Single particle size and fluorescence spectra from emissions of burning materials in a tube furnace to simulate burn pits
- First Online:
- Cite this article as:
- Pan, YL., Houck, J.D.T., Clark, P.A. et al. Appl. Phys. B (2013) 112: 89. doi:10.1007/s00340-013-5402-9
- 939 Downloads
A single-particle fluorescence spectrometer (SPFS) and an aerodynamic particle sizer were used to measure the fluorescence spectra and particle size distribution from the particulate emissions of 12 different burning materials in a tube furnace to simulate open-air burning of garbage. Although the particulate emissions are likely dominated by particles <1 μm diameter, only the spectra of supermicron particles were measured here. The overall fluorescence spectral profiles exhibit either one or two broad bands peaked around 300–450 nm within the 280–650 nm spectral range, when the particles are illuminated with a 263-nm laser. Different burning materials have different profiles, some of them (cigarette, hair, uniform, paper, and plastics) show small changes during the burning process, and while others (beef, bread, carrot, Styrofoam, and wood) show big variations, which initially exhibit a single UV peak (around 310–340 nm) and a long shoulder in visible, and then gradually evolve into a bimodal spectrum with another visible peak (around 430–450 nm) having increasing intensity during the burning process. These spectral profiles could mainly derive from polycyclic aromatic hydrocarbons with the combinations of tyrosine-like, tryptophan-like, and other humic-like substances. About 68 % of these single-particle fluorescence spectra can be grouped into 10 clustered spectral templates that are derived from the spectra of millions of atmospheric aerosol particles observed in three locations; while the others, particularly these bimodal spectra, do not fall into any of the 10 templates. Therefore, the spectra from particulate emissions of burning materials can be easily discriminated from that of common atmospheric aerosol particles. The SFFS technology could be a good tool for monitoring burning pit emissions and possibly for distinguishing them from atmospheric aerosol particles.
Open-air burn pits are widely used for disposal of garbage, military waste, and human waste on US military bases in Iraq and Afghanistan. This practice has attracted much attention since hundreds war veterans claimed that they are suffering respiratory problems and believe that burn pit exposure is the major cause for their illnesses [1–3]. Efforts have been taken to mitigate this practice. Congress has passed legislation requiring the military to justify any further use of burn pits, and the Pentagon is conducting a review of burn pits and their current status in Iraq and Afghanistan and has shut down many in Iraq. The US Department of Defense and the Department of Veterans Affairs are proceeding cautiously in linking soldiers’ symptoms to the burn pits. The Institute of Medicine, National Academy of Science, and other research institutes are conducting large-scale studies. The US Army Center for Health Promotion and Preventive Medicine (USACHPPM), the US Air Force Institute for Operational Health, and the US Army Research Laboratory are conducting ambient-air sampling and screening health-risk assessments [3–8]. Recently, the Institute of Medicine reported that there is no evidence linking exposure to burn pits in Iraq and Afghanistan for long-term health problems [4, 5]. The investigation from a team of doctors found that burn pit exposure within 3–5 miles was not associated with respiratory outcomes after statistical adjustment. However, increased symptom reporting was observed among Air Force deployers located within 2 miles of Joint Base Balad, which was marginally significant with no evidence of trend . Another team of doctors found that diffuse constrictive bronchiolitis might be associated with inhalational exposure in 38 soldiers .
Many chemicals that may present a health risk to service members were detected in the DoD air sampling from Joint Base Balad, Iraq, and Camp Lemonier, Djibouti. These samples include (a) particulate matter (PM), (b) polycyclic aromatic hydrocarbons (PAHs), (c) volatile organic compounds (VOC), and (d) toxic organic halogenated dioxins and furans (TOHDF) . Exposure to chemical toxins could affect the skin, eyes, respiration, kidneys, liver, nervous system, and cardiovascular system [10–13]. Long-duration inhalation of heavy PM emissions from natural and man-made sources can cause serious heart and lung health problems [9–13]. Fortunately, most of the eye irritation, coughing and throat irritation, breathing difficulties, and skin itching are temporary for limited exposure to the burn pit emissions . It is very difficult to determine, at the present stage, how exposure to burn pit affects health with given limited scientific studies and the multitude of variables, such as the variety of burning materials, burning condition, emitted particle size and concentration, the duration of exposures, near-surface wind fields, the closeness of service members to the pit, and various human factors including age, health status, existing medical conditions, and genetics [9, 10]. Further systematic and detailed studies are needed to understand the potential health effects caused by exposed to burn pit emissions. The development of a real-time monitoring system to provide service members with the information they need to reduce exposure levels near burning pits could be helpful.
Optical properties of atmospheric PM such as elastic scattering, absorption, fluorescence, and Raman spectra have been used to characterize the dynamic variability, aging process, and chemical compositions of emission from biomass burning [4–22]. Studies found that scattering and absorption efficiency strongly correlated to particle size and black carbon (BC) content related to individual fire physics . Concentration of particle-related reactive oxygenated species, which is considered an important parameter in assessing the potential toxicological impact of particulate matter, could be measured by fluorescence spectra . Black carbon concentrations in particulate organic matter from biomass burning can be deduced by observing pyrene fluorescence loss . Fluorescence and Raman spectra are good methods for characterizing the natural carbon clusters . Particle size, morphology, refractive index, carbon and PAH contents help understand the emissions [19–22]. More than 90 % of the total aerosol mass in burning emissions could be particulates of organic carbon (OC) and BC within the dominated fine aerosols (<2.5 μm) . Chemical characterization and specification of the open-air burning affluent may allow linking to potential health effects [9–13, 23–26]. The excitation-emission matrix (EEM) can identify ultra-trace amounts of particular PAHs, humic substances, dissolved organic carbon (DOC) in different complex samples [27–34], such as the determination of two of the most carcinogenic PAHs, benzo[a]pyrene and dibenzo[a,h] anthracene at a concentrations below 10 ng/L . The 370-nm excited fluorescence intensity ratio between 450 and 500 nm, named as fluorescence index (FI), was found to have a significant relationship with DOC concentrations for polluted stream water .
Technologies based on ultra-violet laser-induced fluorescence (UV-LIF) are capable of real-time, in situ detection and classification for biological and other organic carbon aerosols (e.g., [35–38], see a review by DeFreez ). A single-particle fluorescence spectrometer [SPFS, ref  can obtain the dispersed fluorescence spectra (280–700 nm) of individual airborne aerosol particles (1–10 μm size range) as they flow through the sensor. Such a nondestructive technique has the advantage of providing near-real-time information related to the molecular compositions without requiring collection of particles, handling of the samples, or searching over a substrate for particles to be analyzed, but lacks the ability to chemically identify or specify the composition of the particle as might be possible with mass spectroscopy or other biochemical analytical methods.
In this paper, the SPFS technology is applied to measure single-particle fluorescence spectra of the particulate emissions of the controlled burning of materials. The materials were burned in a tube furnace to simulate burning from an open-air burn pit. In addition, the particle size distribution was monitored by a TSI aerodynamic particle sizer. The tube furnace was set to start at 300 °C and raised to a maximum 420 °C temperature until various test materials melted/smoldered and/or combusted. Twelve materials were selected for burning to mirror the most common garbage produced daily on military bases, such as plastics, paper, food, wood, clothing, and Styrofoam. The laboratory study described herein provides control and repeatability of burn conditions and measurements of the emission from individual burning materials, which may not be achievable in an open-air burn pit environment.
The purpose of this study is to assess the potential for monitoring particle emission from burn pits by the measurement of particle size and single-particle fluorescence spectra. Although the observed fluorescence spectral profiles are different for the various particulate emissions (excited by a 263-nm laser), but this approach falls far short of identifying PM compositions. It is even difficult to say at this early stage of research if this technology could effectively be used for monitoring particularly harmful emissions from a burn pit, due to numerous possible molecules and many possible mixtures of molecules produced during the different burning phases, burning conditions, and aging processes. These preliminary test results reveal the fluorescence spectra and size distributions of some common burn emissions under certain burn conditions. The results suggest the UV-LIF might be a useful complementary technology for real-time in situ monitoring of burn pits to protect the service members and limit their exposure to dangerous levels of harmful burn emissions.
2 Experimental arrangement
Tested burning materials and corresponding burning temperatures
Beef (cooked hamburger meat)
Bread (potato-roll bread)
Carrot (shredded carrots)
Cigarette (cut tobacco leaves)
Hair (human hair)
Uniform (battle-dress uniform)
Paper (shredded white paper)
Plastic HDPE (plastic cup)
Plastic HD (plastic spoon)
Plastic-PETE (water bottle)
Styrofoam (water cup)
Wood (2 × 4 wood shards)
The aerodynamic particle sizer (TSI 3321) was used to monitor the particle size distribution. The APS can measure aerodynamic size of particles in the 0.5–20 μm range independent of particle index of refraction.
The SPFS system, used here to measure the dispersed fluorescence spectra from single aerosol particles excited by a single pulse of a 263 nm UV laser, has been described previously . In the measurements described in this report, a virtual impactor concentrator that would normally be placed upstream from the SPFS inlet was not needed since high enough concentrations of sampling particles were produced during the burning process. In addition, the usual 32-anode photomultiplier tube (PMT) detector for the SPFS was replaced by an image-intensified charge-coupled device (ICCD, Andor Technology, ISTAR DH734-25F-03) for better spectral resolution (~0.5 nm/pixel). Burning emissions from the tube furnace were sampled by the SPFS through a 1/4-in. diameter, 6-ft long stainless steel tube at 1 L/min.
The SPFS focuses the aerosol into a (about 300-μm diameter) stream using a sheath nozzle within a 2 in. cubical optical cell, which is aspirated by a piston pump (KNF Neuberger model UN 86). Particles (with size greater than about 1 μm) flowing within about 150 μm of the center of the aerosol stream are detected through their near-forward elastic scattering signals from two intersecting diode-laser beams (650 and 685 nm). A coincidence pulse from the diode beams triggers a 263-nm laser (Photonics Industries, DC-150-263, 50 μJ, 10 ns pulse duration) pulse synchronized to probe the single particle on-the-fly as it traverses the optical cell. Some of the particle’s fluorescence is collected by a reflective objective (NA 0.4, Newport 50105) and focused onto the slit of a spectrograph (Jobin Yvon, CP-140) for spectral dispersion. The fluorescence spectrum is recorded by the ICCD. The spectrometer slit width is set sufficiently large (1 mm) to allow fluorescence from particles throughout the sample volume to be collected by the highly (15×) magnifying reflective objective lens, but the wide slit reduces the spectral resolution to about 15 nm. A long-pass filter cutoff at 280 nm is used to block the elastic scattering from the 263 nm laser, but efficiently transmits the fluorescence with wavelength longer than 280 nm. The wavelength of the recording fluorescence spectra is determined by the elastic scattering peaks of the excitation laser with the first- and second-order scattering from the grating. The relative spectral response for the SPFS system is calibrated based on a NIST-traceable calibration light source from 220 to 1,050 nm (Ocean Optics, DH-2000-CAL deuterium tungsten halogen calibration standard).
Fluorescence spectra for single particles are obtained by subtracting an average of background spectra. The average background spectrum (for 100 shots) is recorded under the same experimental conditions, but without particles present in the optical cell by internally firing the laser at 10 Hz. The background counts of the ICCD are mainly from the elastic scattering, stray light, and the thermal and read-out noise of the ICCD.
3 Results and discussion
Figure 2 reveals the particle size from the emissions of the burning materials is dominated by small submicron particles with a small fraction in the 1–3 μm range. There are only tiny concentrations of particles above 3 μm, particularly for the emissions from burning human hair, which are nearly all smaller than 1 μm. However, the particle size is larger and is peaked around 2 μm for the plastic HD spoon and in the late burning stage for potato-roll bread. Most PM emissions appear to be dominated by submicron particles, consistent with previous observations of biomass burning [15, 16, 20, 21, 25]; so a scanning mobility particle sizer would be more suitable for obtaining better particle size distributions. However, the SPFS system as presently configured can only measure fluorescence of particles down to about 1 μm in diameter, so we emphasize supermicron particles here.
Long-duration exposure to high concentration particulate matter (PM) could cause health problems, and the smaller particles (PM 2.5, particles with a diameter of 2.5 μm and smaller) are considered to be more harmful than larger particles (PM10, particles with a diameter ≤10 μm), regardless of the toxicity of materials that form the particles. Particles that are 10 μm or smaller generally pass through the throat, nose, and some enter the lungs. Once inhaled, these particles can affect the heart and lungs and can cause serious health effects . Most of the particles from the emission of the 12 burning materials measured here have sizes predominately within the PM 2.5 range under the present burn conditions. This suggests that the particulate matter alone, apart from gases, could be harmful to the service members if exposed at high concentrations or for long duration.
During the burning process, all materials produce a large quantity of black smoke and gas. Visually it appears that significantly higher amounts of particulates are present at the beginning of a burn, as compared to the emissions produced during the stable combustion phase of the burn. Since there are very high concentrations of submicron particles drawn into the optical cell of the SPFS, for some trigger events multiple particles are in the illuminating beam of the SPFS. Consequently, some of the fluorescence spectra observed in these experiments are from multiple small particles, including some fluorescence emission generated from gases, within the sample volume of the SPFS (the sample volume is the intersection of the illuminating beam and the collection region of the SPFS reflective objective). Therefore, the fluorescence spectra we observed here are the combination of single-particle spectra and multiple particle spectra sensed during the burning process. We note that previous measurements of atmospheric aerosol have only spectra of single particles .
During the burning process it is noteworthy that the general form of the fluorescence spectral profiles have only small variation for some materials (cigarette, hair, uniform, paper, and plastics), but change significantly for others (beef, bread, carrot, Styrofoam, and wood).
In order to reveal how fluorescence spectral profiles evolve during the burning phases of various materials under study, we summarize the spectral data taken throughout the burns in Fig. 5. Presented are averaged (1,000 laser-shot) UV-LIF spectra of the particulate emissions from 12 burning materials (given in Table 1). If the fluorescence spectral profiles have only little change during the burn period, only one averaged UV-LIF spectrum is shown. If on the other hand, the fluorescence spectral profiles change significantly during the burn period, two or more averaged UV-LIF spectra are presented for that material.
Listed are major peaks of the fluorescence spectra of emissions from burning materials (263 nm excitation)
Fluor. peaks (nm)
Overall profile change (IVis/IUV)
Large (0.30 → 3.42)
Large (0.89 → 1.41)
Large (0.21 → 2.03)
Small (0.53 → 0.59)
Small (4.40 → 4.46)
Small (2.38 → 2.52)
Percentage of burn particle spectra falling into previously found atmospheric aerosol clusters
A:89 % cluster 3
A:92 % cluster 2
21 % cluster 8
27 % cluster 8
72 % cluster 8
B: no fitting
B:74 % cluster 8
B:75 % cluster 8
C:37 % cluster 8
Fluor. peaks (nm)
Overall profile change (IVis/IUV)
Small (0.42 → 0.44)
Small (2.08 → 2.26)
Small (0.78 → 0.82)
Small (one peak)
Large (0.34 → 0.88)
Large (0.29 → 0.52)
Percentage of burn particle spectra falling into previously found atmospheric aerosol clusters
35 % cluster 1
83 % cluster 8
51 % cluster 5
A:76 % cluster 2
A:90 % cluster 3
B:61 % cluster 2
B:85 % cluster 3
It is well known that many different materials are generated from burning processes, including soot (primarily composed of black carbon) and various organic carbon chemicals. The concentrations of different chemicals vary with burn conditions, burn phase, and materials burned [9, 19–27].
Polycyclic aromatic hydrocarbons are ubiquitous in emissions from open burns. With UV laser excitation, the fluorescence spectra of PAHs peak from 410 to 460 nm [27, 30]; water-dissolved PAHs have peaks from 300 to 460 nm with a broad band covering 300–600 nm [32–34]. Among the PAHs are compounds having a single aromatic ring such as tyrosine, but with different or additional conjugated bonds. Tyrosine-like chemicals (or TYLIS including benzoic acids, phenols, and benzaldehydes [32–34]) generally fluoresce around 310 nm. PAHs having double aromatic rings, such as tryptophan but with different or additional conjugated bonds (tryptophan-like or TRYLIS, including dibenzoic acids; naphthalene and its derivatives [32–34]) generally fluoresce around 320–340 nm. PAHs with heavier molecular weights (humic-like substances or HULIS, [32–34]) fluoresce further to the red, peaking from 400 to 460 nm (or even further) via 263 nm excitation. The fluorescence profiles from the 12 sample materials burned here reveal that there are likely some TYLIS, TRYLIS, and HULIS substances in the emissions from the burns, and probably more HULIS in the late stages of the burn process (see Table 2; Fig. 5).
It is evident that about 68 % fluorescence spectra of the burn emissions of the 12 sample materials are similar to atmospheric aerosol clusters labeled 2, 3, 5 and 8. Some are very similar such as carrot A to cluster 2, beef A to cluster 3, and plastic HDPE to cluster 8. Some are only vaguely similar such as wood B to cluster 3, plastic HD to cluster 5, cigarette and hair to cluster 8. This suggests that some atmospheric aerosol may derive from burning of biomass (and possibly garbage) in the atmosphere. On the other hand, some fluorescence spectra of burn emissions do not match any spectra of atmospheric aerosol clusters such as beef B, bread A, and Styrofoam C, which all have bimodal fluorescence peaks. The reason may be that aging of some chemicals in burn emissions might occur quickly during transport and diffusion processes in the atmosphere. If this is true, distinctly bimodal fluorescence peaks within atmospheric aerosol particles could be evidence for their source being close to an atmospheric burn of biomass, garbage, or other waste material. The fluorescence spectral profiles from burning materials detected here are even easier to be discriminated from the time-integrated fluorescence spectral profiles [41, 42], which are obtained from the UV-LIF spectra of a group of atmospheric particles from thousands to a few tens of thousands detected very 10 min in three different locations. This implies that SFFS system might be a good tool for monitoring burning pit emission via fluorescence spectral profile discrimination.
Data in Table 2 reveal the percentages of single shot fluorescence spectra of burn particulate emissions that are similar to the cluster spectra of atmospheric aerosol particles. Total about 68 % of the spectra from the various burn emissions are similar to atmospheric aerosol clusters labeled 2, 3 and 8. Clusters 2 and 3 are similar to the spectra from bacteria, while cluster 8 is similar to the spectra from humic/fulvic acids, humic-like substances, and combinations of PAHs [37, 38, 40]. However, it is still hard, at the present stage, to speculate on the contribution of burn particulate emissions to atmospheric aerosol from these data.
Regarding possible health effects of burn emissions, Lemieux et al.  summarize the emissions of organic air toxins from open burning and PAHs are believed to be important for health problems. The potential cancer risk associated with PAH exposure through inhalation can be estimated based on the benzo[a]pyrene toxic equivalence (BaPeq), where the overall toxicity of a PAH mixture is defined by the concentration of each compound multiplied by its relative toxic equivalence factor (TEF) . Here, we would not be able to determine the overall toxicity or identifications of chemicals from the burning process with the limited information available from fluorescence spectra measurements alone. However, the evolution of the overall spectral profiles for different materials during burning process could supply some information for understanding the toxicity of burning emissions, as well as supply a possible monitoring tool. Further systematic and controlling study is required for better understanding of the application with single-particle fluorescence spectra technology in burn pit monitoring.
A single-particle ultra-violet laser-induced fluorescence spectrometer (SPFS) and an aerodynamic particle sizer were used to measure the fluorescence spectra and particle size distribution from the particulate emissions of 12 different burning materials burned in a tube furnace to simulate open-air burning of garbage. The particles in the emissions are dominated by particles <1 μm in diameter, and with a small fraction in the 1–3 μm range which were measured here. There are small changes in the fluorescence spectral profiles for some materials during the burning process (cigarette, hair, uniform, paper, and plastics); but large changes for the others (beef, bread, carrot, Styrofoam, and wood). The spectral profiles for beef, bread, carrot, Styrofoam, and wood gradually evolved from spectra having a single UV peak (around 310–340 nm) into bimodal spectra with another visible peak (around 430–450 nm) with increasing intensity during the burn. The SPFS technology could possibly be used to monitor and help classify particulate emissions from open-air burn pits.
This research was supported by the US Army Research Laboratory mission funds and encouraged by the US Army Public Health Command.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.