Suppr超能文献

与丙酮共液化及呼出气中挥发性化合物的气相色谱分析作为肺癌生物标志物

Co-liquefaction with acetone and GC analysis of volatile compounds in exhaled breath as lung cancer biomarkers.

作者信息

Jouyban Abolghasem, Djozan Djavanshir, Mohammadandashti Parastou, Alizadeh-Nabil Aliakbar, Ghorbanpour Hooshangh, Khoubnasabjafari Maryam, Mohammadzadeh Mohammad

机构信息

Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.

Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Bioimpacts. 2017;7(2):99-108. doi: 10.15171/bi.2017.13. Epub 2017 Jun 20.

Abstract

A simple, rapid and low cost method for enrichment of volatile organic compounds (VOCs) from exhaled breath (EB) is presented. A 1000 mL home-made extraction device was filled with EB. The VOCs were extracted and condensed in 0.5 mL acetone. Recognition of volatiles in the real studied EB samples was performed by a GC-MS. The method displays an extraction efficiency of >86% with the enrichment factor of 1929 for octanal. Limits of detection and quantification, and linear dynamic range were 0.008, 0.026 and 0.026-400 ng/mL respectively. Analysis of real samples showed the existence of more than 100 compounds in EB of healthy volunteers and patients with lung cancer before and after treatment. Exhaled octanal concentration was significantly higher in lung cancer patient than in healthy volunteers and lung cancer patient after treatment. Having used the proposed approach, high extraction recovery (up to 86%) was attained for the lung cancer marker, octanal, as an important biomarker. Our findings on smaples of EB of healthy controls and patients with lung cancer before and after treatment provide complelling evidence upon the effectiveness of the developed method.

摘要

本文介绍了一种从呼出气(EB)中富集挥发性有机化合物(VOCs)的简单、快速且低成本的方法。一个1000 mL的自制萃取装置中充满了呼出气。VOCs被萃取并冷凝在0.5 mL丙酮中。通过气相色谱-质谱联用仪(GC-MS)对实际研究的呼出气样本中的挥发性物质进行识别。该方法的萃取效率>86%,对辛醛的富集因子为1929。检测限、定量限和线性动态范围分别为0.008、0.026和0.026 - 400 ng/mL。实际样本分析表明,健康志愿者和肺癌患者治疗前后的呼出气中存在100多种化合物。肺癌患者呼出气中的辛醛浓度显著高于健康志愿者和治疗后的肺癌患者。使用所提出的方法,作为重要生物标志物的肺癌标志物辛醛的萃取回收率高达86%。我们对健康对照者以及肺癌患者治疗前后呼出气样本的研究结果为所开发方法的有效性提供了令人信服的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24a4/5524991/507a3c7434ab/bi-7-99-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验