Discrimination of Eugenia uniflora L. biotypes based on volatile compounds in leaves using HS-SPME/GC–MS and chemometric analysis

Mesquita, Paulo Roberto Ribeiro; Nunes, Estéfane C.; Santos, Fábio Neves dos; Bastos, Lucimário Pereira; Costa, Maria Angélica Pereira de Carvalho; Rodrigues, Frederico de Medeiros; Andrade, Jailson B. de

doi:10.1016/j.microc.2016.08.005

Cited by 53 publications

(27 citation statements)

References 38 publications

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“…It was previously reported that PCA and HCA were able to distinguish genetic and environmental varieties effectively based on the volatile profiles. In this work, the ‘Huapi’ kumquat and ‘Eureka’ lemon production areas were discriminated using PCA and HCA, and their sampling sites showed that they had a very similar aroma quality, which supported the variability of production area …”

Section: Relationship Between Aroma‐active Compounds and Production Asupporting

confidence: 53%

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Tracing the production area of citrus fruits using aroma‐active compounds and their quality evaluation models

et al. 2019

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BACKGROUND Aroma is one of the most important aspects of fruit quality and can reflect the characteristics of different fruits. Aroma‐active compounds can usefully be employed to trace the production areas of two citrus cultivars (‘Eureka’ lemon and ‘Huapi’ kumquat) and to evaluate their aroma quality. RESULTS ‘Huapi’ kumquat peel displayed higher monoterpene and sesquiterpene compound content, whereas ‘Eureka’ lemon peel exhibited higher monoterpene and monoterpene aldehyde compound content. ‘Eureka’ lemon peel (‘Wanzhou’ cultivar) had higher nerol acetate and geraniol acetate compound content. Kumquat peel (‘Suichuan’ and ‘Rongan’ cultivars) had higher sesquiterpene content. In addition, 30 and 31 aroma‐active compounds were observed in kumquat and lemon, respectively, based on their odor activity values. Principal component analysis (PCA) and hierarchical clustering analysis (HCA) results indicated that classification for production areas based on aroma‐active compounds was useful. The selected aroma‐active compounds have been checked as aroma quality parameters that could be used with multivariate analysis to establish a model of aroma quality evaluation. Higher aroma quality values from kumquat and lemon were collected from Rongan and Wanzhou cultivars, respectively. CONCLUSION Aroma‐active compounds can be used to discriminate production areas using multivariate statistics. An objective method was established to evaluate the aroma quality of citrus fruits. ‘Huapi’ kumquat and ‘Eureka’ lemon, which had the highest aroma quality, was harvested from the Rongan and Wanzhou production areas. This was the first time that the aroma quality of citrus fruits was evaluated using multivariate analysis. © 2019 Society of Chemical Industry

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Section: Relationship Between Aroma‐active Compounds and Production Asupporting

confidence: 53%

“…In this work, the 'Huapi' kumquat and 'Eureka' lemon production areas were discriminated using PCA and HCA, and their sampling sites showed that they had a very similar aroma quality, which supported the variability of production area. [32][33][34]…”

Section: Relationship Between Aroma-active Compounds and Production Amentioning

confidence: 99%

Tracing the production area of citrus fruits using aroma‐active compounds and their quality evaluation models

et al. 2019

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“…Little is known on the effect of ripening stage on bergamot essential oil quality; consequently, an experiment with two varieties, Fantastico and Femminello, harvested at three different stages during the same season (2017/2018) was set up. The essential oil’s composition of volatile compounds was measured with solid‐phase microextraction (SPME) combined with gas chromatography/mass spectrometry (SPME‐GC/MS), a recognized analytical chromatographic technique suitable for this purpose, in order to evaluate the best ripening stage to enhance bergamot essential oil quality.…”

Section: Introductionmentioning

confidence: 99%

Effect of Harvesting Time on Volatile Compounds Composition of Bergamot (Citrus × Bergamia) Essential Oil

Marzocchi

Baldi

Crucitti

et al. 2019

Flavour & Fragrance J

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Bergamot (Citrus × bergamia) is mainly cultivated in Calabria area (Italy) for its essential oil that is widely used in cosmetics, food and medicine. The harvest season (November to February) affects the quality of essential oil, consequently the aim of our study was to evaluate the composition of volatile fractions at different harvesting stages. Two different cultivars, Femminello and Fantastico, were collected in November, December and January and their volatile compounds composition was determined by SPME GC/MS. Fourty‐two compounds were identified. Monoterpenes were the preponderant group; limonene was the most representative compound with similar concentrations in the varieties and at the three harvesting times. β‐Ocimene, β‐mircene and α‐terpinene showed higher concentration in Femminello than Fantastico, while trans‐α‐bergamotene, α‐pinene and citronellal were mostly concentrated in Fantastico. The concentration of β‐pinene in Fantastico and Femminello was higher in December and January, respectively, and γ‐terpinene concentration was higher in Femminello in November and January and in Fantastico in December. Linalool was the most preponderant monoterpene alcohol with a significantly higher concentration in Femminello than in Fantastico, but without significant differences during ripening. cis‐γ‐Bisabolene was the most preponderant sesquiterpene; it was more concentrated in Fantastico than in Femminello and showed a significantly higher concentration in December and January than in November. Linalyl and neryl acetate were the most abundant esters, with a significantly higher concentration in Fantastico. Fantastico seems to be the variety that produces higher volatile organic compounds in essential oil; moreover, the volatile compound concentration was higher at the second and third harvest time.

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“…VOCs are generally analysed by gas chromatography‐mass spectrometry (GC‐MS) coupled with conventional sampling approaches, that are particularly laborious, time consuming and may produce artefacts that will lead to an erroneous interpretation of the VOCs composition …”

Section: Introductionmentioning

confidence: 99%

“…19 VOCs are generally analysed by gas chromatography-mass spectrometry (GC-MS) [20][21][22][23] coupled with conventional sampling approaches, [24][25][26][27][28] that are particularly laborious, time consuming and may produce artefacts that will lead to an erroneous interpretation of the VOCs composition. 29 Headspace-solid phase microextraction (HS-SPME) is one of the simplest sample preparation approaches for GC or GC-MS. In fact, it combines extraction, concentration and clean-up into a single step.…”

Section: Introductionmentioning

confidence: 99%

Volatolomics approach by HS‐SPME‐GC‐MS and multivariate analysis to discriminate olive tree varieties infected by Xylella fastidiosa

Mentana

Camele

Mang

et al. 2019

Phytochemical Analysis

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Introduction Xylella fastidiosa (Xf) is a pathogenic bacterium that causes diseases in olive trees. Therefore, analytical methods for both the characterisation of the host/pathogen interaction and infection monitoring are needed. Volatile organic compounds (VOCs) are emitted by plants relate to their physiological state, therefore VOCs monitoring can assist in detecting stress or infection states before visible signs are present. Objective In this work, the headspace‐solid phase microextraction‐gaschromatography‐mass spectrometry (HS‐SPME‐GC‐MS) technique was used for the first time to highlight VOCs differences between healthy and Xf‐infected olive trees. Methodology VOCs from olive tree twig samples were extracted and analysed by HS‐SPME‐GC‐MS, and hence identified by comparing the experimental linear retention indexes with the reference values and by MS data obtained from NIST library. Data were processed by principal component analysis (PCA) and analysis of variance (ANOVA). Results The HS‐SPME step was optimised in terms of adsorbent phase and extraction time. HS‐SPME‐GC‐MS technique was applied to the extraction and analysis of VOCs of healthy and Xf‐infected olive trees. More than 100 compounds were identified and the differences between samples were evidenced by the multivariate analysis approach. The results showed the marked presence of methyl esters in Xf‐infected samples, suggesting their probable involvement in the mechanism of diffusible signal factor. Conclusion The proposed approach represents an easy and solvent‐free method to evaluate the presence of Xf in olive trees, and to evidence volatiles produced by host/pathogen interactions that could be involved in the defensive mechanism of the olive tree and/or in the infective action of Xf.

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Discrimination of Eugenia uniflora L. biotypes based on volatile compounds in leaves using HS-SPME/GC–MS and chemometric analysis

Cited by 53 publications

References 38 publications

Tracing the production area of citrus fruits using aroma‐active compounds and their quality evaluation models

Tracing the production area of citrus fruits using aroma‐active compounds and their quality evaluation models

Effect of Harvesting Time on Volatile Compounds Composition of Bergamot (Citrus × Bergamia) Essential Oil

Volatolomics approach by HS‐SPME‐GC‐MS and multivariate analysis to discriminate olive tree varieties infected by Xylella fastidiosa

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