Fuel cells have been used in the past, by present authors, to quantify alcohol or glucose content in foods, or drinks, while in more recent papers authors investigated the analytical survey of the Direct Catalytic Fuel Cell (DCFC) for “qualitative” analysis too of aliphatic alcohols and so on, using suitable chemometric methods for DCFC data elaboration. In the present research authors tried to extend the same format, for qualitative determination to several carbohydrates (Glucose, Xylose, Fructose, Galactose, Sucrose), using the same simple experimental apparatus for batch analytical measurements, i.e., a Direct Catalytic Fuel Cell, obviously after incubation of carbohydrates by Yeast, to obtain corresponding alcohol from carbohydrates. Lastly obtained experimental data has been processed by different chemometric strategies. At first, the whole response curves’ data have been subjected to Principal Component Analysis (PCA). Lastly, applying, to only initial response data of Fuel Cell, a multi-block exploratory approach, using the ComDim algorithm, so that best separation and recognitions were achieved.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Qualitative Carbohydrates Analysis Using Yeast-Direct Catalytic Fuel Cell Bio-Device and Chemometrics

  • Mauro Tomassetti,
  • Corrado Di Natale,
  • Federico Marini,
  • Mauro Castrucci,
  • Luigi Campanella

摘要

Fuel cells have been used in the past, by present authors, to quantify alcohol or glucose content in foods, or drinks, while in more recent papers authors investigated the analytical survey of the Direct Catalytic Fuel Cell (DCFC) for “qualitative” analysis too of aliphatic alcohols and so on, using suitable chemometric methods for DCFC data elaboration. In the present research authors tried to extend the same format, for qualitative determination to several carbohydrates (Glucose, Xylose, Fructose, Galactose, Sucrose), using the same simple experimental apparatus for batch analytical measurements, i.e., a Direct Catalytic Fuel Cell, obviously after incubation of carbohydrates by Yeast, to obtain corresponding alcohol from carbohydrates. Lastly obtained experimental data has been processed by different chemometric strategies. At first, the whole response curves’ data have been subjected to Principal Component Analysis (PCA). Lastly, applying, to only initial response data of Fuel Cell, a multi-block exploratory approach, using the ComDim algorithm, so that best separation and recognitions were achieved.