Engineered CMV gB Proteins for Environmental Monitoring and Control

The present inventive concept leverages the core technology of engineered mutant cytomegalovirus glycoprotein B (gB) proteins to develop novel systems and methods for monitoring and controlling environmental threats, such as crop diseases, invasive species, water pollutants, pest populations, and wildfires.

The original patent disclosed engineered mutant CMV gB proteins with improved stability and binding properties. However, the patent's scope was limited to human cytomegalovirus and its applications. The present inventive concept addresses the need for innovative solutions in environmental monitoring and control, where current methods are often inadequate, expensive, or invasive.

The new claims describe systems and methods that utilize engineered mutant CMV gB proteins modified to bind specifically to various environmental targets, such as disease-causing pathogens, invasive species, pollutants, pests, or fire-related chemicals. These proteins provide a detectable signal upon binding, enabling real-time monitoring and control of environmental threats. The inventive concept encompasses a range of applications, including crop disease monitoring, invasive species tracking, water pollution detection, pest population control, and wildfire detection.

The new claims introduce a paradigm shift by applying the core technology of engineered mutant CMV gB proteins to entirely new fields, including environmental monitoring and control. This inventive step lies in the unexpected use of these proteins to address pressing environmental challenges, demonstrating a non-obvious connection between the original patent's technology and these novel applications.

Alternative embodiments of the inventive concept could include the use of different protein modifications, such as fluorescent or magnetic labels, to enhance detection capabilities. Variations may also involve the development of portable or handheld devices for in-field monitoring, or the integration of machine learning algorithms to improve predictive capabilities.

The inventive concept has significant commercial potential in various industries, including agriculture, environmental consulting, water treatment, pest control, and firefighting. The market for environmental monitoring and control systems is growing rapidly, driven by increasing concerns about climate change, sustainability, and public health.