Leça João M, Pereira Ana C, Vieira Ana C, Reis Marco S, Marques José C
Centre of Exact Sciences and Engineering, University of Madeira, Campus da Penteada, 9000-390 Funchal, Portugal; Institute of Nanostructures, Nanomodelling and Nanofabrication (I3N), University of Aveiro, Aveiro, Portugal.
Centre of Exact Sciences and Engineering, University of Madeira, Campus da Penteada, 9000-390 Funchal, Portugal; CIEPQPF, Department of Chemical Engineering, University of Coimbra, Pólo II - Rua Sílvio Lima, 3030-790 Coimbra, Portugal.
Anal Chim Acta. 2015 Aug 5;887:101-110. doi: 10.1016/j.aca.2015.06.044. Epub 2015 Aug 10.
Vicinal diketones, namely diacetyl (DC) and pentanedione (PN), are compounds naturally found in beer that play a key role in the definition of its aroma. In lager beer, they are responsible for off-flavors (buttery flavor) and therefore their presence and quantification is of paramount importance to beer producers. Aiming at developing an accurate quantitative monitoring scheme to follow these off-flavor compounds during beer production and in the final product, the head space solid-phase microextraction (HS-SPME) analytical procedure was tuned through experiments planned in an optimal way and the final settings were fully validated. Optimal design of experiments (O-DOE) is a computational, statistically-oriented approach for designing experiences that are most informative according to a well-defined criterion. This methodology was applied for HS-SPME optimization, leading to the following optimal extraction conditions for the quantification of VDK: use a CAR/PDMS fiber, 5 ml of samples in 20 ml vial, 5 min of pre-incubation time followed by 25 min of extraction at 30 °C, with agitation. The validation of the final analytical methodology was performed using a matrix-matched calibration, in order to minimize matrix effects. The following key features were obtained: linearity (R(2) > 0.999, both for diacetyl and 2,3-pentanedione), high sensitivity (LOD of 0.92 μg L(-1) and 2.80 μg L(-1), and LOQ of 3.30 μg L(-1) and 10.01 μg L(-1), for diacetyl and 2,3-pentanedione, respectively), recoveries of approximately 100% and suitable precision (repeatability and reproducibility lower than 3% and 7.5%, respectively). The applicability of the methodology was fully confirmed through an independent analysis of several beer samples, with analyte concentrations ranging from 4 to 200 g L(-1).
连二酮,即双乙酰(DC)和戊二酮(PN),是啤酒中天然存在的化合物,在啤酒香气的形成中起着关键作用。在贮藏啤酒中,它们会导致异味(黄油味),因此它们的存在和定量对啤酒生产商至关重要。为了开发一种准确的定量监测方案,以跟踪啤酒生产过程中和最终产品中的这些异味化合物,通过以最佳方式规划的实验对顶空固相微萃取(HS-SPME)分析程序进行了调整,并对最终设置进行了全面验证。实验的优化设计(O-DOE)是一种基于计算、以统计为导向的方法,用于根据明确的标准设计信息最丰富的实验。该方法应用于HS-SPME的优化,得出了以下用于VDK定量的最佳萃取条件:使用CAR/PDMS纤维,在20 ml小瓶中加入5 ml样品,预孵育5分钟,然后在30℃下搅拌萃取25分钟。使用基质匹配校准对最终分析方法进行验证,以尽量减少基质效应。获得了以下关键特性:线性(双乙酰和2,3-戊二酮的R(2)均>0.999)、高灵敏度(双乙酰和2,3-戊二酮的检测限分别为0.92μg L(-1)和2.80μg L(-1),定量限分别为3.30μg L(-1)和10.01μg L(-1))、回收率约为100%以及合适的精密度(重复性和再现性分别低于3%和7.5%)。通过对几种分析物浓度范围为4至200 g L(-1)的啤酒样品进行独立分析,充分证实了该方法的适用性。