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Rapid differentiation of alcoholic beverage by direct electrospray probe with statistic software

A novel ambient ionization method which is so-called direct electrospray probe (DEP) has been developed in this study. This method provides rapid and high throughput analysis due to its advantages such as no sample pretreatment, low sample consumption, easily to change sample. In the study, we improved the interface of direct electrospray probe, and extend spray time to 1 minute for chemical analysis. Because of extending spray time, the method could be combined with principal component analysis (PCA), which is one kind of statistical method. Therefore, we applied the method for determination of alcoholic beverage which contains a lot of ions and alcohol. First, the conditions such as applying voltage, sample volume and shape of probe have been modified. The probes we used in the study were made by used metal pieces. These metal pieces with different thickness and tip angle to be test. Then, we found the optimize conditions as: voltage 7.0 kV, sample volume 3 £gL, thicknss of metal piece 0.1 mm, angle of metal piece 25 degree. Classification of 14 brands of wines which were purchased from supermarket was determined and analyzed by the method. Otherwise, we used the method to distinguish real wines from hedge wines we simulated. The hedge wines were prepared by adding flavor in alcohol solutions. Furthermore, we also used this method to observe fermentation process of wine production. Finally, deterioration of wine under exposure in air was also determined by the method. The results of the study demonstrated that the method we developed can be applied to distinguish hedge wines from real wines. And, it can used to monitor the fermentation process of wine production for quality control.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0727111-014405
Date27 July 2011
CreatorsYang, Chia-hsing
ContributorsYi-sheng Wang, Jentaie Shiea, Maw-Rong Lee
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727111-014405
Rightsunrestricted, Copyright information available at source archive

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