Advances in Nanoplasmonic Biosensors: Optimizing Performance for Exosome Detection Applications

Author:

Nurrohman Devi Taufiq1ORCID,Chiu Nan-Fu12ORCID,Hsiao Yu-Sheng3,Lai Yun-Ju2ORCID,Nanda Himansu Sekhar4ORCID

Affiliation:

1. Laboratory of Nano-Photonics and Biosensors, Institute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 11677, Taiwan

2. Department of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan

3. Department of Materials Science and Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Da-an District, Taipei 10607, Taiwan

4. Biomedical Engineering and Technology Laboratory, Mechanical Engineering Discipline, PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur 482005, India

Abstract

The development of sensitive and specific exosome detection tools is essential because they are believed to provide specific information that is important for early detection, screening, diagnosis, and monitoring of cancer. Among the many detection tools, surface-plasmon resonance (SPR) biosensors are analytical devices that offer advantages in sensitivity and detection speed, thereby making the sample-analysis process faster and more accurate. In addition, the penetration depth of the SPR biosensor, which is <300 nm, is comparable to the size of the exosome, making the SPR biosensor ideal for use in exosome research. On the other hand, another type of nanoplasmonic sensor, namely a localized surface-plasmon resonance (LSPR) biosensor, has a shorter penetration depth of around 6 nm. Structural optimization through the addition of supporting layers and gap control between particles is needed to strengthen the surface-plasmon field. This paper summarizes the progress of the development of SPR and LSPR biosensors for detecting exosomes. Techniques in signal amplification from two sensors will be discussed. There are three main parts to this paper. The first two parts will focus on reviewing the working principles of each sensor and introducing several methods that can be used to isolate exosomes. This article will close by explaining the various sensor systems that have been developed and the optimizations carried out to obtain sensors with better performance. To illustrate the performance improvements in each sensor system discussed, the parameters highlighted include the detection limit, dynamic range, and sensitivity.

Funder

Ministry of Science and Technology of the Republic of China (ROC), Taiwan

National Taiwan Normal University

Ministry of Education (MOE) in Taiwan

Publisher

MDPI AG

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