Development of Methods for the Classification of EVOOs According to Their Geographical Origin

2012 ◽  
pp. 175-181
Author(s):  
María Jesús Lerma García
Keyword(s):  
Geographical Origin

scholarly journals Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Abdelkhalek Oussama ◽  
Fatiha Elabadi ◽  
Noureddine Barka ◽  
Fatima Mahjoubi ◽  
Fouzia Kzaiber
Keyword(s):  
Infrared Spectroscopy ◽  
Geographical Origin

scholarly journals Linear discriminant analysis based on gas chromatographic measurements for geographical prediction of USA medical domestic cannabis

2020 ◽  
Author(s):  
Ramia Z. Al Bakain ◽  
Yahya S. Al-Degs ◽  
James V. Cizdziel ◽  
Mahmoud A. Elsohly
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Principal Components ◽  
Supervised Classification ◽  
Geographical Origin ◽  
Active Components ◽  
Linear Discriminant ◽  
Sample Extraction ◽  
Analytical Range

AbstractFifty four domestically produced cannabis samples obtained from different USA states were quantitatively assayed by GC–FID to detect 22 active components: 15 terpenoids and 7 cannabinoids. The profiles of the selected compounds were used as inputs for samples grouping to their geographical origins and for building a geographical prediction model using Linear Discriminant Analysis. The proposed sample extraction and chromatographic separation was satisfactory to select 22 active ingredients with a wide analytical range between 5.0 and 1,000 µg/mL. Analysis of GC-profiles by Principle Component Analysis retained three significant variables for grouping job (Δ9-THC, CBN, and CBC) and the modest discrimination of samples based on their geographical origin was reported. PCA was able to separate many samples of Oregon and Vermont while a mixed classification was observed for the rest of samples. By using LDA as a supervised classification method, excellent separation of cannabis samples was attained leading to a classification of new samples not being included in the model. Using two principal components and LDA with GC–FID profiles correctly predict the geographical of 100% Washington cannabis, 86% of both Oregon and Vermont samples, and finally, 71% of Ohio samples.

scholarly journals Metabolomics-based authentication of wines according to grape variety

2019 ◽  
Vol 37 (No. 4) ◽  
pp. 239-245 ◽  
Author(s):  
Leos Uttl ◽  
Kamila Hurkova ◽  
Vladimir Kocourek ◽  
Jana Pulkrabova ◽  
Monika Tomaniova ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Statistical Models ◽  
High Performance ◽  
Geographical Origin ◽  
Principal Component ◽  
White Wine ◽  
Tandem Mass ◽  
Grape Variety ◽  
Varietal Identification

In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system

2014 ◽  
Vol 112 ◽  
pp. 104-108 ◽  
Author(s):  
Marina Alejandra Domínguez ◽  
Paulo Henrique Gonçalves Dias Diniz ◽  
María Susana Di Nezio ◽  
Mário César Ugulino de Araújo ◽  
María Eugenia Centurión
Keyword(s):  
Digital Image ◽  
Geographical Origin ◽  
Batch System

scholarly journals The use of bacteriophages for differentiating plasmids ofPseudomonas aeruginosa

1974 ◽  
Vol 23 (3) ◽  
pp. 327-334 ◽  
Author(s):  
V. Krishnapillai
Keyword(s):  
Antibiotic Resistance ◽  
Geographical Origin ◽  
Original Strain ◽  
Sex Factors ◽  
Phenotypic Characteristics ◽  
Host Chromosome ◽  
Geographical Regions ◽  
R Factors ◽  
Isogenic Strains

SUMMARYSix bacteriophages have been used in the classification of 19 plasmids (antibiotic resistance-mediating R factors and FP sex factors which promote host chromosome transfer) ofP. aeruginosaisolated in different geographical regions. On the basis of phage-plating responses on isogenic strains of bacteria differing only in the plasmids carried, five groups of plasmids were distinguishable. In general the groups could be correlated with their geographical origin although differences between plasmids from the same region were found. The unique phage-plating responses were also useful in establishing the possible identity of plasmids isolated from the same original strain and given different designations by independent investigators. The classification of the plasmids derived here on the basis of phage-plating responses could be correlated with classifications based upon other phenotypic characteristics described elsewhere. The nature of inhibition of plating of phages B39 and G101 by R18–1 and R18–3 respectively was shown to be due to interference with some aspect of intra-cellular phage replication rather than to plasmid-mediated restriction.

Classification of extra virgin olive oils according to the protected designation of origin, olive variety and geographical origin

Talanta ◽  
2008 ◽  
Vol 75 (4) ◽  
pp. 937-943 ◽  
Author(s):  
Silvia López-Feria ◽  
Soledad Cárdenas ◽  
José Antonio García-Mesa ◽  
Miguel Valcárcel
Keyword(s):  
Geographical Origin ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Protected Designation Of Origin ◽  
Olive Variety
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