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Proceeding Paper

Trace and Major Elements Analysis of Alternative Solid Fuels by Means of Inductively Coupled Plasma Mass Spectrometry: Comparison with Atomic Absorption Spectrometry and X-ray Fluorescence Results †

by
Aristotelis Triantafillidis
*,
Prokopis Stogiannis
,
Panagiotis Amarantos
,
Ioannis Kontodimos
,
Chrysovalantis Ketikidis
and
Panagiotis Grammelis
Center for Research and Technology Hellas, Chemical Process and Energy Resources Institute (CERTH/CPERI), 4 km N.R Ptolemaidas-Mpodosakeiou Hospital Area, 50200 Ptolemaida, Greece
*
Author to whom correspondence should be addressed.
Presented at the 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023; Available online: https://asec2023.sciforum.net/.
Eng. Proc. 2023, 56(1), 238; https://doi.org/10.3390/ASEC2023-16634
Published: 15 December 2023
(This article belongs to the Proceedings of The 4th International Electronic Conference on Applied Sciences)

Abstract

:
This work offers a comprehensive examination of ICP-MS as a higher-level analytical method compared to atomic absorption spectrometry (AAS) and X-ray fluorescence (XRF). Comparisons between the ICP-MS average mean difference and AAS were made with the determination of the concentration of trace elements in the same solid alternative fuel samples, while comparisons between ICP-MS and XRF were made by the determination of the concentration of major elements in the same solid alternative fuel samples, resulting in the superiority of the method. The results of the relative mean differences (RDMs) between ICP-MS (7.56%) and XRF (9.42%) regarding the concentration of major elements compared with the reference values in solid biofuel samples, while the RDMs for the solid recovered fuel samples were 8.9% for ICP-MS and 12.27% for XRF. The same procedure was followed for the determination of the concentration of trace elements with ICP-MS and AAS, thus obtaining the results for solid biofuel samples (average %RMDICP-MS = 12.77 and RMDAAS = 13.9) and SRF samples (average %RMDICP-MS = 10.02 and RDMAAS = 11.10) in relation to the reference values. While acknowledging that the initial cost and complexity of operation may deter some from adopting ICP-MS, the study asserts that the advantages of enhanced precision, sensitivity and speed of analysis validate the investment. Hence, ICP-MS is an extremely important laboratory tool used in modern physics and chemistry and has a wide range of applications: biological materials, high purity reagents and metals, atomic nuclear materials, geological samples and food.
Keywords:
ICP-MS; AAS; XRF; biomass; SRF

1. Introduction

Alternative solid fuels are solid substances, other than conventional coal or petroleum-based fuels, that can be used as alternative energy sources, often derived from renewable or waste sources. Alternative fuels can be organic or inorganic components in solid, liquid or high-viscosity forms. Typical materials used as alternative fuels range from tyres, wood, plastics, used oils, paints, resins, adhesives, solvents, sludges, animal waste and other organic waste, resulting in a variety of matrices and concentration ranges in samples of “unknown” nature [1]. As global energy demands rise, so does the urgency to transition away from conventional fossil fuels. Solid alternative fuels represent a category of energy sources, and they can help alleviate this dependence. Due to the huge variety of materials that exist in the category of solid fuels, the determination of the elemental competition of chemical compounds and their composites is crucial. This can be achieved with elemental analysis. Understanding the composition of solid fuels is an essential as information is provided on the efficiency and environmental impact of each fuel [2,3]. Some of the most common techniques used in the laboratories today are X-ray fluorescence (XRF), absorption atomic spectroscopy (AAS) and inductively coupled plasma (ICP) techniques: ICP optical emission spectroscopy (ICP-OES) and ICP mass spectrometry (ICP-MS). Inductively coupled plasma mass spectrometry (ICP-MS) lies among the most dominant techniques for rapid spectroscopic multi-element analysis as a result of a set of attributes such as low detection limits (often parts per billion or trillion), a wide linear dynamic range and high precision. A comparison was made between ICP-MS and AAS with the determination of the concentration of trace elements in the same solid alternative fuel samples, while a comparison between ICP-MS and XRF is made by the determination of the concentration of major elements in the same solid recovered fuels.
The results showed that the analysis using ICP-MS was more accurate and precise compared to AAS and XRF. Furthermore, it was showed that the ICP-MS analysis was conducted in a shorter time frame as compared to AAS. The aim of this study was to demonstrate the superiority of measurements using this specific instrument.

2. Materials and Methods

ICP-MS combines a high-temperature inductively coupled plasma (ICP) source with a mass spectrometer (MS). Samples are introduced into an argon plasma in the form of aerosol drops. The aerosol is dried, the molecules dissociated and an electron removed from the components. The resulting singly charged ions are filtered in the mass spectrometer. At a given time, only one mass-to-charge ratio passes through the MS to the detector. The intensity of a resulting pulse in the detector is proportional to the concentration of the element. One of the great advantages of the ICP-MS technique is the ability to measure the individual isotopes of each element. The other is the extremely low detections limits of one part per trillion (ppt). This technique is also relatively free from interferences which, if they do exist, can be easily removed [4].
Atomic absorption spectroscopy (AAS) is based upon the detection of wavelengths of light absorbed by an element (usually 190 nm to 900 nm). The AA spectrometer consists of a light source, a sample cell to atomize the sample, and a detector. As a source of light, several lamps are typically used for different elements. There are two basic sample cells for atomization used in AAS: flame burner and electrothermal heating. The amount of the absorbed light is dependent on the element concentration in the sample. If there is a sufficient amount of the element of interest in the sample, the flame cell (FAAS) can be used. This is a rapid technique and very simple to use. Its sensitivity is typically in the parts per million (ppm) range. For trace analysis, electrothermal heating (ETAAS), also known as graphite furnace (GFAAS), can be used instead of a flame burner to increase the sensitivity. ETAAS requires more skill and is less rapid, but has lower detection limits and is more suitable for low concentrations of the element in the sample [5].
X-ray fluorescence analysis (XRF) is one of the most universal techniques to deal with such a variety of samples. It is capable of handling solids, liquids, pastes, and loose powders or granules with minimal or no sample preparation. Depending on the accuracy and concentration limits needed to adhere to the environmental regulations or kiln equilibrium, it is possible to measure the samples using XRF without the need for sample preparation or dilution techniques. This technique is also used when controlling the transfer of some elements into a clinker. XRF also covers a wide range of elements (from boron to uranium in solids and from sodium to uranium in liquids) and can detect their presence down to sub-ppm levels depending on the analysis time and instrument conditions. There are two types of XRF instruments: wavelength-dispersive XRF (WDXFR) and energy-dispersive XRF (EDXRF). While WDXRF instruments are used in central laboratories for more accurate and precise measurements across the periodic table, EDXRF instruments provide more flexible sample handling and quicker screening for medium and heavy elements [6].

Process Description

In order to investigate the analyses technique of our newly acquired ICP-MS equipment, tests of elemental analysis were performed in reference materials composed of alternative solid fuels. A palm kernel sample was used as solid biofuel and a municipal solid wastes (MSW) one as solid recovered fuel (SRF), both being interlaboratory test samples. Along with the ICP-MS tests, WDXRF and GFAAS tests were performed in order to compare results in terms of accuracy and sensitivity. Major element concentration in ash samples was determined by ICP/MS and WDXRF, while trace elements content in the fuels was measured by ICP-MS and GFAAS.
Both analysis samples were prepared and analysed according standard methods. ISO 14780 [7] was employed for the solid biofuel preparation, ISO/TS 16996 and EN ISO 16967 [8,9] for the major elements determination in its ash, and EN ISO 16968 [10] for the trace elements in the fuel. The respective standard methods for the SRF sample are EN 15443, EN ISO 22940 and EN 15410, and EN 15411 [11,12,13,14]. Both samples were comminute to fine powder of less than 0.5 mm nominal top size. WDXRF determination was performed in fused bed specimens, while fuel digestion prior to ICP and AAS measurements was implemented with the same procedure for both instruments, utilising a microwave furnace.
The following is a more detailed description regarding the preparation of the kinds of samples mentioned above: on a sample table, the reduction in size of initial samples is carried out with the help of quartering spatulas. Subsequently, the total moisture procedure is followed. Finally, the sample is quartered again, and the analysis sample is taken after grinding and sieving. The mass of the test sample must be at least 300 g. Then, for the calculation of moisture, the total weight loss during drying is considered in relation to the total distributed weight of the sample. The result constitutes a measurement. The sample is placed in an oven which operates at a temperature of 105 ± 2 °C. It is heated until the mass of the sample remains constant. The mass of the sample is considered stable when, with further heating in the oven at a temperature of 105 ± 2 °C for up to 60 min, the change in mass (new loss) does not exceed 0.2% of the original mass. The total drying time required depends on the size of the sample grains, the rate at which air circulates in the oven and the thickness of the layer. The maximum total drying time of a sample should not exceed 24 h to avoid the loss of volatile materials. The drying time for different materials is determined based on experience from similar experiments.
After this preparation regarding the WDXRF analysis, an amount of eight grams of the sample with a particle size < 200 μm is mixed with two grams of wax (cereox bm-0002-1 binder for XRF) to create a pellet. The mixed sample is then placed in a manual press (vaneox 15/25T press) and pressed at 20 tons for 60 s. This pellet is ready for analysis.
For the AAS and ICP-MS analysis, the samples have to undergo the procedure of dissolution as presented: the required mass of the sample is mixed with H2O2 (30%), HNO3 (65%) and HF (40%). This mixture is sealed in a Teflon vessel and heated with a temperature program in a microwave oven. This is followed by neutralization of HF with H3BO3. The neutralization is again carried out in a known temperature program in the microwave oven. In order to avoid the contamination of the total suspended solids in AAS and ICP-MS instruments, filtration and centrifugation are crucial. The final solution is ready for analysis.
For each analytical instrument, the relative mean difference (RMD) between mean measured values and reported ones of each element is calculated and reported as a percentage of RMD:
%RMDDEV = |XiDEV − Xiref|/Xiref
where
  • i stands for each measured element;
  • DEV stands for each utilised analytical instrument (ICP-MS, GFAAS, WDXRF);
  • XiDEV is the measured concentration of the i element using the DEV equipment;
  • Xiref is the reference (reported) value of the i element.
The average of all percentages of relative mean differences are then presented for each utilised analytical instrument.

3. Results

In Table 1, the reported (reference) values (%) of six major elements in the ash of the reference materials (biofuel and SRF) are shown. The results for these elements of the ash samples measured with the WDXRF and ICP-MS instruments are also shown. Furthermore, in this Table, the relative mean differences (%) for both techniques are also given. Finally, a comparison between the average RMDs for both measurements is shown.
In Table 2, the reported values (ppm) for seven trace elements for both fuels are shown. The next two columns present the values of the same elements measured with the GFAAS and ICP-MS instruments. The two RMDs of each technique are also presented in the last two columns. A comparison between the average RMDs of the measurements is also given.
Table 3 shows the results (ppm) for additional trace elements, in both reference materials, measured by ICP-MS in a single run, which are not measured in the GFAAS.

4. Discussion and Conclusions

Inductively coupled plasma mass spectrometry (ICP-MS), atomic absorption spectroscopy (AAS) and X-ray fluorescence (XRF) are analytical techniques employed in the analysis of elements in various matrices, including solid alternative fuels.
XRF provides rapid, simultaneous multi-element determinations and is non-destructive. It is especially useful for major elemental analysis. The accuracy of this technique can be excellent, especially with calibration standards that closely match the matrix of the sample. XRF is less sensitive than ICP-MS for many trace elements. Surface homogeneity of the sample and particle size can affect the results.
AAS measures one element at a time, making it a bit slower than ICP-MS for multi-element analysis. Flame AAS is commonly used for major and minor elements, while graphite furnace AAS can detect trace levels. This technique offers good accuracy and precision for many elements, especially at the concentration levels typically found in alternative fuels. It is limited to the analysis of metals and some metalloids. Also, AAS may have matrix interferences, and certain elements may require special lamps or conditions for analysis.
ICP-MS provides rapid multi-element determinations with the capability to detect elements at extremely low concentrations (in the ppb or even ppt range). This technique offers high accuracy and precision, especially for trace elements. Isotopic analysis is also possible. Some potential interferences may arise from overlapping isotopic masses. Matrix interferences, double-ion species or polyatomic species can sometimes affect accuracy. With collision/reaction cells, many of these interferences can be mitigated for trace elements.

Results Discussion

As presented in Table 1 and Table 2, the results of the elemental analysis of biofuels and SRFs using the techniques mentioned above show a satisfactory accuracy compared to the reference values. The results of the detection of major and trace elements using WDXRF and GFAAS are expected to be close to the reported values since these techniques are applied constantly in the laboratory. The use of the newly acquired instrument (ICP-MS), even though it has not been extensively tested compared to the other two instruments, showed that its results have better proximity to the reference values. Comparing each element individually, it is observed that in most elements (major and especially trace), the measured values are closer to the reference values compared to XRF and AAS. The high sensitivity of the instrument, combined with its complexity, requires further specialization of the analysts and the highest purity in reagents and also laboratory conditions (clean room) in which the measurement is conducted. When these challenges are achieved, this instrument can provide greater accuracy in each measurement. Furthermore, the high productivity of the instrument allows for a large volume of samples to be processed. Observing the results, we conclude that ICP-MS will become a very powerful analytical tool for characterizing various solid fuels in a region transitioning from lignite to new more environmentally fuels.
In conclusion, the optimal technique often depends on the specific requirements of the analysis (e.g., elements of interest, required detection limits, available sample preparation facilities and budget). In many labs working on solid alternative fuels, a combination of these techniques might be employed to leverage the strengths of each.

Author Contributions

A.T.: methodology, validation, investigation, writing—review and editing; P.S.: writing—review and editing, project administration; P.A.: writing—review and editing, C.K.: writing—review and editing, I.K.: writing—review and editing P.G.: writing—review and editing, supervision. All authors have read and agreed to the published version of the manuscript.

Funding

Partnership and Cooperation Agreement (NSRF) 2014–2020, European Regional Development Fund (ERDF) “Development of New Innovative Energy Technologies of Low Carbon Footprint for the Enhancement of Excellence in the Region of Western Macedonia”, MIS code 5047197 of The Operational Program “Competitiveness, Entrepreneurship & Innovation” (EPAnEK) co-financed by Greece and the European Union.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available in a publicly accessible repository that does not issue DOIs. Publicly available datasets were analysed in this study. These data can be found here: https://excelwmac.gr/en (assessed on 29 August 2023).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Alternative Fuels. Available online: https://alternative-fuels-observatory.ec.europa.eu/general-information/alternative-fuels (accessed on 25 August 2023).
  2. Mantas, V.; Tomas, V. Proximate and elemental analysis of solid biofuel and influence to combustion process. In Proceedings of the CYSENI 2012, Kaunas, Lithuania, 24–25 May 2012. [Google Scholar]
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  4. Analytik Jena. Operating Manual, PlasmaQuant MS Product Family, Inductively Coupled Plasma Mass Spectrometer (ICP-MS); Analytik Jena: Jena, Germany, 2020. [Google Scholar]
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  6. SHIMADZU. SHIMADZU Atomic Absorption Spectrophotometer: AA-6300 Instruction Manual; SHIMADZU: Kyoto, Japan, 2007. [Google Scholar]
  7. ISO 14780:2017; Solid Biofuels—Sample Preparation. ISO: Geneve, Switzerland, 2017.
  8. ISO/TS 16996:2015; Solid Biofuels—Determination of Elemental Composition by X-ray Fluorescence. ISO: Geneve, Switzerland, 2015.
  9. EN ISO 16967:2015; Solid Biofuels—Determination of Major Elements. ISO: Geneve, Switzerland, 2015.
  10. EN ISO 16968:2015; Solid Biofuels—Determination of Minor Elements. ISO: Geneve, Switzerland, 2015.
  11. EN ISO 21646:2022; Solid Recovered Fuels—Sample Preparation. ISO: Geneve, Switzerland, 2022.
  12. EN ISO 22940:2021; Solid Recovered Fuels—Determination of Elemental Composition by X-ray Fluorescence. ISO: Geneve, Switzerland, 2021.
  13. EN 15410:2011; Solid Recovered Fuels—Methods for the Determination of the Content of Major Elements (Al, Ca, Fe, K, Mg, Na, P, Si, Ti). CEN: Brussels, Belgium, 2011.
  14. EN 15411:2011; Solid Recovered Fuels—Methods for the Determination of the Content of Major Elements (As, Ba, Be, Cd, Co, Cr, Cu, Hg, Mo, Mn, Ni, Pb, Sb, Se, Tl, V and Zn). CEN: Brussels, Belgium, 2011.
Table 1. Major elements in the ash of reference materials (% w/w).
Table 1. Major elements in the ash of reference materials (% w/w).
ElementReference ValuesWDXRF ResultsICP-MS ResultsWDXRF %RMDICP-MS %RMD
Solid biofuel RM (palm kernel)
Na0.210.260.2323.819.52
Mg6.967.026.510.866.47
Al1.051.120.986.676.67
K15.9615.6915.241.694.51
Ca8.248.538.283.520.49
Fe1.752.102.0620.0017.71
average %RMD---9.427.56
Solid recovered fuel RM (MSW)
Na1.461.461.5908.90
Mg1.541.71.3410.3912.99
Al9.089.637.716.0615.09
K0.570.690.6021.055.26
Ca21.4325.1420.4117.314.76
Fe2.663.162.8318.806.39
average %RMD---12.278.90
Table 2. Trace elements in reference material fuels (ppm).
Table 2. Trace elements in reference material fuels (ppm).
ElementReference ValuesGFAAS ResultsICP-MS ResultsGFAAS %RMDICP-MS %RMD
Solid biofuel RM (palm kernel)
Cd0.0260.0210.0219.2310.54
Cr7.849.706.6723.7214.92
Cu23.2527.9523.5120.221.14
Mn236234.252680.7413.56
Ni4.394.114.786.388.86
Pb0.610.740.7321.3119.67
Zn41.6639.3050.295.6620.70
average %RMD---13.9012.77
Solid recovered fuel RM (MSW)
Cd1.351.531.3013.333.87
Cr78.178.1066.390.0014.99
Cu133.1145120.588.949.41
Mn45.35554.1621.4119.56
Ni16.6419.1018.1514.789.06
Pb35.3729.8632.0715.589.34
Zn264.72752753.673.89
average %RMD---11.1010.02
Table 3. Additional elements measured in the ICP-MS single run.
Table 3. Additional elements measured in the ICP-MS single run.
ElementICP-MS (ppm)
Solid biofuel RM
Ti1081
V1.92
Co4.35
As2.71
Sb94.7
Ag1.42
Ba46.5
Ce1.49
Tl0.01
Solid recovered fuel RM
Ti14.5
V0.68
Co0.14
As0.72
Ag0.01
Ba3.23
Ce0.20
Tl0.01
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MDPI and ACS Style

Triantafillidis, A.; Stogiannis, P.; Amarantos, P.; Kontodimos, I.; Ketikidis, C.; Grammelis, P. Trace and Major Elements Analysis of Alternative Solid Fuels by Means of Inductively Coupled Plasma Mass Spectrometry: Comparison with Atomic Absorption Spectrometry and X-ray Fluorescence Results. Eng. Proc. 2023, 56, 238. https://doi.org/10.3390/ASEC2023-16634

AMA Style

Triantafillidis A, Stogiannis P, Amarantos P, Kontodimos I, Ketikidis C, Grammelis P. Trace and Major Elements Analysis of Alternative Solid Fuels by Means of Inductively Coupled Plasma Mass Spectrometry: Comparison with Atomic Absorption Spectrometry and X-ray Fluorescence Results. Engineering Proceedings. 2023; 56(1):238. https://doi.org/10.3390/ASEC2023-16634

Chicago/Turabian Style

Triantafillidis, Aristotelis, Prokopis Stogiannis, Panagiotis Amarantos, Ioannis Kontodimos, Chrysovalantis Ketikidis, and Panagiotis Grammelis. 2023. "Trace and Major Elements Analysis of Alternative Solid Fuels by Means of Inductively Coupled Plasma Mass Spectrometry: Comparison with Atomic Absorption Spectrometry and X-ray Fluorescence Results" Engineering Proceedings 56, no. 1: 238. https://doi.org/10.3390/ASEC2023-16634

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