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Determination of histamine in canned tuna by molecularly imprinted polymers-surface enhanced Raman spectroscopy

机译:分子印迹聚合物表面增强拉曼光谱法测定金枪鱼罐头中的组胺

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We introduce a rapid, cost effective and reliable approach to determine histamine level in canned tuna. Molecularly imprinted polymers (MIPs) were synthesized as artificial antibodies towards histamine by utilizing the interaction between histamine and a functional monomer (methacrylic acid) to impress specific binding sites on polymer particles after polymerization. Polyvinyl chloride (PVC) was used to immobilize the MIPs, yielding a MIPs-PVC film that functioned as a recognition element to specifically separate histamine from tuna extract. A gold colloid solution served both as an eluting solvent to extract histamine from MIPs-PVC film and furnish a substrate for surface enhanced Raman spectroscopy (SERS) detection of histamine signals. Principal component analysis together with a partial least square regression (PLSR) model (R-2 = 0.947, RMSECV = 3.526) verified the reliability of MIPs-PVC-SERS approach for the detection and spectral analysis of histamine. Linear regression models were also constructed to relate the intensity of different histamine SERS bands with the corresponding spiking levels. One such model (using a band at 1576 cm(-1)) performed slightly better in predicting histamine content in tuna than the PLSR model. We conclude that our new MIPs-PVC-SERS approach can rapidly and reliably determine histamine at levels from 3 to 90 ppm in canned tuna meat. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们介绍了一种快速,经济高效且可靠的方法来确定金枪鱼罐头中的组胺水平。通过利用组胺和功能性单体(甲基丙烯酸)之间的相互作用,在聚合后的聚合物颗粒上施加特定的结合位点,合成了分子印迹聚合物(MIP)作为针对组胺的人工抗体。聚氯乙烯(PVC)用于固定MIP,从而产生MIPs-PVC膜,该膜起着识别元件的作用,可从金枪鱼提取物中特异性分离出组胺。金胶体溶液既用作从MIPs-PVC膜中提取组胺的洗脱溶剂,又提供了用于表面增强拉曼光谱(SERS)检测组胺信号的底物。主成分分析和偏最小二乘回归(PLSR)模型(R-2 = 0.947,RMSECV = 3.526)验证了MIPs-PVC-SERS方法用于组胺检测和光谱分析的可靠性。还构建了线性回归模型,以将不同组胺SERS条带的强度与相应的加标水平相关联。一种这样的模型(使用1576 cm(-1)处的条带)在预测金枪鱼中组胺含量方面比PLSR模型稍好。我们得出结论,我们的新MIPs-PVC-SERS方法可以快速,可靠地测定罐头金枪鱼肉中组胺的含量,范围为3至90 ppm。 (C)2015 Elsevier B.V.保留所有权利。

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