Let’s continue going over the basic knowledge required for developing one or more ultra-low cost biochemical composition determination technologies—for advancing human immortality biotech, neurotech, and artificial intelligence.
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An article at sciencedaily.com published on January 17, 2018, is titled “A cell holds 42 million protein molecules, scientists reveal”. A team of scientists in the University of Toronto estimated that a biological cell holds 42 million protein molecules. Note that a protein molecule is extremely small, a couple nanometer in length; a typical eukaryotic cell or a cell with nucleus is about 10 µm – 20 µm. If a single cell has 42 million protein molecules, 37.2 trillion cells in the human body collectively contain 1.5624 x 1021 or 1.5624 sextillion protein molecules. Counting the biomolecules that make up biological tissue extracellular matrices, a living human body easily contains 100 x 1021 or 100 sextillion or more biomolecules. Let’s imagine identifying all of the 100 sextillion biochemicals or biomolecules in the human body in seven days using a fully automated human-body biochemical analyzer yet invented; seven days are 168 hours, which are 10,080 minutes, which are 604,800 seconds. Identifying 100 x 1021 or 100 sextillion biomolecules in 604,800 seconds requires identifying 1.65344 x 1017 or 165 quadrillion biochemicals per second. That is the biochemical identification scale and speed that must be achieved to advance the human immortality biotech, human genetic screening and engineering, neurotech, and artificial intelligence to the uttermost extremes. Is that achievable? How do you identify and record 165 quadrillion biochemicals per second, for 604,800 seconds or seven days, nonstop? Even supercomputers cannot hold and process that much data, so you’ll have to record and process only statistics, not every single biochemical in the human body. Right now, at the end of AD 2022, the most powerful supercomputer in the world, Frontier, in DOE/SC/Oak Ridge National Laboratory, United States, can hold 700 petabytes or 700 x 1015 bytes; that is nowhere near enough to hold the data for 100 x 1021 or 100 sextillion or more biomolecules in the human body.
Let’s be a little less ambitious here, and consider identifying, recording, and publishing all the individual 42 million protein molecules in a single human cell, in less than 24 hours, or in seven days or less. How do you achieve that? Is that achievable?
How do I invent and commercialize one or more biochemical analysis and identification biotechnologies that can cheaply, quickly, and completely identify all the biochemicals in all the different types of human tissues—for advancing the human immortality biotech, human genetic screening and engineering, neurotech, and artificial intelligence? Well, I ask that question, and hopefully, God willing, I’ll answer it, within a few decades at the latest.
Back to listing the chemical analysis tools and methods to review for creating the ultra-low cost human body biomolecules analyzer and determiner, for advancing human immortality biotech, neurotech, and artificial intelligence.
Surface analysis laboratory techniques and capabilities include Optical Light Microscopy, SEM Scanning Electron Microscopy, SEM Energy Dispersive X-ray Analysis, TEM Transmission Electron Microscopy, XRD X-Ray Diffraction, XPS X-Ray Photoelectron Spectroscopy, AFM Atomic Force Microscopy, Vertical Scanning, Phase Shifting Interferometry. I’ll go over all of those.
It seems like there are two broad or major classes of chemical analysis techniques, methods, and tools: light-based chemical analysis, and chemical-based chemical analysis. I’ll look into both.
I’m beginning to suspect that if stained, biological tissue structures can be seen with an optical microscope. I’ll look into 3D scanning biological tissue structures at microscopic level, in addition to 3D scanning cells at microscopic level. If and when possible, I will 3D scan, micrograph, and publish the 3D structure of every tissue in one or more (dead) human bodies.
I’ll continue in part 8.
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