Röder Martin, Ibach Anja, Baltruweit Iris, Gruyters Helwig, Janise Annabella, Suwelack Carola, Matissek Reinhard, Vieths Stefan, Holzhauser Thomas
Division of Allergology, Paul-Ehrlich-Institut, Paul-Ehrlich-Strasse 51-59, 63225 Langen, Germany.
J Food Prot. 2008 Nov;71(11):2263-71. doi: 10.4315/0362-028x-71.11.2263.
Shared equipment in industrial food manufacture has repeatedly been described as a potential source of unlabeled food allergens, i.e., hidden allergens. However, the impact of shared equipment on allergen cross-contamination is basically unknown. Therefore, we sought to investigate systematically the extent of hazelnut cross-contamination in fine bakery wares as a model. A product change from cookies with 10% hazelnut to cookies without hazelnuts was simulated on pilot plant equipment. The extent of hazelnut cross-contamination (HNCC) was analyzed by enzyme-linked immunosorbent assay (ELISA) for each production device (kneaders, rotary molder, wire cutting machine, and steel band oven) and various cleaning procedures used between products. The experiments were performed repeatedly with finely ground hazelnuts and with roughly chopped hazelnut kernels. Cross-contamination from chopped kernels was distributed statistically but not homogeneously, and sampling and analysis with the ELISA was therefore not reproducible. Further analysis concentrated on homogenously distributed HNCC from ground hazelnut. Apart from product changes without intermediate cleaning, the highest HNCC was found after mechanical scraping: Up to 100 mg/kg hazelnut protein was found in the follow-up product after processing by one machine. After additional cleaning with hot water, the HNCC decreased regardless of the processing device to levels at or below 1 mg/kg hazelnut protein. In our pilot plant study, the application of an appropriate wet cleaning procedure in combination with quantitative monitoring of the cleaning efficiency reduced the hazelnut protein cross-contamination to a level at which severe hazelnut-related allergic reactions are unlikely to occur.
工业食品生产中的共享设备一再被描述为未标注食品过敏原(即隐藏过敏原)的潜在来源。然而,共享设备对过敏原交叉污染的影响基本上尚不清楚。因此,我们试图系统地研究作为模型的精细烘焙食品中榛子交叉污染的程度。在中试设备上模拟了产品从含10%榛子的饼干转变为不含榛子饼干的过程。通过酶联免疫吸附测定(ELISA)分析了每个生产设备(捏合机、旋转成型机、钢丝切割机和钢带烤箱)以及产品之间使用的各种清洁程序导致的榛子交叉污染程度(HNCC)。使用精细研磨的榛子和粗切的榛子仁重复进行了实验。粗切榛子仁造成的交叉污染呈统计学分布但不均匀,因此ELISA采样和分析无法重复。进一步分析集中在来自研磨榛子的均匀分布的HNCC上。除了无中间清洁的产品更换外,机械刮擦后发现的HNCC最高:一台机器加工后的后续产品中发现高达100 mg/kg的榛子蛋白。用热水进行额外清洁后,无论加工设备如何,HNCC均降至1 mg/kg榛子蛋白或更低水平。在我们的中试工厂研究中,应用适当的湿法清洁程序并结合对清洁效率的定量监测,可将榛子蛋白交叉污染降低到不太可能发生严重榛子相关过敏反应的水平。