM) has recently emerged as a very promising technology suitable for biosensing applications. These devices consist of an array of miniaturized QCM sensors integrated within the same quartz substrate capable of detecting multiple target analytes simultaneous...

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Main Authors: Román Fernández, María Calero, Yolanda Jiménez, Antonio Arnau
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/12/4166
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author Román Fernández
María Calero
Yolanda Jiménez
Antonio Arnau
author_facet Román Fernández
María Calero
Yolanda Jiménez
Antonio Arnau
author_sort Román Fernández
collection DOAJ
description Monolithic quartz crystal microbalance (MQCM) has recently emerged as a very promising technology suitable for biosensing applications. These devices consist of an array of miniaturized QCM sensors integrated within the same quartz substrate capable of detecting multiple target analytes simultaneously. Their relevant benefits include high throughput, low cost per sensor unit, low sample/reagent consumption and fast sensing response. Despite the great potential of MQCM, unwanted environmental factors (e.g., temperature, humidity, vibrations, or pressure) and perturbations intrinsic to the sensor setup (e.g., mechanical stress exerted by the measurement cell or electronic noise of the characterization system) can affect sensor stability, masking the signal of interest and degrading the limit of detection (LoD). Here, we present a method based on the discrete wavelet transform (DWT) to improve the stability of the resonance frequency and dissipation signals in real time. The method takes advantage of the similarity among the noise patterns of the resonators integrated in an MQCM device to mitigate disturbing factors that impact on sensor response. Performance of the method is validated by studying the adsorption of proteins (neutravidin and biotinylated albumin) under external controlled factors (temperature and pressure/flow rate) that simulate unwanted disturbances.
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spelling doaj.art-9c594b87099e40bcb88352879a99ff7d2023-11-22T00:35:20ZengMDPI AGSensors1424-82202021-06-012112416610.3390/s21124166A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental ConditionsRomán Fernández0María Calero1Yolanda Jiménez2Antonio Arnau3Advanced Wave Sensors S.L. Paterna, 46988 Valencia, SpainCentro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, SpainCentro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, SpainCentro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, SpainMonolithic quartz crystal microbalance (MQCM) has recently emerged as a very promising technology suitable for biosensing applications. These devices consist of an array of miniaturized QCM sensors integrated within the same quartz substrate capable of detecting multiple target analytes simultaneously. Their relevant benefits include high throughput, low cost per sensor unit, low sample/reagent consumption and fast sensing response. Despite the great potential of MQCM, unwanted environmental factors (e.g., temperature, humidity, vibrations, or pressure) and perturbations intrinsic to the sensor setup (e.g., mechanical stress exerted by the measurement cell or electronic noise of the characterization system) can affect sensor stability, masking the signal of interest and degrading the limit of detection (LoD). Here, we present a method based on the discrete wavelet transform (DWT) to improve the stability of the resonance frequency and dissipation signals in real time. The method takes advantage of the similarity among the noise patterns of the resonators integrated in an MQCM device to mitigate disturbing factors that impact on sensor response. Performance of the method is validated by studying the adsorption of proteins (neutravidin and biotinylated albumin) under external controlled factors (temperature and pressure/flow rate) that simulate unwanted disturbances.https://www.mdpi.com/1424-8220/21/12/4166monolithic quartz crystal microbalancebiosensordiscrete wavelet transform
spellingShingle Román Fernández
María Calero
Yolanda Jiménez
Antonio Arnau
A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
Sensors
monolithic quartz crystal microbalance
biosensor
discrete wavelet transform
title A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
title_full A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
title_fullStr A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
title_full_unstemmed A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
title_short A Real-Time Method for Improving Stability of Monolithic Quartz Crystal Microbalance Operating under Harsh Environmental Conditions
title_sort real time method for improving stability of monolithic quartz crystal microbalance operating under harsh environmental conditions
topic monolithic quartz crystal microbalance
biosensor
discrete wavelet transform
url https://www.mdpi.com/1424-8220/21/12/4166
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