Controlled sulfation of poly(vinyl alcohol) for biological and technical applications using response surface methodology,Molecular Systems Design & Engineering

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Controlled sulfation of poly(vinyl alcohol) for biological and technical applications using response surface methodology
Molecular Systems Design & Engineering ( IF 3.2 ) Pub Date : 2020-10-23 , DOI: 10.1039/d0me00139b
Laleh Solhi _{1,

2,

3,

4} , He Song Sun _{4,

5,

6} , Sailesh Haresh Daswani _{4,

5,

6} , Christopher M. K. Springate _{4,

5,

6} , Harry Brumer _{1,

2,

3,

4}

Affiliation

Sulfated polymers are widely used for diverse applications in chemistry and biology due to their polyanionic nature. Sulfated poly(vinyl alcohol) (SPVA) represents one of the most broadly useful sulfated polymers, which is built upon a simple, chemically robust, and generally non-toxic backbone. Although the partial sulfation of industrially produced polyvinyl alcohol (PVA) for technical applications has been broadly examined, systematic studies to target specific degrees-of-sulfation (DS) are rare. Moreover, the application of statistical design-of-experiments (DoE) methodologies has not been applied to resolve the importance of the many independent experimental variables that influence the DS value ultimately obtained (e.g. choice of sulfating reagent, reagent molar ratio, temperature, time, etc.). Following an extensive literature survey to establish boundary conditions, we used a Plackett–Burman screening design to eliminate non-significant variables and select SO₃ : pyridine as the optimal sulfating reagent. Subsequent Box–Behnken response surface methodology allowed us to generate a statistically supported, predictive model, which enabled the selection of experimental parameters to obtain a defined DS value. This model was externally validated through the targeted production of SPVAs with predicted DS values of 40, 65 and 85% (actual 38, 62, and 84%) for anticoagulant and P-selectin protein-binding assays. The observed direct and inverse dependencies, respectively, of these two indicators on DS underscores the value of precise control of sulfation levels for biotechnological applications. Thus, this study presents a predictive tool to controllably sulfate the inexpensive and widely available PVA polymer for biological and other technical applications.

中文翻译：

使用响应面方法在生物和技术应用中控制聚乙烯醇的硫酸化

硫酸化的聚合物由于其聚阴离子性质而被广泛用于化学和生物学中的各种应用。硫酸化聚乙烯醇（SPVA）代表了最广泛使用的硫酸化聚合物之一，它建立在简单，化学稳固且通常无毒的主链上。尽管已广泛检查了工业生产的聚乙烯醇（PVA）用于技术应用的部分硫酸化，但针对特定的硫酸化度（DS）的系统研究却很少。此外，还没有应用统计实验设计（DoE）方法来解决影响最终获得的DS值的许多独立实验变量的重要性（例如，选择硫酸盐化试剂，试剂摩尔比，温度，时间，等）。在进行广泛的文献调查以建立边界条件之后，我们使用了Plackett-Burman筛选设计来消除不重要的变量并选择SO ₃ ：吡啶为最佳硫酸盐化试剂。随后的Box–Behnken响应面方法使我们能够生成统计支持的预测模型，该模型能够选择实验参数以获得定义的DS值。该模型通过有针对性地生产SPVA进行了外部验证，预测的DS值分别为40％，65％和85％（实际为38％，62％和84％），用于抗凝和P-选择素蛋白结合测定。在DS上观察到的这两个指标分别具有正向和反向依赖性，这突出了对生物技术应用中硫酸盐含量精确控制的价值。因此，本研究提供了一种预测工具，可控地硫酸化廉价且广泛使用的PVA聚合物，用于生物学和其他技术应用。

更新日期：2020-11-03

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