New Methods for Comparing the Biological Efficiency of Alternate Nutrient Sources

Mercer, L. Preston; Flodin, Nestor W.; Morgan, Page W.

doi:10.1093/jn/108.8.1244

Cited by 46 publications

(20 citation statements)

References 1 publication

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“…For the relative bioavailability analysis, body weight gain, femur weight and femur zinc contents were analyzed by means of mathematical models previously described elsewhere [8,12]. Briefly, group 1 with the diet containing 2 ppm of zinc was taken as a basal group for calculations, and then each source was separately analyzed taken into account the increasing in zinc dietary concentrations.…”

Section: Mathematical Models and Statistical Analysis Of The Resultsmentioning

confidence: 99%

“…(1), (one for each source) as a result from a nonlinear regression analysis. Parameters provided for the calculated curves and the relative zinc bioavailability (RBZ) [12], are shown in Table 2. It can be noted that the maximum body weight gain (Y max for body weight gain) is higher for those animals fed with BZ (62.66 g) compared to those fed with SZ (55.65 g).…”

Section: Resultsmentioning

confidence: 99%

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Relative Bioavailability of Zinc in Yogurt Using Body Weight Gain, Femur Weight and Bone Zinc Content in Rats as Markers

Tesan¹,

Collia²,

Arnoldi³

et al. 2009

TONUTRAJ

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Abstract:Objective: some previous works have shown the importance of zinc in nutrition, and even evaluated different zinc sources for food supplementation with this micronutrient. The aim of this work was to evaluate zinc gluconate stabilized with glycine (BZ) as a zinc source for food fortification by employing yogurt as the vehicle and zinc sulfate (SZ) as the standard zinc source. Materials and methods: weaned Sprague Dawley rats were separated in 7 groups of 10 rats each, which were fed with diets according to the scheme: Group 1-2ppm Zn; Groups 2, 3 and 4 -9, 20 and 34 ppm Zn as SO 4 Zn.7H 2 O (SZ) and Groups 5, 6 and 7 -9, 20 and 34 ppm Zn as zinc gluconate stabilized with glycine (BZ) during 21 days. Zinc sources were provided in a vehicle as yogurt, added in the final diet at 10%. Body weight gain, femur weight and femur zinc content were evaluated at the end of the treatments in order to determine zinc bioavailability, as previously described by others. In this way, body weight gain and femur weight were analyzed by a non linear regression according to equation: Y = Ymax (1-e (-kX) ) and femur zinc content was analyzed by a linear regression, all of them as a function of dietary zinc from each source. Results: relative zinc bioavailability of BZ was 0.95; 0.95 and 1.10 according to body weight gain, femur weight and femur zinc content, respectively. Conclusion: zinc gluconate stabilized with glycine may be considered as a suitable source of zinc for food fortification in a yogurt matrix.

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Section: Mathematical Models and Statistical Analysis Of The Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Relative Bioavailability of Zinc in Yogurt Using Body Weight Gain, Femur Weight and Bone Zinc Content in Rats as Markers

Tesan¹,

Collia²,

Arnoldi³

et al. 2009

TONUTRAJ

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“…Correlation coefficients were calculated to asses the relations between the slope and plateau values in the linear model. In addition to the linear‐plateau and quadratic‐plateau models, exponential (Morris, 1999), saturation kinetics (Mercer et al 1978) and four‐parameter logistic (Gahl et al., 1991) models were fitted to the sets of all data from each experiment using the NLIN procedure of SAS. The models are defined as follows: where NR max is the maximum response (upper asymptote) and b , c , k and n are constants.…”

Section: Methodsmentioning

confidence: 99%

Individual response of growing pigs to sulphur amino acid intake

Heger

Křížová²,

Šustala³

et al. 2007

Animal Physiology Nutrition

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Two N balance experiments were conducted to study the individual response of growing pigs to limiting amino acid (AA) intake. Series of fifteen diets with increasing concentration of sulphur amino acids (SAA, Expt 1) or methionine in the presence of excess cystine (Expt 2) were fed sequentially to nine pigs during a 15-day experimental period. The concentration of the AA under test ranged from 50% to 140% of the requirement while other essential AA were given in a 25% excess relative to the limiting AA. N retention was related to the limiting AA intake using rectilinear and curvilinear models. In Expt 1, the quadratic-plateau model fitted the individual data significantly better (p = 0.01) than the linear-plateau model. No difference was found between the two models in Expt. 2, presumably due to the sparing effect of excess cystine on methionine utilization. Exponential, saturation kinetics or four-parameter logistic models fitted to data for all pigs showed that their goodness of fit was similar to those of quadratic-plateau or linear-plateau models. Significant differences (p < 0.05) were found between individual plateau values for N retention within each experiment while the slopes of the regression lines did not significantly differ either in Expt 1 (p = 0.07) or Expt 2 (p = 0.45). There was a positive correlation between the slope and plateau values of the linear-plateau model in Expt 1 (r = 0.74, p = 0.02) but no significant correlation was found in Expt 2 (r = -0.48, p = 0.13). Marginal efficiencies of SAA and methionine utilization derived from the linear-plateau model were 0.43 and 0.65 respectively. Based on linear-plateau and quadratic-plateau models, daily requirements of SAA and methionine for a 50 kg pig were estimated to be 13.0 and 5.9 g and 14.3 and 6.1 g respectively.

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“…Correlation coefficients were calculated to asses the relations between the slope and plateau values in the linear model. In addition to the linearplateau and quadratic-plateau models, exponential, saturation kinetics (Mercer et al, 1978) and four-parameter logistic (Gahl et al, 1991) where: NR max is the maximum response (upper asymptote) and b, c, k and n are constants. The goodness of fit of the models was evaluated by means of R-squared statistic.…”

Section: Calculations and Statistical Analysismentioning

confidence: 99%

Assessment of statistical models describing individual and group response of pigs to threonine intake

Heger¹,

Křížová²,

Šustala³

et al. 2007

J. Anim. Feed Sci.

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A nitrogen balance experiment was conducted to study the individual and group response of growing pigs to threonine (Thr) intake. A series of fifteen purified diets with increasing concentration of Thr was fed sequentially to nine pigs during a 15-d experimental period. The concentration of Thr ranged from 50 to 140% of its assumed requirement while other essential amino acids were given in a 25 % excess. N retention was related to Thr intake using rectilinear and curvilinear models. The quadratic-plateau model fitted the individual data significantly better (P=0.02) than the linear-plateau model. The R 2 statistic indicated that the group response of pigs to Thr intake was better described by the linear-plateau and quadratic-plateau models than by exponential, saturation kinetics or four-parameter logistic models. Significant differences (P=0.004) were found between individual plateau values in the linear-plateau model while the slopes of the regression lines did not differ. No significant correlation was found between the slope and plateau or breakpoint values of the linear-plateau model. Marginal efficiency of Thr utilization derived from the linear-plateau model was 0.67. In the quadratic-plateau model, marginal efficiency of Thr utilization was dependent on Thr intake and ranged from 0.77 (50% of requirement) to 0.42 (100% of requirement). Based on linear-plateau and quadratic-plateau models, daily requirement of Thr for a 45 kg pig was calculated to be 11.5 and 12.1 g, respectively.

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New Methods for Comparing the Biological Efficiency of Alternate Nutrient Sources

Cited by 46 publications

References 1 publication

Relative Bioavailability of Zinc in Yogurt Using Body Weight Gain, Femur Weight and Bone Zinc Content in Rats as Markers

Relative Bioavailability of Zinc in Yogurt Using Body Weight Gain, Femur Weight and Bone Zinc Content in Rats as Markers

Individual response of growing pigs to sulphur amino acid intake

Assessment of statistical models describing individual and group response of pigs to threonine intake

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