Chem. J. Chinese Universities ›› 2024, Vol. 45 ›› Issue (11): 20240376.doi: 10.7503/cjcu20240376

• Article • Previous Articles     Next Articles

Tip Fe2O3 Nanorods Driven High-performance Mass Spectrometry Analysis for Constructing Metabolic Fingerprint of PM2.5-exposed Mice

ZHANG Yihan1, HUA Tianyu2, HOU Shijiao1, ZHANG Yangyang2, YIN Dan2, JI Xiangbo4, ZHANG Yanhao2(), PEI Congcong1(), ZHANG Shusheng1,3   

  1. 1.College of Chemistry
    2.School of Ecology and Environment
    3.Center of Advanced Analysis and Gene Sequencing,Zhengzhou University,Zhengzhou 450001,China
    4.Henan Key Laboratory of Unconventional Feed Resource Innovative Utilization,Henan University of Animal Husbandry and Economy,Zhengzhou 450001,China
  • Received:2024-07-31 Online:2024-11-10 Published:2024-09-29
  • Contact: ZHANG Yanhao, PEI Congcong E-mail:yhzhang_chem@outlook.com;ccpei@zzu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(22376190)

Abstract:

The performance of laser desorption/ionization mass spectrometry(LDI MS) is greatly limited by the choice and design of the matrix. Structural design of the matrix can further improve the detection performance. The sharper corner can effectively enhance charge transfer and photothermal conversion efficiency, thereby improving the ionization and desorption ability in LDI MS. Therefore, we constructed an LDI MS platform based on tip Fe2O3 nanorods(Nr-Fe2O3). The nanoscale surface roughness, strong light absorption, enhanced ionization ability, and photothermal conversion properties of Nr-Fe2O3 have improved the selectivity and sensitivity of LDI-MS for metabolite detection[3—10 fold signal enhancement compared with Fe2O3 nanoparticles(Np-Fe2O3), 10—15 fold signal enhanced compared to commercial organic matrices]. In the serum samples, the Nr-Fe2O3 was used to collect serum metabolic fingerprints of fine particulate matter(PM2.5)-exposed mice, and screen the fluctuating features by T-test. Our approach guides us in matrix design for LDI MS metabolic analysis and provides the theoretical support for subsequent PM2.5 exposure toxicology research.

Key words: Metabolic analysis, Laser desorption/ionization mass spectrometry, Metal oxide

CLC Number: 

TrendMD: