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用于测定食品样品中生物胺的酶传感器阵列。

Enzyme sensor array for the determination of biogenic amines in food samples.

作者信息

Lange Jana, Wittmann Christine

机构信息

University of Greifswald, Institute for Chemistry and Biochemistry, Germany.

出版信息

Anal Bioanal Chem. 2002 Jan;372(2):276-83. doi: 10.1007/s00216-001-1130-9. Epub 2001 Dec 15.

DOI:10.1007/s00216-001-1130-9
PMID:11936099
Abstract

An enzyme sensor array for the simultaneous determination of the three biogenic amines (histamine, tyramine and putrescine) by pattern recognition using an artificial neural network and its application to different food samples is described. A combination of a monoamine oxidase, a tyramine oxidase and a diamine oxidase (with specific activities sufficient for rapid detection) are immobilised each on a separate screen-printed thick-film electrode via transglutaminase and glutaraldehyde to compare these cross-linking reagents with regard to their suitability. To calculate the amount of a specific biogenic amine, the raw data from multichannel software were transferred to a neural network. The sensor array takes 20 min to complete (excluding statistical data analysis) with only one extraction and subsequent neutralisation step required prior to sensor measurement. The lower detection limits with the enzyme sensor were 10 mg/kg for histamine and tyramine, and 5 mg/kg for putrescine with a linear range up to 200 mg/kg for histamine and tyramine and 100 mg/kg for putrescine. The application area of the enzyme sensor array was tested from fish to meat products, sauerkraut, beer, dairy products, wine and further fermented foods and compared with the data of conventional LC analyses (mean correlation coefficient: 0.854).

摘要

描述了一种酶传感器阵列,该阵列通过使用人工神经网络进行模式识别同时测定三种生物胺(组胺、酪胺和腐胺)及其在不同食品样品中的应用。将单胺氧化酶、酪胺氧化酶和二胺氧化酶(具有足以进行快速检测的比活性)通过转谷氨酰胺酶和戊二醛分别固定在单独的丝网印刷厚膜电极上,以比较这些交联剂的适用性。为了计算特定生物胺的量,将来自多通道软件的原始数据传输到神经网络。该传感器阵列只需20分钟即可完成(不包括统计数据分析),在传感器测量之前仅需进行一次提取和随后的中和步骤。酶传感器对组胺和酪胺的检测下限为10 mg/kg,对腐胺的检测下限为5 mg/kg,组胺和酪胺的线性范围高达200 mg/kg,腐胺的线性范围为100 mg/kg。从鱼类到肉类产品、酸菜、啤酒、乳制品、葡萄酒及其他发酵食品,对酶传感器阵列的应用领域进行了测试,并与传统液相色谱分析的数据进行了比较(平均相关系数:0.854)。

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