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采用 UPLC/Q-TOF MS 和 HPLC 对玉米浆进行分类和分析。

Classification and analysis of corn steep liquor by UPLC/Q-TOF MS and HPLC.

机构信息

College of Pharmacy, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, People's Republic of China.

出版信息

Talanta. 2013 Mar 30;107:344-8. doi: 10.1016/j.talanta.2013.01.044. Epub 2013 Feb 4.

Abstract

Corn steep liquor (CSL), an important raw material with high nutritional value, serves as a nitrogen source in the fermentation industry. The CSL quality directly affects the yield and quality of fermentation products. In this work, a fingerprinting technique was used to identify the potential markers of CSL. Forty-two CSL samples from different manufacturers were profiled by ultra-performance liquid chromatography with tandem quadrupole time-of-flight mass spectrometry. Sixteen compounds, almost all of which were amino acids and their derivatives, were considered as the potential markers. Then, o-phthalaldehyde-9-fluorenylmethyl chloroformate precolumn derivatization by high-performance liquid chromatography was performed to identify the free amino acids in CSL. Principal component analysis (PCA) was used to distinguish among the samples from different manufacturers. The results demonstrated that the fingerprinting technique combined with PCA analysis was a powerful tool for determining the CSL quality.

摘要

玉米浆(CSL)是一种重要的具有高营养价值的原料,可用作发酵工业中的氮源。CSL 的质量直接影响发酵产品的产量和质量。在这项工作中,使用指纹图谱技术来鉴定 CSL 的潜在标志物。通过超高效液相色谱-串联四极杆飞行时间质谱对来自不同制造商的 42 个 CSL 样品进行了分析。考虑到 16 种化合物,几乎都是氨基酸及其衍生物,作为潜在的标志物。然后,通过高效液相色谱进行邻苯二甲醛-9-芴甲基氯甲酸酯柱前衍生化,以鉴定 CSL 中的游离氨基酸。主成分分析(PCA)用于区分不同制造商的样品。结果表明,指纹图谱技术结合 PCA 分析是确定 CSL 质量的有力工具。

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