Do quantum state oscillations in natural drinking water benefit

human health?

Benny JohanssonAkloma Bioscience AB

Water Conference October 9-12, 2014

1

2

The Vincent Profile – Loss of system energy calculated from the level of entropy in water

Zone 1Bitter

Green algae

Zone 2Sweetacidic

Fungus

Zone 3SweetVirus

Zone 4Salt

Brown algae

Analysis of the electromagnetic flow in life obtaned from pH, Redoxpotential in relation to the resistance of the system

Louis-Claude Vincent/www.eautarcie.org

Alkaline

The clustering model of liquid waterand origin of water anomalies

3

The emergence of highly ordered structures in Nature from unordered independent atoms/molecules is addressed in modern science along two pathways;

thermodynamics of irreversible processes, explicitly dissipative structures selforganisation decrease in entropy

quantum field theory extended regions of non-local correlation

Coherent domains of water (reductive/acidic)(0,1 µm, 5,5 million molecules, thermal/EMF oscillation couples)

Formation of water clusters of different sizes

Pauling, Robinson, Chaplin, Preparata, Huang, Pollack

Ordinary non-coherentwater

4

The Vincent Factor (QV) – An estimate of ”stored” energy within in a ”living” system

Rresistivity

QV =

QV depends on the entropy of the system – a low entropy state - a low energy and high state of organisation that keeps its energy over time

rH2 = ORPx33,8+2pH

rH2 = Electronification/ reductivity of a water solution

rH2

5

Spring water

Tap Water

Studied Tap and Spring Waterin Skåne

Bioelectrochemical coordinates of spring water

6

Water pH ORP rH rH2 Conductivity Resistivity QV DFA FD

Gorkekälla Control 7,33 311 25,03 25,17 519 1927 0,013064 0,77 1,77Conditioning* 7,44 308 25,15 25,29 524 1908 0,013252 0,86 1,85

Dammåkra källa Control 7,15 309 24,60 24,74 311 3215 0,007695 0,85 1,85Conditioning* 7,86 291 25,42 25,56 311 3215 0,007948 0,87 1,89

St Olof källa Control 6,53 360 25,06 25,23 263 3802 0,006635 0,85 1,79Conditioning* 6,59 370 25,51 25,69 207 4831 0,005317 0,95 1,82

Tjockebjärs källa Control 7,56 328 26,05 26,21 351 2849 0,009198 0,78 1,83Conditioning* 7,55 329 26,07 26,22 350 2857 0,009177 0,94 1,76

Jernkällan Control* 5,910 391 24,85 25,04 45,4 22026 0,001137 0,80 1,83Conditioning* 5,915 398 25,10 25,28 46,8 21368 0,001183 0,99 1,80

Kulla källa Control* 6,275 332 23,62 23,77 99,4 10060 0,002363 0,85 1,87Conditioning* 6,278 364 24,69 24,86 104,3 9588 0,002593 0,93 1,84

Skäppeboda källa Control 7,45 329 25,87 26,02 453 2208 0,011787 0,84 1,83Conditioning* 7,444 338 26,15 26,31 458 2183 0,012051 0,89 1,83

* quantum oscillationsLow relative hydrogen and high electronificationLow Vincent factor QV = low entropy and high state of organizationLarge difference in DFA close to 1,0 shows that the conditioned state of water ia a real fractal.

Water pH ORP rH rH2 Conductivity Resistivity QV DFA FD

Ystad Control* 8,11 258 24,82 24,94 758 1319 0,018905 0,85 1,70Conditioning 8,00 266 24,87 24,99 757 1321 0,018918 0,91 1,79

Malmö Bolmen Control 8,32 269 25,61 25,73 368 2717 0,009469 0,79 1,61Conditioning* 8,35 266 25,57 25,69 367 2725 0,009429 0,89 1,82

Lund Bolmen Control 7,85 283 25,13 25,27 173 5780 0,004371 0,77 1,87Conditioning* 8,00 280 25,33 25,46 173 5780 0,004405 0,94 1,85

Sövde Control 7,64 326 26,15 26,30 517 1934 0,01360 0,81 1,88Conditioning 8,08 293 25,93 26,06 513 1949 0,01337 0,98 1,84

Simrishamn Control* 7,866 319 26,37 26,51 604 1656 0,016015 0,82 1,74Conditioning* 7,833 316 26,20 26,35 611 1637 0,016098 0,83 1,81

Kristianstad Control 8,179 306 26,56 26,70 487 2053 0,013003 0,83 1,84Conditioning* 8,142 307 26,52 26,66 491 2037 0,01309 0,87 1,83

S. Mellby Control* 7,682 337 26,60 26,75 461 2169 0,012334 0,81 1,78Conditioning* 7,665 334 26,46 26,62 463 2160 0,012325 0,92 1,76

Klippan Control 7,890 326 26,65 26,80 173 5780 0,004636 0,80 1,78Conditioning* 7,919 327 26,74 26,89 194 5155 0,005217 0,90 1,82

Landskrona Control 8,116 323 27,00 27,15 216 4630 0,005864 0,79 1,87Conditioning* 8,122 325 27,08 27,23 218 4587 0,005936 0,95 1,86

* quantum oscillationsLow Vincent factor QV = low entropy and high state of organizationLarge difference in DFA close to 1,0 shows that the conditioned state of water ia a real fractal.

Bioelectrochemical coordinates of tap water

Water pH ORP rH2 Conductivity Resistivity QV DFA FD

Malmbergs 6,221 309 22,7 385 2597 0,00874Conditioning

Imsdal* 7,620 329 26,4 62,2 16077 0,00164 0,80 1,860Conditioning* 7,490 342 26,5 62,2 16077 0,00165 0,91 1,876

Aqua Terrena 8,612 254 25,8 614 1629 0,01585 0,85 1,850Conditioning* 8,801 248 26,0 549 1821 0,01427 0,93 1,841

Ramlösa 5,845 338 23,0 825 1212 0,01898

Loka 5,875 333 22,9 1033 968 0,02366

Blue Keld 7,537 313 25,5 487 2053 0,01242

Stenkulla 8,105 312 26,8 398 2513 0,01065 0,82 1,77Conditioning 8,078 310 26,6 395 2532 0,01052 0,91 1,76

* quantum oscillationsLow Vincent factor QV = low entropy and high state of organizationLarge difference in DFA close to 1,0 shows that the conditioned state of water ia a real fractal.

Bioelectrochemical coordinates of bottled drinking water

Distribution of the Vincent factor in tap, spring and bottled drinking water

Health index according to Vincent

20

21

22

23

24

25

26

27

28

29

30

5,5 5,7 5,9 6,1 6,3 6,5 6,7 6,9 7,1 7,3 7,5 7,7 7,9 8,1 8,3 8,5 8,7 8,9

pH

Red

uct

ion

r

H2

O

xid

atio

n

Tap water

Bottled water

Spring water

Most drinking waters are unsufficent for drinking according to the the Vincent factor

Correlation between fractal ordering (DFA) and Vincent factor (QV)

Correlation between DFA and QV - ControlTap and bottled water

y = 3,6099x + 0,7737R2 = 0,6588

0,76

0,77

0,78

0,79

0,8

0,81

0,82

0,83

0,84

0,85

0,86

0 0,005 0,01 0,015 0,02

QV

DF

A

Correlation between DFA and QV - ConditioningTap and bottled water

y = -1,823x + 0,9307R2 = 0,0609

0,82

0,84

0,86

0,88

0,9

0,92

0,94

0,96

0,98

1

0 0,005 0,01 0,015 0,02

QV

DF

ATap and bottled water

Correlation between QV and DFA - conditioningSpring water

y = -8,201x + 0,9789R2 = 0,635

0,84

0,86

0,88

0,9

0,92

0,94

0,96

0,98

1

0 0,002 0,004 0,006 0,008 0,01 0,012 0,014

QV

DF

A

Correlation between QV and DFA - ControlSpring water

y = -2,5625x + 0,839R2 = 0,1036

0,76

0,77

0,78

0,79

0,8

0,81

0,82

0,83

0,84

0,85

0,86

0 0,002 0,004 0,006 0,008 0,01 0,012 0,014

QV

DF

A

Spring water

A high DFA and low QV value equals a low entropy and fractal ordered state

Control

Conditioning

11

Thermal IR imaging and reduced IR emission in coherent water

1000 µm

 

Hydrophobiccells

Control water Coherent water

The temperature is 0.3-0,4 C lower in coherent water and the ordering state extends the bulk volume of water. Fractality: 0,91 (Control) and 0,97 (Coherence)

REDSHIFT

12

Thermal IR imaging and reduced IR emission in human urine

Control Urine Experimental Urine

Mean Temperature 22,3 °C Mean Temperature 21,9 °C

The temperature is 0,4 °C lower in experimental urine and the ordering state extends the bulk volume of urine.

Drinking Mineral water Drinking conditioned mineral water

IR thermal imaging and DFA change in healthy volunteers after consumption of coherent mineral water

Monofractal order in urine

Difference in IR temperature between experimental and control urine samples (p<0,021)

-0,32-0,09

-0,21-0,37

0,03-0,36

-0,19-0,01

-0,170,32

-0,05-0,17

0-0,01

-0,540,06

-0,6 -0,4 -0,2 0 0,2 0,4

1

3

5

7

9

11

13

15

Difference in IR temperature (°C)

IR imaging in urine

A coherent water state induces a fractal ordering of urine in healthy volunteers

DFA in healthy volunteers (p<0,040)

-0,2

0

0,2

0,4

0,6

0,8

1

1,2

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Volunteer no.

DF

A DFA Cond

DFA Control

Validfractal

Reduced heart rate implies physiological restoration and emergent metabolism due to a coherent state of water

Change in Heart rate in healthy voluteers (p<0,027)

-10 -8 -6 -4 -2 0 2 4 6 8

1

3

5

7

9

11

13

15

Change in heart rate (Bpm)

Mean Heart rate (Bpm)

Control 64,22 ± 9,82

Experimental 62,24 ± 8,80

Difference 1,98

The significant decrease in heart rate indicates besides restoration a more efficient metabolism

Conclusion

15

• Tap water - not convenient for drinking according to the Vincent factor

• Negative correlation between QV and DFA in spring water - indicating a similar low entropy and low energy state (quantum correlation)

• Positive correlation between QV and DFA in tap and bottled water – the two factors measure different aspects of water ordering

• IRI of urine in healthy volunteers shows significant change in IRT and DFA values – physiological fractal ordering in ”body water”

• Significantly reduced heart rate – physiological recovery and more efficient metabolism

• Quantum state oscillations in drinking water are of importance for human health