首页> 外文期刊>Biosensors & Bioelectronics: The International Journal for the Professional Involved with Research, Technology and Applications of Biosensers and Related Devices >A novel bio-electronic tongue using different cellobiose dehydrogenases to resolve mixtures of various sugars and interfering analytes
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A novel bio-electronic tongue using different cellobiose dehydrogenases to resolve mixtures of various sugars and interfering analytes

机译:一种新颖的生物电子舌,使用不同的纤维二糖脱氢酶来解析各种糖和干扰分析物的混合物

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摘要

A novel application of cellobiose dehydrogenase (CDH) as sensing element for a Bioelectronic Tongue (BioET) system has been tested. In this work CDHs from various fungi, which exhibit different substrate specificities, were used to discriminate between lactose and glucose in presence of the interfering matrix compound Ca2+ in various mixtures. This work exploits the advantage of an electronic tongue system with practically zero pre-treatment of samples and operation at low voltages in a direct electron transfer mode. The Artificial Neural Network (ANN) used in the BioET system to interpret the voltammetric data was able to provide a correct prediction of the concentrations of the analytes considered. Correlation coefficients in the comparison of obtained vs. expected concentrations were highly significant, especially for lactose (R-2=0.975) and Ca2+ (R-2=0.945). This BioET application has a high potential especially for the food and dairy industry and also, if further miniaturised in screen printed format, for its in-situ use. (C) 2015 Elsevier B.V. All rights reserved.
机译:测试了纤维二糖脱氢酶(CDH)在生物电子舌(BioET)系统中作为传感元件的新应用。在这项工作中,来自各种真菌的CDH表现出不同的底物特异性,被用来在各种混合物中存在干扰基质化合物Ca2 +的情况下区分乳糖和葡萄糖。这项工作利用了电子舌片系统的优势,该系统几乎可以对样品进行零处理,并且可以在直接电子传输模式下以低电压运行。 BioET系统中用于解释伏安数据的人工神经网络(ANN)能够提供对所分析物浓度的正确预测。在获得的浓度与预期浓度的比较中,相关系数非常显着,尤其是对于乳糖(R-2 = 0.975)和Ca2 +(R-2 = 0.945)。这种BioET应用具有很大的潜力,特别是对于食品和乳品行业,如果以丝网印刷的形式进一步小型化,则可以现场使用。 (C)2015 Elsevier B.V.保留所有权利。

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