title: Optimization of ingredients for noodle preparation using response surface methodology.
abstract: In the present investigation, the composite flour combinations using whole wheat flour (X1), tapioca flour (X2) and defatted soy flour (X3) for the noodle preparation were made through central composite rotatable design (CCRD). The analyzed responses were bulk density (BD), proximate composition, water uptake ratio (WUR), cooking volume expansion (VE), water absorption capacity (WAC), swelling capacity (SC), gruel solid loss (GSL), and sensory characteristics. A second order quadratic polynomial equation was fitted to the data of all responses for prediction. The maximum protein content of 16 g% was achieved by the combination of 75.54 g of whole wheat flour, 10 g of tapioca flour and 19.78 g of defatted soy flour. Since the inclusion of defatted soy flour >10 g resulted negative influence on good quality determining responses, the Chinese salted noodles of excellent quality with maximum WAC, WUR, VE, SC, protein, carbohydrate, ash and minimum GSL, BD, fat, moisture could be made from ratio of combination of three independent variables at 77.33 g (X1): 22.19 g (X2): 8.92 g (X3) respectively. The cost of production per kg of noodles with optimum level of ingredient was Rs.75.50/-.
authors.affiliation: Department of Food Science, Periyar University, Salem, 636 011 Tamilnadu India.
authors.forename: T Poongodi
authors.initials: TP
authors.lastname: Vijayakumar
authors.affiliation: Department of Food Science, Periyar University, Salem, 636 011 Tamilnadu India.
authors.forename: P
authors.initials: P
authors.lastname: Boopathy
keywords: Central composite rotatable design (CCRD); Cost of production; Defatted soy flour; Noodles; Numerical optimization; Responses; Tapioca flour; Whole wheat flour
references.citation: Environ Manage. 2008 May;41(5):734-41
references.pmid: 17882479