Literature DB >> 27449561

Development of a stir bar sorptive extraction method for the determination of volatile compounds in orange juices.

Carla Herrera1, Remedios Castro1, Carmelo García-Barroso1, Enrique Durán-Guerrero2.   

Abstract

A stir bar sorptive extraction method for the determination of volatile compounds in orange juices was developed. The extraction variables were optimized using a reduced two-level factorial screening design (2(5-1) ), and the most suitable analytical conditions for the extraction of the studied compounds were: sample volume 10 mL, extraction time 60 min, stirring speed 1800 rpm, NaCl amount 30% (weight/volume), and twister length 10 mm. The optimized method was further validated, obtaining good linearity and detection and quantification limits low enough to correctly determine the studied compounds. As well, for most of the studied compounds precision and recovery values were good. Several orange juice samples (squeezed and commercial) were extracted following the optimized extraction method and analyzed by gas chromatography coupled to mass spectrometry detection. The method has proven to be suitable for the determination of the aroma of orange juice, of which limonene was the major volatile compound in all the studied samples.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Extraction optimization; Orange juice; Stir bar sorptive extraction; Volatile compounds

Mesh:

Substances:

Year:  2016        PMID: 27449561     DOI: 10.1002/jssc.201600590

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  2 in total

1.  Analysis of biogenic carbonyl compounds in rainwater by stir bar sorptive extraction technique with chemical derivatization and gas chromatography-mass spectrometry.

Authors:  Xiaobing Pang; Alastair C Lewis; Marvin D Shaw
Journal:  J Sep Sci       Date:  2016-12-29       Impact factor: 3.645

Review 2.  Floral Scents and Fruit Aromas: Functions, Compositions, Biosynthesis, and Regulation.

Authors:  Salma Mostafa; Yun Wang; Wen Zeng; Biao Jin
Journal:  Front Plant Sci       Date:  2022-03-10       Impact factor: 5.753

  2 in total

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