resumo
Linoleic acid was converted into hydroperoxides by a Gaeumannomyces graminis tritici lipoxygenase produced recombinantly in Trichoderma reesei. Hydroperoxide production was optimized using a face-centred experimental design in order to study the effects of pH, temperature and time on the conversion of linoleic acid into four regioisomeric hydroperoxyoctadecadienoic acids (HPODE): 13-(Z,E)-, 9-(E,Z)-, 13-(E,E)-, 9-(E,E)-HPODE. Fitting equations described satisfactorily the system behavior and showed that reaction time was the most influencing independent variable. A set of independent variables (pH = 6.7, temperature = 23.9 degrees C and time = 18 h) allowed to obtain high yields of hydroperoxides (88.0%) with a good selectivity for the 13-(Z,E)-HPODE isomer (47.4%) when the initial substrate concentration was 10 g/L. The production was further investigated using industrially relevant linoleic acid concentrations (100-300 g/L) leading to HPODE yields of similar to 40% and the volumetric productivity 3.6 g/(L h), and a selectivity for 13-(Z,E)-HPODE of around 74%. (c) 2012 Elsevier B.V. All rights reserved.
palavras-chave
UNSATURATED FATTY-ACIDS; SOYBEAN LIPOXYGENASE; IMMOBILIZED LIPOXYGENASE; MANGANESE LIPOXYGENASE; MASS-SPECTROMETRY; OXIDATION; IDENTIFICATION; SYSTEM; STATE; OIL
categoria
Engineering
autores
Villaverde, JJ; van der Vlist, V; Santos, SAO; Haarmann, T; Langfelder, K; Pirttimaa, M; Nyyssola, A; Jylha, S; Tamminen, T; Kruus, K; de Graaff, L; Neto, CP; Simoes, MMQ; Domingues, MRM; Silvestre, AJD; Eidner, J; Buchert, J
nossos autores
Projectos
agradecimentos
The authors gratefully acknowledge the financial support provided by the European Research Project (Novel enzyme tools for production of functional oleochemicals from unsaturated lipids (ERA-NOEL), ERA-IB/BIO/0001/2008), CICECO (Pest-C/CTM/LA0011/2011) and QOPNA (PEst-C/QUI/UI0062/2011). Juan Jose Villaverde and Sonia A.O. Santos also thank FCT-Fundacao para a Ciencia e a Tecnologia for the awarding of a postdoctoral grant (BPD/UI89/4520/2009) and a Ph.D. Grant (SFRH/BD/42021/2007), respectively. Martti Alkio is thanked for the GPC analyses.