Automated surface-scanning detection of pathogenic bacteria on fresh produce

Shin Horikawa; Songtao Du; Yuzhe Liu; I-Hsuan Chen; Jianguo Xi; Michael S. Crumpler; Donald L. Sirois; Steve R. Best; Howard C. Wikle; Bryan A. Chin

doi:10.1117/12.2262041

1 May 2017 Automated surface-scanning detection of pathogenic bacteria on fresh produce

Shin Horikawa, Songtao Du, Yuzhe Liu, I-Hsuan Chen, Jianguo Xi, Michael S. Crumpler, Donald L. Sirois, Steve R. Best, Howard C. Wikle, Bryan A. Chin

Author Affiliations +

Proceedings Volume 10217, Sensing for Agriculture and Food Quality and Safety IX; 1021704 (2017) https://doi.org/10.1117/12.2262041
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

This paper investigates the effects of surface-scanning detector position on the resonant frequency and signal amplitude of a wireless magnetoelastic (ME) biosensor for direct pathogen detection on solid surfaces. The experiments were conducted on the surface of a flat polyethylene (PE) plate as a model study. An ME biosensor (1 mm × 0.2 mm × 30 μm) was placed on the PE surface, and a surface-scanning detector was brought close and aligned to the sensor for wireless resonant frequency measurement. The position of the detector was accurately controlled by using a motorized three-axis translation system (i.e., controlled X, Y, and Z positions). The results showed that the resonant frequency variations of the sensor were -125 to +150 Hz for X and Y detector displacements of ±600 μm and Z displacements of +100 to +500 μm. These resonant frequency variations were small compared to the sensor's initial resonant frequency (< 0.007% of 2.2 MHz initial resonant frequency) measured at the detector home position, indicating high accuracy of the measurement. In addition, the signal amplitude was, as anticipated, found to decrease exponentially with increasing detection distance (i.e., Z distance). Finally, additional experiments were conducted on the surface of cucumbers. Similar results were obtained.

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Shin Horikawa, Songtao Du, Yuzhe Liu, I-Hsuan Chen, Jianguo Xi, Michael S. Crumpler, Donald L. Sirois, Steve R. Best, Howard C. Wikle, and Bryan A. Chin "Automated surface-scanning detection of pathogenic bacteria on fresh produce", Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021704 (1 May 2017); https://doi.org/10.1117/12.2262041

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