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Biomedical subjects

C Tonani

Publications and source records attributed to C Tonani.

5 recordsLinked to original sources

Isoelectric membrane simulator: a computational approach for isoelectric immobiline membranes.

Isoelectric membrane simulator (IMS) is a computer program meant for computation of pH, buffering power (beta), ionic strength (I) and dissociation degree (a) of a mixture of up to 3 buffering and 1 titrant Immobilines, for generating in a reproducible manner isoelectric membranes. Such membranes, of precise isoelectric point, are then used for large-scale protein purification by isoelectric focusing in multicompartment electrolyzers. IMS can be used, in a more general application, for titrating mixtures of buffers to a desired pH value. This versatile program is written in M.Q.BASIC rel. 2.5 and it runs on any IBM hardware or compatible machine supported by MS-DOS. An example of purification of superoxide dismutase in a multicompartment electrolyzer with a set of fixed pI membranes of widely differing composition is shown.

Acrylamides

Immobilized pH gradients (IPG) simulator--an additional step in pH gradient engineering: I. Linear pH gradients.

A new computer program, called immobilized pH gradients (IPG) simulator, is proposed for calculating and optimizing any recipe for use in isoelectric focusing in immobilized pH gradients. Unlike our previous monoprotic electrolyte gradient simulation (MGS) and polyelectrolyte gradient simulation (PGS) programs, based on minimizing CV(beta), the present program has a target function the minimization of the quadratic moment around zero of the residuals (mu 2). With this algorithm it is possible to formulate IPG recipes which have deviations from linearity well below 1% of the given pH interval (a limit set with the previous MGS and PGS programs), in fact, as small as 0.1-0.2% (in pH units). The new simulator performs 2-3 times better than the previous ones in the pH 4-10 range, and is absolutely necessary when working outside this range, at extreme pH values, where CV(beta) cannot work against the buffering power of bulk water, thus generating pH recipes with huge deviations from linearity. In the latter cases, mu 2 performs 10 times better than CV(beta). When utilizing strong titrants for extended pH intervals, the "all or none" rule has been discovered: such titrants should always be used in tandem, since omission of one of the two at either the acidic or basic extremes produces strongly distorted pH profiles. Our new, most powerful simulator also contains equations for creating nonlinear gradients, notably: concave and convex exponentials and sigmoidal (see the companion paper: Righetti, P. G. and Tonani, C., Electrophoresis 1991, 12, 1021-1027).

Algorithms

Immobilized pH gradients (IPG) simulator--an additional step in pH gradient engineering: II. Nonlinear pH gradients.

While in the companion paper (Tonani, C. & Righetti, P. G., Electrophoresis 1991, 12, 1011-1021) we gave the general outline of our new computer program, immobilized pH gradients (IPG) simulator, able to simulate and optimize linear pH gradients for isoelectric focusing in immobilized pH gradients, in the present report we extend the application of such a program to: (i) convex exponential gradients, (ii) logarithmic and (iii) polynomial gradients. Such gradients are meant to give equal space to protein spots in complex protein mixtures (e.g., cell lysates, biological fluids) and follow the statistical distribution of protein pI values along the pH axis. They will prove of fundamental importance in two-dimensional maps, both because they optimize the spreading of spots in the two-dimensional plane and because of the excellent reproducibility of immobilized pH gradients. The following concave exponential recipes are given: pH 3-8, pH 3-9, pH 3-10, pH 3-11, pH 4-7, pH 4-8, pH 4-9, pH 4-10, pH 4-11, pH 5-8, pH 5-9, and pH 5-10, as well as the most extended pH 2.5-11 interval. Two interesting logarithmic gradients are described: pH 3-6 and pH 3-7 and one sigmoidal (derived with a polynomial of 5th degree): pH 3-11.

Chemical Engineering

pH gradients generated by polyprotic buffers. I. Theory and computer simulation.

This paper presents the general equations for computing pH, dissociation coefficients, buffering power and ionic strength of pure polyelectrolyte solutions (polyacids, polybases and zwitterionic species with any number of dissociable groups) and mixtures of any number of these species. A program has been written for simulating the behaviour of mixtures containing up to 50 species (including buffers and titrants), each of them with up to 10 dissociable groups. This allowed one to check the equations with the available data on a few oligoprotic species.

Buffers

pH gradients generated by polyprotic buffers. II. Experimental validation.

The experimental validation refers to the computer program reported in the companion paper, able to simulate the course of pH, buffering power (beta) and ionic strength (I) of polyprotic buffers (either singly or in a mixture) titrated over any pH range. With simple oligoamines (up to five nitrogens) it is shown that it is impossible to generate linear pH gradients in the pH 4-10 interval, unless they are mixed in appropriate ratios. With pentaethylene hexamine, when used alone, it is possible to create a linear pH 4-10 interval, provided the molarity ratios are altered in the two chambers of the gradient mixer. The general rule operating for generation of linear pH intervals is constancy of buffering power throughout the titration. Local minima of beta produce steeper gradients, while local beta maxima flatten it. The ideal delta pK to arrange for linear pH gradients during titration is centred around 1 pH unit; thus polyprotic buffers with very large delta pK values (e.g., EDTA) appear to be totally useless for this purpose. The present computing algorithms should be quite efficient for optimizing existing buffer recipes for chromatofocusing or ampholyte displacement chromatography or for creating new, properly tailored, buffer mixtures.

Anions