Gas phase and surface chemistry of dielectric barrier discharge plasmas

分辨率在定义静电复印图像的价值方面起着非常重要的作用。对于给定的打印系统，可达到的分辨率取决于感光体的条件。在使用中，在感光器和接触充电辊之间维持的等离子体沉积电荷分布，静电复印过程在该电荷分布上写入潜像。这种等离子体破坏形成感光器电荷转移层的聚合物中的键，影响其特性。 这一过程的细节尚不清楚，但很明显，随着感光器的老化，它会失去分辨率。 这种分辨率的损失对静电复印墨盒的生命周期有重大影响，具有巨大的经济和环境后果。 因此，社会可以从更耐用的光感受器中获益，这些光感受器被设计成抵抗等离子体损伤。 沿着这些路线的进展将需要材料和分子探针，既增加了我们对感光体降解机制的理解，又有助于对工程原型的抗性特性进行分类。 本提案要求开发新的仪器系统，以及一套新的分析工具，其特征在于电介质阻挡放电等离子体及其对感光体完整性的影响。 这些仪器系统将整合共焦拉曼光谱与明场显微成像光谱化学分离和分类域的感光体组成和形态的改变。 复杂的化学计量学数据处理策略，采用小波变换和模板引导的遗传算法（TOGA）的特征选择与多元分类将提取最大的分析信息，从原始拉曼光谱，干涉图像及其协方差。 通过光发射光谱和质谱法的CCR感光等离子体的直接探针将表征介质阻挡放电的化学效应。 测量这些措施的等离子体字符和感光体修改对静电复印分辨率将确定最敏感的预测图像退化，并有助于了解其原因。

Resolution plays a very important role in defining the value of a xerographic image. For a given printing system, the attainable resolution depends on the condition of the photoreceptor. In service, a plasma sustained between the photoreceptor and a contact charge roller deposits the charge distribution onto which the xerographic process writes a latent image. This plasma breaks bonds in the polymer that forms the photoreceptor charge-transfer layer, affecting its properties. The details of this are unknown, but it is clear that as a photoreceptor ages it loses resolution. This loss of resolution has a major effect on xerographic cartridge lifecycle, with enormous economic and environmental consequences. Thus, society could realize great benefit from more durable photoreceptors, engineered to resist plasma damage. Progress along these lines will require material and molecular probes that both increase our understanding of the mechanism of photoreceptor degradation and serve to classify the resistant properties of engineering prototypes. The present proposal calls for the development of novel instrument systems together with a suite of new analytical tools that characterize electrophotographic dielectric barrier discharge plasmas and their effects on photoreceptor integrity. These instrument systems will integrate confocal Raman spectroscopy with bright-field micrographic imaging to spectrochemically isolate and classify domains of altered photoreceptor composition and morphology. Sophisticated chemometrics data-processing strategies, employing wavelet transform and template-guided genetic-algorithm (TOGA) feature selection with multivariate classification will extract maximum analytical information from raw Raman spectra, interferometric images and their covariance. Direct probes of the CCR-photoreceptor plasma by means of optical emission spectroscopy and mass spectrometry will characterize the chemical effects of dielectric barrier discharges. Gauging these measures of plasma character and photoreceptor modification against xerographic resolution will determine the most sensitive predictors of image degradation and help in the understanding of its causes.