Experimental Data Analysis

Experimental Data Analysis

Conclusions

According to the results of the given research the following conclusions can be drawn:
1. The analysis of more than 3600 GDV-grams of the studied liquid objects demonstrated, that the parameters corresponding to the GDV-grams have normal distribution. This enables application of different groups of liquids such statistic methods as dispersion analysis, Student's t-criteria and its variants.

Sensitivity of statistic criteria, depending on the difference of the average values, their standard deviations and a number of concentrations in the similar research should include not less than 40 selections of each concentration.

It was demonstrated, that during shooting due to the influence of electromagnetic field on the liquid the change of GDV-gram parameters takes place that can be interpreted as the change of liquid properties under the influence of EMF. These changes are statistically significant.

Similar data confirm that the GDV-technique can be applied for the registration of EMF influence on liquid. However it is necessary to consider the influence of the process of measuring itself.

A large number of selections can be obtained using the successions of GDV-grams from the initial solution up to 5-time ionized drops of solutions.

The volume of selections in 40 values of parameters can contain values of GDV-grams of solution under the influence of electromagnetic field up to 5 times (taken successively 5 times in the GDV program). The procedure is repeated 8 times to obtain statistically significant selection.

Despite the statistically significant differences between the drops of liquid and their 5-time ionized analogies, in the given case we have intervals of difference smaller than standard deviations from the average values of different concentrations. This explains the application of 5-time ionized drops. With higher ionization the intervals of difference increase and some cases become larger compared to the standard deviations of the given solutions.

With the concentration of 0.0001 (g-eqv)\L only non-ionized drops must be used, as starting from this value standard deviations of solutions are similar to the standard deviations of distilled water and reliable intervals of difference.
The studied solutions of strong electrolytes (completely dissociated into ions by solvent) such as NaC1, KC1, Na NO3 and different in ion radiuses and electroconductivity (see Table 3.14) have statistically significant differences between neighboring concentrations of the same solution as well as between similar concentrations of different solutions.

There is a certain correlation in the general behavior of solutions of electrolytes.
On the level of dilution 0,5 (g-eqv)\L Fractality coefficient decreases relatively its normal value, then, on the level of 0,25 (g-eqv)\L increases. Further with little differences it falls to 0.004 (g-eqv)\L. On the level of dilution 0.00195 (g-eqv)\L it increases again and from the level 0.00097 (g-eqv)\L it falls stable down to the dilution 0.00006 (g-eqv)\L where statistically significant differences between solutions and distilled water disappear.

Characteristic statistically significant "fallouts" of values of Fractality coefficient with concentrations 0/5 (g-eqv)\\L and 0.00195 (g-eqv)\L and "fallout" of autocorrelation function with concentration 0,125 (g-eqv)\L are obtained. The explanation should be found, probably, in the peculiarity of structure of solutions with the given dilutions. Concentration influence electroconductivity as follows: on one side, the number of ions - carriers of electricity increases, on the other side, their flexibility decreases. Such a double standard can explain the given "fallouts". This phenomena will be the subject of further research on physical - chemical interpretation.

Experimental sensitivity of parameters when comparing to water is ranged as follows:

Area,
Entropy,
Autocorrelation angle,
Fractality coefficient.

Sensitivity of the later is higher when revealing such differences in solutions as ion radiuses and electroconductivity.
Fractality coefficient is interesting due to the following empiric assumptions. Fractality of GDV-grams of solutions, probably, reflects flexibility and activity of ions containing in the given solution. With the decrease of concentration of solution ions move apart and their interaction decrease and reflection of the processes in solutions on GDV-grams under the influence of electromagnetic field is systematic. This dependency on the properties and concentration of ions in solutions is similar to the dependency of equivalent electroconductivity of solutions, which is of great physical-chemical and diagnostical significance. Thus, the task to reveal relation between Fractality coefficient and equivalent electroconductivity is actual.
Entropy is the measure of deviation from the balance: it decreases with reaching the balance. From this point its dynamics during dilution is interesting.

Autocorrelation function characterizes regularity of the process. If autocorrelation from some distance r equals zero, there are no correlations at the distance r. The study of biological objects of different nature demonstrates that this parameter has a great practical significance. Autocorrelation dynamics during dilution is also interesting.
The glow area of drops of the same size is the function of photon emission from their surface. Consequently, activity and flexibility of ions as well as ionization and dissociation degree will contribute to the value of the given parameter. These suggestions allow assumption on the connection between glow area and equivalent electroconductivity.
The data obtained demonstrate polynomial dependency of the third range between Fractality coefficient and equivalent electroconductivity.

Area and equivalent electroconductivity appear to be connected by the polynomial dependency of the fifth range.
Such dependences confirm non-linear character of connection between electroconductivity and GDV coefficients. It's reasonable to suggest the both groups of parameters reflect some base physical properties of solutions. Such a property for the equivalent electroconductivity is the flexibility of ions and ion clusters. The revealed significance of the coefficients of non-linear regression from the values of ion radiuses, found during analysis of the data confirms these assumptions.

The given dependency is also characteristic for super small concentration of ions that corresponds to the hypothesis on the cluster structures in liquids revealed by the GDV-technique

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