Danielsen Marianne, Nebel Caroline, Dalsgaard Trine Kastrup
Department of Food Science, Aarhus University, Agro Food Park 48, 8200 Aarhus N, Denmark.
CBIO, Centre for Circular Bioeconomy, Aarhus University, 8000 Aarhus C, Denmark.
Foods. 2020 Mar 9;9(3):309. doi: 10.3390/foods9030309.
Determination of the L- and D-amino acid composition in proteins is important for monitoring process-induced racemization, and thereby protein quality loss, in food and feed. Such analysis has so far been challenging due to the need for sample hydrolysis, which generates racemization, thereby leading to an overestimation of D-amino acids. Here, validation of an LC-MS/MS-based method for the simultaneous determination of L- and D-amino acids in complex biological matrixes, like food and feed, was performed in combination with deuterated HCl hydrolysis. This approach eliminated a racemization-induced bias in the L- and D-amino acid ratios. The LC-MS/MS method was applied for the analysis of 18 free amino acids, with a quantification limit of either 12.5 or 62 ng/mL, except for D-phenylalanine, for which quantification was impaired by background interference from the derivatization agent. For hydrolyzed samples, the composition of 10 L- and D-amino acids pairs could be determined in protein. The average relative standard deviation was 5.5% and 6.1%, depending on the type of hydrolysis tubes. The method was applied on a green protein isolate (lucerne), which contained an average of 0.3% D-amino acids. In conclusion, this method allows for an unbiased analysis of L- and D-amino acid ratios in complex protein samples, such as food and feed.
测定蛋白质中的L-和D-氨基酸组成对于监测食品和饲料加工过程中诱导的消旋作用以及由此导致的蛋白质质量损失非常重要。由于需要进行样品水解,而水解会产生消旋作用,从而导致D-氨基酸的高估,因此到目前为止,这种分析一直具有挑战性。在此,结合氘代盐酸水解,对一种基于液相色谱-串联质谱法同时测定复杂生物基质(如食品和饲料)中L-和D-氨基酸的方法进行了验证。这种方法消除了消旋作用引起的L-和D-氨基酸比例偏差。液相色谱-串联质谱法用于分析18种游离氨基酸,除D-苯丙氨酸外,定量限为12.5或62 ng/mL,D-苯丙氨酸的定量受到衍生化试剂背景干扰的影响。对于水解样品,可以测定蛋白质中10对L-和D-氨基酸的组成。根据水解管的类型,平均相对标准偏差为5.5%和6.1%。该方法应用于一种绿色蛋白质分离物(苜蓿),其平均含有0.3%的D-氨基酸。总之,该方法能够对复杂蛋白质样品(如食品和饲料)中的L-和D-氨基酸比例进行无偏差分析。