Abstract

As a candidate for a rapid detection of biomaterials, terahertz (THz) spectroscopy system can be considered with some advantage in non-destructive, label-free, and non-contact manner. Because protein-ligand binding energy is in the THz range, especially, most important conformational information in molecular interactions can be captured by THz electromagnetic wave. Based on the THz time-domain spectroscopy system, THz nano-metamaterial sensing chips were prepared for great enhancing of detection sensitivity. A metamaterial sensing chip was designed for increasing of absorption cross section of the target sample, related to the transmitted THz near field enhancement via the composition of metamaterial. The measured THz optical properties were then analyzed in terms of refractive index and absorption coefficient, and compared with simulation results. Also, virus quantification regarding various concentrations of the viruses was performed, showing a clear linearity. The proposed sensitive and selective THz detection method can provide abundant information of detected biomaterials to help deep understanding of fundamental optical characteristics of them, suggesting rapid diagnosis way especially useful for such dangerous and time-sensitive target biomaterials.

Highlights

  • Since many intra/intermolecular vibration modes of biomaterials such as protein[1, 2] and DNA3–6 are located within THz spectral range, there has been great interest in research with THz spectroscopic system for biomaterials

  • Multi-resonance nano-antenna was suggested which is based on the concept of THz nano-antennas with a log-periodic alignment[18]

  • Each slot has a fundamental resonance; for example, the multi-resonance nano-antenna sensing chip has three resonances at 0.62, 0.93, and 1.31 THz, respectively, and the single-resonance nano-antenna sensing chip has a single fundamental resonance at 1.4 THz according to the effective refractive index of substrate[19]

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Summary

OPEN Nano metamaterials for ultrasensitive Terahertz biosensing

Dong-Kyu Lee[1], Ji-Hun Kang[2], Junghoon Kwon[3], Jun-Seok Lee[4,5], Seok Lee[1], Deok Ha Woo[1], Jae Hun Kim[1], Chang-Seon Song[3], Q-Han Park6 & Minah Seo[1]. In order to categorize the subtype of viruses, the THz transmittance spectra via the sensing chips are characterized with two important parameters; the resonance frequency shift and the decrease of normalized mtmraaitnxtsaimmncuitemtavnavlcaueleuveaanfluodrea.bTumhffaeesΔrssoTofnluvortimriouinssawingiattihhnoedusetafaminnpeydlpewraosittefhointllh,oTewvrieinslagat:itΔornaTnshnsomirpmi bt=tea tTnwbucfefeemerm−n Tatvhx,iemwdhueecmrreevaTaslbeuufoefefrfonisroavrmitrruaaslniczsomednitttatraiannnecsdeprotein, and m is a mass of virus sample calculated from concentration of virus samples. Multi-resonance nano-antenna sensing chip is very useful to detect optically unknown bio samples, especially, as such viruses without their unique fingerprinting at reliable frequency range. This preliminary attempt allows us to select suitable single-resonance nano-antenna optimized for the special virus detecting. Introduced nano-metamaterial based THz sensing, here, can provide a quick solution for the detection of AI viruses in non-contact and label-free manner, allowing quantification with very high accuracy

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