light is protecting - 222nm

Light is protectingFUV 222nm excilamp defense against bacteria, virus, and pathogen

https://222nm.org

Jerzy Szczypien

Founder

Edmonton

November 30

i9 presentation to Joe Smith2

The problem

Pandemics come and (luckily) go, but the viruses stay, basically forever

COVID-19 deaths will never go down to zero, like deaths from other contagious diseases

No vaccine is perfect, viruses mutate, new strands are virtually guaranteed to materialize

People need to adapt, minimize risk, minimize inconvenience, cannot minimize both at the same time

https://www.facebook.com

https://www.linkedin.com/

https://twitter.com/


The spectrum of solutions

herd immunity lockdown

How much can we help at this end of the spectrum, where inconvenience and damage to the society are minimized?





UV light kills pathogens1

1Downes A., and Blunt T. P., Researches on the Effect of Light upon Bacteria and Other Organisms, Proceedings of the Royal Society of Medicine, 26; 488, 1877

affecting microorganisms (pathogens)

absorbed by atmosphere

absorbed by ozone layer

harmful to humans

produced by traditional (254 nm) germicidal lamps





UV light kills pathogens1

1Downes A., and Blunt T. P., Researches on the Effect of Light upon Bacteria and Other Organisms, Proceedings of the Royal Society of Medicine, 26; 488, 1877





UVC 254nm light





Far UVC radiation (222 nm)

1Welch D., et al., Far-UVC light: A new tool to control the spread of airborne-mediated microbial diseases, Scientific Reports, Nature, 8; 2752, 2018.

absorption bydifferent

pathogens

254 nm

225 250 275 300

222 nm

The effect of 222 nm emission on most pathogens, esp. including viruses, is no less strong than that of the 254 nm emission, but 222 nm is safe for humans1





Why is 222 nm safe?

Mostly because of the extremely superficial penetration of the epidermis. The radiation never reaches the “live” skin where it could cause problems.





Why is 222 nm safe?

Also, in contrast to 254 nm, it doesn’t penetrate the cornea, so it cannot damage the eye

Its degree of penetration is sufficient to damage the tiny “skin” of a bacterium or a virus, but insufficient to pass through the dead layers of human skin or eyes





The area is well researched





How we can contribute

A solution for smart, ubiquitous, continuous, disinfecting of areas where people tend to work, visit, socialize, mingle with Far-UVC radiators

Not just lamps:

Energy-efficient, optimal coverage based on occupancy (green technology)

Monitoring irradiation levels, also on a by-person basis, in cases where long time exposure may be of concern





The system

Lamps and tubes

Doors

Sensors

Networks

Software





Lamps and tubes

15/20/40/60W 222nm UV 24V excilamp

15/20/40/60W 222nm UV excilamps

T8, T13 100/150/220W 222nm FUV tubes





Door and box Lamp

FUV 222nm 1200W sanitizing door

FUV 222nm 1200W sanitizing door

FUV 222nm 150W excimer box lamp





Sensors

UV/VUV radiation: verifying the status and coverage + estimating the amount of radiation over time

IR-occupancy: presence of humans, e.g., to switch the lamps off, if the area is not used

People counters: population density, adjusting output based on the risk of infection





Networks

The sensors form a network incorporating optional personal Tags

Presence feedback, location tracking, contact tracking

Monitoring exposure levels

Alerts?

Integration with smartphone





Network technology

Network nodes based on CC1350 by Texas Instruments:

Low-power μC with advanced wireless capabilities

Equipped with standard sensors IMU, IR, temp, mic

Easy interface to other sensors





Analytical Platform(Dashboard) https://vendidb.com





The team

Pawel Gburzynski PhD Computer Science, professor (now emeritus) at UofA

Industrial experience in microcontrollers, sensor systems, wireless sensor networks, software

Recently developed monitoring systems for Independent Living in Belgium





The team

NataszaSzczypien

PhD Student Data Science bei Technische Universität Braunschweig, Germany

Research: Modeling and classification of pain drawings using the example of rare diseases.

Machine learning based on pain drawings and questionnaires for diagnostic support.

i-VACC - Paving the way towards individualized vaccination.

Tutor: Programming in Java, algorithms and data structures, statistics, data analysis





The team

Wlodek Olesinski

Wlodek holds Master's degree in Computer Science from Jagiellonian University, the oldest and the most reputable University in Poland.

Wlodek brings many years of industry experience in telecommunication networks and network management domains.

He was a member of scientific staff at Bell-Northern Research, where he was mostly involved in developing call processing software for Advanced Intelligent Networks.

Wlodek was also a member of R&D teams within Alcatel, Newbridge, and Nortel Networks, taking part in software development for PSTN and packet networks. He lives in Ottawa.





The team

Jerzy Szczypien

.

For the past number of years, Jerzy has been maintaining and supporting a wide variety of new and existing network and computing services, network applications, security applications, and operating systems.

Jerzy also has extensive experience in project engineering, the ability to provide exceptional customer service, and overcome concerns and objections as required.

Jerzy has worked collaboratively in a team environment for PCL, TELUS Communication and Edmonton Police Service.

Jerzy holds Master degree in Civil Engineering





Occupied areas where FUV 222nm excilamps can be installed





COVID-19 exposures on three school buses in BC

There have been multiple COVID-19 exposures on three separate school buses within the Chilliwack School District, plus exposures at three schools.According to letters sent out by Fraser Health on Nov. 26, the exposure dates for the school buses range from

Nov. 13 to 19 on buses #4, #6 and #28.

“If your child took the school bus on the above dates, there is a chance that your child may have been exposed to the COVID-19 virus,” the letter reads.

School bus #4 exposure notice: Nov. 13 from 2:45 p.m. to 3:45 p.m., Nov. 17 from 2:45 p.m. to 3:45 p.m.

School bus #6 exposure notice: Nov. 17 from 7:30 a.m. to 8:30 a.m., Nov. 18 from 7:30 a.m. to 8:30 a.m., Nov. 19 from 7:30 a.m. to 8:30 a.m.

School bus #28 exposure notice: Nov. 13 from 7 a.m. to 8 a.m., Nov. 17 from 7 a.m. to 8 a.m.Children who were on the buses can continue to attend school and take the school bus but are being advised by Fraser Health to self-monitor for symptoms.Within almost that exact same timeframe, there were also exposures at three Chilliwack schools: Chilliwack secondary on Nov. 17; G.W. Graham on Nov. 16, 17 and 18; and Little Mountain elementary on Nov. 19 and 20.





COVID-19 Shuttle Bus Study





FUV-222nm light kills microorganisms

Microorganism90% disinfection

rnWsec/cm 299,9% disinfection

mWsec/cm 2Microorganism

90% disinfectionmWsec/cm 2

99,9% disinfectionmWsec/cm 2

Yeasts Moulds fungus

Backhefe 3,9 11,7 Aspergillusamstelodami (meat)

66,7 200,1

Brauhefe 3,3 9,9 Aspegillus flavus 60,0 180,0

gewöhnlicheBackhefe

6,0 18,0 Aspergillus glaucus 44,0 132,0

Saccharomycesellipsoideus

6,0 18,0 Aspergillus niger(bakery)

132,0 396,0

Saccharomycesspores

8,0 24,0 Cladosporium

herbarum (cold store)

60,0 180,0

Saccharomycescerevisae

6,0 18,0 Mucur mucedol(meat

fat)

, bread, cheese,65,0 195,0

Saccharomycesturpidans

9,0 27,0 Mucor rec.emodus A 17,0 51,0

Torula sphaerica

(milk and cream)•

2,3 6,9 Mucor racemodus B 17,0 51,0

Algae Oospara lactis 5,0 15,0

Diatomeen (diatom) 360-600 1080,0-1800,0 Penicillium digitatum 44,0 132,0

Grüne Algen 360-600 1080,0-1800,0 Penecillium expansum 13,0 39,0

Blaue Algen 360-600 1080,0-1800,0 Penicillium

chrysogenum (fruits)

50,0 150,0

Protozoen Penicillium roqueforti 13,0 39,0

Paramecium 64-100 192-300 Rhizopus nigricans(bread)

111,0 333,0

Scopulariopsis

brevicaulis (cheese

etc.)

80,0 240,0





FUV-222nm light kills macroorganisms


rnWsec/cm 2

99,9%disinfectionmWsec/cm 2


mWsec/cm 2

99,9%disinfectionmWsec/cm 2

Bacterien, Viren Proteus vulgaris 2,7 7,8

Bacterium coli (inair)

0,7 2,1 Pseudomonasaeruginosa

5,5 16,5

Bacterium coli (inwater)

5,4 16,2 Pseudomonasfluorescens

3,5 10,5

Bacillus anthracis 4,5 13,7 S.tyyphimurium 8,0 24,0

S.enteritidis 4,0 12,0 Sarcina lutea 19,8 59,0

B.megatherium(veg.)

1,1 3,4 Serratia marcescens 2,5 7,2

B.megatherium sp. 2,8 8,0 Dysentery bacilli 2,2 6,6

B.paratyphosus 3,2 9,6 Shigellaparadysenteriae

1,7 5,2

13,prodiglosus 0,7 2,1 Spirillum rubrurn 4,4 13,0

B.pyocyaneus 4,4 13,2 Staphylococcus albus 1,8-3,3 5,4-10,0

B.subtilis spores 12,0 36,0 Staphylococcusaureus

2,2-4,9 6,6-14,8

Cornynebacteriumdiphteriae

3,4 10,0 Streptococcushemolyticus

2,2 6,6

Eberthella typhosa 2,1 6,3 Streptococcus lactis 6,1 18,0

Escherichia coli 3,0 9,0 Streptococcusviridans

2,0 6,0

Legionellapneumophila

0,92 2,76 Baccillus tuberculi 10,0 30,0

Micrococcuscandidus

6,3 19,0 Trichonomas 100,0 300,0

Micrococcuspiltonensis

8,1 24,0 Poliovirus 3,2 9,6

Micrococcussphaeroides

10,0 30,0 Infectus Hepatitis 5,8 17,4

Neisseriacatarrhalls

4,4 13,0 Influenza 3,4 10,2

Phytomonastumefaciens

4,4 13,0 Tobaco mosaic 240 720





Worldwide Opportunities

North America

South America

Asia

AustraliaAfrica

Europe

World-Wide Opportunities for FUV-222nm, Vendi222 system





THANK YOU

https://222nm.org




light is protecting - 222nm

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