Citation: GU Gui-Ying, WANG Xin, ZHOU Hua-Lan, LIU Bao-Lin. Progresses of Magnetic Relaxation Switch Sensor in Medical Diagnosis and Food Safety Analysis[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(8): 1161-1170. doi: 10.11895/j.issn.0253-3820.171153 shu

Progresses of Magnetic Relaxation Switch Sensor in Medical Diagnosis and Food Safety Analysis

School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received Date: 7 August 2017
Revised Date: 8 June 2018

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos. 81773482, 31201365) and Science and Technology Commission Key Research Projects of Shanghai (No. 11142200403)

Fast and accurate detection of complex samples in either medical diagnosis or food safety analysis is of great significance for the safeguarding of human health. The magnetic relaxation switches(MRS) technology based on superparamagnetic nanoparticles (SMP) is the combination of nano-biotechnology,nuclear magnetic resonance, chemistry and immunoassay. MRS assay has the characteristics of high sensitivity and specificity, as well as nondestructive and time-saving, and can be used in turbid complex samples. In this paper, with brief discussion about the detection theory of superparamagnetic nanosensor, the target type, structural characteristics, limit of detection, state of magnetic nanoparticles and the change of T2 value of MRS were reviewed. The research progresses of magnetic relaxation switch sensor in medical diagnosis of different biomarkers and the analysis of food hazard factor were also summarized. Accordingly, the future research targets from three aspects, e.g., preparation and modification of magnetic nanoparticles, the improvement of detection sensitivity and construction of high flux magnetic relaxation switch sensor, have been put forward.
- Superparamagnetic nanoparticles,
- Magnetic relaxation switch sensor,
- Medical diagnosis,
- Food safety,
- Analysis,
- Review
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