山西吕梁地区牛、羊乳及其制品的蛋白质组成分析研究

利用考马斯亮蓝G-250法定量测定了吕梁地区的牛羊乳中的蛋白质含量;采用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳法(SDS-PAGE)分析了牛羊乳中的蛋白质种类。结果表明:羊乳中的蛋白质含量显著高于牛乳,新鲜牛乳的碱性磷酸酶(ALP)活力和过氧化物酶(PLO)活力均显著高于新鲜羊乳。牛羊乳中蛋白质的种类差别比较的最佳试验方案:分离胶、浓缩胶浓度分别为12.5%和5%,电压分别为150 V和120 V。从电泳图谱可知:牛乳中的α-酪蛋白含量比羊乳高,而分子量却小于羊乳;牛乳中的β-酪蛋白分子量小于羊乳。因此,α-酪蛋白和β-酪蛋白可作为电泳法区别牛羊乳的特征性蛋白条带。     

牛羊乳蛋白质粒度对其热处理沉淀率的影响

研究牛羊乳蛋白质粒度大小对其热处理沉淀率的影响。采用离心沉淀、原子力显微镜、激光粒度仪和SDS-PAGE分析热处理后(95℃,15 min)牛羊乳蛋白质沉淀率、表面形貌、牛羊鲜乳蛋白质粒度和酪蛋白组成。结果表明:羊乳热处理后沉淀率显著高于牛乳(p0.05);羊乳蛋白质粒子明显大于牛乳,其蛋白质热处理片状凝聚程度(35 858.15 nm~2)大于牛乳(18 215.18 nm~2);鲜牛乳蛋白质粒度大小主要集中在1 nm以下,鲜羊乳蛋白质粒度在1 nm以下相对较少,主要分布在1~1 000 nm之间;牛羊鲜乳酪蛋白主要有β-酪蛋白和αs1-酪蛋白两种,相对分子质量分别为34 000和26 000左右。牛乳的热稳定性高于羊乳;蛋白质粒度大小是影响其热稳定性的直接因素;原子力显微镜结合激光粒度仪是分析乳蛋白粒度的有效手段。     

水牛乳蛋白质的组成

分析了摩拉水牛（M）、尼里-拉菲水牛（N）、一代杂交水牛（F1）、二代杂交水牛（F2）和高代杂交水牛（Fh）5个品代水牛的乳蛋白主要组分的相对百分比含量．同时分析了总氨基酸组成及钙、磷含量。结果表明，水牛乳蛋白的主要组分有：α-乳清蛋白（α-LA）、β-乳球蛋白（β-LG）、免疫球蛋白轻链（IgG—L）和重链（IgG—H）、αs1-酪蛋白（αs1-CN）、αs2-酪蛋白（αs2-CN），β-酪蛋白（β-CN）、κ-酪蛋白（κ—CN）、血清白蛋白（SA）和乳铁蛋白（LF）等；CN在水牛乳蛋白中占优势，与荷斯坦牛乳相比，水牛乳中CN的质量分数稍低，而且各品代水牛乳中的CN有显著性差异（P〈0．05）；乳清蛋白中β-LG含量最高；杂交水牛乳蛋白高于纯种摩拉水牛和尼里一拉菲水牛，差异显著（P〈0．05）：各品代水牛乳的氨基酸比例比较接近；不同品代水牛乳中钙、磷含量没有显著性差异。     

3种乳源酪蛋白粒径及胶束结构的差异性

通过纳米粒度分析仪和扫描电子显微镜,分别对水牛乳、牛乳及羊乳中的酪蛋白颗粒直径大小分布情况及酪蛋白胶束结构进行研究。结果表明：水牛乳、牛乳及羊乳中酪蛋白的粒径分布及胶束结构方面存在明显的差异。水牛乳酪蛋白平均颗粒直径为182.3nm,酪蛋白颗粒互相连接成较细长的胶束,胶束之间交联成网络状;牛乳酪蛋白平均颗粒直径为207.4nm,酪蛋白颗粒聚集成直径较大的胶束;羊乳酪蛋白平均颗粒直径为173.8nm,酪蛋白颗粒仅能够形成较短的胶束,也不能交联成网络状。     

牛乳、羊乳和人乳中的蛋白质组成及消化特性研究

在分析牛乳、羊乳和人乳蛋白质组成的基础上,通过模拟胃肠消化环境,研究牛乳、羊乳和人乳中蛋白质的消化特性。结果表明:牛乳中的蛋白质主要由αs1-酪蛋白、β-酪蛋白和β-乳球蛋白组成,羊乳中的蛋白质主要由αs2-酪蛋白、β-酪蛋白和β-乳球蛋白组成,人乳中的蛋白质主要由β-酪蛋白和α-乳白蛋白组成。牛乳、羊乳和人乳中酪蛋白与乳清蛋白的比例分别为4.45±0.03,3.65±0.07,0.51±0.03。牛乳、羊乳和人乳中的蛋白质主要在肠液中消化,其中酪蛋白在胃液中消化120 min时的消化率分别为88.6%、89.7%、98.1%,在肠液中消化30 min时的消化率分别为97.6%、98.4%、98.9%,在胃肠液中消化30 min后,酪蛋白几乎完全消化。3种乳相比较,人乳中的蛋白质在胃肠中最易消化,而羊乳中的蛋白质比牛乳更易消化。     

羊乳酪蛋白的乳化性质和热稳定性研究

试验采用等电点沉淀法和高速离心法提取崂山奶山羊原料乳的酪蛋白,并对其等电点、SDS-PAGE图谱、乳化活力、乳化稳定性、浊度和热稳定性进行分析。结果表明:崂山奶山羊乳酪蛋白的等电点pH为4.10,分子量为20~40 kDa,包括α-酪蛋白、β-酪蛋白和κ-酪蛋,且β-酪蛋白含量最多。两种提取方法所得酪蛋白溶液的乳化性质和浊度具有极显著性差异(p0.01);酪蛋白的热稳定性随温度的升高而降低。相比于高速离心法,等电点沉淀法制备的酪蛋白电泳图谱条带清晰、纯度较高、热稳定性较好,且酪蛋白溶液的乳化性均一性好。     

不同品种原料乳理化特性分析

主要分析荷斯坦牛、牦牛、娟珊牛、摩拉水牛、尼里-拉菲水牛、Ⅰ代杂交水牛、高代杂交水牛等7个品种的原料乳的常规营养成分,并对原料乳中蛋白质和氨基酸组成及牛乳缓冲能力进行测定。结果显示：摩拉水牛、尼里-拉菲水牛、Ⅰ代杂交水牛和高代杂交水牛的乳脂肪含量分别为6.86%、7.99%、8.34%、8.69%,蛋白质含量分别为5.75%、5.14%、5.78%、5.58%,干物质含量分别为17.07%、18.79%、19.73%、19.88%,显著高于其他3种牛乳;牦牛和娟珊牛乳中乳糖含量分别为5.09%、5.17%,显著高于其他5种牛乳。SDS-PAGE显示：水牛乳中除含有牛乳血清蛋白(BSA)、α-酪蛋白(α-CN)、β-酪蛋白(β-CN)、κ-酪蛋白(κ-CN)、β-乳球蛋白(β-Lg)和α-乳白蛋白(α-La)主要蛋白外,还含有一些未定性蛋白;且水牛乳具有最好的缓冲性能,其次是牦牛乳和娟珊牛乳,荷斯坦牛乳缓冲性能最差。     

热处理羊乳酪蛋白结构与抗原性的变化规律

热加工处理羊乳 α-酪蛋白(α-casein,α-CN)和 β-酪蛋白(β-casein,β-CN),通过圆二色谱、荧光光谱等方法探索不同热加工条件下羊乳的蛋白结构变化与抗原性的关系.结果表明:随着对蛋白热处理温度的升高,会破坏羊α-CN和β-CN的天然结构,使得分子内部发生交联或聚集,导致分子量发生改变,分子内游离羰...     

日本香川地区荷斯坦牛乳与娟姗牛乳营养成分的比较

目的比较日本香川地区荷斯坦和娟姗牛乳中乳清蛋白的总蛋白质含量,乳过氧化物酶(LPO)和乳铁蛋白的一些基本性质。方法以荷斯坦和娟姗牛乳为对象,经酸沉淀除酪蛋白后,通过离心,SP-Sepharose离子交换层析分离纯化得到乳过氧化物酶和乳铁蛋白,利用考马斯亮蓝定量、SDS-PAGE定性、ABTS检测乳过氧化物酶活性、最后通过基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)确认分子量。结果娟姗牛乳中乳清蛋白的总蛋白质和乳过氧化物酶含量均高于荷斯坦中乳清蛋白中的总蛋白质和乳过氧化物酶含量。娟姗乳清蛋白中的乳过氧化物酶活性(0.870 5 U/ml)高于荷斯坦乳清蛋白中的乳过氧化物酶活性(0.758 9 U/ml)。娟姗乳清蛋白中的乳过氧化物酶和乳铁蛋白分子量分别为786 48.154和831 23.538 k Da,荷斯坦乳清蛋白中的乳过氧化物酶和乳铁蛋白分子量分别为777 64.841和827 65.494 k Da。结论对于乳酪行业,当考虑养殖奶牛品种生产乳酪同时又想最大限度利用需要处理的乳清蛋白和乳铁蛋白的时候,相比于荷斯坦奶牛,娟姗奶牛是更好的选择。     

不同胎次及病牛牛乳中主要蛋白质成分的研究

本文分析了不同胎次、乳房炎及未知病牛牛乳中主要蛋白质成分,揭示了不同影响因素对牛乳中乳蛋白的影响。采用凝胶电泳(SDS-PAGE)结合液相色谱(HPLC)两种方法对不同牛乳中主要蛋白质进行分离检测,结果表明:两种方法都能够有效分离不同牛乳中的主要酪蛋白(αs-CN、β-CN和κ-CN)及乳清蛋白(α-La和β-Lg);SDS-PAGE法可得各蛋白组成及分子量;45 min内RPHPLC法可完成对牛乳中主要蛋白质定性及定量分析。     

SDS-PAGE of Proteins in Goat Milk Cheeses Ripened under Different Conditions

Proteolytic characteristics of five varieties of commercial goat milk cheeses and a cow milk Cheddar aged under different conditions were evaluated by SDS-PAGE and an advanced densitometry system. All fresh goat cheeses had distinctively lower intensities of α_S1-casein (CN) bands than those of cow milk Cheddar, whereas intensities of β-CN were much greater in the goat cheeses. The PAGE patterns clearly displayed α_S2-CN in all goat cheese, but it was negligible in cow milk Cheddar. The greater protein degradation in hard goat cheeses than cow milk Cheddar at 4°C and 22°C strongly correlated with water-soluble nitrogen compound concentrations and densitometric values of corresponding cheeses.     

Occurrence of β-casein fragments in cold-stored and curdled river buffalo (Bubalus bubalis L.) milk

The safeguard of river buffalo Mozzarella cheese, a Protected Designation of Origin dairy product, has prompted an analytical study to trace the milk and curd used as raw material in cheesemaking. This is to prevent the illegal use of milk or curd from different geographical areas outside of those indicated in the official production protocol. For this purpose, we studied primary proteolysis occurring in fresh and frozen milk and curd to identify a molecular marker that could indicate the raw material used. Whole casein from frozen river buffalo milk was separated using cation-exchange chromatography and sodium dodecyl sulfate-PAGE, and a protein component with an estimated molecular weight of 15.3 kDa was detected. This protein component was revealed in fresh river buffalo milk as a faint electrophoresis band, which drastically increased in intensity in refrigerated and frozen milk as well as in curd and was found to be associated with β-CN through hydrophobic interaction. By using matrix-assisted laser desorption/ionization-time of flight peptide mass mapping, this component was identified as the C-terminal fragment f(69-209) of β-CN (expected molecular weight of 15,748.8 Da). β-Casein f(69-209), originating from the early hydrolysis of Lys₆₈-Ser₆₉ by plasmin, has no counterpart in bovine milk. The increased rate of hydrolysis by plasmin toward the cleavage site Lys₆₈-Ser₆₉ has to be ascribed to the elevated proline content of the peptide 61-73. The favored production of β-CN f(69-209) has also drawn attention to the complementary proteose peptone β-CN f(1-68) that is presumed to play a physiological role in inducing milk secretion similar to that of β-CN f(1-29). The higher in vivo and in vitro production rate, compared with γ₁-CN formation, indicates that β-CN f(69-209) and its complementary fragment are candidate molecular markers to evaluate milk and curd freshness. We used indirect ELISA analysis based on the determination of remaining nonhydrolyzed β-CN to perform a quantitative evaluation of proteolysis.     

乳蛋白多态性和盐分布对牛乳凝乳性能的影响

研究不同基因型乳蛋白对牛乳凝乳特性的影响规律。采集1 071 头荷斯坦奶牛血样,分析κ-酪蛋白（κ-casein,κ-CN）和β-乳球蛋白（β-lactoglobulin,β-LG）的基因型,在明确基因型的基础上,采集样品开展牛乳凝乳能力评价。在初步筛选的基础上,选择凝乳性能好、凝乳性能差和不凝乳样品各至少30 份,重复3 次,开展凝乳流变学特性、蛋白多态性及矿物离子分布分析。通过动态流变仪、电感应耦合等离子体质谱仪、毛细管电泳、高效液相色谱技术分析不同凝乳等级牛乳的凝乳时间,胶体钙、镁、磷含量差异,不同基因型导致蛋白多态性及含量对牛乳凝乳能力的影响。结果显示,在所有奶牛组中,β-LG的AB基因型（占比48.48%）最常见,但AA型基因（30.97%）的原料乳凝乳效果较好;κ-CN的BB基因型（12.00%）凝乳效果较好,较AA、AB等其凝乳时间更短和凝胶强度更强。凝乳性能好的样品中CN含量及胶体钙含量较高,pH值较凝乳性能差和不凝乳样品低,凝乳时间与κ-CN含量呈反比,酪蛋白和乳清蛋白组成和基因频率的变化会影响牛乳凝乳性能的变化。     

不同乳基婴幼儿配方乳粉的理化性质和表面组成

为探究不同乳基对婴幼儿配方乳粉稳定性的影响,本研究对以牛乳和羊乳为基料制备的婴幼儿配方乳粉的水分质量分数和水分活度(water activity,a_w)、玻璃化转变温度(glass transition temperature,T_g)、乳糖结晶度、溶解度、色度、蛋白组成、总脂肪酸和表面游离脂肪酸组成等理化性质进行分析,用X射线光电子能谱(X-ray photoelectron spectroscopy,XPS)仪对乳粉表面成分进行测定,并通过扫描电子显微镜(scanning electron microscopy,SEM)观察乳粉表面形貌。结果表明：羊乳婴幼儿配方乳粉具有较好的理化性质,与牛乳婴儿配方乳粉相比具有较低的水分质量分数、a_w、色度和T_g,而结晶度和溶解度接近,通过气相色谱-质谱(gas chromatography-mass spectrometry,GC-MS)对脂肪酸含量进行测定发现,牛乳和羊乳婴幼儿配方乳粉均表现出总脂肪酸中不饱和脂肪酸含量较高,表面游离脂肪酸中饱和脂肪酸含量较高的...     

Effectiveness of mid-infrared spectroscopy for the prediction of detailed protein composition and contents of protein genetic variants of individual milk of Simmental cows

Mid-infrared (MIR) spectroscopy was used to predict the detailed protein composition of 1,517 milk samples of Simmental cows. Contents of milk protein fractions and genetic variants were quantified by reversed-phase HPLC. The most accurate predictions were those obtained for total protein, casein (CN), α_S1-CN, β-lactoglobulin (LG), glycosylated κ-CN, and whey protein content, which exhibited coefficients of determination between predicted and measured values in cross-validation (1-VR) ranging from 0.61 to 0.78. Less favorable were results for β-CN (1-VR = 0.53), α_S2-CN, and κ-CN (1-VR = 0.49). Neither the content of α-LA nor that of γ-CN was accurately predicted by MIR. Predicting the content of the most common milk protein genetic variants (κ-CN A and B; β-CN A¹, A², and B; and β-LG A and B) was unfeasible (1-VR <0.15 for the content of κ-CN genetic variants and 1-VR <0.01 for the content of β-CN variants). The best predictions were obtained for β-LG A and β-LG B contents (1-VR of 0.60 and 0.44, respectively). Results indicated that MIR is not applicable for predicting individual milk protein composition with high accuracy. However, MIR spectroscopy predictions may play a role as indicator traits in selective breeding to enhance milk protein composition. The genetic correlation between MIR spectroscopy predictions and measures of milk protein composition needs to be investigated, as it affects the suitability of MIR spectroscopy predictions as indicator traits in selective breeding.     

牛羊乳混掺检测鉴别技术研究进展

近年来,羊乳以其较好的营养特性渐成流行趋势,由于季节波动的影响,其价格远高于牛乳。在经济利益的驱动下,羊乳中掺入牛乳的现象时有发生,且呈现日趋严重的趋势,制约了羊奶产业的良性发展,迫切需要建立快速准确的牛羊乳混掺定性定量检测技术体系。本文对牛羊乳的差异及据此建立的、业已报道的相关检测技术进行了比较分析。常用检测技术主要包括色谱技术(气相色谱、气相色谱-质谱联用、高效液相色谱-质谱联用、高效液相色谱)、电泳技术(聚丙烯酰胺凝胶电泳、等电点聚焦电泳、毛细管电泳)、酶联免疫技术、聚合酶链式反应技术等,介绍了各种检测技术的原理及特点,并分析其可行性,为探索新的高效检测方法提供了思路,为牛羊乳混掺检测分析提供文献参考。     

Effects of milk protein variants on the protein composition of bovine milk

The effects of β-lactoglobulin (β-LG), β-casein (β-CN), and κ-CN variants and β-κ-CN haplotypes on the relative concentrations of the major milk proteins α-lactalbumin (α-LA), β-LG, α_S1-CN, α_S2-CN, β-CN, and κ-CN and milk production traits were estimated in the milk of 1,912 Dutch Holstein-Friesian cows. We show that in the Dutch Holstein-Friesian population, the allele frequencies have changed in the past 16 years. In addition, genetic variants and casein haplotypes have a major impact on the protein composition of milk and explain a considerable part of the genetic variation in milk protein composition. The β-LG genotype was associated with the relative concentrations of β-LG (A » B) and of α-LA, α_S1-CN, α_S2-CN, β-CN, and κ-CN (B > A) but not with any milk production trait. The β-CN genotype was associated with the relative concentrations of β-CN and α_S2-CN (A² > A¹) and of α_S1-CN and κ-CN (A¹ > A²) and with protein yield (A² > A¹). The κ-CN genotype was associated with the relative concentrations of κ-CN (B > E > A), α_S2-CN (B > A), α-LA, and α_S1-CN (A > B) and with protein percentage (B > A). Comparing the effects of casein haplotypes with the effects of single casein variants can provide better insight into what really underlies the effect of a variant on protein composition. We conclude that selection for both the β-LG genotype B and the β-κ-CN haplotype A²B will result in cows that produce milk that is more suitable for cheese production.     

Effects of the detailed protein composition of milk on curd yield and composition measured by model micro-cheese curd making of individual milk samples

The effect of the contents of casein (CN) and whey protein fractions on curd yield (CY) and composition was estimated using 964 individual milk samples. Contents of α_S1-CN, α_S2-CN, β-CN, γ-CN, glycosylated κ-CN (Gκ-CN), unglycosylated κ-CN, β-LG, and α-LA of individual milk samples were measured using reversed-phase HPLC. Curd yield and curd composition were measured by model micro-cheese curd making using 25 mL of milk. Dry matter CY (DMCY) was positively associated with all casein fractions but especially with α_S1-CN and β-CN. Curd moisture decreased at increasing β-CN content and increased at increasing γ-CN and Gκ-CN content. Due to their associations with moisture, Gκ-CN and β-CN were the fractions with the greatest effect on raw CY, which decreased by 0.66% per 1-standard deviation (SD) increase in the content of β-CN and increased by 0.62% per 1-SD increase in the content of Gκ-CN. The effects due to variation in percentages of the casein fractions in total casein were less marked than those exerted by contents. A 1-SD increase in β-CN percentage in casein (+3.8% in casein) exerted a slightly negative effect on DMCY (β = ?0.05%). Conversely, increasing amounts of α_S1-CN percentage were associated with a small increase in DMCY. Hence, results suggest that, at constant casein and whey protein contents in milk, the DMCY depends to a limited extent on the variation in the α_S1-CN:β-CN ratio. κ-Casein percentage did not affect DMCY, indicating that the positive relationship detected between the content of κ-CN and DMCY can be attributed to the increase in total casein resulting from the increased amount of κ-CN and not to variation in κ-CN relative content. However, milk with increased Gκ-CN percentage in κ-CN also shows increased raw CY and produces curds with increased moisture content. Curd yield increased at increasing content and relative proportion of β-LG in whey protein, but this is attributable to an improved capacity of the curd to retain water. Results obtained in this study support the hypothesis that, besides variation in total casein and whey protein contents, variation in protein composition might affect the cheese-making ability of milk, but this requires further studies.     

Effects of breed and casein genetic variants on protein profile in milk from Swedish Red,Danish Holstein,and Danish Jersey cows

In selecting cows for higher milk yields and milk quality, it is important to understand how these traits are affected by the bovine genome. The major milk proteins exhibit genetic polymorphism and these genetic variants can serve as markers for milk composition, milk production traits, and technological properties of milk. The aim of this study was to investigate the relationships between casein (CN) genetic variants and detailed protein composition in Swedish and Danish dairy milk. Milk and DNA samples were collected from approximately 400 individual cows each of 3 Scandinavian dairy breeds: Swedish Red (SR), Danish Holstein (DH), and Danish Jersey (DJ). The protein profile with relative concentrations of α-lactalbumin, β-lactoglobulin, and α_S1-, α_S2-, κ-, and β-CN was determined for each milk sample using capillary zone electrophoresis. The genetic variants of the α_S1- (CSN1S1), β- (CSN2), and κ-CN (CSN3) genes for each cow were determined using TaqMan SNP genotyping assays (Applied Biosystems, Foster City, CA). Univariate statistical models were used to evaluate the effects of composite genetic variants, α_S1-β-κ-CN, on the protein profile. The 3 studied Scandinavian breeds differed from each other regarding CN genotypes, with DH and SR having similar genotype frequencies, whereas the genotype frequencies in DJ differed from the other 2 breeds. The similarities in genotype frequencies of SR and DH and differences compared with DJ were also seen in milk production traits, gross milk composition, and protein profile. Frequencies of the most common composite α_S1-β-κ-CN genotype BB/A²A²/AA were 30% in DH and 15% in SR, and cows that had this genotype gave milk with lower relative concentrations of κ- and β-CN and higher relative concentrations of α_S-CN, than the majority of the other composite genotypes in SR and DH. The effect of composite genotypes on relative concentrations of the milk proteins was not as pronounced in DJ. The present work suggests that a higher frequency of BB/A¹A²/AB, together with a decrease in BB/A²A²/AA, could have positive effects on DH and SR milk regarding, for example, the processing of cheese.     

Dynamic in vitro gastric digestion of infant formulae made with goat milk and cow milk: Influence of protein composition

The gastric digestion behaviours of infant formulae made with goat milk and cow milk, with different ratios of casein to whey protein, were investigated using an in vitro dynamic infant human gastric simulator. The goat milk infant formulae formed smaller flocs of aggregated protein and oil droplets under gastric conditions, leading to faster protein digestion in goat milk infant formulae than in cow milk infant formulae. The extent of coagulation of protein and the size of flocculated oil droplets were dependent on the protein composition of the formulae. The casein-dominated cow milk infant formula had greater aggregation initially during gastric digestion, but a lower rate of casein digestion. The results suggest that the different composition of the casein micelles in goat milk may play an important role in the lower extent of coagulation and the faster protein gastric digestion in goat milk compared with cow milk.