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Physicochemical properties and relative bioavailability of five sources of ferric orthophosphate in ready-to-eat cereal.

机译:即食谷物中五种正磷酸铁来源的理化性质和相对生物利用度。

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摘要

Ferric orthophosphate (FePO4) is a promising iron source for food fortification because of its light color and oxidative stability. However, FePO4 has had limited use in cereal due its variable and often reported low bioavailability. An understanding of the mechanisms underlying this variability may facilitate production of a FePO4 source with consistent bioavailability. The bioavailability of iron sources used for fortification is thought to be largely dependent on their solubility in the dilute HCl in the stomach. Solubility is dependent on a combination of physicochemical properties, such as chemical composition, particle size, surface area and crystal structure. This research determined the relative bioavailability values (RBV) of two (control food) hydrogen-reduced iron sources (Sources 2 and 3) and six commercially available FePO4 sources (Sources 4--9) in ready-to-eat cereal (45% RDA, 0.27--0.30 mg iron/g cereal) using the AOAC Rat Hemoglobin Repletion Bioassay (ferrous sulfate standard, RBV 100%). The solubility of the iron sources in dilute HC1 was measured in vitro over the range of normal physiological HCl concentrations (0.02, 0.05 and 0.1N) using the solubility method of Shah and others (1977) that was modified to decrease assay variability (CV 1%). Regression analysis found it to be a good predictor of RBV, R2 90%; P = 0.008). Particle size distributions (PSD) and surface areas (SA) were measured by laser light diffraction and nitrogen absorption, respectively.;The RBVs for the FePO4 sources ranged from 51--99 ( P 0.05) and was higher than that reported in the literature. Most of the PSDs were multimodal and the sources could be grouped into three statistically different distributions (P 0.05). The first group had a uniform PSD (Median PS 16.5 mum) and the lowest RBVs (51 & 60%); The second group was composed of a bimodal PSD of fine particles (Median PS 2 mum) and intermediate RBVs (78 & 83%), and the remaining Source 4 (RBV 99%) had a broad bimodal PSD (Median PS 9 mum) with one mode composed of larger 50 mum particles and the second mode composed of fine 6 mum particles. Regression analysis of PS and SA were found to partially explain the variable RBV of FePO4.;In an effort to further explain the variability of RBV, the presence of amorphous microstructure was investigated. Amorphous content is known to have important mechanistic properties that affect the moisture absorption, reactivity and stability of many materials. Very little data on the amorphous content of ferric orthophosphate exists in the literature. Dynamic gravimetric vapor sorption was used to estimate the amount of amorphous content (by moisture uptake). A regression model of median particle size and moisture uptake versus solubility in 0.10 N HCl was found to be an excellent predictor of solubility (R2 91%; P = 0.001). In conclusion, two factors, mean particle size and moisture uptake (as determined by amorphous content) were found to influence the solubility of FePO4, which may help explain the variable RBV in the literature.
机译:正磷酸铁(FePO4)具有浅色和氧化稳定性,是用于食品强化的有前途的铁源。但是,FePO4由于其可变性而在谷物中的使用受到限制,并且经常报告其生物利用度较低。对这种变异性的潜在机制的理解可能有助于生产具有一致生物利用度的FePO4源。据认为,用于强化的铁源的生物利用度在很大程度上取决于它们在胃中稀盐酸中的溶解度。溶解度取决于物理化学性质的组合,例如化学组成,粒度,表面积和晶体结构。这项研究确定了即食谷物(45%)中两种(对照食品)氢还原铁源(来源2和3)和六种市售FePO4来源(来源4--9)的相对生物利用度值(RBV)。使用AOAC大鼠血红蛋白补充生物测定法(硫酸亚铁标准品,RBV 100%)的RDA,0.27--0.30 mg铁/ g谷物。使用Shah等人(1977年)的溶解度方法对铁源在稀HCl中的溶解度进行了体外测定,浓度范围为正常生理HCl浓度(0.02、0.05和0.1N),并对其进行了改进以降低测定变异性(CV < 1%)。回归分析发现它可以很好地预测RBV,R2为90%。 P = 0.008)。分别通过激光衍射和氮吸收来测量粒度分布(PSD)和表面积(SA).FePO4源的RBV在51--99之间(P <0.05),并且高于RPOs中报道的值。文献。多数PSD是多峰的,其来源可分为三个统计学上不同的分布(P <0.05)。第一组具有统一的PSD(中位数PS为16.5妈妈)和最低的RBV(分别为51%和60%);第二组由细颗粒(中位数PS 2妈妈)和中间RBV(78%和83%)的双峰PSD组成,其余的源4(RBV 99%)具有宽的双峰PSD(中位数PS 9妈妈),其中一种模式由较大的50个粒子组成,第二种模式由6个细粒子组成。发现PS和SA的回归分析部分地解释了FePO4的RBV变量。为了进一步解释RBV的变异性,研究了非晶态微观结构的存在。众所周知,非晶含量具有重要的机械性能,这些性能会影响许多材料的吸湿性,反应性和稳定性。文献中关于正磷酸铁的无定形含量的数据很少。使用动态重量蒸气吸附法来估算非晶态含量(通过水分吸收)。发现中值粒径和水分吸收与在0.10 N HCl中的溶解度的回归模型是溶解度的极佳预测指标(R2 91%; P = 0.001)。总之,发现平均粒径和水分吸收(由无定形含量决定)这两个因素会影响FePO4的溶解度,这可能有助于解释文献中的RBV变量。

著录项

  • 作者

    Malone-Dickmann, Robin Sue.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Agriculture Food Science and Technology.;Chemistry Agricultural.;Health Sciences Nutrition.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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