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Ultraviolet Germicidal Irradiation (UVGI)

The use of ultraviolet germicidal irradiation (UVGI) for the sterilization of microorganisms has been studied since the 1930s. Microbes are uniquely vulnerable to the effects of light at wavelengths at or near 2537 Angstroms (253.7 nanometers) due to the resonance of this wavelength with molecular structures. Looking at it another way, a quanta of energy of ultraviolet light possesses just the right amount of energy to break organic molecular bonds. This bond breakage translates into cellular or genetic damage for microorganisms. The same damage occurs to humans, but is limited to the skin and eyes.

The ultraviolet component of sunlight is the main reason microbes die in the outdoor air. The die-off rate in the outdoors varies from one pathogen to another, but can be anywhere from a few seconds to a few minutes for a 90-99% kill of viruses or contagious bacteria. Spores, and some environmental bacteria, tend to be resistant and can survive much longer exposures. UVGI systems typically use much more concentrated levels of ultraviolet energy than are found in sunlight.

 

Some properly designed, and well-maintained, UVGI installations have proven highly effective, as in certain hospitals, and some studies performed in schools. CDC guidelines recommend the use of UVGI only with the simultaneous use of HEPA filters and high rates of purge airflow. The germicidal effects can also be species-dependent.

Laboratory tests have achieved extremely high rates of mortality under idealized conditions. In actual applications, many factors can alter the effectiveness of UVGI, including the following :

Exposure time (the air velocity must allow for a sufficient dose).
Room air mixing (for non-powered applications like ceiling units).
Power levels.
The presence of moisture or particulates provide protection for microbes.
Dust settling on light bulbs can reduce exposures, maintenance is necessary.

One especially effective application of UVGI is the control of microbial growth in air handling unit cooling coil and filter assemblies. The constant exposure has been found to be very effective at controlling fungal growth, either because the spores are inactivated, or perhaps because mycelial growth cannot be sustained under continuous exposure.

Certain types of UVGI designs seem to provide a much higher rate of disinfection than standard models operating at nearly identical spectrums, the difference being the result of improvements in the electrical power controls and regulation of internal plasma temperature, resulting in the generation of a more constant energy density at a distance from the light source.

Viruses are especially susceptible to UVGI, more so than bacteria, but are also very difficult to filter. Some studies have shown that viruses are more sensitive to ultraviolet radiation at wavelengths somewhat above the normal UVGI broad-band wavelength of 2537 A (Rauth 1965; Setlow 1961). A combination of filtration for bacteria and spores, with UVGI for viruses may be an optimum combination if all components are sized appropriately.

UVGI THEORY & RATE CONSTANTS FOR AIRBORNE PATHOGENS

UVGI inactivates pathogens according to the standard decay equation

S = exp(-kt)

In this equation S represents the fraction of the original population that survives exposure at time t. The rate constant k has been determined experimentally for a number of bacteria, viruses and spores, at different power levels. Summarized below are many of the known rate constants for the indicated pathogens. Since many researchers have obtained values that differ, they have all been included. The variations in rate constants have been charted, and also compared in terms of the time to achieve a 99% kill at 25 microwatts/sq.cm. (μW/cm2). The source documents may be found in the references.

UVGI RATE CONSTANTS AT 25 microwatt/cm2

Microorganism

Microbial Group

Rate Constant (1/sec.)

Time for 99% Kill (seconds)

Reference

Intensity μW/cm2

           
Adenovirus

Virus - DNA

6.2518

0.03

Jensen 1964

0.538

   

0.0047

39.19

Rainbow 1973

1389

Coxsackievirus

Virus - RNA

6.7779

0.03

Jensen 1964

0.538

   

2.2532

0.08

Hill 1970

11.6

Influenza A

Virus - RNA

8.967

0.02

Jensen 1964

0.538

   

0.001

184.21

Westinghouse data  
Echovirus

Virus - RNA

2.6969

0.07

Hill 1970

11.6

Vaccinia

Virus - DNA

9.4165

0.02

Jensen 1964

0.538

Reovirus

Virus - RNA

2.0095

0.09

Hill 1970

11.6

Staphylococcus aureus

Bacteria - GP

0.1243

1.5

Wells 1955  
   

0.0921

2.0

Sharp 1939  
   

0.0886

2.1

Mitscherlich (T45)  
   

0.0028

65.8

Kundsin 1968

25

   

0.0012

153.5

Gates 1929

1.1

   

0.0009

204.7

Westinghouse data  
Mycobacterium tuberculosis

Bacteria - GP

0.0981

1.9

David 1973

4

   

0.0774

2.4

Wells 1955  
   

0.0011

167

Collins 1971

40

   

0.0007

263

Westinghouse data  
Mycobacterium kansasii

Bacteria - GP

0.009

20.5

David 1973

4

Mycobacterium avium-intra.

Bacteria - GP

0.0097

19.0

David 1973

4

Streptococcus pyogenes

Bacteria - GP

0.1066

1.7

Mitscherlich (T45)  
   

0.0006

307.0

Lidwell

2.6

Bacillus anthraci

Bacteria - GP

0.0509

3.6

Mitscherlich (T45)  
(spores?)  

0.0008

230.3

Westinghouse data  
Corynebacterium diptheriae

Bacteria - GP

0.0683

2.7

Mitscherlich (T45)  
   

0.0679

2.7

Sharp 1939  
   

0.0011

167.5

Westinghouse data  
Serratia marcescens

Bacteria - GN

0.0022

83.7

Collins 1971

40

Neisseria meningitidis

Bacteria - GN

0.0028

65.8

Kundsin 1968

25

Moraxella-Acinetobacter

Bacteria - GN

0.000002

92103

Keller 1982

0.22

Haemophilus influenzae

Bacteria - GN

0.00005

3684

Mongold 1992

1

Pseudomonas aeruginosa

Bacteria - GN

0.0419

4.4

Mitscherlich (T45)  
   

0.0026

70.8

Collins 1971

40

   

0.0007

263.2

Westinghouse data  
   

0.0005

368.4

Abshire 1981

100 in soln.

Legionella pneumophila

Bacteria - GN

0.003

61.4

Antopol 1079

50

   

0.0019

97.0

unidentified Figure

1

   

0.0018

102.3

Westinghouse data  
E. coli (reference)

Bacteria - GN

0.0921

2.0

Sharp 1939  
   

0.0008

230.3

Westinghouse data  
Mycoplasma pneumoniae

Bacteria

0.0046

40.0

Kundsin 1968

25

Cryptococcus neoformans

Fungi

0.0002

921

Wang 1994  
Mucor ramosissimus spores

Fungi

0.0002

921

Westinghouse data  
Penicillium expensum spores

Fungi

0.0003

614

Westinghouse data  
Aspergillus niger spores

Fungi

0.00002

9210

Westinghouse data  
Aspergillus flavus spores

Fungi

0.00004

4605

Westinghouse data  
Aspergillus glaucus spores

Fungi

0.00005

3684

Westinghouse data  
Rhizopus nigricans spores

Fungi

0.00002

9210

Westinghouse data  

Selective Averages

of Rate Constants

Microbial Group

Average Rate Constant (1/s)

Viruses 5.26582
Gram Negative Bacteria 0.01235
All Bacteria 0.02174
Gram Positive Bacteria 0.03307
Spores 0.00012

Kill Factors for Various Pathogens

Energy Needed for kill factor (Microwatt seconds per square centimeter)

Mold Spores

Color

90% Kill

100% Kill

Aspergillius flavis

Yellowish green

66,000

99,000

Aspergillius glaucus

Bluish green

44,000

88,000

Aspergillius niger

Black

132,000

330,000

Mucor racemosus A

White gray

17,000

352,000

Mucor racemosus B

White gray

17,000

352,000

Oospora lactis

White

5,000

11,000

Penicillium expansum

Olive

13,000

22,000

Penicillium roqueforti

Green

13,000

26,400

Penicillium digitatum

Olive

44,000

88,000

Rhisopus nigricaans

Black

111,000

220,000

Energy Needed for kill factor (Microwatt seconds per square centimeter)

Bacteria

90% Kill

100% Kill

Bacillius anthracis

4,520

8,700

Bacillius magaterium sp. (spores)

2,730

5,200

Bacillius magaterium sp. (veg.)

1,300

2,500

Bacillius paratyphusus

3,200

6,100

Bacillius subtilis spores

11,600

22,000

Bacillius subtilis

5,800

11,000

Clostridium tetani

13,000

22,000

Corynebacterium diphtheriae

3,370

6,500

Eberthella typosa

2,140

4,100

Escherichia coli

3,000

6,600

Leptospira Canicoal – infectious Jaundice

3,150

6,000

Microccocus candidus

6,050

12,300

Microccocus spheriodes

1,000

15,400

Mycobacterium tuberculosis

6,200

10,000

Neisseria catarrhalis

4,400

8,500

Phtomonas tumeficiens

4,400

8,000

Proteus vulgaris

3,000

6,600

Pseudomonas aeruginosa

5,500

10,500

Pseudomonas fluorescens

3,500

6,600

Salmonella enteritidis

4,000

7,600

Salmonella enteritidis

4,000

7,600

Salmonella paratyphi-enteic fever

3,200

6,100

Salmonella typhosa – typhoid fever

2,150

4,100

Salmonella typhimurium

8,000

15,200

Sarcinia lutea

19,700

26,400

Serratia marcesens

2.420

6,160

Shigella dysenteriae – Dysentery

2,200

4,200

Shigella flexneri – Dysentary

1,700

3,400

Shigella paradysenteriae

1,680

3,400

Spirillum rubrum

4,400

6,160

Staphylococcus albus

1,840

5,720

Staphylococcus aureus

2,600

6,600

Streptococcus hemolyticus

2,160

5,500

Streptococcus lactis

6,150

8,800

Streptococcus viridans

2,000

3,800

Vibrio comma – Cholera

3,375

6,500

Energy Needed for kill factor (Microwatt seconds per square centimeter)

Protozoa

90% Kill

100% Kill

Chlorella vulgaris

13,000

22,000

Nematode eggs

4,000

92,000

Paramecium

11,000

20,000

Energy Needed for kill factor (Microwatt seconds per square centimeter)

Virus

90% Kill

100% Kill

Bacteriophage (E. Coli)

2,600

6,600

Infectious Hepatitis

5,800

8,000

Influenza

3,400

6,600

Poliomyelitis – Polio

3,150

6,000

Smallpox

   

Tobacco mosaic

240,000

440,000

Energy Needed for kill factor (Microwatt seconds per square centimeter)

Yeast

90% Kill

100% Kill

Brewers yeast

3,300

6,600

Common cake yeast

6,000

13,200

Saccharamyces carevisiae

6,000

13,200

Saccharamyces ellipsoideus

6,000

13,200

Saccharamyces sp.

8,000

17,600

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