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Fundamental Monomeric Biomaterial Diagnostics by Radio-frequency Signal Analysis

Authors
 Jae-hoon Ji  ;  Kyeong-sik Shin  ;  Shinill Kang  ;  Soo Hyun Lee  ;  Ji Yoon Kang  ;  Sinyoung Kim  ;  Seong Chan Jun 
Citation
 BIOSENSORS & BIOELECTRONICS, Vol.82 : 255-261, 2016 
Journal Title
BIOSENSORS & BIOELECTRONICS
ISSN
 0956-5663 
Issue Date
2016
Abstract
We present a new diagnostic technique of fundamental monomeric biomaterials that do not rely on any enzyme or chemical reaction. Instead, it only uses radio frequency (RF) signal analysis. The detection and classification of basic biomaterials, such as glucose and albumin, were demonstrated. The device was designed to generate a strong resonance response with glucose solution and fabricated by simple photolithography with PDMS (Polydimethylsiloxane) well. It even was used to detect the level of glucose in mixtures of glucose and albumin and in human serum, and it operated properly and identified the glucose concentration precisely. It has a detection limit about 100μM (1.8mg/dl), and a sensitivity about 58MHz per 1mM of glucose and exhibited a good linearity in human blood glucose level. In addition, the intrinsic electrical properties of biomaterials can be investigated by a de-embedding technique and an equivalent circuit analysis. The capacitance of glucose containing samples exhibited bell-shaped Gaussian dispersion spectra around 2.4GHz. The Albumin solution did not represent a clear dispersion spectra compared to glucose, and the magnitude of resistance and inductance of albumin was higher than that of other samples. Other parameters also represented distinguishable patterns to classify those biomaterials. It leads us to expect future usage of our technique as a pattern-recognizing biosensor.
Full Text
https://www.sciencedirect.com/science/article/pii/S0956566316302068
DOI
10.1016/j.bios.2016.03.016
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sin Young(김신영) ORCID logo https://orcid.org/0000-0002-2609-8945
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/155732
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