Food and Bioprocess Technology

, Volume 7, Issue 6, pp 1656–1669 | Cite as

Use of Multi-response Modelling to Investigate Mechanisms of β-Carotene Degradation in Dried Orange-Fleshed Sweet Potato During Storage: from Carotenoids to Aroma Compounds

  • Nawel AchirEmail author
  • Caroline Pénicaud
  • Aurélie Bechoff
  • Renaud Boulanger
  • Manuel Dornier
  • Claudie Dhuique-Mayer
Original Paper


In order to give insight into β-carotene degradation mechanism during the storage of dried orange-fleshed sweet potato, and particularly into the role of isomers and norisoprenoids formation, multi-response kinetic modelling was applied. Determination of degradation compounds were carried out by HPLD-DAD and SPME-GC-MS as a function of time between 10 and 40 °C and at four water activities from 0.13 to 0.76. Kinetic modelling was developed assuming first-order reactions and by using mass balance. Eight compounds, namely, two isomers (9-cis- and 13-cis-β-carotene), two β-carotene epoxides (β-carotene 5,6 and 5,8 epoxide) and four volatile compounds (β-cyclocitral, β-ionone, 5,6-epoxy-β-ionone and dihydroactinidiolide), were integrated into two theoretical reaction schemes. The different models were discriminated according to goodness of fit to experimental data. This work showed that: (1) the formation of cis-isomers from β-carotene preceded oxidation, (2) β-cyclocitral arose directly from β-carotene scission while the other norisoprenoids resulted from β-carotene epoxide degradation, (3) cis-isomers were high reactive compounds. Temperature had a major influence on reaction rates k while water activities only impacted k at values under 0.51. Therefore, multi-response modelling is not only a tool to predict β-carotene degradation but a interesting way to select the appropriate degradation scheme based on the different options presented in literature.


Multi-response modelling Reaction scheme Isomers Norisoprenoids β-carotene epoxides Rate constant 



The authors thank HarvestPlus and DESI-funding from CIRAD for supporting the PhD thesis that generated the data that were used for this mathematical modelling. The views expressed are however those of the authors.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Nawel Achir
    • 1
    Email author
  • Caroline Pénicaud
    • 2
    • 3
  • Aurélie Bechoff
    • 4
  • Renaud Boulanger
    • 1
  • Manuel Dornier
    • 1
  • Claudie Dhuique-Mayer
    • 1
  1. 1.UMR 95 QualiSud (CIRAD, Montpellier SupAgro, Montpellier 1, Montpellier 2)Montpellier Cedex 5France
  2. 2.INRA, UMR782 Génie et Microbiologie des Procédés AlimentairesThiverval GrignonFrance
  3. 3.AgroParisTech, UMR782 Génie et Microbiologie des Procédés AlimentairesThiverval GrignonFrance
  4. 4.Natural Resources Institute (NRI)University of GreenwichChathamUK

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