Abstract:

Lactate can provide a large amount of energy to the body to maintain the stability of the cellular nervous system. In medicine, lactate is often used as a signaling molecule to monitor the health level of the body in a timely manner. Accurately and efficiently detecting the change in the content of lactate in living tissues can provide important information about the physiological functions and health status of the organism, and also has certain significance for the early diagnosis of diseases. Currently, several methods for detecting lactate using magnetic resonance spectroscopy techniques have been reported in literatures, including long TE filtering technology and multiple quantum filtering technology, which have certain limitations in signal selectivity and efficiency. Here we proposes a new method for selectively filtering lactate signals, which uses optimized control pulses to specifically transform the four hydrogen protons on the methyl and methine of lactate molecules into a two-spin Zeeman order, achieving efficient and highly selective detection of the methyl signal of lactate. Using this pulse sequence method, we have successively achieved selective detection of the signals of lactate or similar chemical groups in mixtures and polymer samples. This study provides new ideas and methods for efficiently selecting the signals of lactate in complex systems.

Key words: Nuclear magnetic resonance spectroscopy, Optimal control pulse, Spectral editing, Lactate