Next Article in Journal
Cross-Cutting Technologies for Developing Innovative BIPV Systems in the Framework of the PVadapt Project
Previous Article in Journal
Planning the Retrofitting of Heating Appliances: The HARP Project
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Qualitative and Quantitative Characterisation of Minor Chemical Elements in Diesel Particulate Matter by Laser-Induced Breakdown Spectroscopy †

Institute of Biomedical Mechatronics, Johannes Kepler University Linz, Altenberger strasse 69, 4040 Linz, Austria
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Applied Sciences, 10–30 November 2020; Available online: https://asec2020.sciforum.net/.
Published: 9 November 2020
(This article belongs to the Proceedings of The 1st International Electronic Conference on Applied Sciences)

Abstract

:
In this research, we investigate the minor chemical elements contained in the diesel particulate matter (DPM) exhaust emissions, generated by in-use diesel engine passenger vehicles. For this purpose, we apply a high-resolution optical emission spectroscopy technique, for precise spectrochemical analysis of diesel particulate matter. By means of laser-induced breakdown spectroscopy (LIBS) analytical method, we qualitatively and quantitatively characterise detected minor chemical elements in DPM. Particulate matter samples were obtained from in-use diesel engine passenger vehicles of diverse types and models from major brand car producers in Europe. We analysed particulate matter, extracted from the exhaust manifold part, from vehicles, which are used in daily life environment. The LIBS technique has revealed the presence of minor chemical elements in DPM -silicon, nickel, titan, potassium, strontium, and molybdenum with diverse concentrations.

1. Introduction

Diesel engine emissions and diesel vehicles emission monitoring [1,2] are important topics nowadays. This is because its real state reflects on current quality of air flow in the cities, city-suburbs, industrial, or rural areas. This influences the number of inhalant nanoparticles within the particulate matter in air and forms the current air pollution of our “modern” civilisation. To breathe the non-polluted clean air is very important for our human health—not only for lungs and cardiovascular system, but also for the brain and central nervous system [3,4]. Nowadays, Particulate Matter (PM) and metallic nanoparticles are the key sources of many diseases and illnesses or deaths. Therefore, it should be among our highest priorities to rigorously explore and understand the chemical composition of particulate matter. The knowledge of this information can help to find new techniques to precisely measure and quantify the content of different chemical elements adsorbed inside the small PM and hence minimise the vehicle’s emissions.
In this study, we used high resolution laser-induced breakdown spectroscopy technique [5] for qualitative and quantitative spectrochemical analysis of diesel particulate matter (DPM) collected from in-use diesel engine passenger vehicles. We analysed particulate matter from different vehicles of major EU car producers, used in daily life environment.

2. Methodology

2.1. LIBS Setup

Laser-induced breakdown spectroscopy (LIBS) is a contact-less optical measurement technique for qualitative and quantitative elemental composition analysis of various forms of materials [6,7]. The results from the analytical measurements are the recorded spectra of atomic, ionic, and molecular spectral lines. From LIBS spectra, the elemental chemical composition of the examined sample can be obtained. The qualitative spectral information can be further calibrated, to obtain quantitative results. The LIBS technique provides very sensitive and rapid analytical measurements, without sample pre-treatment, in the range of ppm levels. Experimental setup for LIBS measurement consists of high intensity pulsed laser system, experimental chamber, collection optics, and high-precision optical spectrometer. Laser beam is guided via optical mirrors into the focusing lens. Plasma is generated by focusing high-power laser radiation into the material.
As the laser source for plasma generation, we have used solid state Nd: YAG laser from Quantel, with pulse duration 8.5 ns, wavelength 1064 nm, and laser pulse energy 300 mJ. Optical emission from plasma were detected with high resolution Echelle spectrograph, Aryelle Butterfly, LTB Berlin, and ICCD with PI Max 4 detector. This spectrometer provides measurements with spectral resolution from 3–7 pm (pm = picometre) for VUV and 4–8 pm for VIS range. The delay time was set to 1 μs and gate width to 2 μs.

2.2. Diesel Particulate Matter Collection and Sample Preparation

More than seventy different samples collected from in-use diesel engine passenger vehicles of major brand car producers in Europe have been analysed by LIBS. Vehicles selected for the DPM sample collection were from our daily life environment. Diesel particulate matter was collected and extracted directly from the tail pipe at the end of the exhaust system. The collected particulate matter from vehicles tail pipe deposits has been mechanically pressed into small pellets with 6 mm diameter and with a flat, disc-like shape.

3. Results and Discussion

3.1. Qualitative Characterisation of DPM

In laser-induced breakdown spectroscopy signal recorded from different diesel particulate matter samples are dominating spectral lines from carbon, iron, magnesium, aluminium, chromium, zinc, sodium, and calcium. These lines were identified as major chemical elements of diesel particulate matter, further details related to this topic are discussed in the reference [8,9].
High-resolution optical emission spectra were also used to identify the minor chemical elements of DPM. For this case, we focus our attention to minor chemical elements, particularly to dominant spectral lines from atomic and ionic emission from silicon, nickel, titan, potassium, strontium and molybdenum.
In Table 1 are summarised measured qualitative analytes, the spectral atomic or ionic lines used for analytical LIBS measurements and number of samples where the minor element has been successfully detected. The spectral lines data included in Table 1 are obtained from the National Institute of Standards and Technology (NIST) atomic spectra database.

3.2. Calibration Procedure

For the quantification of the LIBS signal, internal laboratory calibration standards with different concentrations of selected major and minor chemical elements in the particulate matter were prepared. Based on our previous qualitative and quantitative analytical LIBS measurements of different types of DPM matrices performed by high resolution LIBS technique, similar particulate matter matrices were produced as internal standards in our laboratory.
Calculated calibration curves with regression parameter R2, 95% confidence limits, and prediction bands for silicon, nickel, titan, potassium, strontium, and molybdenum are shown in Figure 1. For the calibration purposes, we used either the linear fitting or the nonlinear allometric fitting procedures, depending on measured and calculated data from the LIBS analyses. The concentrations and calibration curves of individual chemical elements are shown in weight percent (wt. %) units.

3.3. Quantitative Characterisation of DPM

By using calibration function for each minor element and measured LIBS spectral signal from different DPM samples, it was possible to extract numerically the quantitative information about the concentration of minor chemical elements. In Table 2 are summarised the results from quantitative determination of minor chemical elements in DPM collected from different in-use diesel engine passenger vehicles. In particular, obtained maximum, minimum, mean value, and median concentrations of minor elements in (wt. %). For statistic reasons summary Table 2, only include these DPM samples, where the minor chemical element concentration was within the accepted calibration interval.

4. Conclusions

In this proceeding, we have shown the qualitative results and quantitative procedure for characterisation of the minor chemical elements in the diesel particulate matter collected from in-use diesel engine passenger vehicles. Particulate matter samples have been analysed spectrochemically by means of a high-resolution laser-induced breakdown spectroscopy. The LIBS analytical results have shown the presence of minor chemical elements: Si, Ni, Ti, K, Sr, and Mo. Special emphases were given to the quantification of the LIBS spectral signal and to the calibration curves from selected minor chemical elements of DPM. Measured minor elements Si, Ni, Ti, K, Sr, Mo together with major elements C, Fe, Mg, Al, Cr, Zn, Na, and Ca are forming an important part of the diesel particulate matter composition. All these chemical elements are contributing to overall DPM exhaust emissions from in-use diesel engine passenger vehicles.

Author Contributions

All authors contributed to the manuscript. For further details please contact the corresponding author. All authors have read and agreed to the published version of the manuscript.

Funding

Authors would like to thank for the financial support of the Linz Center of Mechatronics (LCM), project number K 24400/LCM. This research was funded by Austrian Science Fund (Fonds zur Förderung der wissenschaftlichen Forschung) FWF, project number P 27967. Austrian Science Fund: P 27967.

Acknowledgments

Authors would like to thank Maria Rusnak for the proofreading and for the valuable corrections. Open Access Funding by Austrian Science Fund (Fonds zur Förderung der wissenschaftlichen Forschung) FWF (P 27967). Authors would like to acknowledge the financial support of the Linz Center of Mechatronics (LCM), project number K 24400/LCM.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ntziachristos, L.; Papadimitriou, G.; Ligterink, N.; Hausberger, S. Implications of Diesel emissions control failures to emission factors and road transport NOx evolution. Atmos. Environ. 2016, 141, 542–551. [Google Scholar] [CrossRef]
  2. Zacharof, N.; Tietge, U.; Franco, V.; Mock, P. Type approval and real-world CO2 and NOx emissions from EU light commercial vehicles. Energy Policy 2016, 97, 540–548. [Google Scholar] [CrossRef]
  3. Calderón-Garcidueñas, L.; Mora-Tiscareño, A.; Ontiveros, E.; Gómez-Garza, G.; Barragán-Mejía, G.; Broadway, J.; Chapman, S.; Valencia-Salazar, G.; Jewells, V.; Maronpot, R.R.; et al. Air pollution, cognitive deficits and brain abnormalities: A pilot study with children and dogs. Brain Cogn. 2008, 68, 117–127. [Google Scholar] [CrossRef] [PubMed]
  4. Block, M.L.; Calderon-Garciduenas, L. Air pollution: Mechanisms of neuroinflammation and CNS disease. Trends Neurosci. 2009, 32, 506–516. [Google Scholar] [CrossRef] [PubMed]
  5. Noll, R. Laser-Induced Breakdown Spectroscopy, Fundamentals and Applications; Springer: Berlin, Germany, 2012. [Google Scholar]
  6. Miziolek, A.W.; Palleschi, V.; Schechter, I. Laser-Induced Breakdown Spectroscopy (LIBS): Fundamentals and Application; Cambridge University Press: New York, NY, USA, 2006. [Google Scholar]
  7. Cremers, D.A.; Radziemski, L.J. Handbook of Laser-Induced Breakdown Spectroscopy; John Wiley & Sons Inc.: New Delhi, India, 2013. [Google Scholar]
  8. Viskup, R.; Wolf, C.; Baumgartner, W. Qualitative and quantitative characterisation of major elements in particulate matter from in-use diesel engine passenger vehicles by LIBS. Energies 2020, 13, 368. [Google Scholar] [CrossRef]
  9. Viskup, R.; Wolf, C.; Baumgartner, W. Major Chemical Elements in Soot and Particulate Matter Exhaust Emissions Generated from In-Use Diesel Engine Passenger Vehicles. In Introduction to Diesel Emissions; Viskup, R., Ed.; IntechOpen: London, UK, 2020; ISBN 978-1-78984-035-3. [Google Scholar] [CrossRef]
Figure 1. Calibration curves (red line) including regression parameter R2, 95% confidence limits (green dashed line) and prediction bands (blue line) for (a) silicon, (b) nickel, (c) titan, (d) potassium, (e) strontium, (f) molybdenum obtained from laboratory prepared PM calibration standards. Concentrations of elements are in weight percent (wt. %).
Figure 1. Calibration curves (red line) including regression parameter R2, 95% confidence limits (green dashed line) and prediction bands (blue line) for (a) silicon, (b) nickel, (c) titan, (d) potassium, (e) strontium, (f) molybdenum obtained from laboratory prepared PM calibration standards. Concentrations of elements are in weight percent (wt. %).
Proceedings 67 00006 g001
Table 1. Spectral lines used for analytical laser-induced breakdown spectroscopy (LIBS) measurements and number of diesel particulate matter (DPM) samples with detected minor chemical element.
Table 1. Spectral lines used for analytical laser-induced breakdown spectroscopy (LIBS) measurements and number of diesel particulate matter (DPM) samples with detected minor chemical element.
AnalyteSpectral
line
Wavelength
(nm)
Detected in/Total Number of Samples
SiSi I288.1663/67
NiNi II221.6443/67
TiTi II334.9432/67
KK I766.4850/67
SrSr II407.7735/67
MoMo I390.2955/67
Table 2. Summary of quantitative determination of minor chemical elements in DPM obtained by high resolution LIBS technique. Calculated maximum, minimum, mean value, and median concentrations of minor elements in different DPM from in-use diesel engine passenger vehicles. Values are in (wt. %).
Table 2. Summary of quantitative determination of minor chemical elements in DPM obtained by high resolution LIBS technique. Calculated maximum, minimum, mean value, and median concentrations of minor elements in different DPM from in-use diesel engine passenger vehicles. Values are in (wt. %).
AnalyteMax. Concentration
(wt. %)
Min. Concentration
(wt. %)
Mean Value
(wt. %)
Median Value
(wt. %)
Number of DPM Samples Used for Statistics
Si2.330.220.940.8137
Ni6.360.572.221.7637
Ti3.950.361.210.9529
K2.230.10.480.3750
Sr0.990.010.090.0435
Mo5.90.161.320.7252
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Viskup, R.; Wolf, C.; Baumgartner, W. Qualitative and Quantitative Characterisation of Minor Chemical Elements in Diesel Particulate Matter by Laser-Induced Breakdown Spectroscopy. Proceedings 2020, 67, 6. https://0-doi-org.brum.beds.ac.uk/10.3390/ASEC2020-07520

AMA Style

Viskup R, Wolf C, Baumgartner W. Qualitative and Quantitative Characterisation of Minor Chemical Elements in Diesel Particulate Matter by Laser-Induced Breakdown Spectroscopy. Proceedings. 2020; 67(1):6. https://0-doi-org.brum.beds.ac.uk/10.3390/ASEC2020-07520

Chicago/Turabian Style

Viskup, Richard, Christoph Wolf, and Werner Baumgartner. 2020. "Qualitative and Quantitative Characterisation of Minor Chemical Elements in Diesel Particulate Matter by Laser-Induced Breakdown Spectroscopy" Proceedings 67, no. 1: 6. https://0-doi-org.brum.beds.ac.uk/10.3390/ASEC2020-07520

Article Metrics

Back to TopTop