Evaluation of adulteration in distillate samples of Rosa damascena Mill using colorimetric sensor arrays, chemometric tools and dispersive liquid-liquid microextraction-GC-MS.
Rosa damascena Mill
colorimetric sensor array
dispersive liquid-liquid microextraction
partial least square-discriminate analysis
Journal
Phytochemical analysis : PCA
ISSN: 1099-1565
Titre abrégé: Phytochem Anal
Pays: England
ID NLM: 9200492
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
revised:
12
01
2021
received:
25
08
2020
accepted:
22
02
2021
pubmed:
25
3
2021
medline:
13
10
2021
entrez:
24
3
2021
Statut:
ppublish
Résumé
Rosa damascena Mill distillate and its essential oil are widely used in cosmetics, perfumes and food industries. Therefore, the methods of detection for its authentication is an important issue. We suggest colorimetric sensor array and chemometric methods to discriminate natural Rosa distillate from synthetic adulterates. The colour responses of 20 indicators spotted on polyvinylidene fluoride (PVDF) substrate were monitored with a flatbed scanner; then their digital representation was analysed with principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and soft independent modelling of class analogy (SIMCA). Accurate discrimination of the diluted- and synthetic-mixture samples from the original ones was achieved by PLS-DA and SIMCA models with error rate of 0.01 and 0, specificity of 0.98 and 1, sensitivity of 1 and 1, and accuracy of 0.98 and 0.96, respectively. Discrimination of the synthetic adulterate from the original samples was achieved with error rate of 0.03 and 0.03, specificity of 0.94 and 0.93, sensitivity of 1 and 1, and accuracy of 0.93 and 0.71 with PLS-DA and SIMCA models, respectively. Moreover, the chemical constituents of the samples were analysed using dispersive liquid-liquid microextraction and gas chromatography-mass spectrometry (GC-MS). The main constituents of the distillate were geraniol, citronellol, and phenylethyl alcohol in different percentages, in both original and synthetic adulterate samples. These results point out the successful combination of colorimetric sensor array and PLS-DA and SIMCA as a fast, sensitive and inexpensive screening tool for discrimination of original samples of R. damascena Mill distillate from those prepared from synthetic Rosa essential oils.
Substances chimiques
Oils, Volatile
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1027-1038Subventions
Organisme : Shiraz University of Medical Sciences
ID : 20245
Informations de copyright
© 2021 John Wiley & Sons, Ltd.
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