Sorting and measurement of single gold nanoparticles in an optofluidic chip

• Main Authors: Chen, Tian Ning, Liu, Ai Qun, Chin, Lip Ket, Wu, Jiu Hui, Shi, Yu Zhi, Sha, Xiong, Zhang, Yi
• Other Authors: Dholakia, Kishan
• Format: Article
• Language: English
• Published: 2019
• Subjects: Optical Sorting; Engineering::Electrical and electronic engineering; Gold Nanoparticle
• Online Access: https://hdl.handle.net/10356/106363; http://hdl.handle.net/10220/49579; http://dx.doi.org/10.1117/12.2272114
• Institution: Nanyang Technological University

Gold nanoparticles have sparked strong interest owing to their unique optical and chemical properties. Their sizedependent refractive index and plasmon resonance are widely used for optical sorting, biomedicine and chemical sensing. However, there are only few examples of optical separation of different gold nanoparticles. Only separating 100-200 nm gold nanoparticles using wavelength selected resonance of the extinction spectrum has been demonstrated. This paper reports an optofluidic chip for sorting single gold nanoparticles using loosely overdamped optical potential wells, which are created by building optical and fluidic barriers. It is the first demonstration of sorting single nanoparticles with diameters ranging from 60 to 100 nm in a quasi-Bessel beam with an optical trapping stiffness from 10−10 to 10−9 N/m. The nanoparticles oscillate in the loosely overdamped potential wells with a displacement amplitude of 3–7 μm in the microchannel. The sizes and refractive indices of the nanoparticles can be determined from their trapping positions using Drude and Mie theory, with a resolution of 0.35 nm/μm for the diameter, 0.0034/μm and 0.0017/μm for the real and imaginary parts of the refractive index, respectively. Here we experimentally demonstrate the sorting of bacteria and protozoa on the optofluidic chip. The chip has high potential for the sorting and characterization of nanoparticles in biomedical applications such as tumour targeting, drug delivery and intracellular imaging.