Dropperbot.com – Blood Purity Research

We have studied how blood purity behaves among population. From this page you will find the summary of the results. If you are interested in co-operating in research, please contact us!

Best regards,
Droppi Veripalvelu Oy (Droppi Blood Service)

Mikko Vapa
Head of Research
040-7619696
mikko@dropper.fi

 

Research Results

Visual Patterns of Dry Blood research report (Vapa & Vapa 2010) has been done in 2010. The report shows a sample of 158 Finns and their dry blood profiles grouped based on their diets and living habits. The main findings are that vegetarians and those meat eaters who drink purifying liquids (Alkalizers) have the cleanest blood. In contrast, those who stay up late, are obese (BMI≥30), drink alcohol, smoke or are stressed as well as those who have 4 or more diagnosed diseases (Sickness≥4) have the lowest quality of blood.

Blood purity (Vapa & Vapa 2012) is on average 82% in a Finnish population measured from 657 persons. Blood purities below 70% and above 90% are rare. All blood purities below 50% have been measured from hospital patients.

The reliability of blood purity is high. The similarity of two consecutive samples is statistically significant. Pearson correlation is 0,813, p-value < 0,0001 and in average two sample difference is 4,5%. Therefore blood purity is a reliable measure of health.

We have also monitored the long-term stability of blood purity with daily and monthly measurements. In a graph shown below the two topmost curves have been measured as one-month period and the other two curves below as measurements with about one-month intervals. The blood purity stays with 5% on daily measurements. Measurements taken each month have a higher variety. A patient with aplastic anemia stayed constantly below population average and erythrocyte sedimentation rate was high all the time before death, 46-115 mm/h.

Master’s thesis work ”Kuivaveren valkoisuus ja kliiniset verimuuttujat” (The whiteness of dry blood and clinical blood variables) in University of Jyväskylä (Kimmo 2014) showed that the whiteness of dry blood correlates with erythrocyte sedimentation rate. Therefore the dry blood method is fast, cheap and easy method to measure inflammation. A model was also developed to estimate dry blood whiteness based on different clinical blood variables. The model is based on the amount of neutrophils, the amount of fibrinogen, the size variation of erythrocytes, the amount of immunoglobulin-A and the amount of hemoglobin. The master’s thesis work also summarizes the history of peer-reviewed dry blood research originating from 1930s.

The correlations between the whiteness of dry blood samples and clinical blood variables. Spearman correlation is denoted with upper index s. The correlation values higher than 0,300 are bolded. Statistical significance is denoted with a star (p≤0,05 = *, p≤0,01 = ** and p≤0,001 = ***)

Literature

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