Li Yue
Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA.
Nat Prod Rep. 2023 Apr 26;40(4):922-956. doi: 10.1039/d2np00079b.
Covering: 2000 to 2022This article reviews the latest developments of analytical methods of volatile natural products. Volatile organic compounds (VOCs) released from biological systems correspond to a series of compounds, originating from primary and secondary metabolites. These compounds are important for intra- and interspecies chemical communication and interaction of living organisms. These valuable natural products can find applications in many fields, including foods, human nutrition, pharmaceuticals, perfumes, cosmetics and so on. Therefore, the deciphering of their structures is of increasing importance in many fields of natural product chemistry. Due to the large diversity of these compounds, there is no "single" analytical instrument or method that can be used to study all of them. Furthermore, most of the volatile compounds can be collected only in low concentrations. Therefore, their detection, identification and structural characterization are challenging tasks. The review briefly describes the extraction and preparation methods of samples, then introduces the tools of instrumental analysis utilized to identify or quantify the VOCs of natural products, including spectroscopic and mass spectrometric methods, such as offline GC-MS, multi-dimensional GC-MS, and online approaches including PTR-MS, SIFT-MS, SEMI-MS, DART-MS The current challenges of analytical techniques and future directions are also briefly discussed.
2000年至2022年
本文综述了挥发性天然产物分析方法的最新进展。生物系统释放的挥发性有机化合物(VOCs)对应于一系列源自初级和次级代谢产物的化合物。这些化合物对于生物体内和物种间的化学通讯及相互作用至关重要。这些有价值的天然产物可在许多领域找到应用,包括食品、人类营养、制药、香水、化妆品等。因此,在天然产物化学的许多领域中,对其结构的解析变得越来越重要。由于这些化合物种类繁多,没有一种“单一”的分析仪器或方法可用于研究所有这些化合物。此外,大多数挥发性化合物只能以低浓度收集。因此,它们的检测、鉴定和结构表征是具有挑战性的任务。本文综述简要描述了样品的提取和制备方法,然后介绍了用于鉴定或定量天然产物VOCs的仪器分析工具,包括光谱和质谱方法,如离线气相色谱-质谱联用(GC-MS)、多维GC-MS,以及在线方法,如质子转移反应质谱(PTR-MS)、选择离子流动管质谱(SIFT-MS)、半导体激光解吸/电离质谱(SEMI-MS)、直接实时分析质谱(DART-MS)。还简要讨论了分析技术当前面临的挑战和未来发展方向。