An ultrasensitive magnetoelectric sensor system for the quantitative detection of liver iron

Hao Xi, Meng Chien Lu, Xiaoshi Qian, Q. M. Zhang, Sebastian Rupprecht, Qing X. Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Ultrasensitive magnetoelectric (ME) sensors have been developed using magnetostrictive/piezoelectric laminate heterostructures. This paper discusses a highly interdisciplinary design of a room temperature biomagnetic liver susceptometry system (BLS) based on the ME sensors. The ME-sensor based BLS maintains the ultrahigh sensitivity to detect the weak AC biomagnetic signals and introduces a low equivalent magnetic noise. The results reveal a 'turning point' and successfully indicate the output signals to be linearly responsive to iron concentrations from normal iron level (0.05 mgFe/gliver phantom) to 5 mgFe/gliver phantom iron overload level (100X overdose). Further, the introduction of the water-bag technique shows the promise on the automatic deduction of the background (tissue) signal, enabling an even higher sensitivity and better signal-to-noise (SNR). With these improvements, it becomes feasible to get improved characterization flexibility and the field distribution mapping potential via signal processing from the correlations of multiple sensors in the system. Considering the wide presence of biomagnetic signals in human organs, the potential impact of such biomagnetic devices on medicine and health care could be enormous and far-reaching.

Original languageEnglish (US)
Title of host publicationIEEE Sensors, SENSORS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982875
StatePublished - Jan 5 2016
Event15th IEEE Sensors Conference, SENSORS 2016 - Orlando, United States
Duration: Oct 30 2016Nov 2 2016

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


Other15th IEEE Sensors Conference, SENSORS 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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