Bioprobes defined

OFDs can be divided into two subclasses (1) optical fiber chemical detectors (OFCD) which detect the presence of chemical species in samples, and (2) optical fiber biomolecular detectors (OFBD) which detect biomolecules in samples. Each subclass can be divided further into probes and sensors, and bioprobes and biosensors, respectively. As a result of the rapid expansion of optical research, these terms have not been clearly defined and to date, the terms probe and sensof have been used synonymously in the literature. As the number of publications increases, the terminology should be clarified. Although both probes and sensors serve to detect chemicals in samples, they are not identical. The same situation exists with bioprobes and biosensors. Simply, probes and bioprobes are irreversible to the analyte s presence, whereas sensors and biosensors monitor compounds reversibly and continuously. 

In a very general sense, Stephenson has defined the term bioprobes as. functional molecules or devices that provide information about biological systems. The high kinetic and thermodynamic stability of many organo-metallic complexes, in addition to their electronic and spectroscopic properties, have spurred their use in numerous sensor applications. Among those are sensors which involve biomolecules, or which detect biomolecules. In this chapter, only a few selected examples are presented as an introduction to the field. Organometallic biosensors are comprehensively summarized in four chapters in a recent book on bioorganometallic chemistry. A more... 

In general, bioprobes are defined [1] as follows Bioprobes are functional molecules or devices that provide information about biological systems. They can fimction on a macroscopic, microscopic, or submicroscopic scale (bionanometrology and molecular-scale observation of biological systems). The term bioprobe is used in this chapter, however, to describe molecular structures that can function as probes to provide information about biological systems. These are molecular bioprobes, as distinct, for example, from microelectrodes or other macroscopic... 

Principal Component Analysis (PCA) has proved a powerful statistical method to distiguish the contributions of multiple effects on a particular complex. The data for tricarbonyl(cyclohexadiene)iron (5) produces the PCA plot shown in Fig. 7.7d, in which values for pure solvents lie at the corners, data for binary mixtures, define the edges, and three-solvent mixtures give points that lie inside the boundaries [45]. Although so far demonstrated for single complexes and up to three solvents, the combination of data from two differentially responding complexes (see Fig. 7.7c) in a multi-carbonylmetal approach should give exceptionally clear measures of properties of hydrophobic and hydrophilic environments when exploited in bioprobe applications. 

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