Functional Characterization and Correction of Biofouling in Multi-Receptor Biosensors

Weizhi Lin, Cesar Ruiz, Matan Aroosh, Hadar Ben-Yoav, Qiang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Electrochemical biosensors promise real-time, high-quality monitoring of target compound levels in biofluid samples at the point-of-care. Each biosensor consists of a chip with multiple electrodes with different coatings to monitor several compounds simultaneously. However, the sensitivity and selectivity of biosensors decrease dramatically after each usage due to biofouling, a phenomenon caused by chemicals adhering to electrode surfaces. To improve detection accuracy and biosensor lifetime, we propose to characterize biofouling effects and correct fouled signals. However, analyzing biosensing signals is challenging due to the inherent patient-to-patient variability, complex electrode-to-electrode correlation, and limited knowledge of the underlying electrochemical processes. To overcome these difficulties under a repeated measurements setting, we characterize the signals for each patient as a functional mixed model whose coefficients are utilized as features that represent patient and electrode information. Therefore, changes between consecutive measurements can be detected by monitoring extracted features. We propose a series of nonparametric methods to predict and correct the biofouling-induced feature changes based on the feature similarity among patients. A case study illustrates the capability of the proposed method to predict and adjust fouled signals for new patients. The results suggest that the signal correction improves the detection accuracy of fouled biosensors.

Original languageEnglish
Title of host publicationIISE Annual Conference and Expo 2022
EditorsK. Ellis, W. Ferrell, J. Knapp
PublisherInstitute of Industrial and Systems Engineers, IISE
ISBN (Electronic)9781713858072
StatePublished - 1 Jan 2022
EventIISE Annual Conference and Expo 2022 - Seattle, United States
Duration: 21 May 202224 May 2022

Publication series

NameIISE Annual Conference and Expo 2022


ConferenceIISE Annual Conference and Expo 2022
Country/TerritoryUnited States


  • Electrochemical biosensors
  • biofouling effect
  • functional mix-effect model
  • signal correction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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