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조회290

고영경Youngkyung Ko

가톨릭대학교

Biosens. Bioelectron., Feb 01 2024, 251 S0956-5663(24)00101-5 | https://doi.org/10.1016/j.bios.2024.116097 An IoT-based aptasensor biochip for the diagnosis of periodontal disease

Thi Thanh-Qui Nguyen ^a, Eun-Mi Lee ^b, Thi Thanh-Thao Dang ^a, Eun Ryung Kim ^a, Youngkyung Ko ^b, Man Bock Gu ^a

^aDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Anam-dong, Seongbuk-gu, Seoul, 02841, Republic of Korea

^bDepartment of Dentistry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

Corresponding authors: Youngkyung Ko, Man Bock Gu

Abstract

Severe periodontitis affects nearly 1 billion individuals worldwide, highlighting the need for early diagnosis. Here, an integrated system consisting of a microfluidic chip and a portable point-of-care (POC) diagnostic device is developed using a polymethyl methacrylate (PMMA) chip fabrication and a three-dimensional printing technique, which is automatically controlled by a custom-designed smartphone application to routinely assess the presence of a specific periodontitis biomarker, odontogenic ameloblast-associated protein (ODAM). A sandwich-type fluorescence aptasensor is developed on a microfluidic chip, utilizing aptamer pair (MB@OD64 and OD35@FAM) selectively binding to target ODAM. Then this microfluidic chip is integrated into an automated Internet of Things (IoT)-based POC device, where fluorescence intensity, as a signal, from the secondary aptamer binding to ODAM in a sandwich-type binding reaction on the microfluidic chip is measured by a complementary metal oxide semiconductor (CMOS) camera with a 488 nm light-emitting diode (LED) excitation source. Obtained signals are processed by a microprocessor and visualized on a wirelessly connected smartphone application. This integrated biosensor system allows the rapid and accurate detection of ODAM within 30 min with a remarkable limit of detection (LOD) of 0.011 nM under buffer conditions. Clinical application is demonstrated by successfully distinguishing between low-risk and high-risk individuals with 100 % specificity. A strong potential in the translation of this fluorescence-based microfluidic aptasensor integrated with an IoT-based POC system is expected to be employed for non-invasive, on-site, rapid, and accurate ODAM detection, facilitating periodontitis diagnosis.

논문정보

형식Research article
게재일2024년 02월 (BRIC 등록일 2024-02-14)
연구진국내 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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