An Approach for Classification of Groundwaters by Synchronous Fluorescence Spectroscopy and Discriminant Analysis

1996 ◽  
Vol 24 (5) ◽  
pp. 206-211
Author(s):  
W. Geyer ◽  
L. Brüggemann ◽  
U. Schmitz
Keyword(s):  
Discriminant Analysis ◽  
Fluorescence Spectroscopy ◽  
Synchronous Fluorescence ◽  
Synchronous Fluorescence Spectroscopy

Classification of Intact Cereal Flours by Front-Face Synchronous Fluorescence Spectroscopy

2012 ◽  
Vol 5 (5) ◽  
pp. 1205-1213 ◽  
Author(s):  
Ivana Zeković ◽  
Lea Lenhardt ◽  
Tatjana Dramićanin ◽  
Miroslav D. Dramićanin
Keyword(s):  
Fluorescence Spectroscopy ◽  
Synchronous Fluorescence ◽  
Front Face ◽  
Synchronous Fluorescence Spectroscopy

Classification of plum spirit drinks by synchronous fluorescence spectroscopy

2016 ◽  
Vol 196 ◽  
pp. 783-790 ◽  
Author(s):  
J. Sádecká ◽  
M. Jakubíková ◽  
P. Májek ◽  
A. Kleinová
Keyword(s):  
Fluorescence Spectroscopy ◽  
Synchronous Fluorescence ◽  
Synchronous Fluorescence Spectroscopy

scholarly journals Rapid and nondestructive identification of Belgian and Netherlandish Trappist beers by front-face synchronous fluorescence spectroscopy coupled with multiple statistical analysis

2021 ◽  
Vol 13 (1) ◽  
pp. 83-92
Author(s):  
Jin Tan ◽  
Ming-Fen Li
Keyword(s):  
Discriminant Analysis ◽  
Fluorescence Spectroscopy ◽  
Cross Validation ◽  
Discrimination Performance ◽  
Principal Component ◽  
Synchronous Fluorescence ◽  
Front Face ◽  
True Negative ◽  
Synchronous Fluorescence Spectroscopy ◽  
Linear Discriminant

Front-face synchronous fluorescence spectroscopy (FFSFS) was applied for the rapid and noninvasive recognition of Belgian and Netherlandish Trappist beers against non-Trappist beers. The front-face synchronous fluorescence spectra at wavelength intervals (??) of 30 and 60 nm for 80 bottles of beer, including 41 Trappist and 39 non-Trap-pist beers, were acquired in a 5 × 10 mm fused-quartz cuvette settled in a traditional right-angle sample compartment. The discrimination model was constructed by either principal component analysis (PCA) combined with linear discriminant analysis (LDA) or partial least squares-discriminant analysis (PLS-DA). Both PCA–LDA and PLS-DA models were validated by full (leave-one-out) cross-validation and k-fold cross-validation (k = 5). The PCA–LDA model presents reliable discrimination performance, with the cross-validated sensitivity (true positive rate) and specificity (true negative rate) in the range of 82.9–85.4% and 71.8–76.9%, respectively. The misclassification mainly occurs to a small portion of ambiguous Trappist and non-Trappist samples such as Abbey beers, which are rather similar to Trappist beers.

Synchronous fluorescence spectroscopy for determination of tahini adulteration

Talanta ◽  
2017 ◽  
Vol 167 ◽  
pp. 557-562 ◽  
Author(s):  
Havva Tumay Temiz ◽  
Ugur Tamer ◽  
Aysel Berkkan ◽  
Ismail Hakki Boyaci
Keyword(s):  
Fluorescence Spectroscopy ◽  
Synchronous Fluorescence ◽  
Synchronous Fluorescence Spectroscopy
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