Literature DB >> 21376975

Direct coupling of a gas-liquid separator to an ion mobility spectrometer for the classification of different white wines using chemometrics tools.

R Garrido-Delgado1, L Arce, A V Guamán, A Pardo, S Marco, M Valcárcel.   

Abstract

The potential of a vanguard technique as is the ion mobility spectrometry with ultraviolet ionization (UV-IMS) coupled to a continuous flow system (CFS) have been demonstrated in this work using a gas phase separator (GPS). This vanguard system (CFS-GPS-UV-IMS) has been used for the analysis of different types of white wines to obtain a characteristic profile for each type of wine and their posterior classification using different chemometric tools. Precision of the method was 3.1% expressed as relative standard deviation. A deep chemometric study was carried out for the classification of the four types of wines selected. The best classification performance was obtained by first reducing the data dimensionality by principal component analysis (PCA) followed by linear discriminant analysis (LDA) and finally using a k-nearest neighbour (kNN) classifier. The classification rate in an independent validation set was 92.0% classification rate value with confidence interval [89.0%, 95.0%] at 95% confidence level. The same white wines analyzed using CFS-GPS-UV-IMS were analyzed using gas chromatography with a flame detector (GC-FID) as conventional technique. The chromatographic method used for the determination of superior alcohols in wine samples shown in the Regulation CEE 1238/1992 was selected to carry out the analysis of the same samples set and later the classification using appropriate chemometrics tools. In this case, strategies PCA-LDA and kNN classifier were also used for the correct classification of the wine samples. This combination showed similar results to the ones obtained with the proposed method.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21376975     DOI: 10.1016/j.talanta.2011.01.044

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  7 in total

1.  A Practical Method to Estimate the Resolving Power of a Chemical Sensor Array: Application to Feature Selection.

Authors:  Luis Fernandez; Jia Yan; Jordi Fonollosa; Javier Burgués; Agustin Gutierrez; Santiago Marco
Journal:  Front Chem       Date:  2018-06-12       Impact factor: 5.221

2.  Changes in the Volatile Components of Candied Kumquats in Different Processing Methodologies with Headspace-Gas Chromatography-Ion Mobility Spectrometry.

Authors:  Xiao Hu; Rongrong Wang; Jiajing Guo; Keda Ge; Gaoyang Li; Fuhua Fu; Shenghua Ding; Yang Shan
Journal:  Molecules       Date:  2019-08-22       Impact factor: 4.411

3.  Ion Mobility Spectrometry as a Potential Tool for Flavor Control in Chocolate Manufacture.

Authors:  Carolin Schmidt; Doris Jaros; Harald Rohm
Journal:  Foods       Date:  2019-10-09

4.  Smells Like Teen Spirit-A Model to Generate Laundry-Associated Malodour In Vitro.

Authors:  Marc-Kevin Zinn; Marco Singer; Dirk Bockmühl
Journal:  Microorganisms       Date:  2021-04-30

5.  Comparative Analysis and Development of a Flavor Fingerprint for Volatile Compounds of Vegetable Soybean Seeds Based on Headspace-Gas Chromatography-Ion Mobility Spectrometry.

Authors:  Fengjie Yuan; Xujun Fu; Xiaomin Yu; Qinghua Yang; Hangxia Jin; Longming Zhu
Journal:  Front Plant Sci       Date:  2021-12-14       Impact factor: 5.753

6.  A Sequence Variation in GmBADH2 Enhances Soybean Aroma and Is a Functional Marker for Improving Soybean Flavor.

Authors:  Linlin Qian; Hangxia Jin; Qinghua Yang; Longming Zhu; Xiaomin Yu; Xujun Fu; Man Zhao; Fengjie Yuan
Journal:  Int J Mol Sci       Date:  2022-04-08       Impact factor: 6.208

7.  Classification of Bitter Orange Essential Oils According to Fruit Ripening Stage by Untargeted Chemical Profiling and Machine Learning.

Authors:  Saeedeh Taghadomi-Saberi; Sílvia Mas Garcia; Amin Allah Masoumi; Morteza Sadeghi; Santiago Marco
Journal:  Sensors (Basel)       Date:  2018-06-13       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.