1986
DOI: 10.1002/jhrc.1240090205
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Application of chemometrics to the classification of orange essence oil varieties by GLC

Abstract: SummaryOrange essence oils of the Navel and Valencia variety were analyzed by GC and G U M S using two parallel capillarycolumns of different selectivity. Data were normalized, converted into a computer compatible format, and transferred via an asynchronous communications interface to a mainframe computer for statistical treatment, using the chemometrics software package ARTHUR. After suitable preprocessing of the raw data, reliable classificationwas possible. It appears that foursubstances which are present i… Show more

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Cited by 12 publications
(6 citation statements)
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“…Concerning bitter orange essential oil (EO), coldpressed orange peel oil and orange essence oil have not been well characterized in the past few decades because of unsuitable methods for routine quality control analysis [10] or unknown compounds [11]. In particular, Mayfield et al [11] implemented a computational profiling method to treat chromatographic data of bitter and sweet orange peel oils and orange essence. In this way the authors succeeded in identifying four main constituents that are important in classifying samples: (E)-2-hexenal, terpinene-4-ol, a polyunsaturated hydrocarbon and a dicyclic sesquiterpenoid.…”
Section: Introductionmentioning
confidence: 99%
“…Concerning bitter orange essential oil (EO), coldpressed orange peel oil and orange essence oil have not been well characterized in the past few decades because of unsuitable methods for routine quality control analysis [10] or unknown compounds [11]. In particular, Mayfield et al [11] implemented a computational profiling method to treat chromatographic data of bitter and sweet orange peel oils and orange essence. In this way the authors succeeded in identifying four main constituents that are important in classifying samples: (E)-2-hexenal, terpinene-4-ol, a polyunsaturated hydrocarbon and a dicyclic sesquiterpenoid.…”
Section: Introductionmentioning
confidence: 99%
“…A later study on orange essence oils made use of multivariate statistical and pattern recognition techniques (chemometrics) available in the ARTHUR chemometrics program to classify 45 samples (2). In that study, 24 Valencia orange essence oils and 21 navel orange essence oils were separated correctly into two distinct classes.…”
mentioning
confidence: 99%
“…Auf der Basis der Ergebnisse können die Tabake folgendermaßen unterschieden werden: typischer aromatischer full-flavour Virginia (Virginia 330), typischer weniger aromatischer full-flavour Virginia (Virginia 0454); untypischer (Typ Fülltabak) Virginia (Virginia 42 (15). Chemometrics, including pattern recognition methods (PRM) has been introduced for estimation of a range of quality characters, such as aroma, taste, flavor, etc., and is applied in the practice for quality assessment of essential oils, olive oils, fruits, wine (3,6,7,16,17), as well as for medical diagnostics (10). Few data (12) however (dealing exclusively with aroma but not with color) are available on application of PRM in tobacco.…”
Section: Zusammenfassungmentioning
confidence: 99%