Accurate multiplexed detection with magnetic particle spectroscopy
Abstract
Accurate multiplexed detection of magnetic nanoparticles (MNPs) is essential for bioassays that require simultaneous quantification of multiple biomolecules. This study proposes a dual-frequency magnetic particle spectroscopy (MPS) approach that improves multiplexed detection accuracy by combining MPS signals acquired at two excitation frequencies. The frequency-dependent MPS responses of MNPs dominated by either Brownian or Néel relaxation are investigated and analyzed, with the complex harmonic components serving as the basis for distinguishing different MNP types. In the experiments, commercial bionized nanoferrite and Synomag MNPs—dominated by Brownian and Néel relaxation, respectively—are mixed with different percentages. The accuracy of multiplexed detection is quantitatively assessed and compared between single-frequency and dual-frequency excitation schemes. Experimental results show that combining MPS signals at 0.5 and 32.6 kHz significantly improves the accuracy of multiplexed detection of MNPs. We anticipate that this dual-frequency strategy is of great importance for enabling highly precise multiplexed detection in bioassay applications.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (8)
Jing Zhong
Penghui Wang
School of Instrumentation and Optoelectronic Engineering, and Ministry of Education Key Laboratory of Precision Opto-Mechatronics Technology, Beihang University 1 , Beijing 100191,
Ximin Cheng
School of Instrumentation and Optoelectronic Engineering, and Ministry of Education Key Laboratory of Precision Opto-Mechatronics Technology, Beihang University 1 , Beijing 100191,
Chunhao Yin
School of Instrumentation and Optoelectronic Engineering, and Ministry of Education Key Laboratory of Precision Opto-Mechatronics Technology, Beihang University 1 , Beijing 100191,
Alexey O. Ivanov
Ural Federal University , Lenin Av., 51, Ekaterinburg 620000,
Ekaterina A. Elfimova
Institute of Natural Science and Mathematics, Ural Federal University 3 , Ekaterinburg 620000,
Shijie Sun
Lijun Xu