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A Triple Functional Approach To Simultaneously Determine the Type, Concentration, and Size of Titanium Dioxide Particles

机译:同时确定二氧化钛颗粒类型,浓度和尺寸的三重功能方法

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摘要

The large-scale manufacturing and use of titanium dioxide (TiO_(2)) particles in food and consumer products significantly increase the likelihood of human exposure and release into the environment. We present a simple and innovative approach to rapidly identify the type (anatase or rutile), as well as to estimate, the size and concentration of TiO_(2) particles using Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS). The identification and discrimination of rutile and anatase were based on their intrinsic Raman signatures. The concentration of the TiO_(2) particles was determined based on Raman peak intensity. Particle sizes were estimated based on the ratio between the Raman intensity of TiO_(2) and the SERS intensity of myricetin bound to the nanoparticles (NPs), which was proven to be independent of TiO_(2) nanoparticle concentrations. The ratio that was calculated from the 100 nm particles was used as a cutoff value when estimating the presence of nanosized particles within a mixture. We also demonstrated the practical use of this approach when determining the type, concentration, and size of E171: a mixture that contains TiO_(2) particles of various sizes which are commonly used in many food products as food additives. The presence of TiO_(2) anatase NPs in E171 was confirmed using the developed approach and was validated by transmission electron micrographs. TiO_(2) presence in pond water was also demonstrated to be an analytical capability of this method. Our approach shows great promise for the rapid screening of nanosized rutile and anatase TiO_(2) particles in complex matrixes. This approach will strongly improve the measurement of TiO_(2) quality during production, as well as the survey capacity and risk assessment of TiO_(2) NPs in food, consumer goods, and environmental samples.
机译:食品和消费品中二氧化钛(TiO_(2))颗粒的大规模制造和使用显着增加了人类暴露和释放到环境中的可能性。我们提出了一种简单且创新的方法,可以使用拉曼光谱和表面增强拉曼光谱(SERS)快速识别类型(锐钛矿或金红石),并估算TiO_(2)颗粒的大小和浓度。金红石和锐钛矿的识别和区分是基于其固有的拉曼特征。 TiO_(2)粒子的浓度是根据拉曼峰强度确定的。基于TiO_(2)的拉曼强度与结合到纳米颗粒(NPs)的杨梅素的SERS强度之间的比率估算颗粒尺寸,事实证明,该比例与TiO_(2)纳米颗粒的浓度无关。当估计混合物中纳米尺寸颗粒的存在时,将从100 nm颗粒计算出的比率用作临界值。在确定E171的类型,浓度和尺寸时,我们还演示了这种方法的实际用途:这种混合物包含多种尺寸的TiO_(2)颗粒,通常在许多食品中用作食品添加剂。使用开发的方法确认了E171中TiO_(2)锐钛矿型NP的存在,并通过透射电子显微照片进行了验证。 TiO_(2)在池塘水中的存在也被证明是该方法的分析能力。我们的方法显示了在复杂基质中快速筛选纳米级金红石和锐钛矿型TiO_(2)颗粒的巨大前景。这种方法将极大地改善生产过程中TiO_(2)的质量测量,以及食品,消费品和环境样品中TiO_(2)NP的调查能力和风险评估。

著录项

  • 来源
    《Environmental Science & Technology》 |2018年第5期|2863-2869|共7页
  • 作者单位

    Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States;

    Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States;

    Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States;

    Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States;

    Department of Food Science, University of Massachusetts, Amherst, Massachusetts 01003, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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