Chen G, Kocaoglu-Vurma N A, Harper W J, Rodriguez-Saona L E
Department of Food Science and Technology, The Ohio State University, Columbus, Ohio 43210, USA.
J Dairy Sci. 2009 Aug;92(8):3575-84. doi: 10.3168/jds.2008-1939.
Improved cheese flavor has been attributed to the addition of adjunct cultures, which provide certain key enzymes for proteolysis and affect the dynamics of starter and nonstarter cultures. Infrared microspectroscopy provides unique fingerprint-like spectra for cheese samples and allows for rapid monitoring of cheese composition during ripening. The objective was to use infrared microspectroscopy and multivariate analysis to evaluate the effect of adjunct cultures on Swiss cheeses during ripening. Swiss cheeses, manufactured using a commercial starter culture combination and 1 of 3 adjunct Lactobacillus spp., were evaluated at d 1, 6, 30, 60, and 90 of ripening. Cheese samples (approximately 20 g) were powdered with liquid nitrogen and homogenized using water and organic solvents, and the water-soluble components were separated. A 3-microL aliquot of the extract was applied onto a reflective microscope slide, vacuum-dried, and analyzed by infrared microspectroscopy. The infrared spectra (900 to 1,800 cm(-1)) produced specific absorption profiles that allowed for discrimination among different cheese samples. Cheeses manufactured with adjunct cultures showed more uniform and consistent spectral profiles, leading to the formation of tight clusters by pattern-recognition analysis (soft independent modeling of class analogy) as compared with cheeses with no adjuncts, which exhibited more spectral variability among replicated samples. In addition, the soft independent modeling of class analogy discriminating power indicated that cheeses were differentiated predominantly based on the band at 1,122 cm(-1), which was associated with S-O vibrations. The greatest changes in the chemical profile of each cheese occurred between d 6 and 30 of warm-room ripening. The band at 1,412 cm(-1), which was associated with acidic AA, had the greatest contribution to differentiation, indicating substantial changes in levels of proteolysis during warm-room ripening in addition to propionic acid, acetic acid, and eye formation. A high-throughput infrared microspectroscopy technique was developed that can further the understanding of biochemical changes occurring during the ripening process and provide insight into the role of adjunct nonstarter lactic acid bacteria on the complex process of flavor development in cheeses.
奶酪风味的改善归因于添加了辅助培养物,这些培养物能提供某些关键的蛋白水解酶,并影响发酵剂和非发酵剂培养物的动态变化。红外光谱法能为奶酪样品提供独特的指纹状光谱,并能在奶酪成熟过程中快速监测其成分。本研究的目的是利用红外光谱法和多变量分析来评估辅助培养物对瑞士奶酪成熟过程的影响。使用商业发酵剂组合和三种辅助乳酸杆菌属中的一种制作的瑞士奶酪,在成熟的第1天、第6天、第30天、第60天和第90天进行评估。将奶酪样品(约20克)用液氮研磨成粉末,用水和有机溶剂均质化,然后分离出水溶性成分。取3微升提取物等分试样涂覆在反射显微镜载玻片上,真空干燥,并用红外光谱法进行分析。红外光谱(900至1800厘米-1)产生了特定的吸收谱,可用于区分不同的奶酪样品。与未添加辅助培养物的奶酪相比,添加了辅助培养物的奶酪显示出更均匀一致的光谱特征,通过模式识别分析(类类比软独立建模)形成紧密的聚类,而未添加辅助培养物的奶酪在重复样品之间表现出更大的光谱变异性。此外,类类比软独立建模判别能力表明,奶酪的区分主要基于1122厘米-1处的谱带,该谱带与S-O振动有关。每种奶酪化学特征的最大变化发生在暖房成熟的第6天至第30天之间。与酸性氨基酸相关的1412厘米-1处的谱带对区分的贡献最大,表明除了丙酸、乙酸和气孔形成外,暖房成熟过程中蛋白水解水平也发生了显著变化。开发了一种高通量红外光谱技术,该技术可以进一步了解成熟过程中发生的生化变化,并深入了解辅助非发酵乳酸菌在奶酪风味形成复杂过程中的作用。