乳酸能够为机体提供大量能量，以维持细胞神经系统的稳定．医学上也常常将乳酸作为信号分子来即时监测机体的健康水平．准确、高效地检测活体组织中乳酸分子的含量变化，能够提供有关生物体机能和健康状况的重要信息，对疾病的早期诊断也具有一定的意义．目前文献中报道了几种利用磁共振波谱技术检测乳酸的方法，包括长TE滤波技术、多量子滤波技术，其信号选择性和效率存在一定的局限性．本文提出了一种可对乳酸信号进行选择性滤波的新方法，利用优化控制脉冲对核自旋参数具有特异性的特点，将乳酸分子甲基和次甲基上的四个质子转变为二自旋Zeeman序，实现对乳酸分子甲基信号的高效、高选择性检测．利用该脉冲序列方法，我们先后在混合物和高分子样品中，实现了对乳酸分子或类似化学基团信号的选择性检测．这项研究为在复杂体系中高效选择乳酸分子的信号提供了新的思路和方法．

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 changes 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. Several methods for detecting lactate using magnetic resonance spectroscopy techniques have been reported in literature, including long TE filtering technology and multiple quantum filtering technology, which have certain limitations in signal selectivity and efficiency. Here we propose 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.