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Optimization of lipophilic compounds in tortillas from native pigmented maize elaborated by the lime cooking extrusion process
Author(s) -
Saraid Mora Rochín,
Mariela MenchacaArmenta,
Ada Keila MilánNoris,
Janet A. Gutiérrez-Uribe,
Edith Oliva Cueva-Rodríguez,
Cuauhtémoc Reyes-Moreno,
Jorge Milán-Carrillo
Publication year - 2021
Publication title -
biotecnia
Language(s) - English
Resource type - Journals
ISSN - 1665-1456
DOI - 10.18633/biotecnia.v23i2.1392
Subject(s) - lime , response surface methodology , extrusion , stigmasterol , campesterol , food science , pulp and paper industry , mathematics , materials science , chemistry , composite material , chromatography , engineering , biochemistry , metallurgy , sterol , cholesterol
The lime-cooking extrusion process depicts emerging technologies to making maize tortillas with the advantages of reducing energy, little water use, and not environmental deletions effluents. Multi-response optimization by response surface methodology (RSM) was a tool to optimize native pigmented maize lime-cooking extrusion process to obtain flours to develop tortillas with high lipophilic compounds. The effects of extrusion temperature (ET, 65–135 ºC) and screw speed (SS, 78–212 rpm) were investigated. The best extruded blue maize tortillas were selected over response variables: Linoleic acid (LA), Oleic acid (OA), Campesterol (CP), Stigmasterol (SP), and b-sitosterol (bSP), where the quadratic predictive developed models were adequate and reproducible inside the specied array of process factors. Appling desirability function, the optimum lime-cooking extrusion conditions to development extruded blue maize tortillas correspond to ET (119 °C), SS (78 rpm) and a global desirability value (D = 0.906). Values response variables obtained from the predictive models were compared from experimental tests, a close agreement between both values was observed. Hence, RSM is still convenient for optimization, particularly once used in mixture with other procedures.

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