Institute for Pheromone Research and Department of Chemistry, Indiana University, 800 E Kirkwood Ave., Bloomington, IN 47405, USA.
J Chem Ecol. 2010 Sep;36(9):1035-42. doi: 10.1007/s10886-010-9846-7. Epub 2010 Aug 31.
Human saliva not only helps control oral health (with anti-microbial proteins), but it may also play a role in chemical communication. As is the case with other mammalian species, human saliva contains peptides, proteins, and numerous volatile organic compounds (VOCs). A high-throughput analytical method is described for profiling a large number of saliva samples to screen the profiles of VOCs. Saliva samples were collected in a non-stimulated fashion. The method utilized static stir bar extraction followed by gas chromatography-mass spectrometry (GC-MS). The method provided excellent reproducibility for a wide range of salivary compounds, including alcohols, aldehydes, ketones, carboxylic acids, esters, amines, amides, lactones, and hydrocarbons. Furthermore, substantial overlap of salivary VOCs and the previously reported skin VOCs in the same subject group was found in this study by using pattern recognition analyses. Sensitivity, precision, and reproducibility of the method suggest that this technique has potential in physiological, metabolomic, pharmacokinetic, forensic, and toxicological studies of small organic compounds where a large number of human saliva samples are involved.
人类唾液不仅有助于控制口腔健康(具有抗菌蛋白),还可能在化学通讯中发挥作用。与其他哺乳动物一样,人类唾液中含有肽、蛋白质和许多挥发性有机化合物(VOCs)。本文描述了一种高通量分析方法,用于分析大量唾液样本,以筛选 VOCs 的特征图谱。唾液样本以非刺激的方式收集。该方法利用静态搅拌棒提取,然后进行气相色谱-质谱(GC-MS)分析。该方法对包括醇、醛、酮、羧酸、酯、胺、酰胺、内酯和烃在内的广泛的唾液化合物具有出色的重现性。此外,通过使用模式识别分析,本研究发现同一组受试者的唾液 VOCs 与先前报道的皮肤 VOCs 有大量重叠。该方法的灵敏度、精密度和重现性表明,该技术在涉及大量人类唾液样本的小分子化合物的生理学、代谢组学、药代动力学、法医学和毒理学研究中具有潜力。