INRA, UMR1253 Science et Technologie du Lait et de l'Œuf, F-35042 Rennes, France.
Food Chem. 2013 Nov 15;141(2):1032-40. doi: 10.1016/j.foodchem.2013.03.094. Epub 2013 Apr 12.
Metabolic fingerprinting is an untargeted approach which has not yet been undertaken to investigate cheese. This study is a proof of concept, concerning the ability of mass spectrometry (MS) metabolic fingerprinting to investigate modifications induced by bacterial metabolism in cheese over time. An ultrafiltrated milk concentrate was used to manufacture model cheeses inoculated with Lactococcus lactis LD61. Metabolic fingerprints were acquired after 0, 8 and 48h from two different fractions of the metabolome: the water-soluble fraction using liquid chromatography-high resolution-MS and a volatile fraction using gas chromatography-MS. Metabolic fingerprints differed significantly over time. Forty-five metabolites were identified, including well-known cheese metabolites, such as 12 amino acids and 25 volatile metabolites, and less studied ones, such as four vitamins, uric acid, creatine and l-carnitine. These results showed the relevance of cheese MS fingerprinting to generate new findings and to detect even slight differences between two conditions.
代谢指纹图谱分析是一种非靶向性方法,尚未用于研究奶酪。本研究是一个概念验证,涉及质谱(MS)代谢指纹图谱分析技术,以研究细菌代谢随时间在奶酪中诱导的变化。使用超滤牛奶浓缩物制造接种有乳酸乳球菌 LD61 的模型奶酪。在 0、8 和 48 小时后,从代谢组的两个不同部分获取代谢指纹图谱:使用液相色谱-高分辨率-MS 的水溶性部分和使用气相色谱-MS 的挥发性部分。代谢指纹图谱随时间显著不同。鉴定出 45 种代谢物,包括众所周知的奶酪代谢物,如 12 种氨基酸和 25 种挥发性代谢物,以及研究较少的代谢物,如四种维生素、尿酸、肌酸和左旋肉碱。这些结果表明,奶酪 MS 指纹图谱分析具有产生新发现和检测两种条件之间甚至微小差异的相关性。