Mogollón Noroska Gabriela Salazar, Prata Paloma Santana, Dos Reis Jadson Zeni, Neto Eugênio Vaz Dos Santos, Augusto Fabio
Institute of Chemistry, University of Campinas (IQ/UNICAMP), São Paulo, Brazil.
Department of Investigation, University of Bolivar (UEB), Ecuador.
J Sep Sci. 2016 Sep;39(17):3384-91. doi: 10.1002/jssc.201600418. Epub 2016 Aug 9.
Oil samples from Recôncavo basin (NE Brazil), previously analyzed by traditional techniques such as gas chromatography coupled to tandem mass spectrometry, were evaluated using comprehensive two-dimensional gas chromatography coupled to quadrupole mass spectrometry and comprehensive two-dimensional gas chromatography coupled to tandem mass spectrometry along with simplified methods of samples preparation to evaluate the differences and advantages of these analytical techniques to better understand the development of the organic matter in this basin without altering the normal distribution of the compounds in the samples. As a result, the geochemical parameters calculated by comprehensive two-dimensional gas chromatography coupled to tandem mass spectrometry described better the origin, maturity, and biodegradation of both samples probably by increased selectivity, resolution, and sensitivity inherent of the multidimensional technique. Additionally, the detection of the compounds such as, the C(14α-) homo-26-nor-17α-hopane series, diamoretanes, nor-spergulanes, C19 -C26 A-nor-steranes and 4α-methylsteranes resolved and detected by comprehensive two-dimensional gas chromatography coupled to tandem mass spectrometry were key to classify and differentiate these lacustrine samples according to their maturity and deposition conditions.
来自雷康卡沃盆地(巴西东北部)的油样,之前已通过气相色谱-串联质谱等传统技术进行过分析,此次使用全二维气相色谱-四极杆质谱联用技术以及全二维气相色谱-串联质谱联用技术,并结合简化的样品制备方法进行评估,以探究这些分析技术的差异和优势,从而在不改变样品中化合物正常分布的情况下,更好地了解该盆地中有机质的发育情况。结果表明,通过全二维气相色谱-串联质谱联用技术计算得到的地球化学参数,可能由于多维技术固有的选择性、分辨率和灵敏度的提高,能更好地描述两个样品的来源、成熟度和生物降解情况。此外,全二维气相色谱-串联质谱联用技术解析和检测到的C(14α-) 同系-26-降-17α-藿烷系列、二马雷烷、降斯珀古烷、C19 -C26 A-降甾烷和4α-甲基甾烷等化合物的检测,是根据这些湖相样品的成熟度和沉积条件进行分类和区分的关键。