Section: ENGINEERING AND TECHNOLOGY Open Access Logo

Comparison of moss bag and native moss technique in monitoring airborne particulate and toxic elements

Nguyen Thi Minh Sang 1
Le Hong Khiem 2
Son An Nguyen 1, *
  1. Dalat University, Dalat, Vietnam
  2. 2Institute of Physics of Vietnamese Academy of Science and Technology, Hanoi, Vietnam
Correspondence to: Son An Nguyen, Dalat University, Dalat, Vietnam. Email: sonna@dlu.edu.vn.
Volume & Issue: Vol. 24 No. 2 (2021) | Page No.: 1967-1974 | DOI: 10.32508/stdj.v24i2.2531
Published: 2021-05-15

Online metrics


Statistics from the website

  • Abstract Views: 1998
  • Galley Views: 3048

Statistics from Dimensions

Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Introduction: In Vietnam, the government has invested in monitoring stations in a few big cities like Hanoi and Ho Chi Minh City, which have transportation centers and industrial zones, to assess and predict levels of air pollution. However, the main disadvantage of installing monitoring stations is the cost of investment for operations, maintenance, and equipment. It is also time-consuming to collect and analyze the results. Therefore, it is generally not suitable for the country as a whole.

Methods: Using mosses to monitor air quality brings qualitative and quantitative data with simple, environmentally-friendly economic methods. Mosses have particular biological characteristics that make them very suitable adsorbents for a wide variety of chemical elements. When used as transplants like moss bags, allow them to monitor a highly dense sampling network of any site easily. Mosses are bioindicators, plants with artificial roots.

Results: In this study, moss bag and native moss were the two methods used to evaluate the accumulation of trace elements in air through Barbula Indica. Observations showed that both methods could detect the same elements: Al, Si, P, S, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Br, Rb, Y, Sb, Ba, Pb, and U. However, the accumulation of the elements in native moss is higher than in moss bag. The main reason is that the absorption efficiency of native moss in air-deposited elements is higher than in moss bags.

Conclusion: Moss bags have been used most extensively and successfully in urban areas, where vegetation samples are either unobtainable or are poorly located to the source. These areas can lack moss, or the native moss simply does not grow during the dry season.

INTRODUCTION

Biomonitor represents a good solution for air quality monitoring. Vuković, 1 has shown that bioindicator monitoring is a simple and cost-effective method to evaluate pollutants in the atmosphere. Biomonitor organisms like lichens and moss can be considered bioindicators or bio accumulators.

The moss bag technique was introduced by Goodman and Roberts2. Since then, it has been a valuable technique for detecting airborne contaminants, such as heavy metals and nonmetals.

The moss bag technique is helpful in doing a detailed survey of polluted urban areas, where moss cannot grow naturally3. Moreover, this technique does not require maintenance or a source of electricity to continue operation. Another essential difference between the moss bag technique and instrumental measurements is sampling time4. Instrumental measurements are usually done in a short period, providing daily pollutant concentrations. On the other hand, Moss bags play a long-term role in the collection of statistical pollutants. Long-term sampling is a prerequisite for assessing the cumulative exposure to a given contaminant and its harmful effect on human health.

Since 2014, Vietnam has participated in projects with European countries to investigate environmental pollution through metal deposition in the air. Together, they have developed research directions on air pollution on the moss indicator. Initially, works related to air pollution by the technique were published5, 6, 7, 8.

In this study, two methods are used: native and moss bag. The method of detection is Total Reflection X-ray Fluorescence (TXRF), a multi-element analysis technique. It is used to determine qualitative and quantitative elements from the air in the town of Lac Duong.

Materials — Methods

Sampling area

was used in native moss and moss bag. The time of the survey was from the beginning of November, 2020 to February, 2021. The research was conducted in Lac Duong, Lamdong, Vietnam.

Moss bag exposure was at 2 meters high, the same height as collected fresh moss. Table 1, and Figure 1 show the sampling area.

Table 1

The local moss samples network

No.

Sampling site

Place

Latitude

Longitude

1

LD01

Lac Duong

12.003704

108.412293

2

LD02

Top of Langbiang moutain

12.046528

108.440146

3

LD03

Langbiang tourist area

12.020075

108.419331

4

LD04

Strawbery farm, Lac Duong

12.000362

108.434013

5

LD05

Van Xuan - DT723

12.020963

108.443454

Figure 1

Sampling study area site.

In this study, 5 sites in Lac Duong were selected to evaluate the effects of different possible pollution sources, specifically:

Native moss preparation

After collection, only the green part of the moss is used for analysis. Therefore, Moss must be handled carefully, avoiding contamination from soil or rock, or other plants. In order to ensure the exact sampling location and minimize the external impact on the collected moss, it is necessary to prepare gloves and zip bags and use GPS to determine the location. Moss sampling points are selected according to pollution sources and clean areas, with a 3 to 5 kilometer distance between the nearest two sampling points.

Moss samples are treated before being put into experimental measurements. The process of treating moss samples (from collection to drying) is shown below in Figure 2.

Figure 2

The process of sample treatment.

Moss bag preparation

The studies show that the selection of moss spices in the algae bag technique depends on the degree of deformation of the type of algae in the study area and the ability of the algae to absorb and adapt to pollution in that area9. The composition of the chemical elements in old shoots and young buds of moss is different10, and the absorption of the moss bags is also different from that of fresh ones11. In this study, moss was selected as a biological indicator in a moss bag. The steps were as follows:

Figure 3

Moss bag.

TXRF technique

This study used a microwave digestion digester MARS 6 (Figure 4) to prepare samples in TXRF technique and homogenize the moss sample. The manipulations were carried out on the MARS 6 microwave digestion machine for moss samples: mix 0.5 g of the dried moss with 10 ml of HNO (Merck) (65%) it in the digestion flask. The digestion time includes 15 minutes for heating to 220 C, 25 minutes for annealing, then natural cooling to room temperature. After finishing the microwave digestion, the moss was completely liquefied.

Figure 4

MARS 6 microwave digestion.

For analysis on TXRF, the liquefied moss requires an internal standard solution. In this study, the internal standard of Galium was used, with a concentration of 1 ppm.

To create a uniform surface for the sample,10 µl of silicone should be applied to the sample carrier (plate), then dried at 40 C for 20 minutes. The specimen carrier used is a quartz glass disc, which has many advantages: high purity, low background, and easy cleaning12. After the dish is dried, add 10 µl of the sample solution to the measured center of the dish - the diameter of the drop should not exceed 10 mm - and continue to dry at 35C for 40 minutes.

In addition to the size requirement for the diameter, the droplet, after being dripped onto the sample carrier and dried, must also satisfy the thickness requirement - namely, not to exceed 100 µm (Figure 5).

Figure 5

Maximum sample diameter and thickness.

After the sample preparation, continue to place the carriers' sample on the dryer to allow the sample to dry completely. The measuring system in the TXRF analysis is a S2 PICOFOX device. Steps to create moss samples for the TXRF measurement method can be shown in Figure 6.

Figure 6

Steps to create moss samples for TXRF.

TXRF Type S2 PICOFOX is a semi-automatic analytical system, qualitative and quantitative analysis of multiple elements, detection threshold to ppb (µg/kg), wide-range analysis of elements from Al to U. Creation of the system includes: X-ray tube (Molipden target), emitted 17.5 keV energy, working at a voltage of 50 kV, current of 1000 µA. The single-function filter is a multilayer crystal made of copper metal. X-ray acquisition detector is a semiconductor detector of SDD type. The system consists of the main components shown in Figure 7.

Figure 7

TXRF S2 PICOFOXTM spectrometer.

RESULTS

Figure 8

The TXRF spectrum pattern of moss samples.

Table 2

The concentration of chemical elements in the native moss (mg/kg)

No.

Sample

LD01

LD02

LD03

LD04

LD05

Mean

Ele.

Con.

±

Con.

±

Con.

±

Con.

±

Con.

±

1

Al

1837

74

1870

75

4031

161

1773

71

1442

58

2191

2

Si

2825

113

4585

183

9970

399

4700

188

3698

148

5156

3

P

287

12

922

37

738

30

520

21

531

21

600

4

S

482

19

1216

49

1286

52

896

36

1090

44

994

5

Ca

781

31

742

30

763

31

770

31

714

29

754

6

Ti

107

4

122

5

194

8

206

8

105

4

147

7

V

6.86

0.37

8.45

0.44

6.69

0.37

10.82

0.53

4.93

0.30

7.55

8

Cr

5.19

0.31

5.37

0.31

10.38

0.52

11.18

0.55

5.10

0.30

7.44

9

Mn

121.00

4.96

61.00

2.53

89.00

3.66

51.00

2.14

53.00

2.21

75.00

10

Fe

3955

158

2400

96

4456

178

2565

103

1928

77

3061

11

Co

1.39

0.16

0.70

0.13

1.24

0.15

0.57

0.12

0.58

0.12

0.90

12

Ni

0.95

0.14

1.28

0.15

2.66

0.21

1.88

0.18

0.76

0.13

1.51

13

Cu

10.86

0.53

10.51

0.52

14.33

0.67

5.95

0.34

9.49

0.48

10.23

14

Zn

76

3

188

8

155

6

52

2

138

6

122

15

Br

2.99

0.22

2.05

0.18

6.05

0.34

2.27

0.19

2.31

0.19

3.13

16

Rb

24.11

1.06

6.86

0.37

15.66

0.73

16.90

0.78

12.23

0.59

15.15

17

Y

24.82

1.09

1.13

0.15

1.72

0.17

6.93

0.38

0.69

0.13

7.06

18

Sb

0.33

0.11

0.07

0.10

0.38

0.12

0.04

0.10

0.14

0.11

0.19

19

Ba

2.22

0.19

23.39

1.04

20.05

0.90

3.17

0.23

21.44

0.96

14.05

20

Pb

4.77

0.29

5.49

0.32

6.81

0.37

4.68

0.29

2.83

0.21

4.92

21

U

3.12

0.27

1.67

0.15

1.21

0.11

1.47

0.13

1.95

0.17

1.88

Table 3

The concentration of chemical elements in the active moss (mg/kg)

No.

Sample

LD01

LD02

LD03

LD04

LD05

Mean

Ele.

Con.

±

Con.

±

Con.

±

Con.

±

Con.

±

1

Al

1580

110

1613

113

3363

235

1327

93

1277

89

1832

2

Si

2995

170

5335

276

10831

580

4522

245

4284

229

5593

3

P

227

17

731

55

566

43

357

27

432

33

462

4

S

448

29

1134

73

1160

75

725

47

1044

67

902

5

Ca

843

47

804

45

799

44

723

40

794

44

793

6

Ti

79

6

91

7

139

11

133

11

80

6

104

7

V

4.64

0.41

5.73

0.51

4.39

0.39

6.36

0.56

3.43

0.30

4.91

8

Cr

4.81

0.31

4.99

0.32

9.32

0.60

9.01

0.58

4.86

0.32

6.60

9

Mn

106

7

54

4

76

5

39

3

48

3

65

10

Fe

3000

237

1826

144

3279

259

1693

134

1506

119

2261

11

Co

1.30

0.08

0.66

0.04

1.13

0.07

0.47

0.03

0.56

0.04

0.82

12

Ni

0.83

0.06

1.13

0.08

2.27

0.15

1.44

0.10

0.69

0.05

1.27

13

Cu

11.79

0.65

11.45

0.63

15.10

0.83

5.62

0.31

10.62

0.59

10.91

14

Zn

81

5

200

11

159

9

48

3

151

9

128

15

Br

3.55

0.18

2.44

0.12

6.98

0.35

2.35

0.12

2.83

0.14

3.63

16

Rb

16.30

1.45

4.65

0.41

10.27

0.91

9.94

0.88

8.52

0.76

9.93

17

Y

16.38

1.49

0.75

0.07

1.10

0.10

3.98

0.36

0.47

0.04

4.54

18

Sb

0.18

0.02

0.04

0.00

0.20

0.02

0.02

0.00

0.08

0.01

0.10

19

Ba

2.19

0.13

23.13

1.41

19.18

1.17

2.72

0.17

21.77

1.32

13.80

20

Pb

3.75

0.29

4.33

0.33

5.19

0.40

3.20

0.24

2.29

0.17

3.75

21

U

3.39

0.19

1.82

0.10

1.27

0.07

1.39

0.08

2.18

0.12

2.01

TXRF measurement samples were conducted on an S2 PICOFOXTM spectrometer. The measuring time was 600 seconds per sample. The fit quality is a statistical parameter, which allows conclusions about the quality of the deconvolution. The standardized square sum of the differences between the measured and the calculated, deconvoluted intensities is calculated for all channels. Preferably, the value for the fit quality should be less than 10. High values (>10) indicate misidentified or non-identified elements respectively for an inaccurate gain correction. The following function is used to fit the following equation:

where n is the first channel of the peak i (the left channel); n is the end channel of the peak i (the right channel); y the counts of channel i+1; y the counts of channel i.

where δ is the standard deviation for the peak area; N is net peak area for the element i; N is the background area.

The TXRF method has identified 21 elements, including Al, Si, P, S, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Br, Rb, Y, Sb, Ba, Pb, and U. Figure 5,Table 2 and Table 3 present the measurement results.

DISCUSSION

The chemical elements deposited in the air were conducted by two methods: native moss and active moss in Lac Duong town (Lam Dong Province). The results showed that:

CONCLUSION

This study used moss bags and native moss to investigate the deposition of chemical elements in the air in Lac Duong town. The results of analysis by TXRF technique identified 21 elements. The results showed that the concentration of element deposition in the Lac Duong atmosphere was quite low compared to other studies in a few big cities in Vietnam.

This method can be applied through the moss bag technique when making biological observations to survey the air-deposited elements in the urban area – where there is a lack of native moss, or where native moss is difficult to grow. Because of low cost, this technique is also suitable for the assessment of air quality, regardless of environment, location, or topography. Additionally, it is very convenient to build environmental monitoring networks to have an overview of future environmental change.

COMPETING INTERESTS

The authors commit that they have no competing interests.

ACKNOWLEDGEMENTS

This research is supported by Dalat University under the project from 2021.

AUTHORS CONTRIBUTIONS

L. H. Khiem proposed the experimental plan, implemented the experiment. N. A. Son, N. T. M. Sang performed the experiments and literature review, compiled the data and manuscript preparation.

References

  1. G. Vuković, M.A. Urošević. Moss bag biomonitoring of airborne toxic element decrease on a small scale: A street study in Belgrade, Serbia. Science of the Total Environment. 2016; 542: 394-403.
  2. T.G. Goodman, T.M. Roberts. Plants and soils as indicators of metals in the air. Nature. 1971; 231: 287-292.
  3. G. Kosior, M. Ciężka. δ34S values and S concentrations in native and transplanted Pleurozium schreberi in a heavily industrialized area. Ecotoxicol. Environ. Saf. 2015; 118: 112-117.
  4. S. Calabrese, W. D'Alessandro. Characterization of the Etna volcanic emissions through an active biomonitoring technique (moss-bags): part 1 - major and trace element composition. Chemosphere. 2015; 119: 1447-1455.
  5. H. Nguyen Viet. Relationship of Atmospheric Pollution Characterized by Gas (NO2) and Particles (PM10) to Microbial Communities Living in Bryophytes at Three Differently Polluted Sites (Rural, Urban, and Industrial) (2010). Microbial Ecology. 2010; 59: 24-334.
  6. T. T. Doan Phan. Study of airborne trace element pollution in central and southern Vietnam using moss (Barbula indica) technique and neutron activation analysis. Asia-Pacific Journal of Atmospheric Sciences. 2018; 55(2): 247-253.
  7. L.H. Khiem . Assessment of atmospheric deposition of metals in Ha Noi using the moss bio-monitoring technique and proton induced X-ray emission. Journal of Radioanalytical and Nuclear Chemistry. 2020; 324: 43-54.
  8. Nguyen An Son, Doan Phan Thao Tien, Le Hong Khiem. Analysis Of Trace Element Atmospheric Deposition By Barbula Indica Moss At Baoloc Using The Total Reflection X-Ray Fluorescence Technique, Dalat University Journal Of Science. 2020; 10(3): 98-109 .
  9. S. Chakraborthy , G.T. Paratkar. Biomonitoring of Trace Element Air Pollution Using Mosses. Aerosol and Air Quality Research. 2006; 6(3): 247-258.
  10. J.A. Fernández. Testing differences in methods of preparing moss samples. Effect of washing on Pseudoscleropodium purum. Environ. Monit. Assess. 2010; 163: 669-684.
  11. P. Adamo, S. Giordano. Implementation of airborne trace element monitoring with devitalised transplants of Hypnum cupressiforme Hedw.: assessment of temporal trends and element contribution by vehicular traffic in Naples city. Environ. Pollut. 2011; 159: 1620-1628.
  12. . Bruker AXS Microanalysis. 2007; :

Comments