Optimized methodology for the simultaneous extraction of glucosinolates, phenolic compounds and antioxidant capacity from maca (Lepidium meyenii)

David Campos, Rosana Chirinos, Omar Barreto, Giuliana Noratto, ROMINA PAOLA PEDRESCHI PLASENCIA

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37 Scopus citations

Abstract

Maca is a highly appreciated Andean crop with multiple attributed health claims due to its assortment of bioactive compounds. The extraction parameters of glucosinolates (GLs), total phenolic compounds (TPC) and antioxidant capacity (AC) of maca (Lepidium meyenii) hypocotyls were optimized using response surface methodology (RSM). The effect of different extraction parameters: temperature (°C), liquid-to-solid ratio (ml/g), time (min) and ethanol concentration (%) on GLs, TPC and AC extraction yields were investigated using a Box-Behnken design (BBD) based on response surface methodology (RSM). Maximum yields of 16.4. μmol/g of dried matter (DM), 9.89. mg of gallic acid equivalents (GAE)/g of DM and 61.4. μmol of trolox equivalents (TE)/g were obtained at conditions of 47, 70 and 70. °C, liquid-to-solid ratio of 10, 16 and 10. ml/g, extraction time of 90, 30 and 48. min and ethanol concentration of 60%, 60% and 50%, for GLs, TPC and AC respectively. Optimal extraction conditions for the simultaneous extraction of GLs, TPC and AC determined by RSM were 70. °C, 10. ml/g, 90. min and 58% ethanol with extraction yields of 14.2. μmol/g of DM, 9.3. mg of GAE/g of DM and 56.9. μmol TE/g for GLs, TPC and AC respectively. Under these conditions, glucotropaeolin represented 79% of total GLs and catechins and gallocatechin derivatives represented 97% of total phenolics. The optimized conditions could be successfully employed by the Nutraceutical industry to extract bioactive compounds from maca flour.

Original languageEnglish
Pages (from-to)747-754
Number of pages8
JournalIndustrial Crops and Products
Volume49
DOIs
StatePublished - 1 Aug 2013

Keywords

  • Antioxidant capacity
  • Glucosinolates
  • Lepidium meyenii
  • Maca
  • Polyphenols
  • Response surface methodology

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