Chemical Analysis, Quality Control and Packaging Issues of Olive Oil

ChemInform ◽  
2003 ◽  
Vol 34 (7) ◽  
Author(s):  
Apostolos Kiritsakis ◽  
Antonis Kanavouras ◽  
Konstantinos Kiritsakis
Foods ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 355 ◽  
Author(s):  
Sara Barbieri ◽  
Karolina Brkić Bubola ◽  
Alessandra Bendini ◽  
Milena Bučar-Miklavčič ◽  
Florence Lacoste ◽  
...  

A set of 334 commercial virgin olive oil (VOO) samples were evaluated by six sensory panels during the H2020 OLEUM project. Sensory data were elaborated with two main objectives: (i) to classify and characterize samples in order to use them for possible correlations with physical–chemical data and (ii) to monitor and improve the performance of panels. After revision of the IOC guidelines in 2018, this work represents the first published attempt to verify some of the recommended quality control tools to increase harmonization among panels. Specifically, a new “decision tree” scheme was developed, and some IOC quality control procedures were applied. The adoption of these tools allowed for reliable classification of 289 of 334 VOOs; for the remaining 45, misalignments between panels of first (on the category, 21 cases) or second type (on the main perceived defect, 24 cases) occurred. In these cases, a “formative reassessment” was necessary. At the end, 329 of 334 VOOs (98.5%) were classified, thus confirming the effectiveness of this approach to achieve a better proficiency. The panels showed good performance, but the need to adopt new reference materials that are stable and reproducible to improve the panel’s skills and agreement also emerged.


1985 ◽  
Vol 68 (5) ◽  
pp. 921-924
Author(s):  
Dean F Hill

Abstract Although the overall quality assurance concepts and goals for pesticide formulation analysis are similar to those required of an environmental or trace level analysis laboratory, some important distinctions exist, particularly for quality control. Generally, target levels (label values) are known and pesticide identification can be assumed, thus minimizing the need for verification of pesticide identity and for detailed confirmation of quantitative results reasonably close to the label value. Exceptions are cross-contaminant screening and by-product analysis. Quality control efforts in the formulation laboratory are concentrated on those samples falling outside the established acceptance criteria. The use of official (AOAC/Collaborative International Pesticides Analytical Council (CIPAC)) methodology, replicate determinations, second analyst confirmation, and alternative methodology (if necessary) is stressed. Specific attention must also be paid to the quality and preparation of analytical reference standards.


1994 ◽  
Vol 77 (3) ◽  
pp. 785-789
Author(s):  
Miguel Valcárcel ◽  
Angel Ríos

Abstract After a brief introduction to the generic aspects of automation in analytical laboratories, the different approaches to quality in analytical chemistry are presented and discussed to establish the following different facets emerging from the combination of quality and automation: automated analytical control of quality of products and systems; quality control of automated chemical analysis; and improvement of capital (accuracy and representativeness), basic (sensitivity, precision, and selectivity), and complementary (rapidity, cost, and personnel factors) analytical features. Several examples are presented to demonstrate the importance of this marriage of convenience in present and future analytical chemistry.


2010 ◽  
Vol 5 (4) ◽  
pp. 1934578X1000500
Author(s):  
José G. Sena Filho ◽  
Haroudo S. Xavier ◽  
José M. Barbosa Filho ◽  
Jennifer M. Duringer

Essential oil extracts from the leaves of two Lantana species ( L. radula Sw. and L. canescens Kunth), for which no prior analysis has been reported, were analyzed by GC-MS. This information was utilized to propose chemical markers for Lantana species so that identification between physically similar plant species can be achieved through chemical analysis. Results showed 33 constituents for L. canescens, among which β-caryophyllene (43.9%), β-cubebene (10.1%), elixene (8.6%), β-phellandrene (6.1%), α-caryophyllene (2.6%) and dehydro-aromadendrene (2.6%) were the principle components. L. radula revealed the presence of 21 compounds, the most abundant of which were β-cubebene (31.0%), β-caryophyllene (20.8%), elixene (10.0%), α-salinene (6.4%), β-phellandrene (6.1%), copaene (4.9%) cadinene (1.4%) and psi-limonene (1.4%). The high concentration of β-caryophyllene in the samples tested here and those in the literature make it a good candidate for a chemical marker for Lantana species, with β-cubebene, elixene and β-phellandrene following as minor compounds identified more sporadically in this genus. On the other hand, Lippia species, which are morphologically similar to those from the Lantana genus, would contain limonene, citral, carvacrol, β-myrcene, camphor and thymol as the main chemical markers. These chemical markers would be a powerful tool for maintaining quality control in the extraction of essential oils for use in medicinal applications, as well as in identification of plant specimens to a taxonomist.


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