Automated aerosol Raman spectrometer for semi-continuous sampling of atmospheric aerosol

Journal of Quantitative Spectroscopy and Radiative Transfer

Volumn 188, Issue , 2017, Pages 103-117

  Doughty, David C ^a   Hill, Steven C ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Aerosol; HULIS Soot; Raman Spectroscopy

Indexed keywords

AMORPHOUS CARBON; ATMOSPHERIC AEROSOLS; ATMOSPHERIC THERMODYNAMICS; AUTOMATION; CLUSTER ANALYSIS; RAMAN SCATTERING; RAMAN SPECTROSCOPY; SPECTROMETERS;

AMBIENT ATMOSPHERE; ATMOSPHERIC APPLICATIONS; AUTOMATED DETECTION; AUTOMATED INSTRUMENTATION; AUTOMATED MEASUREMENT; HIERARCHICAL CLUSTERING METHODS; HULIS/SOOT; RAMAN SPECTROMETERS;

AEROSOLS;

AEROSOL; AUTOMATION; RAMAN SPECTROSCOPY; SAMPLING;

EID: 85007174635     PISSN: 00224073     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jqsrt.2016.06.042     Document Type: Article

References (61)

1. [1] Pope, C.A., Dockery, D.W., Health effects of fine particulate air pollution: lines that connect. Air Waste Manag Assoc 56 (2006), 709–742.
2. [2] Brook, R.D., Rajagopalan, S., Pope, C.A., Brook, J.R., Bhatnagar, A., Diez-Roux, A.V., Holguin, F., Hong, Y., Luepker, R.V., Mittleman, M.A., Peters, A., Siscovick, D., Smith, S.C., Whitsel, L., Kaufman, J.D., Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the american heart association. Circulation 121 (2010), 2331–2378.
3. [3] Dominici, F., Wang, Y., Correia, A.W., Ezzati, M., Pope, C.A., Dockery, D.W., Chemical composition of fine particulate matter and life expectancy: in 95 US counties between 2002 and 2007. Epidemiology 26 (2015), 556–564.
4. [4] Smith, K.R., Jerrett, M., Anderson, H.R., Burnett, R.T., Stone, V., Derwent, R., Atkinson, R.W., Cohen, A., Shonkoff, S.B., Krewski, D., Pope, C.A. III, Thun, M.J., Thurston, G., Public health benefits of strategies to reduce greenhouse-gas emissions: health implications of short-lived greenhouse pollutants. Lancet 374:9707 (2009), 2091–2103.
5. [5] Yu, I., Li, Y., Wong, W., Tam, W., Chan, A., Lee, J., Leung, D., Ho, T., Evidence of airborne transmission of the severe acute respiratory syndrome virus. New Engl J Med 350 (2004), 1731–1739.
6. [6] Alexanderson, S., Brotherhood, I., Donaldson, A., Natural aerosol transmission of foot-and-mouth disease virus to pigs: minimal infectious dose for strain O1 Lausanne. Epidemiol Infect 128:2 (2002), 301–312.
7. [7] Agrios, G., Plant pathology, 5th ed., 2004, Elsevier Academic Press, New York.
8. [8] Sun, J., Ariya, P., Atmospheric organic and bio-aerosols as cloud condensation nuclei (CCN): a review. Atmos Environ, 40(5), 2006, 795.
9. [9] Yanofsky, S., Levin, Z., Bertold, T., Sandlerman, N., Some basic characteristics of bacterial freezing nuclei. J Appl Meteorol 20 (1981), 1013–1019.
10. [10] Spracklen, D., Heald, C., The contribution of fungal spores and bacteria to regional and global aerosol number and ice nucleation immersion freezing rates. Atmos Chem Phys 14 (2014), 9051–9059.
11. [11] Després, V.R., Huffman, J.A., Burrows, S.M., Hoose, C., Safatov, A.S., Buryak, G., Elbert, W., Andreae, M.O., Pöschl, U., Jaenicke, R., Frölich-Nowisky, J., Primary biological aerosol particles in the atmosphere: a review. Tellus B, 64, 2012.
12. [12] Boucher O, Randall D, Artaxo P, Bretherton C, Feingold G, Forster P, Kerminen V-M, Kondo Y, Liao H, Lohmann U, Rasch P, Satheesh S, Sherwood S, Stevens B, Zhang X. "Clouds and Aerosols". In: Proceedings of the Climate Change 2013: the physical science basis. contribution of working group i to the fifth assessment report of the intergovernmental panel on climate change, New York, Cambridge University Press; 2013. p. 571–658.
13. [13] Sobanska, S., Hwang, H., Choel, M., Jung, H.-J., Eom, H.-J., Kim, H., Barbillat, J., Ro, C.-U., Investigation of the chemical mixing state of individual asian dust particles by the combined use of electron probe x-ray microanalysis and Raman microspectrometry. Anal Chem 84 (2012), 3145–3154.
14. [14] Baustian, K., Cziczo, D., Wise, M., Pratt, K., Kulkarni, G., Hallar, A., Tolbert, M., Importance of aerosol composition, mixing state, and morphology for heterogeneous ice nucleation: A combined field and laboratory approach. J Geophys Res Atmos 117:D6 (2012), 2156–2202.
15. [15] Jacobson, M.Z., Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols. Nature 409 (2001), 695–697.
16. [16] Jayne, J., Leard, D., Zhang, Z., Davidovits, P., Smith, K., Kolb, C., Worsnop, D., Development of an Aerosol Mass Spectrometer for Size and Composition. Analysis of submicron particles. Aerosol Sci Technol 33 (2000), 49–70.
17. [17] Toprak, E., Schnaiter, M., Fluorescent biological aerosol particles measured with the waveband integrated bioaerosol sensor WIBS-4: laboratory tests combined with a one year field study. Atmos Chem Phys 13:1 (2013), 225–243.
18. [18] Pan, Y.-L., Pinnick, R.G., Hill, S.C., Rosen, J.M., Chang, R.K., Single-particle laser-induced-fluorescence spectra of biological and other organic-carbon aerosols in the atmosphere: Measurements at New Haven, Connecticut, and Las Cruces, New Mexico. J Geophys Res: Atmos, 112(D24), 2007.
19. [19] Deng, C., Brooks, S.D., Vidaurre, G., Thornton, D.C.O., Using Raman microspectroscopy to determine chemical composition and mixing state of airborne marine aerosols over the pacific ocean. Aerosol Sci Technol 48:2 (2014), 193–206.
20. [20] Stefaniak, E.A., Buczynska, A., Novakovic, V., Kuduk, R., R, Van Grieken, Determination of chemical composition of individual airborne particles by SEM/EDX and micro-Raman spectrometry: a review. J Phys Conf Ser, 162(1–16), 2009, 012019.
21. [21] Ronningen, T., Schuetter, J., Wightman, J., Murdock, A., Bartko, A., Raman spectroscopy for biological identification. Schaudies, R.P., (eds.) Biological Identification, 2014, Elsevier, New York, 313–333.
22. [22] Ghosal, S., Macher, J.M., Ahmed, K., Raman microspectroscopy-based identification of individual fungal spores as potential indicators of indoor contamination and moisture-related building damage. Environ Sci Technol 46:11 (2012), 6088–6095.
23. [23] Schulte, F., Lingott, J., Panne, U., Kneipp, J., Chemical characterization and classification of pollen. Anal Chem 80:24 (2008), 9551–9556.
24. [24] Sadezky, A., Muckenhuber, H., Grothe, H., Niessner, R., Pöschl, U., Raman microspectroscopy of soot and related carbonaceous materials: spectral analysis and structural information. Carbon 43:8 (2005), 1731–1742.
25. [25] Ault, A.P., Zhou, D., Ebben, C.J., Tauber, M.J., Feiger, F.M., Prather, K.A., Grassian, V.H., Raman microspectroscopy and vibrational sum frequency generation of spectroscopy as probes of the bulk and surface compositions of size-resolved sea spray aerosol particles. Phys Chem Chem Phys 14 (2013), 6206–6214.
26. [26] Rosen, H., Novakov, T., Identification of primary particulate carbon and sulfate species by Raman spectroscopy. Atmos Environ 12:4 (1978), 923–927.
27. [27] Aptowicz, K.B., Pan, Y.-L., Chang, R.K., Pinnick, R.G., Hill, S.C., Tober, R.L., Goyal, A., Jeys, T., Bronk, B.V., Two-dimensional angular optical scattering patterns of microdroplets in the mid infrared with strong and weak absorption. Opt Lett 29:17 (2004), 1965–1967.
28. [28] Blaha, J.J., Rosasco, G.J., Etz, E.S., Raman microprobe characterization of residual carbonaceous material associated with urban airborne particulates. Appl Spectrosc 32:3 (1978), 292–297.
29. [29] Batonneau, Y., Sobanska, S., Laureyns, J., Bremard, C., Confocal microprobe Raman imaging of urban tropospheric aerosol particles. Environ Sci Technol 40:4 (2006), 1300–1306.
30. [30] Kalasinsky, K.S., Hadfield, T., Shea, A.A., Kalasinsky, V.F., Nelson, M.P., Neiss, J., Drauch, A.J., Vanni, G.S., Treado, P.J., Raman chemical imaging spectroscopy reagentless detection and identification of pathogens: signature development and evaluation. Anal Chem 79:7 (2007), 2658–2673.
31. [31] Hiranuma, N., Brooks, S.D., Gramann, J., Auvermann, B.W., High concentrations of coarse particles emitted from a cattle feeding operation. Atmos Chem Phys 11:16 (2011), 8809–8823.
32. [32] Gaffney, J.S., Marley, N.A., Smith, K.J., Characterization of fine mode atmospheric aerosols by Raman microscopy and diffuse reflectance FTIR. J Phys Chem 119:19 (2015), 4524–4532.
33. [33] Rosen, H., Novakov, T., Raman scattering and the characterisation of atmospheric aerosol particles. Nature 266:5604 (1977), 708–710.
34. [34] Ivleva, N., McKeon, U., Niessner, R., Pöschl, U., Raman microspectroscopic analysis of size-resolved atmospheric aerosol particle samples collected with an ELPI: soot, humic-like substances, and inorganic compounds. Aerosol Sci Technol 41 (2007), 655–671.
35. [35] Ivleva, N.P., Huckele, S., Wienzierl, B., Niessner, R., Haisch, C., Baumann, T., Identification and characterization of individual airborne volcanic ash particles by Raman microspectroscopy. Anal Bioanal Chem 405:28 (2013), 9071–9084.
36. [36] Vehring, R., Aardahl, C.L., Schweiger, G., Davis, E.J., The characterization of fine particles originating from an uncharged aerosol: size dependence and detection limits for Raman analysis. J Aerosol Sci 29 (1998), 1045–1061.
37. [37] Guedes, A., Ribeiro, H., Fernández-González, M., Aira, M., Abreu, I., Pollen Raman spectra database: application to the identification of airborne pollen. Talanta 119 (2014), 473–478.
38. [38] Schuster, K.C., Reese, I., Urlaub, E., Gapes, J.R., Lendl, B., Multidimensional information on the chemical composition of single bacterial cells by confocal Raman microspectroscopy. Anal Chem 72:22 (2000), 5529–5534.
39. [39] Tripathi, A., Jabbour, R.E., Guicheteau, J.A., Christesen, S.D., Emge, D.K., Fountain, A.W., Bottiger, J.R., Erik D. Emmons, E.D., Snyder, A.P.A. Peter, Bioaerosol analysis with Raman chemical imaging microspectroscopy. Anal Chem 81 (2009), 6981–6990.
40. [40] Deboudt, K., Flament, P., Choel, Marie, G.A., Sobanska, S., Colliex, C., Mixing state of aerosols and direct observation of carbonaceous. J Geophys Res Atmos, 115(D24207), 2010.
41. 3 mass concentration level using Raman spectroscopy. Aerosol Sci Technol 49:9 (2015), 753–756.
42. [42] Jentzsch, P.V., Kampe, B., Ciobota, V., Rösch, P., Popp, J., Inorganic salts in atmospheric particulate matter: Raman spectroscopy as an analytical tool. Spectrochim Acta Part A: Mol Biomol Spectrosc 115 (2013), 697–708.
43. [43] Andreae, M.O., Gelencer, A., Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols. Atmos Chem Phys 6 (2007), 3131–3148.
44. [44] Pan, Y., Hill, S.C., Coleman, M., Photophoretic trapping of absorbing particles in air and measurement of their single-particle Raman spectra. Opt Express 20:5 (2012), 5325–5334.
45. [45] Eilers, P.H., Parametric time warping. Anal Chem 76:2 (2004), 404–411.
46. [46] R Core Team, R. A language and environment for statistical computing, Vienna; 2015.
47. [47] Beleites C, Sergo V, “hyperSpec: a package to handle hyperspectral data sets in R,”; 2015.
48. [48] Ward, J.H., Heirarchical grouping to optimize an objective function. J Am Stat Assoc, 58(301), 1963.
49. [49] Murtagh, F., Legendre, P., Ward׳s Heirarchical agglomerative clustering method: which algorithms implement Ward׳s criterion. J Classif 31 (2014), 274–295.
50. [50] Hong, P., Boerio, F., Clarson, S., Smith, S., An investigation of the interdiffusion of polystyrene and deuterated polystyrene using surface-enhanced Raman scattering. Macromolecules 24:17 (1991), 4770–4776.
51. [51] Brizuela, A., Bichara, L., Romano, E., Yurquina, A., Locatelli, S., Brandan, S., A complete characterization of the vibrational spectra of sucrose. Carbohydr Res 361 (2012), 212–218.
52. [52] Potgieter-Vermaak, S.S., R, Van Greiken, Preliminary evaluation of micro-Raman spectrometry for the characterization of individual aerosol particles. Appl Spectrosc 60 (2006), 39–47.
53. [53] McCreery, R.L., Raman spectroscopy for chemical analysis, 2000, Wiley, New York.
54. [54] Raj, A., Sander, M., Janardhanan, V., Kraft, M., A study on the coagulation of polycyclic aromatic hydrocarbon clusters to determine their collision efficiency. Combust Flame 157 (2010), 523–534.
55. [55] Sander M, Patterson RIA, Braumann A, Raj A, Kraft M, Developing the PAH-PP soot particle model using process informatics and uncertainty propagation. In: Proceedings of the Combustion Inst., vol. 33; 2011. p. 675–83.
56. [56] Bladt, H., Ivleva, N.P., Niessner, P., Internally mixed multicomponent soot: impact of different salts on soot structure and thermo-chemical properties. J Aerosol Sci 70 (2014), 26–35.
57. [57] Mertes, S., Dippel, B., Schwarzenbock, A., Quantification of graphitic carbon in atmospheric aerosol particles by Raman spectroscopy and first application for the determination of mass absorption efficiencies. J Aerosol Sci 35:2004 (2004), 347–361.
58. [58] Allen, G.A., Lawrence, J., Koutrakis, P., Field validation of a semi-continuous method for aerosol black carbon (aethalometer) and temporal patterns of summertime hourly black carbon measurements in southwestern PA. Atmos Environ 33:5 (1999), 817–823.
59. [59] Kemppinen, O., Nousiainen, T., G, Jeong, Effects of dust particle internal structure on light scattering. Atmos Chem Phys 15 (2015), 12011–12027.
60. [60] Izmailov, A.F., Myerson, A.S., Arnold, S., A statistical understanding of nucleation. J Cryst Growth 196 (1999), 234–242.
61. [61] Hart, M.B., Sivaprakasam, V., Eversole, J.D., Johnson, L.J., Czege, J., Optical measurements from single levitated particles using a linear electrodynamic quadrupole trap. Appl Opt 54 (2015), F174–F181.