A Novel Method for Understanding the Mixing Mechanisms to Enable Sustainable Manufacturing of Bioinspired Silica.
A Novel Method for Understanding the Mixing Mechanisms to Enable Sustainable Manufacturing of Bioinspired Silica.
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DOI：
10.1021/acsengineeringau.2c00028
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发表时间：
2023-02-15
期刊：
影响因子：
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通讯作者：
Patwardhan, Siddharth V
中科院分区：
文献类型：
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作者：
Baba, Yahaya D;Chiacchia, Mauro;Patwardhan, Siddharth V
近年来，生物启发二氧化硅（BIS）因其绿色合成而受到前所未有的关注，该合成提供了一种可扩展的，可持续的和经济的方法来生产高价值的二氧化硅，用于广泛的应用，包括催化，环境修复，生物医学和能源储存。为了放大BIS合成，理解混合在不同尺度下如何影响反应至关重要。特别是，如果混合时间在不同的生产规模上被测量、建模并保持恒定，则可以实现成功的放大。为此，开发了一种新的图像分析技术，使用pH作为关键参数之一，以监测反应和混合。具体而言，该技术涉及使用定制编写的算法对颜色（pH）变化进行图像分析，以生成详细的pH图。从该分析中确定不同叶轮速度和进料注入位置的混合程度和混合时间。所选帧的平均pH值与使用pH校准的测量值的交叉验证证明了图像处理技术的可靠性。结果表明，生物启发的二氧化硅的形成是由介观和，在较小程度上，微观混合控制。基于这项调查的新数据，混合时间的相关性作为雷诺数的函数开发的一类绿色纳米材料的第一。此外，我们还关联了混合条件对反应和产物的影响。这些结果为扩大规模以实现BIS和其他纳米材料的可持续制造提供了有价值的见解。
Bioinspired silica (BIS) has received unmatched attention in recent times owing to its green synthesis, which offers a scalable, sustainable, and economical method to produce high-value silica for a wide range of applications, including catalysis, environmental remediation, biomedical, and energy storage. To scale-up BIS synthesis, it is critically important to understand how mixing affects the reaction at different scales. In particular, successful scale-up can be achieved if mixing time is measured, modeled, and kept constant across different production scales. To this end, a new image analysis technique was developed using pH, as one of the key parameters, to monitor the reaction and the mixing. Specifically, the technique involved image analysis of color (pH) change using a custom-written algorithm to produce a detailed pH map. The degree of mixing and mixing time were determined from this analysis for different impeller speeds and feed injection locations. Cross validation of the mean pH of selected frames with measurements using a pH calibration demonstrated the reliability of the image processing technique. The results suggest that the bioinspired silica formation is controlled by meso- and, to a lesser extent, micromixing. Based on the new data from this investigation, a mixing time correlation is developed as a function of Reynolds number—the first of a kind for green nanomaterials. Further, we correlated the effects of mixing conditions on the reaction and the product. These results provide valuable insights into the scale-up to enable sustainable manufacturing of BIS and other nanomaterials.