Goodfellow M, Freeman R, Sisson P R
Department of Microbiology, Medical School, Newcastle upon Tyne, UK.
Zentralbl Bakteriol. 1997 Jan;285(2):133-56. doi: 10.1016/s0934-8840(97)80023-0.
Pyrolysis mass spectrometry is a well established analytical tool that has received a considerable boost from the development of low cost, dedicated instruments and sophisticated statistical analyses on personal computers. Further analytical developments, especially in the area of neural networks, are pushing the technology to the forefront of methods for the discrimination and identification of microorganisms and their products. The speed and reproducibility of pyrolysis mass spectrometry and its applicability to a wide range of microorganisms make it an attractive method for epidemiological studies. For inter-strain comparisons, the method is at least as discriminatory as conventional typing systems and usually gives discrimination similar to that of nucleic acid fingerprinting techniques. There has been some success in using neural networks to make identifications across pyrolysis mass spectrometric batches. Further development of methods used to handle data from multiple PyMS analyses can be expected to extend the value of pyrolysis mass spectrometry in clinical microbiology.
热解质谱法是一种成熟的分析工具，随着低成本专用仪器的发展以及个人计算机上复杂统计分析方法的出现，它得到了极大的推动。进一步的分析技术发展，尤其是在神经网络领域，正将该技术推向微生物及其产物鉴别和鉴定方法的前沿。热解质谱法的速度、重现性及其对多种微生物的适用性，使其成为流行病学研究中一种有吸引力的方法。对于菌株间比较，该方法至少与传统分型系统具有相同的鉴别力，并且通常能给出与核酸指纹技术相似的鉴别结果。在利用神经网络跨热解质谱批次进行鉴定方面已经取得了一些成功。预计用于处理来自多次热解质谱分析数据的方法的进一步发展，将扩大热解质谱法在临床微生物学中的价值。
