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多检测器非对称流场流分离技术分离和表征纤维素纳米晶体。

Separation and characterization of cellulose nanocrystals by multi-detector asymmetrical-flow field-flow fractionation.

机构信息

Materials Measurement Science Division, National Institute of Standards and Technology, 100 Bureau Drive Stop 8520, Gaithersburg, Maryland 20899-8520, USA.

出版信息

Analyst. 2018 Feb 7;143(3):731-740. doi: 10.1039/c7an01739a. Epub 2018 Jan 11.

Abstract

Cellulose nanocrystals (CNCs) are renewable, naturally derived polymeric nanomaterials receiving substantial attention for a wide range of potential applications. The recent availability of high quality reference materials will facilitate the development and validation of measurement methods needed to advance the scientific and commercial use of CNCs. In the present study, we demonstrate an optimized method to fractionate CNCs with narrow size dispersion based on asymmetrical-flow field-flow fractionation (AF4) coupled with on-line multi-angle light scattering (MALS), dynamic light scattering (DLS), and differential refractometry (dRI). A stable suspension of CNC (Certified Reference Material CNCD-1, National Research Council-Canada) in deionized water was prepared using a dispersion method provided by NRC and adopted from a protocol originally developed at the National Institute of Standards and Technology. The as-prepared material was initially characterized in batch mode to validate the NRC dispersion method. AF4 was then optimized for channel and cross flow, mobile phase composition, and injection volume, among other parameters. Additionally, suspensions containing (1.25-10) mg mL CNC were injected directly into the dRI detector (off-line), yielding a dn/dc value of 0.148 ± 0.003 mL g. dRI was then used as an on-line mass sensitive detector to quantify recovery. Results show that maximum recovery (≈ 99%) was achieved under optimized conditions. The weight-averaged molar mass (M) was estimated at roughly 10 Da from a partial Zimm analysis. The optical radius of gyration, R, and the hydrodynamic radius, R, were measured during elution. The shape factor (R/R) ranged from 1.5 to 1.9 for the fractionated material, supporting an elongated or rod-like structure. To our knowledge, this is the first time that both the morphology and molar mass of CNCs have been directly measured for the full distribution of species. Finally, we developed and demonstrated a semi-preparatory fractionation method to separate CNCs at the milligram scale for off-line research and analysis.

摘要

纤维素纳米晶体(CNC)是可再生的天然高分子纳米材料,由于其在广泛的潜在应用中具有巨大的潜力,因此受到了广泛的关注。高质量参考材料的最近可用性将促进开发和验证测量方法,以推进 CNC 的科学和商业应用。在本研究中,我们展示了一种基于不对称流场流分离(AF4)与在线多角度光散射(MALS)、动态光散射(DLS)和差示折射度法(dRI)相结合的优化方法,可用于分离具有窄尺寸分散性的 CNC。采用加拿大国家研究委员会(NRC)提供的分散方法,从最初在国家标准与技术研究所开发的方案中进行了调整,制备了去离子水中 CNC(认证参考物质 CNCD-1,加拿大国家研究委员会)的稳定悬浮液。采用批处理模式对所制备的材料进行初始表征,以验证 NRC 分散方法。然后,对 AF4 的通道和交叉流、流动相组成、注入体积等参数进行了优化。此外,还将含有(1.25-10)mg/mL CNC 的悬浮液直接注入 dRI 检测器(离线),得到 dn/dc 值为 0.148±0.003mL/g。然后,dRI 用作在线质量敏感检测器来定量回收。结果表明,在优化条件下可以实现最大回收(≈99%)。通过部分 Zimm 分析估计重均摩尔质量(M)约为 10Da。在洗脱过程中测量了旋转半径、R 和流体力学半径、R。分馏材料的形状因子(R/R)范围为 1.5 至 1.9,支持细长或棒状结构。据我们所知,这是首次直接测量 CNC 全分布的形态和摩尔质量。最后,我们开发并演示了一种半制备级别的分离方法,可在离线研究和分析中分离毫克级别的 CNC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e2b/6057617/b98c774f8a1e/nihms977134f1.jpg

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ACS Macro Lett. 2012 Jul 17;1(7):867-870. doi: 10.1021/mz300234a. Epub 2012 Jun 25.
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Cellulose Nanofibril Film as a Piezoelectric Sensor Material.纤维素纳米纤维薄膜作为压电传感器材料。
ACS Appl Mater Interfaces. 2016 Jun 22;8(24):15607-14. doi: 10.1021/acsami.6b03597. Epub 2016 Jun 7.
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Correlating Cellulose Nanocrystal Particle Size and Surface Area.关联纤维素纳米晶的粒径和比表面积。
Langmuir. 2016 Jun 21;32(24):6105-14. doi: 10.1021/acs.langmuir.6b01376. Epub 2016 Jun 8.

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