Advanced resonator - and imaging-based characterization of morphology and aggregation in CNCs and CFs

CNC 和 CF 中基于先进谐振器和成像的形态和聚集表征

• 批准号: 492027-2015
• 负责人: Shankar, Karthik
• 金额: $ 1.46万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618445
• 关键词: Advanced; resonator; imaging; based; characterization

The expanded title of this project is "Advancing the understanding and measurement of the properties of CNCs and CNC-based nanocomposites through Impedometric- and Imaging-based characterization". Cellulose nanocrystals and nanofilaments constitute an exciting nanomaterial that has recently attracted strong attention from the scientific community. At the same time, a number of physical phenomena in cellulosic nanomaterials remain inadequately understood, which in turn, is limiting their use in potential structural, optical, electronic and sensing applications. In this context, the primary scientific objective of the proposal is to conduct fundamental research into the properties and behavior of cellulose nanocrystals (CNCs) and cellulose nanofilaments (CNFs) with the intention of expanding their applications in binary and multicomponent blends/composites. The novelty of our proposed work originates in the relatively unique suite of methodologies we propose to employ to study CNCs and CFs, and blends of CNCs with other functional materials. In this proposal, we present two hitherto unused techniques, namely Impedometric microwave resonator-based characterization and Imaging-based characterization, which are not only complementary to the existing techniques but also aim to apply proven methodologies from other areas (inorganic nanostructures in the case of microwaves, biomolecules in the case of TIRF) to the study cellulosic nanomaterials. The vast majority of real-world applications of CNCs and CFs require blending with another solid component. Yet, most of the present characterization methods for CNCs and CFs either are completely inapplicable to solid-state composites (e.g. DLS) or else are cumbersome (e.g. XRD) or else imprecise and unreliable due to overlapping signals or peak shifts (.e.g Raman, FTIR), a deficiency which we seek to address using the Impedometric- and Imaging-based characterization methods. This CRD project will also attempt to advance the fabrication and characterization of electronic composites based on CNCs and CFs.

该项目的扩展标题是“通过基于障碍和成像的特征来推进对CNC和基于CNC的纳米复合材料的理解和测量”。纤维素纳米晶体和纳米丝构成了令人兴奋的纳米材料，最近引起了科学界的强烈关注。同时，纤维素纳米材料中的许多物理现象仍然不足，这反过来限制了它们在潜在的结构，光学，电子，电子和传感应用中的使用。在这种情况下，该提案的主要科学目标是对纤维素纳米晶体（CNC）和纤维素纳米丝（CNF）的性质和行为进行基础研究，以扩大其在二元和多组分混合材料中的应用。我们提出的工作的新颖性起源于我们建议研究CNC和CFS的相对独特的方法，以及CNC与其他功能材料的混合物。在该提案中，我们提出了两种迄今未使用的技术，即基于障碍的微波谐波谐振器的表征和基于成像的表征，它们不仅符合现有技术的互补，而且还旨在应用其他领域的可靠方法（在Microwaves，Biomolecules，Biomolecules，Biomolecules中，nan cellos in Celter natirf）的其他领域（无机纳米结构）和研究。 CNC和CFS的绝大多数现实应用都需要与另一个固体组件融合。然而，CNC和CFS的大多数当前表征方法都是完全不适合固态复合材料（例如DLS），或者是繁琐（例如XRD），或者不可靠且不可靠，由于信号或峰值变化（.e.g raman，ftir），我们寻求使用的方法，以下是我们寻求地址的特征，并且要使用不可或缺的方法。这个CRD项目还将尝试推进基于CNC和CFS的电子复合材料的制造和表征。