CQM - Centro de Química da Madeira, Universidade da Madeira, Campus Universitário da Penteada, 9020-105, Funchal, Portugal.
Department of Anaesthesiology and Intensive Care Medicine, Rostock Medical Breath Research Analytics and Technologies (ROMBAT), University Medicine Rostock, Rostock, Germany.
Sci Rep. 2018 Aug 30;8(1):13113. doi: 10.1038/s41598-018-31380-y.
The growing cancer incidence and mortality worldwide claims for the development of novel diagnostic strategies. In this study we aimed to explore the potential of an innovative methodology, based on a needle trap microextraction (NTME), combined with gas chromatography-mass spectrometry (GC-MS), as new approach to isolate and profile urinary volatile organic metabolites (VOMs) from lung cancer (LC) patients and healthy individuals (CTRL). In this context, different experimental parameters with influence of NTME extraction efficiency including, temperature, equilibration time, headspace volume, ionic strength, pH, effects of sample volume and stirring, were investigated and optimized. For the DVB/CarX/Car1000 needle trap device (NTD), the best results were obtained using 40 mL headspace of a 4-mL acidified (pH = 2) urine sample with 20% NaCl and an extraction temperature of 50 °C for 40 min of equilibration time. The stability of the isolated VOMs was investigated up to 72 h after extraction. From the VOMs identified, belonging namely to ketones, sulphur and benzene derivatives, 98 presented a frequency of occurrence above 90%. Data were processed by discriminant analysis, retrieving differentiated clusters for LC and CTRL groups. As far we are aware, this is the first study using NTME/GC-MS to establish urinary volatomic profiles. Preliminary results are very promising, as broad and comprehensive volatile profiles were obtained. Moreover, the extended storage stability of the NTD devices opens new opportunities for sampling other matrices in a wide range of applications.
全球癌症发病率和死亡率的不断上升,要求开发新的诊断策略。在这项研究中,我们旨在探索一种创新方法的潜力,该方法基于针阱微萃取(NTME)与气相色谱-质谱联用(GC-MS)相结合,作为从肺癌(LC)患者和健康个体(CTRL)中分离和分析尿液挥发性有机代谢物(VOM)的新方法。在这种情况下,研究并优化了影响 NTME 萃取效率的不同实验参数,包括温度、平衡时间、顶空体积、离子强度、pH 值、样品体积和搅拌的影响。对于 DVB/CarX/Car1000 针阱装置(NTD),使用 40mL 酸化(pH=2)尿液的顶空(4-mL)、20% NaCl 和 50°C 的萃取温度、40min 的平衡时间,获得了最佳结果。萃取后,对分离的 VOM 进行了长达 72 小时的稳定性研究。在所鉴定的 VOM 中,属于酮、硫和苯衍生物的 98 种出现频率高于 90%。数据通过判别分析进行处理,为 LC 和 CTRL 组检索到不同的聚类。据我们所知,这是首次使用 NTME/GC-MS 建立尿液挥发谱的研究。初步结果非常有希望,因为获得了广泛而全面的挥发性图谱。此外,NTD 装置的扩展存储稳定性为在广泛的应用中采样其他基质开辟了新的机会。