26 May 2022

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Toxicity of Wood Smoke from Prescribed Fire

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The use of prescribed fire is expected to increase as more efforts are put in reducing the risks of catastrophic fire especially in the rainforests. Fire is particulate in nature, where it has small particles of less than 2.5 microns, while the small diameter PM are known to impact the climate, the rate of visibility and the health of living organisms ( Adetona et al., 2017) . Most of the studies have focused on the urban particulate and the toxicity of smoke from burning cigarettes. However, this work transcends above the existing literature, where it analyzes the toxicity of fine particles of fire generated in the process of combustion of prescribed fire ( Fernando et al., 2016) . The health effects of the <2.5 micron-sized particles of fire is not only related to the size, but also to the chemical composition ( Samburova et al., 2016) . The best example is the generation of polycyclic aromatic hydrocarbons that have mutagenic and carcinogenic effects during the burning of residential wood of the hard and soft woods, which depicts the chemical composition of the PM 2.5 .The project uses the Chinese Hamster Ovary (CHO) cells in the determination of the cytotoxicity and mutagenicity of extracts taken from particulate generated in the course of combustion of the prescribed fire. 

Purpose Statement 

The main objective of this project is to analyze cytotoxicity and mutagenicity of PM 2.5 generated during the prescribed fires of the Coconino National Forest around the areas of Flagstaff, AZ ( Halpern, 2016) . There are knowledge gaps in the toxicity of wood smoke generated from prescribed fire, where this research will contribute to this knowledge by analyzing the levels of toxins present in prescribed burns of the Coconino National Forest. 

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Overview of the Project 

The project involves testing of the levels of toxicity and mutagenicity of PM 2.5 collected during the prescribed fire in the stipulated location. The PM 2.5 is extracted in the form of organic solvents using 1M dichloromethane, and the solvent is exchanged into Dimethylsulfoxide (DMSO). The Chinese hamster ovary (CHO) is used to generate the dose-response curves for evaluation of the levels of toxicity of the extract ( Adetona et al., 2017) . The cells that are considered to be surviving the toxicity are tested for mutagenicity using essays generated from HPRT. 

Methodology 

Part1: Previous Work 

The project is a continuation of the previous work that was carried out by other group members. It does not underscore the efforts that were put into the work as the previous work forms the foundation for the continuity. The previous members had already done vital work such as: 

Collection of the PM 2.5 samples during the flaming and smoldering phases of combustion. 

The members had also analyzed the field blanks and lab blanks that were collected at the flaming and smoldering fire events as well as the determination of the levels of contamination. 

Materials 

The battery-operated PM 2.5 was used to sample the ambient, while the chemical speciation monitor equipped with a sharp-cut cyclone were used to remove particles having an aerodynamic diameter of >2.5 microns. The Teflon filters were then used to collect the samples that had previously been preconditioned in the control chamber. 

Part 2: Current Work 

The current work involves testing for the EOC cytotoxicity, where the fractions of the CHO cells that die due to exposure are determined ( Keir et al., 2017) . In addition, the work involves testing the EOC mutagenicity, where it the fractions of the CHO cells that mutate due to the EOC exposure are determined ( Jones et al., 2016) . Determination of the 24-h cell counts involved incubating the treated cells for 24 hours, where each new cell was counted for each cell. The data from the cell counts was used to create a dose-response curve ( Zu et al., 2016) . On the other hand, testing for the EOC mutagenicity was carried out using the HPRT mutation analysis ( Gaither et al., 2015) . The cytotoxicity tests were used to tell whether or not the organic extracts obtained from the fire generated from the PM 25 presented any toxic properties to the cells ( Gaither et al., 2015) . Their cytotoxicity was determined by the death rate of the untreated cells. 

On the other hand, mutagenicity was carried out by determining the CHO cells that underwent mutation considering that these cells have a gene coding for HRPT enzyme used in the process of DNA synthesis ( Dong et al., 2017) . The essay was determined in such a way that of the gene was normal, the 6-TG would engulf and kill the cells ( Johnston, & Bowman, 2014) . On the contrary, the genes that were found to have mutated would survive when inoculated with 6-TG, where they would form colonies ( Zu et al., 2016) . In this project, mutagenicity testing was carried out only in the cell cultures that were treated with the 100 uL dose of EOC and the negative and positive controls as shown in the table below. 

Table1: Colony Counts 

                 
Treated Cells (1.81 ug/uL EOC)       

CYTOXAN 

MUTAGEN 

   

 g in 

 g in 

     

24 hr 

8 day 

Dish 

Dose (L) 

5 mL 

0.1 mL 

24 hr cell 

8-day colony 

 

% survival 

mutants/1E6 cells 

10 

18.1 

0.36 

8517939 

(---) 

 

98% 

 

10 

18.1 

0.36 

8408847 

(---) 

 

97% 

 

10 

18.1 

0.36 

8440886 

(---) 

 

97% 

 
           

AVE 

97% 

 
           

SD 

1% 

 
                 

25 

45.3 

0.91 

7577715 

(---) 

 

87% 

 

25 

45.3 

0.91 

7373167 

(---) 

 

85% 

 

25 

45.3 

0.91 

7088138 

(---) 

 

82% 

 
           

AVE 

85% 

 
           

SD 

3% 

 
                 

10 

50 

90.5 

1.81 

6777715 

(---) 

 

78% 

 

11 

50 

90.5 

1.81 

6673167 

(---) 

 

77% 

 

12 

50 

90.5 

1.81 

6588138 

(---) 

 

76% 

 
           

AVE 

77% 

 
           

SD 

1% 

 
                 

13 

100 

181.0 

3.62 

5706539 

38 

 

66% 

18 

14 

100 

181.0 

3.62 

5800766 

41 

 

67% 

21 

15 

100 

181.0 

3.62 

6048063 

40 

 

70% 

20 

           

AVE 

67% 

20 

           

SD 

2% 

                 
Negative Control             

16 

50 uL DMSO   

8623541 

21 

 

99% 

17 

50 uL DMSO   

8812302 

20 

 

101% 

18 

50 uL DMSO   

8659899 

21 

 

100% 

           

AVE 

100% 

           

SD 

1% 

                 
Positive Control             

19 

30 uM Cr(VI)   

3216445 

42 

 

37% 

22 

20 

30 uM Cr(VI)   

2897542 

43 

 

33% 

23 

21 

30 uM Cr(VI)   

3104622 

41 

 

36% 

21 

           

AVE 

35% 

22 

           

SD 

2% 

                 
                 

Table 1: Colony Counts 

The surviving cells were then transferred from each of the harvest tubes into new 100 m dishes containing 9ml of 6TG solution to test for mutagenicity ( Dong et al., 2017) . α-MEM was added until the volume had reached the 100ml label. The dishes were then taken to the incubator at normal body temperature with 5% Carbon dioxide ( Adetona et al., 2017) . The α-MEM was changed every two days with the consistent addition of EDTA to ensure that the cells are dislodged from the sides of the walls ( Keir et al., 2017) . The cells were then harvested and counted, where each living cell was found to be existing in the form of colonies. The mutagenicity was then expressed as mutants per 1 x 10 6 cells. The results were then recorded as shown: 

Results and Discussion 

Result 1: Results for the treatment of CHO AA8 cells with PM 25 from Rx1 (Ignition/Flaming)

Rx1 (ignite/flam)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

18.1 

0.36 

97% 

1% 

(---) 

(---) 

45.3 

0.91 

85% 

3% 

(---) 

(---) 

90.5 

1.81 

77% 

1% 

(---) 

(---) 

181.0 

3.62 

67% 

2% 

20 

           

(-) control 

 

100% 

1% 

(+) control 

 

35% 

2% 

22 

           

Discussion 1 

The results above show the percentage between the cells in the treated dish and the average cells in the untreated dishes, which is the cytotoxicity at the ignition/smoldering phase. The results show that there is a correlation between concentration of the EOC in the PM 2.5 and the toxicity levels of the p-prescribed fire ( Adetona et al., 2017) . The results prove the fact that the increase in the levels of EOC exposure results in more deaths of the CHO cells at the ignition and smoldering phase. 

Results Table 2: Treatment with CHO AA8 Cells with PM-2.5 from Rx1 (smoldering)

Rx1 (smoldering)         

ug EOC 

ug EOC 

% survival 

SD 

mutants per 

 

(in 5 mL) 

(in 100 uL) 

   

1E6 cells 

SD 

13.9 

0.28 

   

(---) 

(---) 

34.8 

0.70 

   

(---) 

(---) 

69.5 

1.39 

   

(---) 

(---) 

139.0 

2.78 

       
           

(-) control 

         

(+) control 

         
           

Discussion 2: 

The results above show the percentage between the cells in the treated dish and the average cells in the untreated dishes, which is the cytotoxicity at the smoldering phase alone ( Samburova et al., 2016) . It depicts that there are high numbers of CHO cells that die since EOC content in the PM-2.5 are high at this phase of ignition of the predicted fire ( Gaither et al., 2015) . There are higher levels of death of the CHO cells at the smoldering phase as compared to the ignition phase due to the fact that the EOC content at this phase is relatively higher. 

Results 3: Treatment of CHO AA8 cells with PM-2.5 Rx2 (Ig/Flam)

Rx2 (ignit/flam)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

22.0 

0.44 

   

(---) 

(---) 

55.0 

1.10 

   

(---) 

(---) 

110.0 

2.20 

   

(---) 

(---) 

220.0 

4.4 

       
           

(-) control 

         

(+) control 

         
           

Discussion 3: 

The results above show the percentage between the cells in the treated dish and the average cells in the untreated dishes, which is the cytotoxicity at the ignition/inflammation phase ( Adetona et al., 2017) . The results are also consistent with the consideration that the high levels of concentration of the OCE levels are high at the ignition and flaming phase considering that the percentage of the total CHO cells that die at this phase is higher as compared to the ignition phase alone. 

Data Analysis 

Percentage cell survival for each dose 

Treated Cells (1.81ug/uL EOC)

Rx1 (ignite/flam)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

18.1 

0.36 

97% 

1% 

(---) 

(---) 

45.3 

0.91 

85% 

3% 

(---) 

(---) 

90.5 

1.81 

77% 

1% 

(---) 

(---) 

181.0 

3.62 

67% 

2% 

20 

           

(-) control 

 

100% 

1% 

(+) control 

 

35% 

2% 

22 

           

The results above show the percentage survival for the treated cells using the dosage of 1.81ug/uL EOC. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3072870/8682272) x 100 = 35%. 

This implies that the toxicity of the PM-2.5 at the ignition/flamation phase is 35%. 

Dosage: 1.39 ug/ul EOC

Rx1 (smoldering)         

ug EOC 

ug EOC 

% survival 

SD 

mutants per 

 

(in 5 mL) 

(in 100 uL) 

   

1E6 cells 

SD 

13.9 

0.28 

93% 

 

(---) 

(---) 

34.8 

0.70 

77% 

 

(---) 

(---) 

69.5 

1.39 

67% 

 

(---) 

(---) 

139.0 

2.78 

56% 

 

22 

 
           

(-) control 

 

98% 

 

(+) control 

 

36% 

 

23 

 
           

The results above show the percentage survival for the treated cells using the dosage of 1.39 ug/uL OEC. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3515066/9648909) x 100 = 36%. 

This implies that the toxicity of the PM-2.5 at the smoldering phase is 36%. The percentage at the smoldering phase is higher than that of the ignition/flamation phase. This shows that the amount of cytotoxins at the smoldering phase is more in the predicted fire. 

Dosage: 2.20 ug//ul

Rx2 (ignit/flam)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

22.0 

0.44 

92% 

 

(---) 

(---) 

55.0 

1.10 

88% 

 

(---) 

(---) 

110.0 

2.20 

76% 

 

(---) 

(---) 

220.0 

4.4 

68% 

 

21 

 
           

(-) control 

 

97% 

 

 

(+) control 

 

38% 

 

23 

 
           
           

The results above show the percentage survival for the treated cells using the dosage of 2.20 ug/uL OEC during the ignition/flamation phase. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3799839/10654995) x 100 = 36%. 

The percentage survival for the ignition/flamation phase with a dosage of 2.20 ug/uL OEC is 36%, which is higher than that of the ign/flam phase with a dosage of 1.81 ug.uL above. This shows that the higher the dosage of OEC results in higher levels of toxicity. 

Dosage 1.46 ug/ul

           
Rx2 (smoldering)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

14.6 

0.29 

95% 

 

(---) 

(---) 

36.5 

0.73 

83% 

 

(---) 

(---) 

73.0 

1.46 

63% 

 

(---) 

(---) 

146.0 

2.92 

54% 

 

19 

 
           

(-) control 

 

88% 

 

 

(+) control 

 

35% 

 

24 

 
           

The results above show the percentage survival for the treated cells using the dosage of 1.46 ug/uL OEC during the smoldering phase. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3333172/8717263) x 100% = 38% 

The toxicity of the predicted fire during the smoldering phase with the dosage of 1.46 ug/uL is 38%, which is higher than that of 1.39 ug/ul at the smoldering phase. This confirms that the higher the dosage of OEC, the higher the toxicity of the PM-2.5. 

Dosage: 2.90 ug/ul

Rx3 (ignit/flam)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

29.0 

0.58 

96% 

 

(---) 

(---) 

72.5 

1.45 

83% 

 

(---) 

(---) 

145.0 

2.90 

69% 

 

(---) 

(---) 

290.0 

5.8 

61% 

 

17 

 
           

(-) control 

 

100% 

 

 

(+) control 

 

39% 

 

24 

 
           

The results above show the percentage survival for the treated cells using the dosage of 2.90 ug/uL OEC during the smoldering phase. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3836122/10608667) x 100% = 36.1% 

The percentage is higher as compared to that at the dosage of 2.2 during the ign/flam phase. This implies that the higher the dosage of OEC is, the higher the toxicity of the PM-2.5. 

Dosage: 1.42ug/ul

Rx3 (smoldering)         

 g in 

 g in 

% survival 

SD 

mutants per 

 

5 mL 

0.1 mL 

   

1E6 cells 

SD 

14.2 

0.28 

94% 

 

(---) 

(---) 

35.5 

0.71 

76% 

 

(---) 

(---) 

71.0 

1.42 

62% 

 

(---) 

(---) 

142.0 

2.84 

51% 

 

22 

 
           

(-) control 

 

102% 

 

 

(+) control 

 

48% 

 

25 

 
           

The results above show the percentage survival for the treated cells using the dosage of 1.42 ug/uL OEC during the smoldering phase. The percentage cell survival can be calculated as 

% survival = Treated cell count /Average untreated cell Count 

= ( 3188687/8853897) x 100 = 36.0% 

The percentage is lower as compared to that at the dosage of 1.46 ug/uL during the smoldering phase. This implies that the higher the dosage of OEC is, the higher the toxicity of the PM-2.5 ( Halpern, 2016)

Dose Response Curve 

The dose-response curve above shows that the percentage survival of the CHO cells reduced consistently with the increase in the OEC levels. Since the results above have shown that the transition from ignition to flaming to smoldering had a subsequent increase in the OEC levels, the dose-responsive graph is also consistent as it depicts the reduction in survival rates with the movement from the phase of ignition to smoldering of the predicted fire ( Dong et al., 2017)

The toxicity of the fine particulate matter generated during the prescribed burns of Coconino National Forest has been found out to be influenced by the chemical composition of the specific matter. On the other hand, the levels of toxicity depend on the phase of burning, where it increases from the ignition, to the flaming to the smoldering phase consecutively. This is because the size and composition of these phases are different, while the health effects of the PM 2.5 are known to depend on these characteristics. In this case, smoldering favors the production of PHA, while the flaming phase favors complete combustion into the volatile organics, which creates the variation in the chemical composition of the fire produced and the consequent levels of toxicity. 

References 

Adetona, A. M., Adetona, O., Gogal Jr, R. M., Diaz-Sanchez, D., Rathbun, S. L., & Naeher, L. P. (2017). Impact of Work Task-Related Acute Occupational Smoke Exposures on Select Proinflammatory Immune Parameters in Wildland Firefighters.  Journal of occupational and environmental medicine 59 (7), 679-690. 

Dong, T. T., Hinwood, A. L., Callan, A. C., Zosky, G., & Stock, W. D. (2017). In vitro assessment of the toxicity of bushfire emissions: A review.  Science of the Total Environment 603 , 268-278. 

Fernando, S., Shaw, L., Shaw, D., Gallea, M., VandenEnden, L., House, R., ... & McCarry, B. E. (2016). Evaluation of firefighter exposure to wood smoke during training exercises at burn houses.  Environmental science & technology 50 (3), 1536-1543. 

Gaither, C. J., Goodrick, S., Murphy, B. E., & Poudyal, N. (2015). An exploratory spatial analysis of social vulnerability and smoke plume dispersion in the US South.  Forests 6 (5), 1397-1421. 

Halpern, A. (2016).  Prescribed fire and tanoak (Notholithocarpus densiflorus) associated cultural plant resources of the Karuk and Yurok Peoples of California (Doctoral dissertation, UC Berkeley). 

Johnston, F. A. Y., & Bowman, D. (2014). Bushfire smoke: an exemplar of coupled human and natural systems.  Geographical Research 52 (1), 45-54. 

Jones, B. A., Thacher, J. A., Chermak, J. M., & Berrens, R. P. (2016). Wildfire smoke health costs: a methods case study for a Southwestern US ‘mega-fire’.  Journal of Environmental Economics and Policy 5 (2), 181-199. 

Keir, J. L., Akhtar, U. S., Matschke, D. M., Kirkham, T. L., Chan, H. M., Ayotte, P., ... & Blais, J. M. (2017). Elevated Exposures to Polycyclic Aromatic Hydrocarbons and Other Organic Mutagens in Ottawa Firefighters Participating in Emergency, On-Shift Fire Suppression.  Environmental science & technology 51 (21), 12745-12755. 

Samburova, V., Connolly, J., Gyawali, M., Yatavelli, R. L., Watts, A. C., Chakrabarty, R. K., ... & Khlystov, A. (2016). Polycyclic aromatic hydrocarbons in biomass-burning emissions and their contribution to light absorption and aerosol toxicity.  Science of the Total Environment 568 , 391-401. 

Zu, K., Tao, G., Long, C., Goodman, J., & Valberg, P. (2016). Long-range fine particulate matter from the 2002 Quebec forest fires and daily mortality in Greater Boston and New York City.  Air Quality, Atmosphere & Health 9 (3), 213-221. 

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