Going Green requires revisiting industrial application of Analytical Chemistry and redefining the requirements for process monitoring and control. This revolution requires us to take a hard look at available sensor tools that can provide reliable on-line and real-time measurements for quality processing in a safe manner. With available tools for signal conversions and data acquisitions, sensor technology should break all barriers and beliefs for supporting process monitoring and control. Instrument manufacturers and researchers should work together in understanding various process operations and monitoring steps for replacing traditional sampling, analysis and data collection with reliable catch-all tools for continuous data logging of real time measurements. This approach will eliminate the use of unnecessary reagents / chemicals and generation of secondary wastes, and specifically protect the operators from unwanted exposure to hazardous processes due to traditional sample collection and analysis requirements.
Sensors are available and the technology has made progress for process control and monitoring applications in certain areas like food and pharmaceutical, but still in its infancy in several other areas. In order for this technology to prove sufficient and necessary for process monitoring, chemists should shift their thinking process from analytical accuracies and sensitivites of environmental measurements - to what is needed for process operations to control the product quality. This revolution in process measurements and waste reduction will make a positive contribution to worker protection and environment.
Going requires shift from analytical chemistry to analytical biology and the implementation of physical systems that would convert quantum energy into biomass through chain of organisms. For that to occur we engineers must work with system designers that follow the change of mass and conservation of energy as a function of time.Health issues due to environmental impact, high carbon emissions and multi loci energy generators would be implemented cutting off the dependency from natural resources. Machines with internal engines should have a compartment where the carbon emissions are stored and further converted to biomass which using light can yield natural gas and higher mass carbohydrates.
I agree that our current practices of chemistry, process monitoring and process control creates barriers and beliefs that limit our application of on-line monitoring. We prefer methods with chemical reagents because there are a limited number of corrections required for a good measurement. In contrast, there is a belief or prejudice that light coupled with spectrographic methods is too "blackbox". The great majority of chemical information is detectable via the electromagnetic force. However, we as chemists limit our expectation to specific or characteristic chemical spectra. Yet, we know that spectra is a result of electron sharing being restricted to specific time-spaces therefore only specific quanta occur when the electron is promoted from those restricted spaces. Further, we use our knowledge of mixing of these restricted spaces to predict where a reaction occurs and what new quanta to expect. Yet, what we generally miss is that a free electron also interacts with light. Hence, information about the chemistry can bias spectral distributions at wavelengths which are not those of the characteristic chemical spectra and do it in specific ways.
For example, I once helped develop a florescence detection method for the probability of 1 E. coli per 100 ml of sample of river or lake water. We were sampling less than 3 ml. A large number of characterization patterns (source water samples) were required for a database but then a comparison program could identify the most similar sample in the database and thereby accurately predict the most probable number of E. coli with the above limit of accuracy.
I expect that this method would put most of us out of our comfort zone.
"free electron also interacts with light" It always interacts with specific waves that travel between atoms, probably antimatter, which interferes with electrons at given energetic space and travles with into another space of a different atom or same with different energetic state. The problem is how we measure that negativity as a function of time. It appears that of we could predict the mass change as a function of space, then at the end all we have to deal is waves as a function of space where time can be an N-dimensional system as long as we define the frequency change and convert them into a digital data.