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Two-dimensional matrices

Molecular imprinting approaches using inorganic matrices [Pg.218]

Tabushi s group continued work in this field and showed that these simple thin film systems could be imprinted with more complex structures than just straight [Pg.218]

Imprinted metal oxide two-dimensional films have also been prepared using a CVD technique developed by Kodakari et al. [14,15]. They demonstrated that molecular imprints of aromatic aldehydes could be prepared in monolayer films of silica deposited by CVD on Sn02 surfaces. Taking advantage of the specific adsorption of aldehydes to Sn02, templates such as benzaldehyde were dispersed and bound to the surface, followed by tetramethoxysilane deposition. The templates were removed from the surface by gas phase reaction with ammonia, converting the aldehydes to nitriles. Gas phase binding studies performed on the calcined films of imprinted and non-imprinted systems showed that size selective memory for the benzaldehyde template existed. [Pg.220]


Experimental results are generally grouped in tables two-dimensional matrices Xnv formed by N rows (objects = samples) and V columns (variables = chemical quantities, sensorial scores, physical quantities,. . . ). It is very difficult to read and understand the information contained in a large data matrix, therefore it is really... [Pg.94]

Find a set of two-dimensional matrices which are in one-to-one correspondence with the above symmetry operations, and verify that they have the same group multiplication table as the symmetry operations. [Pg.101]

The most difficult term to close in Eq. (5.11) is the reaction rate term. Reaction rates are seldom formulated by considering all the elementary reactions. More often than not, the reactive system is represented by a lumped mechanism, considering only a few species. The case of m components participating in n independent chemical reactions is usually represented by two two-dimensional matrices (m x n) of stoichiometric coefficients and order of reactions and two one-dimensional vectors (n) of frequency factors and activation energy, n chemical reactions are written ... [Pg.135]

We divide each axis into convenient portions corresponding to the most common cases (although we actually have a continuum in three dimensions). Hindrance can vary with adjacent substitution as noted below. An approximate tipping point for basicity is roughly pATabH = 10, but this varies with the system. For nucleophilicity, the poor nucleophiles are often highly hindered anions or are neutral solvents with poor polarizability (Section 4.2.2). To make the individual cells in this matrix easier to view, we will consider each vertical layer separately, and show them as individual two-dimensional matrices in Figure 9.6. [Pg.260]

Occurrence profile results can be displayed as two-dimensional matrices or projected on a phylogenetically organized list of organisms. [Pg.44]

In this section we will briefly review the most salient aspects of matrix algebra, insofar as these are used in solving sets of simultaneous equations with linear coefficients. We already encountered the power and convenience of this method in section 6.2, and we will use matrices again in section 10.7, where we will see how they form the backbone of least squares analysis. Here we merely provide a short review. If you are not already somewhat familiar with matrices, the discussion to follow is most likely too short, and you may have to consult a mathematics book for a more detailed explanation. For the sake of simplicity, we will restrict ourselves here to two-dimensional matrices. [Pg.337]

The totality of such two-dimensional matrices is known as the special orthogonal group, designated SO(2). The rotation of a Cartesian coordinate system in a plane such that... [Pg.170]

The above results is quite amazing. The eight-dimensional matrix can now be blocked into four identical two-dimensional matrices, which are quite easily diagonalized. [Pg.13]


See other pages where Two-dimensional matrices is mentioned: [Pg.36]    [Pg.239]    [Pg.220]    [Pg.217]    [Pg.217]    [Pg.286]    [Pg.11]    [Pg.168]    [Pg.494]    [Pg.1177]    [Pg.1451]    [Pg.108]    [Pg.112]    [Pg.178]    [Pg.455]    [Pg.499]    [Pg.177]    [Pg.1881]   


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Dimensional matrix

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