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The output space of a chemical sensor

The output space of a chemical sensor PkEep

The output space of a chemical sensor has a general dimension that depends on the number of chemical properties explored via the sensor. for instance, a sensor that detects chemical reactivity instead of physical properties (such as mass) may also examine a large number of chemical properties that can be partially or perfectly orthogonal to each other. these interactions include Lewis acid/base, Brønsted acid/base, redox, hydrogen bonding, and so on. , which ultimately affect the reaction. Differentiation between chemical species using these kinds of sensors, in addition, involves analysis in this high-dimensional output space and is therefore potentially able to distinguish between a big number of various targets. In comparison, a sensor that takes advantage of poor physical interactions could have an output space that is largely dominated through only one dimension. Chemical-based reaction sensors are inherently high-dimensional output space. This higher dimension means a greater capability to distinguish between similar target analytes. A huge output space requires an extra complicated approach to analysis. Colorimetric sensors produce large data sets with many variables, to be able to manage this amount of data mainly frequently used tools and most common approaches to high-dimensional data which include principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least squares regression (PLS), And Linear discriminant analysis (LDA), Support Vector Machines(SVM), and artificial Neural Networks (ANN) are used.

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