Multivariate optimization and HS-SPME/GC-MS analysis of VOCs in red, yellow and purple varieties of Capsicum chinense sp. peppers

Sousa, Eliane Teixeira; Rodrigues, Frederico de Medeiros; Martins, Claudio; Oliveira, Fábio Santos de; Pereira, Pedro Afonso de Paula; Andrade, Jailson B. de

doi:10.1016/j.microc.2006.01.017

Cited by 82 publications

(37 citation statements)

References 19 publications

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“…In the Correspondence Analysis graph, the better dimensional representation of data explains 100% of the total variance, and the first axis discriminates the varieties BRS (51%), followed by terpenes (17%), alkanes (13%), alcohols (9%), cetones (7%), and fatty acids (3%). The predominance of volatile esters is in agreement with the results found in other varieties of C. chinense peppers by several authors, Sousa et al (2006), PINO et al (2007), Rodríguez-Burruezo et al (2010) and Bogusz Junior et al (2012). Table 2 shows the number of compounds and the respective total peak area corresponding to each chemical class.…”

Section: Sensory Analysissupporting

confidence: 89%

“…Sousa et al (2006) evaluated the volatile profile of red, yellow, and purple varieties of Brazilian Capsicum chinense sp. peppers.…”

Section: Methodsmentioning

confidence: 99%

“…The volatiles were extracted by headspace solid phase micro-extraction (HS-SPME) using conditions adapted from Sousa et al (2006) andBogusz Junior et al (2011). Ten grams of unfrozen fruits were placed in a 40 mL vial with PTFE/silicone septa without salt addition.…”

Section: Hs-spme Proceduresmentioning

confidence: 99%

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Volatile profile and sensory quality of new varieties of Capsicum chinense pepper

Garruti¹,

Pinto²,

Castro-Alves³

et al. 2013

Ciênc. Tecnol. Aliment.

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Section: Sensory Analysissupporting

confidence: 89%

“…Sousa et al (2006) evaluated the volatile profile of red, yellow, and purple varieties of Brazilian Capsicum chinense sp. peppers.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Volatile profile and sensory quality of new varieties of Capsicum chinense pepper

Garruti¹,

Pinto²,

Castro-Alves³

et al. 2013

Ciênc. Tecnol. Aliment.

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“…[33] [34]. Through this study, different parameters affecting the extraction procedure were optimized.…”

Section: Discussionmentioning

confidence: 99%

Optimization of Solid Phase Microextraction Procedure Followed by Gas Chromatography with Electron Capture Detector for Pesticides Butachlor and Chlorpyrifos

Ghavidel¹,

Shahtaheri²,

Jazani³

et al. 2014

AJAC

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In this study, headspace solid phase microextraction (HS-SPME) followed by gas chromatography using electron capture detection system (GC-ECD) were developed for the determination of chloraacetanilide (butachlor) and chlorpyrifos presented in biological samples. Different parameters affecting the extraction procedure were optimized including extraction time (30 minutes), extraction temperature (80˚C), sample volume (3 mL), sample pH (2), added NaCl (0.3 gram) and sample stirring rate (400 rpm). Different concentrations of 1 -100 ng/ml were applied for butachlor and a linear calibration curve was obtained. Furthermore, a similar linearity was obtained for chlorpyrifos, using a concentration range of 1 -250 ng/ml. The limit of detection (LOD) obtained for butachlor and chlorpyrifos were 0.088 and 0.53 ng/ml respectively. The optimized methods for both compounds were validated using two concentrations of 25 and 50 ng/ml in spiked urine samples. Obtained recoveries of spiked urine samples were 83.06% -99.8% with RSD of lower than 11%. Optimized technique was simple, inexpensive, solvent free and fast in comparison with other conventional methods and had compatibility with the chromatographic analytical system. This method offers low detection limits to analyze pesticides in urine samples that are very important * Corresponding author. F. Ghavidel et al. 536in the exposure monitoring in occupational health.

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“…Therefore, many methods have been employed for the analysis of volatiles in foods. These methods are generally divided into two classes: classical methods (distillation, solvent extraction) and clean methods such as solid-phase extraction (SPE), supercritical fluid extraction (SFE), headspace extraction (HSE) and solidphase microextraction (SPME) [9]. The most commonly used clean methods are SPME, SFE, and static and dynamic headspace extraction.…”

Section: Introductionmentioning

confidence: 99%

HS-SPME/GC-MS Analysis of VOC and Multivariate Techniques Applied to the Discrimination of Brazilian Varieties of Mango

Benevides¹,

Bezerra²,

Pereira³

et al. 2014

AJAC

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The present study analyzed the volatile compounds of three mango varieties (Tommy Atkins, Rosa and Espada) using the static headspace technique with SPME coupled to CG-MS. Multivariate methodologies, such as factorial design and response surface methodology, were used to optimize the conditions of adsorption and desorption of these substances. The data were evaluated by using principal components analysis (PCA) and hierarchical grouping analysis, in order to visualize grouping tendencies of volatile compounds. Thirty-seven volatile compounds belonging to different chemical classes, such as esters, terpenes, alcohols and others, were tentatively identified in the three varieties of mango. Amongst them, twenty-three presented chromatographic peaks with relative areas larger than 2%. The multivariate analysis made it possible to visualize the grouping tendencies of the mango samples, according to the presence of their respective volatile substances, and enabled the identification of the groups of substances responsible for the discrimination among the three varieties.

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Multivariate optimization and HS-SPME/GC-MS analysis of VOCs in red, yellow and purple varieties of Capsicum chinense sp. peppers

Cited by 82 publications

References 19 publications

Volatile profile and sensory quality of new varieties of Capsicum chinense pepper

Volatile profile and sensory quality of new varieties of Capsicum chinense pepper

Optimization of Solid Phase Microextraction Procedure Followed by Gas Chromatography with Electron Capture Detector for Pesticides Butachlor and Chlorpyrifos

HS-SPME/GC-MS Analysis of VOC and Multivariate Techniques Applied to the Discrimination of Brazilian Varieties of Mango

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