Patrick Melvin Barclay

Barclay, Andrew

doi:10.1136/bmj.d481

Cited by 1 publication

(2 citation statements)

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“…ANOVA (Table 03) indicated strong significant (P < 0.05) effect of calcium carbonate (X2) on the calcium concentration of the soymilk. None of the interaction visualized (Figure 03 and 04) between any two of three variables contributed significantly (p ≤ 0.05) to calcium increase (Table 03) indicating calcium stability and compatibility with other fortificants and soymilk components, hence product stability (Barclay, 2011). Besides, calcium carbonate was not heat labile (Onwuka, 2005).…”

Section: Calcium Contentmentioning

confidence: 99%

“…Lack of stabilizer may likely have permitted negligible interactions (Table 03) between calcium and heat denatured soy protein thereby making some of the calcium unavailable for evaluation. Stabilizer works best with calcium fortification by suspending the insoluble calcium and minimize proteincalcium interaction and sedimentation (Rafferty et al, 2007).This may have affected the response results (Barclay, 2011). Iron may have metabolized protein to prevent their interaction with calcium (Fallon & Enig, 2007).…”

Section: Calcium Contentmentioning

confidence: 99%

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Micronutrient evaluation of fortified soymilk from sprouted whole soybean for complementary feeding using response surface methodology

Okwunodulu¹,

Iwe²

2015

J. mol. stud. med. res.

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Soymilk from TGX 923-2E soybean variety sprouted for 72hrs after 12 hours tap steeping was fortified with ferric ammonium citrate (Fe), calcium (Ca) and vitamin C (VC) according to Box-Wilson (1951) experimental design matrix. A central composite rotatable response surface design(CCRRSD) for K = 3 was employed to examine the linear, quadratic and cross product effects of independent process variable concentrations at 5 levels, Fe (1, 2, 3, 4 and 5mg/100ml), Ca (50, 100, 150, 200, and 250mg/100ml) and VC (8, 16, 24, 32 and 40mg/100ml) on the nutrient density of fortified soymilk stored at ambient temperature for 12 weeks. A total of 21 experimental runs were generated and the response surface data for each run were statistically regressed and analyzed for variance using Minitab computer software (version 11.21). Three-dimensional response surface figures were plotted with Matlab software (version R 2007b) to visualize the effects of fortificants variables on the responses. Results obtained showed that all the fortificants were significantly (p ≤ 0.05) linearly related to their respective responses. None of the response micronutrient met the respective RDI per serving except samples with variable combinations 2, 100, 32; 2, 200, 32; 4, 200, 32 and 3, 150, 40mg/100ml for ferric ammonium citrate, calcium carbonate and vitamin C respectively.

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Section: Calcium Contentmentioning

confidence: 99%

Section: Calcium Contentmentioning

confidence: 99%