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首页> 外文期刊>Food Chemistry >The mineral composition (Ca, P, Mg, K, Na) in cheeses (cow's, ewe's and goat's) with different ripening times using near infrared spectroscopy with a fibre-optic probe
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The mineral composition (Ca, P, Mg, K, Na) in cheeses (cow's, ewe's and goat's) with different ripening times using near infrared spectroscopy with a fibre-optic probe

机译:使用具有光纤探针的近红外光谱技术,具有不同成熟时间的奶酪(牛,母羊和山羊)中的矿物质成分(钙,磷,镁,钾,钠)

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摘要

The results of this work show that it is possible to rapidly quantify calcium, phosphorus, magnesium, potassium and sodium in unknown cheeses elaborated with percentages (0-100%) of milk from different species (cow, ewe, goat) by direct application of the fibre-optic probe on the sample without previous destruction or treatment of the sample. Of the total number of samples, 170 were used to develop the calibration models using the Modified Partial Least Squares (MPLS) regression method and 57 samples were used for external validation. The multiple correlation coefficients (RSQ) and prediction corrected standard errors (SEP (C)) obtained for calcium (0.74, 0.64), phosphorus (0.69, 0.29), potassium (0.86, 0.13), and sodium (0.92, 0.71) in g/kg respectively and magnesium (0.72, 30.9) in ppm, indicated that the models developed allow the determination of Ca, P, K, Na and Mg in unknown samples of cheeses of varying compositions up to 6 months of ripening.
机译:这项工作的结果表明,可以直接定量使用不同种类(牛,母羊,山羊)的牛奶中百分比(0-100%)制作的未知奶酪中的钙,磷,镁,钾和钠进行快速定量。无需事先破坏或处理样品的光纤探头。在样本总数中,有170个样本使用改进的偏最小二乘(MPLS)回归方法开发了校准模型,并且有57个样本用于外部验证。以g为单位的钙(0.74,0.64),磷(0.69,0.29),钾(0.86,0.13)和钠(0.92,0.71)的多重相关系数(RSQ)和预测校正的标准误差(SEP(C))分别为/ kg和镁(0.72,30.9),以ppm为单位,表明开发的模型可以测定直至成熟6个月的各种成分的奶酪的未知样品中的Ca,P,K,Na和Mg。

著录项

  • 来源
    《Food Chemistry》 |2011年第1期|p.147-152|共6页
  • 作者单位

    Departamento de Quimica Analltica, Nucricion y Bromatohgia, Facultad de Ciencias Quimicas, C/Plaza de la Merced s, 37008 Salamanca, Espafia, Spain;

    Departamento de Quimica Analltica, Nucricion y Bromatohgia, Facultad de Ciencias Quimicas, C/Plaza de la Merced s, 37008 Salamanca, Espafia, Spain;

    Area de Tecnologia de los Alimentos de la Universidad de Salamanca en Zamora, Spain;

    Area de Tecnologia de los Alimentos de la Universidad de Salamanca en Zamora, Spain;

    Departamento de Quimica Analltica, Nucricion y Bromatohgia, Facultad de Ciencias Quimicas, C/Plaza de la Merced s, 37008 Salamanca, Espafia, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mineral composition; cheeses; near infrared spectroscopy; determination;

    机译:矿物成分奶酪近红外光谱判定;

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