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Development of analytical technologies to measure the size of particles in nanometer ranges, and advent of latest manufacturing approaches for nanomaterials, has resulted in establishment of more effective methods for delivery of therapeutics for the treatment of ophthalmological, pulmonary, cardiovascular diseases, and more importantly cancer therapy.
There will also be complications in areas in which our knowledge of the basic biological processes is developing at the same rhythm as the analytical technology (for a good example of the intrinsic association between new discoveries in biology and the development of analytical technologies, see recent references on chromothripsis [ 66- 68]).
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As one can imagine, with the development of analytical technology, the characterization of mAbs will becomes more precise, systematic and even more important, not only for the development of future mAb products but also for evaluation of biosimilar mAbs.
The tremendous progress in development of new analytical technologies results in specific sample quality requirements to readily exploit the potential of recent technologies.
The inherent limitations of reference measurements for food and feed safety as well as quality control have necessitated the development of new analytical technologies.
With the development of modern analytical technologies, mass spectrometry (MS) has become a powerful tool for the inspection of peptide biomarkers, as it can provide direct and intrinsic information on the peptides and screen multiple peptides simultaneously.
Continuing development of process analytical technology (PAT) tools is needed in the pharmaceutical industry to provide more flexible processing and achieve products of consistent quality.
TGR is a student of the Doctoral Program in Pharmaceutical Sciences, UFMG and has experience with natural products, development of analytical methods, pharmaceutical technology and parasitology.
The completion of numerous genome sequences, the development of powerful protein analytical technologies, as well as the design of innovative bioinformatics tools have marked the beginning of a new post-genomic era.
Although the development of analytical capabilities and capacity is obviously important, a focus on data, methods and technology alone will not magically deliver the insights needed for competitive edge.
The use of automated technology to collect continuous records of animal association data is increasing, and the development of analytical techniques to deal with these large and complex data sets are being explored.
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