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Exploring the potential of NTME/GC-MS in the establishment of urinary volatomic profiles. Lung cancer patients as case study

机译:探索NTME / GC-MS在建立尿液中的血流动力学特征方面的潜力。肺癌患者案例研究

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摘要

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.
机译:全球范围内不断增长的癌症发病率和死亡率要求开发新的诊断策略。在这项研究中,我们旨在探索一种基于针阱微萃取(NTME)结合气相色谱-质谱(GC-MS)的创新方法的潜力,作为分离和分析尿中挥发性有机代谢物(VOM)的新方法)来自肺癌(LC)患者和健康个体(CTRL)。在此背景下,研究并优化了受NTME萃取效率影响的不同实验参数,包括温度,平衡时间,顶空体积,离子强度,pH,样品体积和搅拌的影响。对于DVB / CarX / Car1000针头捕集器(NTD),使用40毫升/ mL顶空的4-mL酸化(pH == 2)尿液样品,用20%NaCl和50-°C的萃取温度可得到最佳结果,结果为40平衡时间的最小值。提取后至72OMh内,对分离的VOM的稳定性进行了研究。从已确定的属于酮,硫和苯衍生物的VOM中,有98种的出现频率高于90%。通过判别分析处理数据,检索LC和CTRL组的差异簇。据我们所知,这是第一个使用NTME / GC-MS建立尿液中的血容量谱的研究。由于获得了广泛而全面的挥发物概况,初步结果非常有希望。此外,NTD设备的扩展存储稳定性为在广泛应用中对其他矩阵进行采样提供了新的机会。

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