1. Introduction
The chemical treatment of phosphate rock with sulfuric acid is used to produce phosphoric acid; this process is characterized by the following overall reaction of :1,2
Ca10(PO4)6F2 + 10 H2SO4 + 20 H2O → 10 (CaSO4 ∙ 2 H2O) + 2 HF + 6 H3PO4 (1)
Industrial Phosphoric acid is one of the most important chemical products; it is used in the production of phosphate fertilizers such as TSP: Ca(H2PO4)2 and DAP: (NH4)2HPO4, feed livestock (CaHPO4∙2H2O), and phosphate sequestration (sodium hexametaphosphate).
The sulfuric attack dissolved practically all of the soil's contaminants at the same time as apatite. Heavy metals, radionuclides, and other natural elements are among them.3 Some of these impurities, such as Yttrium, Scandium and lanthanides, can be recycled and recovered.
The unique physical and chemical properties of rare earth elements (REEs), scandium, and yttrium enable their use in a variety of scientific and engineering fields. Rare earth elements (REEs) such as scandium, yttrium, and lanthanides play an important role in the global economy. Rare earth-based materials are used in the electronic industry, steel industry, household batteries, fluorescent lamps, permanent magnets, and lasers for surgical and nuclear technologies.4,5
The global consumption of REE exceeded 100,000 t in 2011.4,6 Some rare earth elements are more important for industrial applications than others, and their supply may be threatened in the coming decades. Nd, Eu, Tb, Dy, and Y in particular are expected to become highly strategic future metals.7,8 For example, global demand for Nd and Dy is expected to increase by 700 % and 2600 %, respectively, over the next 25 years.4
Scandium, yttrium, and their oxides are especially important in the production of optical glass, high-temperature ceramics, and superconductors. Furthermore, these metals have a wide range of applications in conventional fields such as metallurgy, such as the manufacturing of high-duty cast iron, low-alloy steels, and specific alloys.9-11 Scandium is used for producing filters for generating quasi_monochromatic neutron beams, targets for neutron tubes and generators and sources of β particles.12
The efficiency of using pure REEs, including scandium and yttrium, is primarily determined by their impurity composition, which influences the material structure and properties. However, due to the similarity of physical and chemical properties of REEs, analyzing them is a complex problem, particularly when it comes to determining rare earth impurities (REIs). As a result, multielement selective and precise methods with high sensitivity must be used.Various methods are used to analyze REEs and their oxides, including atomic emission, neutron activation, photometric, polarographic, and others.13-26 However, for pure REEs, the most universal and informative methods are inductively coupled plasma atomic emission spectrometry (ICP-AES) and inductively coupled plasma mass spectrometry (ICP-MS). These methods have advantages such as low detection limits and a broad linear range of determined concentrations. However, a number of issues limit their use for analytically pure and high purity REEs and their oxides. Spectral foldings during atomic emission analysis of REEs with a multilinear spectrum are a serious problem that has received a lot of attention.14-18 The attempt to use mathematical and software means for cross accounting for foldings, complex sample preparation, and analysis using the method of REEs separation (extraction, chromatography) did not allow for the development of unified metrologically secure techniques.17,18
The matrix effect and spectral interferences are the primary limitations of the ICP-MS method.19-24,27 The matrix element's content has a significant impact on the analytical signal, so the matrix element in the solution must be considered to obtain reliable quantitative results. The ICP-MS method's second limitation is related to spectral interferences. During the ICP-MS analysis of REEs, the element of the base forms oxide and hydroxide ions, which interfere with the determination of singly charged REIs. The interference effects are reduced by optimizing the mass spectrometer's operating parameters,19 using a series of reference specimens analogous to the analyzed objects,20,21 and alternative recording of the signal of doubly charged ions of the sought elements,22 preliminary matrix separation,23,24 etc. However, the majority of these procedures are labor intensive and time consuming, and the addition of the stage of chemical pretreatment results in the formation of additional sources of uncertainty.
As a result, it would be advantageous to have a simple, quick, and accurate method for determining yttrium and scandium in industrial phosphoric acid. Because of its acceptable precision and accuracy, as well as its lower cost when compared to the techniques mentioned above, X-ray fluorescence spectrometry (XRF) is always an acceptable technique. We propose using wavelength-dispersive X-ray fluorescence spectrometry (WDXRF) to analyze yttrium and scandium in industrial phosphoric acid with the use of the intensity of the line Kα.
The X-ray fluorescence method was used to detect traces of uranium and thorium in industrial phosphoric acid,28,29 and the author determined values ranging from 0 to 100 ppm of uranium and 0 to 50 ppm of thorium.
2. Experimental
2.1. Materials
2.1.1. Spectrometer
For the determination of yttrium and Scandium, an X-ray fluorescence spectrometer (Magix 3 kW, PW2403, PANalytical) was used; it is a sequential spectrometer with wavelength-dispersive with a channel of measure based on a single goniometer covering the entire range of measure. It has an X-ray tube that serves as the X-ray source, and the anode of the X-ray tube is made of rhodium.
2.1.2. Scintillation detector
It is made up of a sodium iodide crystal with homogeneous distribution of thallium atoms (NaI; Tl), a photocathode, and a tube photomultiplier. The X-ray is converted into light, which is then measured with a photomultiplier.
2.1.3. Gas flow detector
Gas flow detectors generally comprise a thin, insulated wire (for example; 50 μm diameter) mounted in the centre of a cylindrical metal housing. The wire is set to a positive voltage of 1500 − 2000V and acts as the anode, the housing acts as the cathode. The X-rays enter the detector through a thin window (generally a layer of polypropylene 1 to 6 μm thick).
2.2. Sample preparation
Without any prior preparation, industrial phosphoric acid samples are analyzed directly. The industrial phosphoric acid is placed in a cup (special sample holder for liquids) with a polymer film on the bottom and is exposed directly to incident X-rays from the X-ray tube. It comes down to an inverted optical in our case. The X-ray tube is situated under the sample. If the film breaks during the liquid analysis, it can cause damage to these components. As a result, a sufficiently resistant film must be used, as well as a compromise with X-ray absorption and the presence of additives in the film (which allow the film to be more resistant to some products). In the case of direct optical, this problem does not exist. We used a film for liquid analysis by XRF that does not absorb X-rays and has no effect or interference matrix that could influence our results for this problem. This is MYLAR® X-Ray film with a diameter of 63.5 mm. For the industrial phosphoric acid sample, we used a mass of 3 g with a precision of 0.1 mg. To avoid boiling in the vacuum, the analysis is performed under helium (900 hPa pressure).
2.3. Measurement conditions
Measurement conditions of yttrium and scandium in industrial phosphoric acid using WDXRF are summarized as follows in Table 1.
Table 1. Measurement conditions of yttrium and scandium
Figs. 1 and 2 shows the WDXRF analysis of yttrium and scandium in industrial phosphoric acid.
Fig. 1. Detection of yttrium peak in industrial phosphoric acid using WDXRF.
Fig. 2. Detection of scandium peak in industrial phosphoric acid using WDXRF.
• The experimental angle of the line of Yttrium : Y-Kα (2θ°) [noted Y- KA] : 33,848°
• The experimental angle of the line of scandium : Sc-Kα (2θ°) [noted Sc- KA]: 97,623°
3. Validation
Linearity, detection limit and quantification limit, specificity, repeatability, reproducibility and accuracy were applied to validate the proposed method.30
3.1. Linearity
The linearity of an analytical procedure is its ability (within a given range) to obtain test results that are directly proportional to the concentration (amount) of analyte in the sample.
3.1.1. Limit of detection and quantification
1) Limit of detection (LD)
The detection limit of an individual analytical procedure is the lowest amount of analyte in a sample that can be detect but not necessarily quantitated as an exact value.
2) Limit of quantification (LQ)
The quantification limit of an individual procedure is the lowest amount of analyte in a sample that can be quantitatively determined with suitable precision and accuracy. The quantitation limit is a parameter of quantitative assays for low levels of compounds in sample matrices and is used particularly for the determination of impurities and/or degradation products.
3.2. The specificity
Specificity is the ability to asses unequivocally the analyte in the presence of components which may be expected to be present. Typically these might include impurities, degradants, matrix, etc.
3.3. The fidelity (repeatability and reproducibility)31
3.3.1. Repeatability
Repeatability expresses the precision under the same operating conditions over a short interval of time. Repeatability is also termed intra-assay precision.
3.3.2. Reproducibility
Reproducibility expresses the precision between laboratories (collaborative studies usually applied to standardization of methodology).
3.4. The accuracy
The accuracy of an analytical procedure expresses the closeness of agreement between the average value obtained from a large series of test results and an accepted reference value. This is sometimes termed trueness.31
4. Results and Discussion
4.1. Linearity and detection limit and quantification limit
We repeated the analysis (n = 6) at six concentration levels of 0, 25, 50, 100, 150, and 200 ppm for yttrium and 0, 20, 40, 60, 80, and 100 ppm for scandium; the results are summarized in Tables 2 and 3. The intensity obtained at each concentration was plotted against the initial concentration of yttrium and scandium. Microsoft ExcelTM was used to compute the regression characteristics. Tables 4 and 5 present a summary of the results obtained.
Table 2. The measurements of linearity test for Yttrium
Table 3. The measurements of linearity test for Scandium
Table 4. The results of linearity test for Yttrium
Table 5. The results of linearity test for Scandium
Error model: error of the selected model (y = b0 + b1x) for linear regression.
Experimental error: represents the experimental errors made on the measures.
4.1.1. Interpretation
Step 1: Fl observed ratio is greater than the critical value for a variable Fl Fisher, risk α = 1 % for 1 and p (n-1) degrees of freedom. The regression model is acceptable, and we can proceed to the next stage.
Step 2: Fnl observed ratio is less than or equal to the critical value corresponding to a variable Fnl Fisher, risk α = 1 % for p-2 and p (n-1) degrees of freedom. The linear range can be selected validated.
And by drawing the calibration curves of yttrium and scandium while wearing the intensity according to content in yttrium and scandium, we get the curves shown in Figs. 3 and 4.
Fig. 3. Calibration of the method for the determination of yttrium.
Fig. 4. Calibration of the method for the determination of scandium.
The linearity measurements can be used to calculate the sensitivity (b1) and its standard deviation S(b1), the blank value b0 and its standard deviation S(b0).
\(\begin{align}\text {Limit of detection}: L D=\frac{b_{0}+3 . S\left(b_{0}\right)}{b_{1}}\end{align}\) (2)
\(\begin{align}\text {Limit of quantification}: L Q=\frac{b_{0}+10 . S\left(b_{0}\right)}{b_{1}}\end{align}\) (3)
\(\begin{align}b_1=\frac{SPE(x,y)}{SCE(x)}\end{align}\) (4)
\(\begin{align}b_{0}=\overline{\bar{y}}-b_{1} \cdot \overline{\bar{x}}\end{align}\) (5)
\(\begin{align}S\left(b_{1}\right)=\sqrt{\frac{s^{2}(e)}{S C E(x)}}\end{align}\)
Sensitivity b1 standard deviation (6)
\(\begin{align}S\left(b_{0}\right)=\sqrt{s^{2}(e)\left(\frac{1}{n p}+\frac{\overline{\bar{x}}^{2}}{S C E(x)}\right)}\end{align}\)
Blank b0 standard deviation (7)
s2(e) : Regression experimental variance.
SEC(x) : Sum of squared deviations for the variable x.
SPE(x, y) : Sum of the products of deviations for the variable x and y.
The findings of the linearity test are summarized in Table 6:
Table 6. Statistical results of the calibration
By calculating the analytical blank's confidence interval (IC) for yttrium and scandium:
\(\begin{align}I C=\left[b_{0}-t_{V, 1-\frac{\alpha}{2}} \times S\left(b_{0}\right) ; b_{0}+t_{V, 1-\frac{\alpha}{2}} \times S\left(b_{0}\right)\right]\end{align}\) (8)
We got: ICfor yttrium = [-0.027; 0.004]
ICfor scandium = [-0.004; 0.007]
* where \(\begin{align}t_{V, 1-\frac{\alpha}{2}}\end{align}\) is the Student value variable the risk 1 − α/2 with ν = (n × p) − 2 degrees of freedom (α = 1 %).
The value 0 is included in the confidence intervals for both yttrium and scandium, so the model is correct. The linearity domain for yttrium is between 0 and 200 ppm, and for scandium it is between 0 and 100 ppm and that the domain of linearity is validated.
4.2. The specificity
To cover the method's scope, we performed 16 (p = 16) standard additions on selected samples. The regression line that connects the points in the following equation is established:
ri = C0 + C1.vi (9)
C0 is the regression line's intercept.
C1 represents the slope of the regression line.
vi added content of yttrium or scandium in the samples.
ri found yttrium or scandium content = content measured after addition - content measured before addition.
Tables 7 and 8 present a summary of the measurements.
Table 7. Results of specificity test for yttrium
Table 8. Results of specificity test for scandium
We plot the values of vi additions and founded values ri, as well as the calculated straight recovery and slope 1 (equation y = x) on a graph. Figs. 5 and 6 show the curves and the 16 points that correspond to the 16 standard additions for yttrium and scandium, respectively.
Fig. 5. Study of the specificity of the method for the determination of yttrium.
Fig. 6. Study of the specificity of the method for the determination of scandium.
4.2.1. Interpretation
A test is performed to determine whether the slope of the regression line is equal to one by calculating the tobs, which follows a Student distribution with p − 2 degrees of freedom. tobs is a criterion calculated to ensure that the slope matches the description in the validation standard.
\(\begin{align}t_{o b s}=\frac{\left|C_{1}-1\right|}{\sqrt{\frac{s^{2}(e)}{S C E(v)}}}=\frac{\left|C_{1}-1\right|}{s\left(C_{1}\right)}\end{align}\) (10)
s2(e) : Regression experimental.
SEC(v) : Sum of squared deviations for the variable v.
s(C1) : Slope (C1) standard deviation.
a) If tobs is less than or equal the Student table value (risk 1 − α /2 with ν = p − 2 = 14 degrees of freedom), so no interference and the specificity is acceptable.
b) If tobs is greater than the Student table value, the method is not specific.
The risk of error α is taken to 1 % (tcrit = 2.977 from the Student table).
▶ We obtain tobs for yttrium = 0.320 and tobs for scandium = 0.362
A test is performed to determine whether the intercept is equal to zero by calculating the t'obs, which follows a Student distribution with p − 2 degrees of freedom. It is a criterion calculated to verify the intercept as described in the validation standard.
\(\begin{align}t_{o b s}^{\prime}=\frac{\left|C_{0}\right|}{s\left(C_{0}\right)}\end{align}\) (11)
s(C0) : The standard deviation of the intercept C0
a) If t'obs is less than or equal to the value of the Student table to the risk 1 − α /2 with p − 2 degrees of freedom, so the intercept is equal to 0.
b) If t'obs is greater than the Student table value, so the method is not specific.
▶ We obtain t'obs for yttrium = 0.147 and t'obs for scandium = 0.344
• tobs < tcrit : No interference, so the specificity is acceptable for yttrium and for scandium.
• t'obs < tcrit : The intercept equal to zero for yttrium and for scandium.
▶The specificity for these two elements is acceptable.
4.3. The fidelity (repeatability & reproducibility)
4.3.1. Repeatability
We analyzed 10 samples in triplicate repeatability conditions. Tables 9 and 10 summarize the results for yttrium and scandium, respectively.
\(\begin{align}S_{r}^{2}(x)=\frac{S C E_{r}(x)}{N-p}\end{align}\) Internal repeatability variance (12)
\(\begin{align}\operatorname{SEC}_{r}(x)=\sum_{i=1}^{p} \sum_{j=1}^{n}\left(x_{i j}-\bar{x}_{i}\right)^{2}\end{align}\) Sum of squared intra-sample differences (13)
\(\begin{align}\bar{x}_{i}=\frac{\sum_{j=1}^{n_{j}} x_{i j}}{n_{i}}\end{align}\) Sample Average (14)
N = Σpj=1nj Total measurements (15)
\(\begin{align}S_{r}(x)=\sqrt{S_{r}^{2}(x)}\end{align}\) repeatability standard deviation (16)
Table 9. Results of repeatability test for yttrium
Table 10. Results of repeatability test for scandium
We calculate the repeatability coefficient of variation:
\(\begin{align}C V_{r}(\%)=\frac{S_{r}(x)}{\overline{\bar{x}}} \times 100\end{align}\) (17)
We have the standard deviation of repeatability value Sr(x):
Sr(x)for yttrium = 0.820 and Sr(x)for scandium = 0.302
And the coefficient of variation of repeatability intra-laboratory CVr :
CVr for yttrium = 1.33 % and
CVr for scandium = 2.11 %.
◈ Checking the stability of fidelity
It is carried out using the Cochran test with a risk error equal to 1 %. This test determines whether fidelity is consistent across the application domain.
\(\begin{align}C_{o b s}=\frac{S_{\max }^{2}(x)}{\sum_{i=1}^{p} S_{i}^{2}(x)}\end{align}\) (18)
S2max(x) Maximum experimental variance.
Σpi=1S2i(x) Sum of experimental variances.
Cobs Ratio calculated from the above-mentioned equation.
Ccrit The Cochran value variable to the risk 1 % with n distributions and p samples.
Table 11 displays the statistical results of the fidelity stability verification.
Table 11. Statistical results of the verification of the stability of fidelity
▶ Cobs for yttrium and scandium is less than the table value at 1 % margin of error. So the fidelity in terms of intra-laboratory repeatability is constant across the entire field of application for these two elements.
4.3.2. Reproducibility
A sample of industrial phosphoric acid was tested for 10 days (p = 10) with three replicates (n = 3). Table 12 summarizes the yttrium results, while Table 13 summarizes the scandium results.
Table 12. Results of reproducibility test for yttrium
Table 13. Results of reproducibility test for scandium
We have :
\(\begin{align}N^{\prime}=N-\frac{\sum_{i=1}^{p} n_{i}^{2}}{N}\end{align}\) Corrected average number of repetitions (19)
\(\begin{align}S_{L}^{2}(x)=\frac{(p-1)\left(\frac{S E C_{L}(x)}{p-1}-S_{r}^{2}(x)\right)}{N^{\prime}}\end{align}\) Variance inter-sample. (20)
S2R(x) = S2L(x) + S2r(x) Reproducibility Variance. (21)
\(\begin{align}C V_{R}(\%)=\frac{S_{R}(x)}{\overline{\bar{x}}} \times 100\end{align}\) Coefficient of variation of reproducibility. (22)
ni : Number of repetition per day (n = 3).
N: Total measurements.
SCEL(x) : Squared inter-sample differences sum.
S2r(x) : Variance of repeatability.
SR(x) : Internal reproducibility standard deviation.
CVR for yttrium = 1.09 % and CVR for scandium = 1.33 %.
▶ So, the fidelity in terms of reproducibility is acceptable.
4.4. The accuracy
We make 10 repetitions on NIST standards (National Institute of Standards and Technology) for yttrium (Y) 50 ppm and scandium (Sc) 20 ppm.
Table 14 summarizes the results for yttrium and Table 15 summarizes the results for scandium.
Table 14. Results of accuracy test for yttrium
Table 15. Results of accuracy test for scandium
• \(\begin{align}\text {Calculate }t_{c a l}=\frac{\frac{\left|\bar{x}-x_{S R}\right|}{S_{R}(x)}}{\sqrt{n}}\end{align}\) (23)
tcal : Ratio calculated from the equation cited above to verify the accuracy.
• Obtain \(\begin{align}t_{c r i t}=t_{V, 1-\frac{a}{2}}\end{align}\) from the Student table.
• Compare tcal to tcrit
We decide as follows:
• If tcal > tcrit : error accuracy is significant, so the method is not justified.
• If tcal ≤ tcrit : error accuracy is not significant, so the method is justified.
▶ The value of tcal for yttrium and scandium is less than the Student table value. So the method is considered justified.
5. Conclusions
The current study has developed and validated a method for determining yttrium and scandium in industrial phosphoric acid obtained through a wet process. It has several advantages, including measurement speed, accuracy, and low operating costs. The proposed method has the advantage of not requiring the use of reagents to prepare samples for analysis, moreover, the samples were analyzed directly without dilution or preparation, increasing the accuracy of the analyzes. The method is accurate, fast, and useful for industrial phosphoric acid quality control and determining the precise concentration of valuable elements such as yttrium and scandium present in industrial phosphoric acid before extraction. The proposed method for determining yttrium and scandium in industrial phosphoric acid reveals that it contains more yttrium than scandium (about 60 ppm yttrium and 15 ppm scandium).
Acknowledgements
This research was supported by the National Institute of Research and Physico-Chemical Analysis (INRAP), Tunisia.
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