文章摘要
祝爱艳;梁 露;侯金雪;李昱昊;孙雪峰;杨延峰;王远兴.基于赣南脐橙指纹图谱的主成分及UPLC-Q-TOF-MS分析[J].中国食品学报,2019,19(8):257-264
基于赣南脐橙指纹图谱的主成分及UPLC-Q-TOF-MS分析
  
DOI:
中文关键词: 赣南脐橙  高效液相色谱  超高效液相色谱-四级杆飞行时间质谱  指纹图谱  主成分分析
英文关键词: gannan navel orange  high performance liquid chromatography  UPLC-Q-TOF-MS  fingerprints  principal component analysis
基金项目:国家自然科学基金项目(31560478); 江西省重点研发计划项目(20161BFF60095)
作者单位
祝爱艳;梁 露;侯金雪;李昱昊;孙雪峰;杨延峰;王远兴 南昌大学食品科学与技术国家重点实验室南昌330047 
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中文摘要:
      建立不同产地赣南脐橙的指纹图谱,对其进行主成分分析,并采用超高效液相色谱-四级杆飞行时间质谱(UPLC-Q-TOF-MS)分析共有峰成分。采用色谱柱为Agilent-C18 column (2.1 mm×100 mm,1.8 μm),流动相为0.1%甲酸水溶液(A)-甲醇(B)进行梯度洗脱,柱温35 ℃,流速0.3 mL/min,检测波长254 nm,质谱以正离子模式进行全扫描。以色谱图构建赣南脐橙指纹图谱,对其相似度研究,并对指纹图谱上的共有峰进行主成分分析。结果表明,14批赣南脐橙样品的指纹图谱中有21个共有峰,样品与对照指纹图谱相似度均在0.90以上。通过相似度分析,可以有效区分非赣南脐橙。样品经主成分分析,得到4个主成分,其累计方差贡献率为85.75%,并可将样品分为4类。通过分析正离子质谱信息,结合相关文献报道,推断并鉴定出3个共有峰的化合物。该方法准确、可靠,重现性好,所建立的指纹图谱结合主成分分析可用于赣南脐橙的专属性鉴定和其产地的区分。
英文摘要:
      The study was to establish the fingerprints of Gannan navel orange from different growing areas and to make principal component analysis. The study carried out ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) method to identify the common peaks of Gannan navel orange samples. The liquid-chromatographic separation conditions of this experiment were performed as followed: on a Agilent-C18 column (2.1 mm×100 mm, 1.8 μm), using 0.1% formic acid aqueous solution(A)/ methanol (B) as the mobile phase with a flow rate of 0.3 mL/min through gradient elution, column kept at 35 ℃, and detection wavelength was set at 254 nm, mass spectrometry thorough scan in positive ion modes. The fingerprint of Gannan navel orange was established by all above chromatograms, and was researched the similarity of the fingerprint. The common peaks acquired from fingerprints were used principal component analysis. Results showed that there were twenty-one common peaks in the fingerprints of fourteen batches of Gannan navel orange samples, and the similarity of samples was above 0.90 with their characteristic fingerprint. Therefore, this method could be used to distinguish the non-Gannan navel orange sample. Through principal component analysis, four principal components were obtained, whose cumulative contribution of variance accounted to 85.75% of the total variance. The samples can be classified into four groups. Through the analysis of the positive ion mass spectra information and the relevant reports, 3 compounds of Common peak were identified. This method is accurate, reliable and well reproducible, and the established fingerprint combined with principal component analysis can be used for the identification of the navel orange and its origin.
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