J Agric Food Chem. 2019 Feb 27;67(8):2265-2271. doi: 10.1021/acs.jafc.8b06427. Epub 2019 Feb 18.
Citrus greening disease [Huanglongbing (HLB)] is the most destructive disease of citrus. In this work, we have established a metabolite-based mass spectrometry (MS) method for rapid detection of HLB in navel orange trees. Without sample pretreatment, characteristic mass spectra can be directly obtained from the raw plant samples using the direct MS method. The whole detection process can be accomplished within 1 min. By monitoring and comparisons of the healthy and infected plants throughout a whole year, characteristic MS peaks of metabolites are found to be specific responses from infected plants and, thus, could be used as biomarkers for detection of HLB. Therefore, HLB could be directly detected in the asymptomatic samples, such as stems, using this metabolite-based direct MS method. In addition, principal component analysis and partial least squares discriminant analysis modes of metabolites from healthy and infected trees were established for investigating differentiation and seasonal variations of HLB in leaves, veins, and stems, providing valuable information for understanding the HLB in different seasons.
黄龙病[黄龙病（HLB）]是柑橘类水果最具破坏性的疾病。在这项工作中，我们建立了一种基于代谢物的质谱（MS）方法，用于快速检测脐橙树上的 HLB。无需样品预处理，即可使用直接 MS 方法直接从原始植物样品中获得特征质谱。整个检测过程可在 1 分钟内完成。通过对一整年健康和感染植物的监测和比较，发现代谢物的特征 MS 峰是感染植物的特异性反应，因此可以作为 HLB 检测的生物标志物。因此，使用基于代谢物的直接 MS 方法，可以直接在无症状的样本（如茎）中检测 HLB。此外，还建立了健康和感染树木代谢物的主成分分析和偏最小二乘判别分析模式，用于研究叶片、叶脉和茎中 HLB 的分化和季节性变化，为了解不同季节的 HLB 提供了有价值的信息。
