excitation emission matrices
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2020 ◽  
pp. 128721
Author(s):  
Mónica Palomino-Vasco ◽  
María Isabel Acedo-Valenzuela ◽  
María Isabel Rodríguez-Cáceres ◽  
Nielene Mora-Díez

Talanta ◽  
2020 ◽  
Vol 212 ◽  
pp. 120805
Author(s):  
Sadia Arif ◽  
Maha Al-Tameemi ◽  
Walter B. Wilson ◽  
Stephen A. Wise ◽  
Fernando Barbosa ◽  
...  

2020 ◽  
Vol 169 ◽  
pp. 115197 ◽  
Author(s):  
Amir Nakar ◽  
Ze’ev Schmilovitch ◽  
Dalit Vaizel-Ohayon ◽  
Yulia Kroupitski ◽  
Mikhail Borisover ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ramona-Crina Suciu ◽  
Liviu Zarbo ◽  
Francois Guyon ◽  
Dana Alina Magdas

AbstractThe potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardonnay, Pinot Gris, Riesling and Sauvignon) from two different countries (Romania and France) were investigated. The excitation – emission matrices were statistically processed using parallel factor analysis (PARAFAC). According to Soft Independent Modeling Classification Analogy (SIMCA) model, for cultivar differentiation, only 3 out of 107 wine samples (1 Pinot Gris (Romania); 1 Riesling (Romania) and 1 Sauvignon (France)) were misclassified while for geographical origin assessment, only 2 wines (1 Romania and 1 France) were misclassified. This study  demonstrates the potential of excitation – emission fluorescence matrices spectroscopy using the classical right angle technique in wine authentication, without sample dilution.


2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Kashif Islam ◽  
Saabah B. Mahbub ◽  
Sandhya Clement ◽  
Anna Guller ◽  
Ayad G. Anwer ◽  
...  

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