Project 96: Surface-enhanced Raman Spectroscopy for Metabolomics and Disease Early Diagnosis

Contact Information:

Prof. Jian Ye

Project Description and Objectives：

Accurate diagnosis is of great concern in clinics and a technique that can realize early diagnosis will especially benefit the patients. However, a high level of heterogeneity makes the examination of single molecular targets or tissue pieces extremely limited. Multiple metabolites detection, which provides a comprehensive metabolic profile of a biological system, can be leveraged to indicate the disease-related physiological status and has the potential to discover the biomarkers that are likely to have been overlooked before.

This project will focus on using surface-enhanced Raman scattering (SERS) to directly probe the detailed metabolites in the biofluids based on the molecule-fingerprinting spectral nature with the advantage of ultra-high throughput and single-molecule sensitivity. The SERS technique, a non-targeting, non-invasive and efficient technique, will pave a new way for accurate disease diagnosis and basic pathological studies with high practical and popularizing value.

Eligibility Requirements：

Background in biomedical nanomaterials and clinical diagnosis

Prerequisite of biomedical statistics and basic algorithms for data analysis

Enthusiasm for advancing the in vitro diagnostics (IVD) techniques

Main Tasks：

Synthesis and optimization of SERS nanomaterials for metabolite detection

Practicing SERS measurements of the biofluids

Developing and optimizing the algorithms for spectral analysis

Writing final reports.

Website:

Lab: http://www.yelab.sjtu.edu.cn/

School: https://bme.sjtu.edu.cn/