Literature DB >> 30599983

Characterization of dried and freeze-dried sea fennel (Crithmum maritimum L.) samples with headspace gas-chromatography/mass spectrometry and evaluation of an electronic nose discrimination potential.

Pasquale Giungato1, Massimiliano Renna2, Roberto Rana3, Sabina Licen4, Pierluigi Barbieri4.   

Abstract

Processed samples (air-dried @ 40 and @ 60 °C and freeze-dried) of sea fennel (Crithmum maritimum L.), an autochthonous spice with interesting market potential, were analyzed by headspace gas-chromatography/mass spectrometry and classification capabilities of an electronic nose in discriminating between samples with stepwise forward statistics were evaluated as well. Freeze-drying process was the most preservative in terms of limiting darkening without compromising appearance of the final product, providing weight loss of about 85% and water activity below the limit for mold growth issues. Headspace analysis of samples highlighted the presence of 35 volatiles grouped as terpene hydrocarbons, oxygenated terpenes, sesquiterpen hydrocarbons, phenyl propanoids, not-terpenic aldehydes and not-terpenic ketones. Correlations emerged between selected sensors and some detected volatile organic compounds. Stepwise linear discriminant analysis and simple K-nearest neighbors obtained a 100% overall correct classification rate in cross-validation of the electronic nose in classifying samples, whereas stepwise quadratic discriminant analysis and Naive-Bayes gave 93.3%. The sea fennel could be a new interesting spice to launch in the food market and the electronic nose showed the potential to be used in monitoring the industrial process aimed at extending its shelf-life.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Color; Crithmum maritimum L.; Electronic nose; Gas-chromatography/mass spectrometry; Sea fennel; Stepwise selection of predictors; Water activity

Year:  2018        PMID: 30599983     DOI: 10.1016/j.foodres.2018.07.067

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  4 in total

1.  Detection of Salmonella Typhimurium contamination levels in fresh pork samples using electronic nose smellprints in tandem with support vector machine regression and metaheuristic optimization algorithms.

Authors:  Ernest Bonah; Xingyi Huang; Yang Hongying; Joshua Harrington Aheto; Ren Yi; Shanshan Yu; Hongyang Tu
Journal:  J Food Sci Technol       Date:  2020-10-16       Impact factor: 3.117

Review 2.  Progress of Research on the Application of Nanoelectronic Smelling in the Field of Food.

Authors:  Junjiang Sha; Chong Xu; Ke Xu
Journal:  Micromachines (Basel)       Date:  2022-05-18       Impact factor: 3.523

3.  Metabolomic Fingerprinting and Molecular Characterization of the Rock Samphire Germplasm Collection from the Balkan Botanic Garden of Kroussia, Northern Greece.

Authors:  Kalliopi Kadoglidou; Maria Irakli; Anastasia Boutsika; Ifigeneia Mellidou; Nikolas Maninis; Eirini Sarrou; Vasiliki Georgiadou; Nikolaos Tourvas; Nikos Krigas; Theodoros Moysiadis; Katerina Grigoriadou; Eleni Maloupa; Aliki Xanthopoulou; Ioannis Ganopoulos
Journal:  Plants (Basel)       Date:  2022-02-21

4.  Energy Consumption, Colour, Texture, Antioxidants, Odours, and Taste Qualities of Litchi Fruit Dried by Intermittent Ohmic Heating.

Authors:  Xiaohuang Cao; Md Nahidul Islam; Wanxiu Xu; Jianping Chen; Bimal Chitrakar; Xuejing Jia; Xiaofei Liu; Saiyi Zhong
Journal:  Foods       Date:  2020-04-03
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.