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Process analytical technology (PAT) has been defined by the United States Food and Drug Administration (FDA) as a mechanism to design, analyze, and control pharmaceutical manufacturing processes through the measurement of critical process parameters (CPP) which affect the critical quality attributes (CQA).
The phrase "drug design" is similar to ligand design (i.e., design of a molecule that will bind tightly to its target). [6] Although design techniques for prediction of binding affinity are reasonably successful, there are many other properties, such as bioavailability, metabolic half-life, and side effects, that first must be optimized before a ligand can become a safe and effictive drug.
The first instrumental analysis was flame emissive spectrometry developed by Robert Bunsen and Gustav Kirchhoff who discovered rubidium (Rb) and caesium (Cs) in 1860. [4] Most of the major developments in analytical chemistry took place after 1900. During this period, instrumental analysis became progressively dominant in the field.
High-throughput screening (HTS) is a method for scientific discovery especially used in drug discovery and relevant to the fields of biology, materials science [1] and chemistry. [ 2 ] [ 3 ] Using robotics , data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to ...
[1] [2] These methods can be categorized according to which aspects of the cell are controlled and which are measured. The three main categories are potentiometry (the difference in electrode potentials is measured), coulometry (the cell's current is measured over time), and voltammetry (the cell's current is measured while actively altering ...
In linear analysis, there is no test to falsify the assumption the is instrumental relative to the pair (,). This is not the case when X {\displaystyle X} is discrete. Pearl (2000) has shown that, for all f {\displaystyle f} and g {\displaystyle g} , the following constraint, called "Instrumental Inequality" must hold whenever Z {\displaystyle ...
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Because of the complex inter-relationship between analytical method, sample concentration, limits of detection and method precision, the management of Analytical Quality Control is undertaken using a statistical approach to determine whether the results obtained lie within an acceptable statistical envelope.