Next Article in Journal
Voltage-Dependent Emission Varying from Blue to Orange–Red from a Nondoped Organic Light-Emitting Diode with a Single Emitter
Next Article in Special Issue
The Interrelation of Synthesis Conditions and Wettability Properties of the Porous Anodic Alumina Membranes
Previous Article in Journal
Temperature-Dependent Exciton Dynamics in a Single GaAs Quantum Ring and a Quantum Dot
Previous Article in Special Issue
Ion-Beam Synthesis of Gallium Oxide Nanocrystals in a SiO2/Si Dielectric Matrix
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Structural Study of Nano-Clay and Its Effectiveness in Radiation Protection against X-rays

1
Laboratory of Saharan Natural Resources, Faculty of Science and Technology, University of Adrar, National Highway No. 06, Adrar 01000, Algeria
2
Laboratory of Energy Environment and Information System (LEEIS), Department of Material Science, Faculty of Science and Technology, University of Adrar, National Highway No. 06. Adrar 01000, Algeria
3
Department of Mathematics and Sciences, Faculty of Humanities and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
4
INFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, Italy
*
Authors to whom correspondence should be addressed.
Nanomaterials 2022, 12(14), 2332; https://doi.org/10.3390/nano12142332
Submission received: 10 May 2022 / Revised: 25 June 2022 / Accepted: 28 June 2022 / Published: 7 July 2022

Abstract

:
With the increasing applications of nuclear technology, radiation protection has become very important especially for the environment and the personnel close to radiation sources. Natural clays can be used potentially for shielding the X-ray radiations. In this study, the correlation between structural parameters and radiation shielding performance of natural clay extracted from Algerian Sahara (Adrar, Reggan, and Timimoune) was investigated. Phase composition and structural parameters (lattice parameters, average crystallite size, and microstrain) were determined by the Rietveld refinements of X-ray diffraction patterns in the frame of HighScore Plus software. The obtained results showed that the studied clays are nanocrystalline (nano-clay) since the calculated crystallite size was ≈3 nm for the feldspar phase. FTIR spectra confirmed the presence of all phases already detected by XRD analysis besides Biotite (around the band at 3558 cm−1). The remaining bands corresponded to absorbed and adsorbed water (3432 cm−1 and 1629 cm−1, respectively) and atmospheric CO2 (2356 cm−1). The shielding properties (mass absorption coefficient—µ/ρ and radiative attenuation rate—RA) for (green-yellow, green, and red) clays of Adrar, (red, white, and white-red) clays of Reggan, and red clay of Timimoune at same energy level were examined. The results of clay samples were compared with each other. The obtained results indicated that the green clay of Adrar exhibited the superior radiation shielding, i.e., 99.8% and 243.4 cm2/g for radiative attenuation rate and mass absorption coefficient, respectively.

Graphical Abstract

1. Introduction

A few decades ago, rays were discovered and revolutionized many research fields for cutting-edge technologies. Nonetheless, their use presents serious risks that may outweigh their benefits. In this context, radioactive pollution is one of the most dangerous hazards threatening the environment and our planet including humans, animals, and plants.
Historically, in 1895 at the University of Wurzburg, Wilhelm Conrad Roentgen (1845–1923) [1,2] was studying various physical phenomena such as the cathode rays from an evacuated glass tube. When he observed a glowing fluorescent screen, Roentgen discovered the mysterious penetrating radiation called X-rays [2,3]. Nowadays, X-rays offer wide range of applications covering medical [4], military [5], space [6], security [7], and industrial [8] fields and in scientific research [9,10].
After that discovery, Henri Becquerel believed that phosphorescent uranium salts released rays after long exposure to the sun, but he abandoned this hypothesis and discovered in 1896 that uranium salts cause rays to occur naturally, meaning that the substance itself causes rays [11].
Marie Curie called this phenomenon radioactivity, even though Henri Becquerel [11] discovered it. She won the Nobel Prize twice alongside her husband Pierre and Henry Becquerel in physics and again in chemistry for discovering radium and polonium radioactive elements [12]. During World War I, She also contributed to the dissemination and development of mobile X-ray devices for armies [13].
Radiation is the energy released as electromagnetic waves or particles [14]. The sources of radiation include radon gas, the energy given off by a radioisotope, medical X-rays, and cosmic rays from outer space [15].
One can recall the use of radiation in many fields, for example, in medical applications (detection of SARS-CoV-2, radiation for cancer treatment, radio, and scans) [16,17], industrial fields [18], and military fields (radiological weapons, atomic and nuclear bombs rockets, mines, and ammunition) [19]. The utilization of radiation has pros and cons, and therefore, researchers have discovered several ways to reduce its negative effects, such as installations buried underground [20], storage in lead containers [21], a glass system (CaO-K2O-Na2O-P2O5 and Bi2O3–Na2O–TiO2–ZnO–TeO2) [22,23], nanomaterials [24], and clays and nano-clays [20,25].
Clays and nano-clays possess diverse interesting properties, including electrical [26,27], thermal [28,29], mechanical [30,31], and physicochemical [32,33]. Therefore, they are considered essential and important components in many areas such as cosmetics [34], cooking utensils [35], heavy metal filters [36], and geotechnical engineering (used to build roads, dams, mortar walls, airports, and landfills) [37].
The most commonly used and well-known materials for X-ray radiation shielding are lead (Pb) [38], tungsten (W) [39], and iron (Fe) [40]. Although they prevent exposure from radiation, toxicity and environmental aspects have pushed researchers toward the search for new less hazardous and cost-effective alternatives. This study aimed to investigate natural clays from the south of Algeria (Sahara) as potential candidates for radiation shielding. Particular emphasis was devoted to study the physicochemical properties of seven types of clays from three regions, namely, Adrar, Reggan, and Timimoune in correlation with their X-ray shielding ability including the radiative attenuation rate and mass absorption coefficient.

2. Experimental

The clay powders were examined by the X-ray diffraction (XRD) method using the X-ray ADRX Benchtop diffractometer (Ontario, Canada) equipped with a Cu-Kα radiation source (λCu = 0.15418 nm). The analysis of phase composition was performed by using ICDD (PDF-2, 2014) and COD-2021 database files. Structural parameters were determined from the refinements of XRD patterns using the HighScore Plus program (version 3.0.4) (Almelo, The Netherlands) based on the Rietveld method [41].
The Fourier transform infrared spectra (FTIR) were recorded in the range 4000–400 cm−1 using the Agilent Cary 600 Series FTIR spectrometer (Springvale, Australia). A reference spectrum of KBr was subtracted to yield the final clay spectrum. The system software was capable of baseline correction, subtraction, and peak deconvolution of the measured spectra.
The clay samples were tested for X-ray shielding by using an X-ray apparatus (3B SCIENTIFIC PHYSICS (230 V, 50/60 Hz) 1000657) (Hamburg, Germany). The distance from the X-ray beam source to the clay was 5 cm. The samples were exposed to X-rays at the tube anode voltage of 30 kV with a switchable and electronically stabilized emission current in the range 0–80 μA. A Geiger-Muller (1000661) (Hamburg, Germany) tube was used to measure the X-ray transmission and a self-quenching Halogen trigger counter tube was used for registering X-radiation. The natural clay sample dimensions are given in Table 1. Each sample was exposed independently, and the mean value of each sample was calculated. The same procedure was also completed on synthetized clay samples with different thicknesses (5, 10, and 15 mm) in order to compare the shielding ability among the samples.
X-rays produced in X-ray tubes are also called Coolidge X-ray tubes [42] or hot cathode tubes. The principle is as follows: electrons emitted by a cathode (a filament, most often made of tungsten, heated by the passage of an electric current) are accelerated by a high potential difference in the direction of a target consisting of a metal anode (also made of tungsten) [43]. The different types of interactions between the X-ray beam and a material are:
(i)
Transmitted without changing direction [44].
(ii)
Transmitted by changing direction (at an angle) or diffused. The dissemination can be carried out without loss of energy (elastic scattering, it is at the origin of X-ray diffraction by crystals [42]) or with loss of energy (part of the energy is given up to an electron), and it is called inelastic diffusion which is at the origin of the Compton effect [45].
(iii)
Absorbed by atoms: under the action of incident radiation, an electron from an atom in the sample can be ejected from the electronic layer it occupied, which is the photoelectric effect, with the ejected electron being called a photoelectron. An electron from a higher layer can replace the ejected electron. This electronic jump is accompanied by an X-ray called fluorescence radiation [43,45].
The well-known Beer–Lambert law describes the absorption of X-rays by matter. When X-rays of intensity I pass through a substance of length dx, the X-ray intensity decreases by dI according to [46]:
d I = μ   I   d x
where µ is the linear absorption coefficient and represents the characteristic of the material.
Without absorption of photons in the sample (x = 0), the incident intensity is I0. The integration of Equation (1) gives the following expression [47]:
I = I 0 e μ x
The linear absorption coefficient µ of X-rays by a material strongly depends on the nature of the atoms for a given frequency. Additionally, the absorption is more likely considered as the atomic number Z of the material [22,23]. Since the volumetric mass (ρ) of a substance reflects both the nature and quantity of the substance per unit volume, it would be more appropriate to relate the absorption coefficient to it (ρ) [48]:
I = I 0 e μ x   ρ x
where ρx represents the mass thickness (the mass per unit area of a material layer of thickness x).
The following Equation (4) introduces the mass absorption coefficient µ/ρ [cm2/g]. It can also be written as follows [48]:
μ ρ = d I I 1 ρ   d x
The radiative attenuation percentages RA (%) of materials are calculated using the following Equation (5) [49]:
R A = I 0 I I 0 × 100

3. Result and Discussion

3.1. Structural Study

The recorded XRD pattens for the studied clay sample powders (green-yellow clay of Adrar (S1), green clay of Adrar (S2), red clay of Adrar (S3), red clay of Reggan (S4), white clay of Reggan (S5), white-red clay of Reggan (S6), and red clay of Timimoune (S7)) are shown in Figure 1. Each pattern was arbitrarily shifted vertically for better observation. Although there were differences in the XRD patterns of different samples, the following general statements can be highlighted:
(i)
The diffraction patterns displayed numerous peaks corresponding to different crystalline phases in each sample, where the most intense were present in (S6), (S5), and (S2).
(ii)
There was the presence of the same peak in all samples (2θ = 26.68°) but its intensity changed, which corresponded to the quartz phase (Figure 2).
(iii)
There was the presence of new peaks in samples (S6) (2θ = 27.54°) and (S1) (2θ = 11.60°) which were absent in the remaining samples.
(iv)
The peak located at (2θ = 12.33°) disappeared from sample (S2), while it was present in the remaining samples.
Figure 1. XRD patterns of the studied natural clay samples.
Figure 1. XRD patterns of the studied natural clay samples.
Nanomaterials 12 02332 g001
All the observed differences may be due to the presence of different phases in each sample; hence, Rietveld refinement was performed to identify the different phases and determine more precisely the phase composition alongside structural parameters for each phase (Figure 2).
Figure 2. Rietveld refinements of XRD patterns of (S1) green-yellow clay—Adrar, (S2) green clay—Adrar, (S3) red clay—Adrar, (S4) red clay—Reggan, (S5) white clay—Reggan, (S6) white-red clay—Reggan, and (S7) red clay—Timimoune.
Figure 2. Rietveld refinements of XRD patterns of (S1) green-yellow clay—Adrar, (S2) green clay—Adrar, (S3) red clay—Adrar, (S4) red clay—Reggan, (S5) white clay—Reggan, (S6) white-red clay—Reggan, and (S7) red clay—Timimoune.
Nanomaterials 12 02332 g002aNanomaterials 12 02332 g002bNanomaterials 12 02332 g002c
The Rietveld refinement by fitting the experimental X-ray diffraction patterns represents the ideal method for structural characterization [50], including qualitative and quantitative analyses of multiphase materials as well as different clay types [51]. Several researchers have adopted the XRD and Rietveld methods to determine the structural parameters of various systems [52,53,54,55].
Figure 2 displays the refined XRD patterns for (green-yellow, green, and red) clays of Adrar, (red, white, and white-red) clays of Reggan, and red clay of Timimoune based on the initial structural models presented in Table 2.
From the Rietveld analysis, it could be noted that the samples were completely different in terms of their constituent phases (Figure 2), which can be summarized as follows:
-
Quartz was present in all samples with different percentages;
-
Ph-3T was present in (S1) and (S3);
-
Mu was found in (S3), (S4), and (S7);
-
K was present in (S4), (S5), and (S6);
-
F was found only in (S1);
-
Mo and V were found in (S2);
-
S, N, and Ph were present in (S5), (S6), and (S7), respectively.
When using the HighScore Plus program to analyze the samples, it was shown that there were different phases (10 phases). Table 2 illustrates the structural characteristics of the primary phases used in the fitting of the experimental XRD patterns. These theoretical details used during the Rietveld refinements are mentioned for comparison, since many researchers have relied on the HighScore Plus program to analyze the XRD patterns of clays [56,57,58].
Figure 3 presents the quantitative analysis of the studied clay samples (S1, S2, S3, S4, S5, S6, and S7). For sample (S1), it was observed that the predominant phases were ph-3T and F with a ratio of 55.6% and 27.9%, respectively. It is also important to note that these two phases were found only in sample S1 (Figure 3 (S1)).
Furthermore, the (S2) sample was characterized by two phases that were found only in this sample (Figure 2 (S2)), namely, Ph with a small percentage of up to 3.3% and Mo (30.7%), whereas the predominant phase was the Q phase with a maximum ratio of 57%.
The Mu phase was clearly detected with a significant amount in samples (S3), (S4), and (S7) (Figure 3 (S3, S4, S7)), i.e., 27.2%, 50.3%, and 27.3%, respectively.
In Figure 3 (S6), the sample (S6) contained mainly three phases with the predominance of Ph phase, i.e., 45.6%, 25.5%, and 28.7% for Ph, K, and Q, respectively.
Herein, it is important to highlight that the Q phase participated in the formation of all samples, with a maximum amount in (S2) (57%) and the lowest amount in (S1) (16.5%).
The characterization of the structure of the clay powders was carried out by determining the cell parameters (a, b, c, α, β, γ, and unit cell volume), the crystallite size (nm), and the microstrain (%) by the Rietveld refinement. This method is based on fitting an experimental XRD pattern from a simulated crystallographic model that is as close as possible and depends on the analytical functions. All the results are reported in Table 3.
From Table 3, it can be observed that the smallest crystallite size value of ~3 nm was obtained for the F phase for sample (S1), whereas the maximum value of ~517 nm was obtained for the montmorillonite phase for sample (S2). For the Q phase, the smallest value for the crystallite size of ~73 nm was found for sample (S2) compared to all samples. For the variation of the microstrain, it is noted that the smallest value was obtained for the Q1 phase irrespective of the clay samples, i.e., setting in the range 0.077–0.178%, while the highest value of the microstrain belonged to the F phase, i.e., 7.6% for sample (S1). Furthermore, it is important to highlight that the values of crystallite size and microstrain are inversely proportional [59].
The smallest value of crystallite size in the nanometer scale was noted for sample (S3) for the phengite phase (~10 nm), which is comparatively slightly higher than its value (~3.2 nm) in sample (S1).
The muscovite phase dominant in S4 (Figure 3 (S4)) reaching about 50% was characterized by a crystallite size in the nanometer scale of ~7 nm. As for the kaolinite phase, it was characterized by similar values of a crystallite size of 9.6, 13.7, and 12.9 nm for samples (S4), (S5), and (S6), respectively.
The sanidine and nacrite phases were characterized by crystallite sizes equal to 21.0 nm and 11.1 nm, respectively, and they only appeared in samples (S5) and (S7).

3.2. FTIR Analysis

FTIR spectroscopy is an analytical characterization method with high sensitivity for the identification of substances’ components even at very small amounts, primarily bonding and functional groups [60]. This makes FTIR a very effective tool in mineralogy studies [51] and it was already applied for clay minerals [61]. Moreover, based on FTIR, one can identify crystalline [62], non-crystalline [63], and even organic [64] materials. The frequencies (cm−1) obtained from the recorded spectra in the region 4000–400 cm−1 of seven clay samples are displayed in Figure 4.
The infrared spectra of samples were arbitrarily shifted vertically to better depict the analysis. All spectra were characterized by bands that appeared in two well-defined spectral regions that originated from OH and SiO4 vibrations, which is supported by the data published in the literature [65,66,67]. Apparently, all examined samples presented twelve common bands located at ~470, ~531, ~701, ~787, ~908, ~1035, ~1112, ~1629, ~2356, ~3432, ~3625, and ~3696 cm−1. The tentative assignment for different bands in the vibrational spectra of the studied clay samples is presented in Table 4.
As seen from Figure 4 and the information listed in Table 4, all clay samples showed a broad absorption band at ~3432 cm−1 and a weak band at ~1629 cm−1 which could be assigned to the absorbed water [63]. The bands located around ~3432, ~3624, and ~3696 cm−1 were characteristic of OH group vibration elongation whereas the band ~2355 cm−1 could correspond to the presence of atmospheric CO2 in the samples [68]. The IR bands at ~1111 and ~1035 cm−1 were attributed to Si–O stretching out-of-plane and Si–O stretching in-plane, respectively, while the band at ~908 cm−1 suggested the presence of an Al–OH–Al functional group.
Further analysis of all IR spectra indicated the presence of Si–O and Si–O–Al stretching vibrations expressed by the absorption bands at ~786 and ~700 cm−1, respectively, while the latter band could also be a determinant of (Al, Mg)–O–H, Si–O–(Mg, Al) stretching.
The band located at ~530 cm−1 corresponded to the Si–O–Al stretching and Si–O bending. Finally, the broad absorption band around ~470 cm−1 was assigned to Si–O bending and Si–O–Fe stretching.
From XRD analysis, it was confirmed that all clay samples had different compositions of mineral phases, including quartz, feldspar, phengite-3T, montmorillonite, vermiculite, muscovite, kaolinite, sanidine, phengite, and nacrite. This corroborated with the FTIR analysis (Figure 5) by comparing the observed wavenumbers with the available data in the literature [63,69,70,71].
The presence of bands around ~1084, ~797, ~778, ~695, and ~468 cm−1 indicated that all clay samples contained the quartz phase. This supports the XRD results of clay samples (Figure 2).
For sample (S1), the IR spectrum revealed the presence of bands located at ~1031, ~778, ~694, ~528, ~468, and ~429 cm−1, which confirmed the presence of the feldspar phase in the red clay Reggan sample.
The muscovite phase existed in the samples (S3), (S4), and (S7) (Figure 2 (S3, S4, and S7)). Moreover, the IR spectrum confirmed this result; the muscovite characteristic bands were ~3619, ~3429, ~1629, ~1085, ~1031, ~1007, ~834, ~773, ~692, ~643, ~528, ~470, and ~425 cm−1.
The splitting bands in the region of 1000–4000 cm−1 including ~3726, ~3604, ~3430, and ~1029 cm−1 as well as the only band at ~466 cm−1 indicated the presence of the kaolinite phase in samples (S4), (S5), and (S6) (Figure 2 (S4), (S5), and (S6)). The observed absorption bands of kaolinite are in good agreement with findings of Golnaz et al. [63]. The characteristic bands corresponding to the sanidine phase were present at ~426, ~468, ~528, ~643, ~777, ~1029, and ~1156 cm−1.
The band at around ~528 cm−1 was attributed to the coupling between the K–O stretching vibration and the O–Si–O bending vibration. Moreover, the absorption band at ~643 cm−1 which was not present in the spectra of samples (S1), (S2), (S3), (S4), (S6), and (S7) corresponded to the O–Si (Al)–O bending vibrations. The characteristic montmorillonite absorption bands were observed at ~3619, ~3434, ~1029, ~912, and ~796 cm−1. Moreover, the vermiculite phase was defined by the following characteristic bands at ~3650, ~3409, and ~1635 cm−1.
As is clear in the IR spectra, the sample (S7) looked different compared to other samples. It was characterized by the presence of additional strong bands characteristic of the nacrite phase (Figure 5 (S7)), located at ~1111, ~1164, ~1007, ~970, ~910, ~798, ~753, ~694, ~533, ~541, ~473, and ~422 cm−1, as well as one band located at a higher wavenumber ~3625. Note that this phase did not appear except in sample (S7) (Figure 2 (S7)).
Herein, it is important to highlight that the FTIR analysis was very helpful in detecting some additional phases that were not apparent by XRD analysis. This includes biotite ~3557 cm−1 for samples (S4) and (S7) and kaolinite for samples (S2), (S3), and (S5). This may be because its percentage was very small (less than 2%), which is over the limit of X-ray detection [59].

3.3. Effect of Radiation Protection (Shielding)

From the obtained results presented in Table 5, it is noted that all the natural clay samples (extracted from the ground) exhibited good ability for radiation shielding, with a mean value above 99%. This may be due to the chemical elements and the constituent phases forming the investigated clay samples, irrespective of the nature of the clay (Figure 2).
The mass absorption coefficient (µ/ρ) is mainly affected by the nature and quantity of atoms that make up the substance as well as the thickness. Furthermore, it has been reported that the mass attenuation coefficient for a given material is dependent on the atomic number of the absorbing material and the incident photon energy. On the other hand, the exciting photon energy depends on material properties, including thickness. If the absorbing material consists of more than one element, the mass attenuation coefficient of the composite material is a function of the mass attenuation coefficients of individual elements and their respective mass fraction in the path of the photon beam [72]. It can be noticed that its value varied considerably, reaching the maximum value of 323 cm2/g for sample (S7) with (x = 5 mm) while the lowest value of 87.45 cm2/g was obtained for sample (S3) with (x = 15 mm). Indeed, the value of the mass absorption coefficient was found to be inversely proportional to the thickness, as reported by Ekinci N et al. [73].
Figure 6 depicts the variation of the radiative attenuation rate of different clay samples. It is noted that the obtained shielding parameters were remarkable, reaching up to 99.61% with a mass absorption coefficient of 263.89 cm2/g for sample (S2) and a thickness of 5 mm. These results are excellent compared to the results obtained by Akbulut S et al. [74], where the authors reported that the best radiative attenuation rate for the micronize clay–white cement mixture reached about 77%. Further, it is important to mention that the results obtained from the synthesized clays differed markedly from the natural clay samples. Indeed, the best sample for shielding was the manufactured (S2), and on the contrary, the weakest shielding for natural samples was also (S2). This may be because it is fragile, incoherent, and has very many cracks and holes, as found in nature [75]. The natural clay sample (S4), formed by very cohesive and hard components, demonstrated the best sample for shielding with the highest characteristics, i.e., 99.61% and 248.27 cm2/g.
The results of clay X-ray shielding were significantly high, reaching the best radiative attenuation rate of 99.79%, which is excellent compared to lead and tungsten [76,77]. These high shielding properties may be due to the components of the clay composed of various elements and metals with different contents, such as Al [78], Fe [79], Ti [80], Sr [81], and Si [82]. Consequently, the shielding rate values differed amongst the samples according to the proportions of the constituent elements.
As is clear, the effect of the thickness on the shielding was direct, as the radiative attenuation rate of materials increased with the increase in the thickness, as reported by Tsustumi K et al. [83].
The synthetized sample (S2) was the best clay sample with excellent ability to stop X-rays regardless of the change in thickness (Table 5). This may be due to the vermiculite phase [84] (Figure 4).
As for the comparison with the results obtained by Vagheian et al. [76], it should be highlighted that the authors used a weak energy in the range 8–14 KeV compared to the higher energy used in this study reaching up 30 keV.
In addition, Kim, S.-C. et al. [77] investigated tungsten-based materials with thicknesses in the range of millimeters subjected to different post-processing cold and hot rolling. It was found that the obtained results were preferable to lead-based materials, since the highest shielding rate of 100% was achieved for the hot-rolled plate with a thickness of 0.3 mm and an energy of 24.6 keV.
Furthermore, it is important to highlight that the clay material used in this study is natural eco-friendly, abundant, and very cheap compared to less abundant, expensive, and toxic metals such as lead or tungsten as reported in the literature. Furthermore, it does not matter if the vermiculite layer of shielding is thicker than the lead or tungsten layer to absorb the same amount of radiation because vermiculite has a very low density when compared to lead [84].

4. Conclusions

In this research, structural and X-ray shielding analyses were carried out on Algerian Sahara natural clays as potential alternatives to conventional metal or concrete materials. Phase identification and composition and structural parameters were determined by X-ray diffraction Rietveld refinements. Furthermore, the mass absorption coefficient (µ/ρ) and radiative attenuation ratio (RA) values of the studied clay samples were correlated with the phase composition and the thickness. The following conclusions could be highlighted:
-
XRD analysis showed that the studied and extracted clays from different regions of Adrar in Algeria could be classified as nanomaterials because the estimated crystallite size was found to be less than 100 nm, e.g., up to 3 nm for the feldspar phase.
-
The samples consisted of several phases, but the quartz phase was present irrespective of the nature of the clay with varying proportions. The vermiculite had the smallest ratio (3.3%), and the montmorillonite (30.7%) phase was found only in the sample green clay—Adrar.
-
FTIR bands appearing in two well-defined spectral regions originated from OH and SiO4 vibrations for all clay samples. FTIR confirmed the phases already observed by XRD analysis but also revealed new phases such as biotite (band ~3557 cm−1) for the samples red clay—Reggan and red clay—Timimoune as well as kaolinite (band ~466 cm−1) for the samples green clay—Adrar, red clay—Adrar, and white clay—Reggan.
-
The mass absorption coefficient (µ/ρ) and radiative attenuation ratio (RA) were found to be mainly affected by the nature, quantity of atoms, and thickness of the clay samples. The highest shielding values were obtained for sample green clay—Adrar, reaching 99.79% and 243.43 cm2/g for (RA) and (µ/ρ), respectively. This may be due to the vermiculite phase.
This research work demonstrated the promising potential of natural clays extracted from the region of Adrar in the Algerian Sahara as cost-effective alternatives to the conventional toxic heavy metals to preserve the environment and health.

Author Contributions

Conceptualization, E.S. and M.B.; methodology, E.S.; software, E.S.; validation, E.S. and B.S.; formal analysis, E.S. and M.B.; investigation, E.S. and B.S.; resources, E.S. and S.B.; data curation, E.S. and B.S.; writing—original draft preparation, E.S., M.B. and S.B; writing—review and editing, E.S., B.S., M.B. and S.B.; visualization, E.S. and B.S.; supervision, M.B. and S.B.; project administration, E.S. and B.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Budoff, M.J.; Achenbach, S.; Hecht, H.S.; Narula, J. (Eds.) Atlas of Cardiovascular Computed Tomography; Springer: Berlin/Heidelberg, Germany, 2018. [Google Scholar]
  2. Stabin, M.G. (Ed.) Radiation Protection and Dosimetry; Springer: New York, NY, USA, 2007. [Google Scholar]
  3. Hassan, Y.A.; Chaplin, R.A. (Eds.) Nuclear Energy Materials and Reactors—Volume I; EOLSS Publications: Oxford, UK, 2010. [Google Scholar]
  4. Zhao, T.; Zhang, S.-X. X-ray Image Enhancement Based on Nonsubsampled Shearlet Transform and Gradient Domain Guided Filtering. Sensors 2022, 22, 4074. [Google Scholar] [CrossRef] [PubMed]
  5. Thalhammer, S.; Hörner, A.; Küß, M.; Eberle, S.; Pantle, F.; Wixforth, A.; Nagel, W. GaN Heterostructures as Innovative X-ray Imaging Sensors—Change of Paradigm. Micromachines 2022, 13, 147. [Google Scholar] [CrossRef] [PubMed]
  6. Parkman, T.; Nevrkla, M.; Jančárek, A.; Turňová, J.; Pánek, D.; Vrbová, M. Table-Top Water-Window Microscope Using a Capillary Discharge Plasma Source with Spatial Resolution 75 nm. Appl. Sci. 2020, 10, 6373. [Google Scholar] [CrossRef]
  7. Hassan, T.; Shafay, M.; Akçay, S.; Khan, S.; Bennamoun, M.; Damiani, E.; Werghi, N. Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. Sensors 2020, 20, 6450. [Google Scholar] [CrossRef]
  8. Schmoeller, M.; Stadter, C.; Kick, M.K.; Geiger, C.; Zaeh, M.F. A Novel Approach to the Holistic 3D Characterization of Weld Seams—Paving the Way for Deep Learning-Based Process Monitoring. Materials 2021, 14, 6928. [Google Scholar] [CrossRef]
  9. Singh, S.; Sajwan, M.; Singh, D. COVID-19 Chest X-Rays Classification Using Deep Learning. In Computational Intelligence and Applications for Pandemics and Healthcare; IGI Global: Hershey, PA, USA, 2022; pp. 25–39. [Google Scholar]
  10. Abramova, E.; Popova, N.; Artemiev, G.; Zharkova, V.; Zakharova, E.; Safonov, A. Characteristics and rates of microbial processes in clays of different mineral and elemental composition in relation to safety prediction for ESB clay materials. Appl. Sci. 2022, 12, 1843. [Google Scholar] [CrossRef]
  11. Yu, J. Nuclear physics. In Fundamental Principles of Nuclear Engineering; Springer: Singapore, 2022; pp. 543–576. [Google Scholar]
  12. Abergel, R.; Aris, J.; Bolch, W.E.; Dewji, S.A.; Golden, A.; Hooper, D.A.; Margot, D.; Menker, C.G.; Paunesku, T.; Schaue, D.; et al. The Enduring Legacy of Marie Curie: Impacts of Radium in 21st Century Radiological and Medical Sciences. Int. J. Radiat. Biol. 2022, 98, 267–275. [Google Scholar] [CrossRef]
  13. Bartley, P. The Home Front: 1914–1918. In Women’s Activism in Twentieth-Century Britain; Palgrave Macmillan: Cham, Switzerland, 2022; pp. 37–61. [Google Scholar]
  14. Yu, J. Radiation Protection. In Fundamental Principles of Nuclear Engineering; Springer: Singapore, 2022; pp. 673–699. [Google Scholar]
  15. Walencik-Łata, A.; Szkliniarz, K.; Kisiel, J.; Polaczek-Grelik, K.; Jędrzejczak, K.; Kasztelan, M.; Szabelski, J.; Orzechowski, J.; Tokarski, P.; Marszał, W.; et al. Characteristics of Natural Background Radiation in the GIG Experimental Mine ‘Barbara’, Poland. Energies 2022, 15, 685. [Google Scholar] [CrossRef]
  16. An, K.; Kim, C.; Cho, K.H.; Bae, S.; Cha, B.K.; Kang, K.T. Spectral response tuning of organic photodetectors using strong microcavity effects for medical X-ray detector application. Org. Electron. 2022, 100, 106384. [Google Scholar] [CrossRef]
  17. Muralidharan, N.; Gupta, S.; Prusty, M.R.; Tripathy, R.K. Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. Appl. Soft Comput. 2022, 119, 108610. [Google Scholar] [CrossRef]
  18. Yang, Z.; Liu, Z.; Zhu, J.; Xu, J.; Pu, Y.; Bao, Y. Green synthesis and characterization of gold nanoparticles from Pholiota adiposa and their anticancer effects on hepatic carcinoma. Drug Deliv. 2022, 29, 997–1006. [Google Scholar] [CrossRef] [PubMed]
  19. He, D.; Zhang, N.; Iqbal, A.; Ma, Y.; Lu, X.; Qiao, Z.A.; Yu, J.H.; Xu, H.; Wang, W.; Zhao, R.; et al. Multispectral electromagnetic shielding using ultra-thin metal-metal oxide decorated hybrid nanofiber membranes. Commun. Mater. 2021, 2, 101. [Google Scholar] [CrossRef]
  20. Sugita, Y.; Kikuchi, H.; Hoshino, E. Backfill Material Characteristics Using the Bentonite/Excavated Rock Mixture in the Horonobe Underground Research Laboratory Project (Contract Research); Japan Atomic Energy Agency: Ibaraki, Japan, 2021. [Google Scholar]
  21. Sayyed, M.I.; Elsafi, M.; Almuqrin, A.H.; Cornish, K.; Elkhatib, A.M. Novel Shielding Mortars for Radiation Source Transportation and Storage. Sustainability 2022, 14, 1248. [Google Scholar] [CrossRef]
  22. Sayyed, M.I.; Albarzan, B.; Almuqrin, A.H.; El-Khatib, A.M.; Kumar, A.; Tishkevich, D.I.; Elsafi, M. Experimental and theoretical study of radiation shielding features of CaO-K2O-Na2O-P2O5 glass systems. Materials 2021, 14, 3772. [Google Scholar] [CrossRef]
  23. Sayyed, M.I.; Askin, A.; Zaid, M.H.M.; Olukotun, S.F.; Khandaker, M.U.; Tishkevich, D.I.; Bradley, D.A. Radiation shielding and mechanical properties of Bi2O3–Na2O–TiO2–ZnO–TeO2 glass system. Radiat. Phys. Chem. 2021, 186, 109556. [Google Scholar] [CrossRef]
  24. Thibeault, S.A.; Kang, J.H.; Sauti, G.; Park, C.; Fay, C.C.; King, G.C. Nanomaterials for radiation shielding. MRS Bull. 2015, 40, 836–841. [Google Scholar] [CrossRef]
  25. Bagheri, K.; Razavi, S.M.; Ahmadi, S.J.; Kosari, M.; Abolghasemi, H. Thermal resistance, tensile properties, and gamma radiation shielding performance of unsaturated polyester/nanoclay/PbO composites. Radiat. Phys. Chem. 2018, 146, 5–10. [Google Scholar] [CrossRef]
  26. Ban, R.; Chen, X.; Yang, X.; Wang, J.; Pan, Z.; Song, Y. Strength and electrical resistivity characteristic of carbonating reactive MgO-mixed red clay under different water contents. Arab. J. Geosci. 2022, 15, 657. [Google Scholar] [CrossRef]
  27. Ammar, L.B.; Fakhfakh, S.; Jbara, O.; Rondot, S. Effect of nanoclay concentration level on the electrical properties of polypropylene under electron irradiation in a SEM. J. Microsc. 2017, 265, 322–334. [Google Scholar] [CrossRef]
  28. Zhu, Y.; Iroh, J.O.; Rajagopolan, R.; Aykanat, A.; Vaia, R. Optimizing the Synthesis and Thermal Properties of Conducting Polymer–Montmorillonite Clay Nanocomposites. Energies 2022, 15, 1291. [Google Scholar] [CrossRef]
  29. Jafari Horastani, S.; Karevan, M.; Ghane, M. Structural, thermal, and viscoelastic response of nanoclay reinforced polylactic acid/thermoplastic polyurethane shape-memory nanocomposites of low transition temperature. Polym. Adv. Technol. 2022, 5727, 1–16. [Google Scholar] [CrossRef]
  30. Song, Y.; Wang, J.Q.; Chen, X.J.; Yu, S.Z.; Ban, R.L.; Yang, X.; Zhang, X.; Han, Y. Study the effects of dry-wet cycles and cadmium pollution on the mechanical properties and microstructure of red clay. Environ. Pollut. 2022, 302, 119037. [Google Scholar] [CrossRef] [PubMed]
  31. Rafiee, R.; Shahzadi, R. Mechanical properties of nanoclay and nanoclay reinforced polymers: A review. Polym. Compos. 2019, 40, 431–445. [Google Scholar] [CrossRef]
  32. Vajglová, Z.; Simakova, I.L.; Eränen, K.; Mäki-Arvela, P.; Kumar, N.; Peurla, M.; Tolvanen, S.; Efimov, A.; Hupa, L.; Peltonen, J.; et al. The physicochemical and catalytic properties of clay extrudates in cyclization of citronellal. Appl. Catal. A Gen. 2022, 629, 118426. [Google Scholar] [CrossRef]
  33. Agafonov, A.V.; Kudryakova, N.O.; Ramenskaya, L.M.; Grishina, E.P. The confinement and anion type effect on the physicochemical properties of ionic liquid/halloysite nanoclay ionogels. Arab. J. Chem. 2020, 13, 9090–9104. [Google Scholar] [CrossRef]
  34. Gomes, C.; Rautureau, M.; Poustis, J.; Gomes, J. Benefits and Risks of Clays and Clay Minerals to Human Health from Ancestral to Current Times: A Synoptic Overview. Clays Clay Miner. 2022, 69, 612–632. [Google Scholar] [CrossRef]
  35. Xu, H. People’s Livelihood of the City. In The Earliest China; Springer: Singapore, 2022; pp. 201–214. [Google Scholar]
  36. Selvan, B.K.; Thiyagarajan, K.; Das, S.; Jaya, N.; Jabasingh, S.A.; Saravanan, P.; Rajasimman, M.; Vasseghian, Y. Synthesis and characterization of nano zerovalent iron-kaolin clay (nZVI-Kaol) composite polyethersulfone (PES) membrane for the efficacious As2O3 removal from potable water samples. Chemosphere 2022, 288, 132405. [Google Scholar] [CrossRef]
  37. Momeni, M.; Bayat, M.; Ajalloeian, R. Laboratory investigation on the effects of pH-induced changes on geotechnical characteristics of clay soil. Geomech. Geoeng. 2022, 17, 188–196. [Google Scholar] [CrossRef]
  38. Almurayshid, M.; Alssalim, Y.; Aksouh, F.; Almsalam, R.; ALQahtani, M.; Sayyed, M.I.; Almasoud, F. Development of new lead-free composite materials as potential radiation shields. Materials 2021, 14, 4957. [Google Scholar] [CrossRef]
  39. Monzen, H.; Kanno, I.; Fujimoto, T.; Hiraoka, M. Estimation of the shielding ability of a tungsten functional paper for diagnostic X-rays and gamma rays. J. Appl. Clin. Med. Phys. 2017, 18, 325–329. [Google Scholar] [CrossRef]
  40. Hashemi, S.A.; Mousavi, S.M.; Faghihi, R.; Arjmand, M.; Rahsepar, M.; Bahrani, S.; Lai, C.W. Superior X-ray radiation shielding effectiveness of biocompatible polyaniline reinforced with hybrid graphene oxide-iron tungsten nitride flakes. Polymers 2020, 12, 1407. [Google Scholar] [CrossRef] [PubMed]
  41. Bortolotti, M.; Lutterotti, L.; Pepponi, G. Combining XRD and XRF analysis in one Rietveld-like fitting. Powder Diffr. 2017, 32, S225–S230. [Google Scholar] [CrossRef]
  42. Mould, R.F. William David Coolidge (1873–1975). Biography with special reference to X-ray tubes. Biul. Pol. Tow. Onkol. Nowotwory 2017, 2, 345–352. [Google Scholar] [CrossRef] [Green Version]
  43. Li, J.Q.; Xie, X.Y.; Li, S.H.; Zhang, Q.H. Reliable potential and spatial size of virtual cathode obtained by an emissive probe with accurate filament temperature in a vacuum. Vacuum 2022, 200, 111013. [Google Scholar] [CrossRef]
  44. Langland, O.E.; Langlais, R.P.; Preece, J.W. Principles of Dental Imaging; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2002. [Google Scholar]
  45. Hau-Riege, S.P. High-Intensity X-rays-Interaction with Matter: Processes in Plasmas, Clusters, Molecules and Solids; John Wiley & Sons: Hoboken, NJ, USA, 2012. [Google Scholar]
  46. Laperche, V.; Metayer, C.; Gaschaud, J.; Wavrer, P.; Quiniou, T. On the Influence and Correction of Water Content on pXRF Analysis of Lateritic Nickel Ore Deposits in the Context of Open Pit Mines of New-Caledonia. Minerals 2022, 12, 415. [Google Scholar] [CrossRef]
  47. Wang, D.; Wu, S.; Zhou, M.; Zhao, J.; Li, G.; Wang, K.; Lin, L. Application of multi-wavelength dual-position absorption spectrum to improve the accuracy of leukocyte spectral quantitative analysis based on “M + N” theory. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2022, 276, 121199. [Google Scholar] [CrossRef]
  48. Zahran, H.Y.; Mohammed, M.I.; Alqahtani, M.S.; Reben, M.; Algarni, H.; Umar, A.; Albargi, H.B.; Yahia, I.S.; Abdel-wahab, M.S.; Ibrahim, M.A. Radiation attenuation properties of the quaternary semiconducting compounds Cu2CoGe [S, Se, Te] 4. Results Phys. 2022, 37, 105488. [Google Scholar] [CrossRef]
  49. Ding, B.; Zhang, L.; Liu, J. Study on Shielding and Radiation Resistance of Basalt Fiber to Gamma Ray. Materials 2022, 15, 2522. [Google Scholar] [CrossRef]
  50. Sakher, E.; Loudjani, N.; Benchiheub, M.; Belkahla, S.; Bououdina, M. Microstructure Characterization of Nanocrystalline Ni₅₀Ti₅₀ Alloy Prepared via Mechanical Alloying Method Using the Rietveld Refinement Method Applied to the X-ray Diffraction. Nanosyst. Nanomater. Nanotechnol. 2017, 15, 401–416. [Google Scholar]
  51. Zhao, N.; Ju, F.; Song, Q.; Pan, H.; Ling, H. A simple empirical model for phenanthrene adsorption on soil clay minerals. J. Hazard. Mater. 2022, 429, 127849. [Google Scholar] [CrossRef]
  52. Warcholinski, B.; Gilewicz, A.; Lupicka, O.; Kuprin, A.S.; Tolmachova, G.N.; Ovcharenko, V.D.; Chizhik, S.A. Structure of CrON coatings formed in vacuum arc plasma fluxes. Surf. Coat. Technol. 2017, 309, 920–930. [Google Scholar] [CrossRef]
  53. Warcholinski, B.; Gilewicz, A.; Kuprin, A.S.; Tolmachova, G.N.; Ovcharenko, V.D.; Kuznetsova, T.A.; Chizhik, S.A. Mechanical properties of Cr-ON coatings deposited by cathodic arc evaporation. Vacuum 2018, 156, 97–107. [Google Scholar] [CrossRef]
  54. Khandelwal, S.; Rhee, K.Y. Evaluation of pozzolanic activity, heterogeneous nucleation, and microstructure of cement composites with modified bentonite clays. Constr. Build. Mater. 2022, 323, 126617. [Google Scholar] [CrossRef]
  55. Costa, L.M.; Almeida, N.G.; Houmard, M.; Cetlin, P.R.; Silva, G.J.; Aguilar, M.T. Influence of the addition of amorphous and crystalline silica on the structural properties of metakaolin-based geopolymers. Appl. Clay Sci. 2021, 215, 106312. [Google Scholar] [CrossRef]
  56. Zunino, F.; Scrivener, K. Microstructural developments of limestone calcined clay cement (LC3) pastes after long-term (3 years) hydration. Cem. Concr. Res. 2022, 153, 106693. [Google Scholar] [CrossRef]
  57. Zunino, F.; Scrivener, K. Oxidation of pyrite (FeS2) and troilite (FeS) impurities in kaolinitic clays after calcination. Mater. Struct. 2022, 55, 9. [Google Scholar] [CrossRef]
  58. TAM da Cruz, T.A.; Geraldo, R.H.; Costa, A.R.; Maciel, K.R.; Gonçalves, J.P.; Camarini, G. Microstructural and mineralogical compositions of metakaolin-lime-recycled gypsum plaster ternary systems. J. Build. Eng. 2022, 47, 103770. [Google Scholar]
  59. Sakher, E.; Loudjani, N.; Benchiheub, M.; Bououdina, M. Influence of milling time on structural and microstructural parameters of Ni50Ti50 prepared by mechanical alloying using Rietveld analysis. J. Nanomater. 2018, 2018, 11. [Google Scholar] [CrossRef] [Green Version]
  60. Wang, H.; Xiang, J.; Wen, X.; Du, X.; Wang, Y.; Du, Z.; Cheng, X.; Wang, S. Multifunctional Skin-inspired Resilient MXene-embedded Nanocomposite Hydrogels for Wireless Wearable Electronics. Compos. Part A Appl. Sci. Manuf. 2022, 155, 106835. [Google Scholar] [CrossRef]
  61. Jozanikohan, G.; Abarghooei, M.N. The Fourier transform infrared spectroscopy (FTIR) analysis for the clay mineralogy studies in a clastic reservoir. J. Pet. Explor. Prod. Technol. 2022, 2022, 1–4. [Google Scholar] [CrossRef]
  62. Toscano, G.; Maceratesi, V.; Leoni, E.; Stipa, P.; Laudadio, E.; Sabbatini, S. FTIR spectroscopy for determination of the raw materials used in wood pellet production. Fuel 2022, 313, 123017. [Google Scholar] [CrossRef]
  63. Diana, R.; Caruso, U.; Gentile, F.S.; Di Costanzo, L.; Musto, P.; Panunzi, B. Structural feature of thermo-induced fluorochromism in a 1D zinc coordination polymer. A cross-analysis by PL and FTIR spectroscopy, and DFT formalism. Dye. Pigment. 2022, 202, 110247. [Google Scholar] [CrossRef]
  64. Pärnpuu, S.; Astover, A.; Tõnutare, T.; Penu, P.; Kauer, K. Soil organic matter qualification with FTIR spectroscopy under different soil types in Estonia. Geoderma Reg. 2022, 28, e00483. [Google Scholar] [CrossRef]
  65. Valášková, M.; Klika, Z.; Vlček, J.; Matějová, L.; Martaus, A.; Topinková, M.; Palkova, H.; Madejová, J. Metakaolin-Based Geopolymers: Influence of Metakaolins on Quantitative Phase Composition and Mechanical Properties. Available online: https://ssrn.com/abstract=4060028 (accessed on 22 June 2022).
  66. Wickramasuriya, A.I.; Chandima Wickramasinghe Arachchige, R.; Kottegoda, I.R. Characterization and Modification of Clay for Removal of Drinking Water Hardness. Mater. Sci. Res. India 2021, 18, 318–331. [Google Scholar] [CrossRef]
  67. Platov, Y.T.; Platova, R.A.; Molodkina, P.G. Using Decomposition of IR Spectra to Analyze Structural-Phase Transformations of Kaolinite. J. Appl. Spectrosc. 2021, 87, 1029–1036. [Google Scholar] [CrossRef]
  68. Bih, N.L.; Mahamat, A.A.; Chinweze, C.; Ayeni, O.; Bidossèssi, H.J.; Onwualu, P.A.; Boakye, E.E. The Effect of Bone Ash on the Physio-Chemical and Mechanical Properties of Clay Ceramic Bricks. Buildings 2022, 12, 336. [Google Scholar] [CrossRef]
  69. Bismayer, U.; Srilomsak, S.; Treekamol, Y.; Tanthanuch, W.; Suriyatham, K. Artefacts from Ban Chiang, Thailand: Pottery with hematite-red geometric patterns. Z. Krist.—Cryst. Mater. 2020, 235, 559–568. [Google Scholar] [CrossRef]
  70. Djomgoue, P.; Njopwouo, D. FT-IR spectroscopy applied for surface clays characterization. J. Surf. Eng. Mater. Adv. Technol. 2013, 3, 275. [Google Scholar] [CrossRef] [Green Version]
  71. Jovanovski, G.; Makreski, P. Minerals from Macedonia. XXX. Complementary use of vibrational spectroscopy and X-ray powder diffraction for spectra-structural study of some cyclo-, phyllo-and tectosilicate minerals. A review. Maced. J. Chem. Chem. Eng. 2016, 35, 125–155. [Google Scholar] [CrossRef] [Green Version]
  72. Kotwaliwale, N.; Weckler, P.R.; Brusewitz, G.H. X-ray attenuation coefficients using polychromatic X-ray imaging of pecan components. Biosyst. Eng. 2006, 94, 199–206. [Google Scholar] [CrossRef]
  73. Ekinci, N.; Mahmoud, K.A.; Sarıtaş, S.; Aygün, B.; Hessien, M.M.; Bilici, I.; Rammah, Y.S. Development of Tincal based polypropylene polymeric materials for radiation shielding applications: Experimental, theoretical, and Monte Carlo investigations. Mater. Sci. Semicond. Process. 2022, 146, 106696. [Google Scholar] [CrossRef]
  74. Akbulut, S.; Sehhatigdiri, A.; Eroglu, H.; Çelik, S. A research on the radiation shielding effects of clay, silica fume and cement samples. Radiat. Phys. Chem. 2015, 117, 88–92. [Google Scholar] [CrossRef]
  75. Kubissa, W.; Glinicki, M.A.; Dąbrowski, M. Permeability testing of radiation shielding concrete manufactured at industrial scale. Mater. Struct. 2018, 51, 1–5. [Google Scholar] [CrossRef] [Green Version]
  76. Vagheian, M.; Sardari, D.; Saramad, S.; Ochbelagh, D.R. Experimental and theoretical investigation into X-ray shielding properties of thin lead films. Int. J. Radiat. Res. 2020, 18, 263–274. [Google Scholar]
  77. Kim, S.-C. Improving the X-ray Shielding Performance of Tungsten Thin-Film Plates Manufactured Using the Rolling Technology. Appl. Sci. 2021, 11, 9111. [Google Scholar] [CrossRef]
  78. Manjunatha, H.C.; Seenappa, L.; Chandrika, B.M.; Sridhar, K.N.; Hanumantharayappa, C. Gamma, X-ray and neutron shielding parameters for the Al-based glassy alloys. Appl. Radiat. Isot. 2018, 139, 187–194. [Google Scholar] [CrossRef]
  79. Dong, M.; Xue, X.; Liu, S.; Yang, H.; Li, Z.; Sayyed, M.I.; Agaret, O. Using iron concentrate in Liaoning Province, China, to prepare material for X-Ray shielding. J. Clean. Prod. 2019, 210, 653–659. [Google Scholar] [CrossRef]
  80. Fujisaki, K.; Tadano, S.; Todoh, M.; Giri, B. Effect of Skin and Subcutaneous Tissue on X-Ray Strain Measurement of Ti Implant. In Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, 7–12 September 2009; Springer: Berlin/Heidelberg, Germany, 2009. [Google Scholar]
  81. Öztürk, O.; Karaburç, S.N.; Saydan, M.; Keskin, U.S. High rate X-ray radiation shielding ability of cement-based composites incorporating strontium sulfate (SrSO4) minerals. Kerntechnik 2022, 87, 115–124. [Google Scholar] [CrossRef]
  82. Manjunatha, H.C.; Sathish, K.V.; Seenappa, L.; Gupta, D.; Raj, S.A.C. A study of X-ray, gamma and neutron shielding parameters in Si-alloys. Radiat. Phys. Chem. 2019, 165, 108414. [Google Scholar] [CrossRef]
  83. Tsustumi, K.; Obashi, M.; Sawada, M. Absorption Coefficients of Fine Structures of X-ray Absorption Spectra at Various Absorber Thickness. J. Phys. Soc. Jpn. 1958, 13, 43–50. [Google Scholar] [CrossRef]
  84. Gülbiçim, H.; Tufan, M.Ç.; Türkan, M.N. The investigation of vermiculite as an alternating shielding material for gamma rays. Radiat. Phys. Chem. 2017, 130, 112–117. [Google Scholar] [CrossRef]
Figure 3. Evolution of the proportions of the identified phases as a function of clay samples: (S1) green-yellow clay—Adrar, (S2) green clay—Adrar, (S3) red clay—Adrar, (S4) red clay—Reggan, (S5) white clay—Reggan, (S6) white-red clay—Reggan, and (S7) red clay—Timimoune.
Figure 3. Evolution of the proportions of the identified phases as a function of clay samples: (S1) green-yellow clay—Adrar, (S2) green clay—Adrar, (S3) red clay—Adrar, (S4) red clay—Reggan, (S5) white clay—Reggan, (S6) white-red clay—Reggan, and (S7) red clay—Timimoune.
Nanomaterials 12 02332 g003aNanomaterials 12 02332 g003b
Figure 4. FTIR spectra of clay samples (S1, S2, S3, S4, S5, S6, and S7).
Figure 4. FTIR spectra of clay samples (S1, S2, S3, S4, S5, S6, and S7).
Nanomaterials 12 02332 g004
Figure 5. Evolution of stretching bands in the FTIR spectra of clay samples (S1, S2, S3, S4, S5, S6, and S7).
Figure 5. Evolution of stretching bands in the FTIR spectra of clay samples (S1, S2, S3, S4, S5, S6, and S7).
Nanomaterials 12 02332 g005aNanomaterials 12 02332 g005b
Figure 6. Radiative attenuation rate of the synthetized clay samples with different thicknesses (x = 5, 10, and 15 mm).
Figure 6. Radiative attenuation rate of the synthetized clay samples with different thicknesses (x = 5, 10, and 15 mm).
Nanomaterials 12 02332 g006
Table 1. Characteristics and specifications of the studied samples.
Table 1. Characteristics and specifications of the studied samples.
SamplesCodeColorDimensions
(mm)
Weight (g)
Natural SamplesSynthesized Samples
5 mmX1 = 5 mmX2 = 10 mmX3 = 15 mm
Clay of Adrar S1Green-YellowLength = 30
Width = 25
Thickness:
X1 = 5
X2 = 10
X3 = 15
7.2312.4817.1030.33
S2Green5.4815.4124.7031.10
S3Red/9.7018.4130.17
Clay of Reggan S4Red7.8011.7519.0624.50
S5White/14.3420.8031.67
S6White-Red7.1513.1121.5433.14
Clay of Timimoune S7Red7.8710.3518.1928.90
Table 2. Crystallographic parameters and properties of different phases used for the Rietveld refinements.
Table 2. Crystallographic parameters and properties of different phases used for the Rietveld refinements.
PhasesChemical FormulaCrystal
System
Space
Group
Cell Parameters
(a, b, c) in Å; (α, β, γ) in °
Volume
(Å3)
Q Si3.00O6.00HexagonalP 31 2 1a = 4.9160; b = 4.9160; c = 5.4090 α = 90; β = 90; γ = 120113.21
FrCa0.80Sr3.20Si8.00Al8.00O32.00TriclinicP-1a = 8.3670; b = 9.1170; c = 9.2910 α = 89.57; β = 82.75; γ = 83.38698.37
PhK1.90Na0.10Al9.12Mg0.80Fe1.12Si12.96O47.84F0.16H7.84MonoclinicC 1 2/c 1a = 5.2230; b = 9.0620; c = 20.0440 α = 90; β = 95.74; γ = 90.00938.93
Phe-3TK3.00Al5.36Mg1.92Si10.72O36.00H6.00HexagonalP 31 1 2a = 5.2140; b = 5.2140; c = 29.7380 α = 90; β = 90; γ = 120700.14
MoAl4.00Si8.00O24.00Ca1.00TriclinicP 1a = 5.1800; b = 8.9800; c = 15.0000 α = 90; β = 90; γ = 90697.75
VMg13.64Si11.44Al4.56O48.00MonoclinicC 1 2/c 1a = 5.3490; b= 9.2550; c = 28.7217 α = 90; β = 93.5290; γ = 901419.17
MuK2.91Na0.68Ca0.04Al11.01Fe0.12Mg0.09Si12.51Ti0.08O48.00MonoclinicC 1 2/c 1a = 5.1910; b = 9.0050; c = 20.1170α = 90; β = 95.7730; γ = 90933.43
KAl2.00Si2.00O9.00H4.00TriclinicP 1a = 5.1520; b = 5.1540; c = 7.3910 α = 74.954; β = 84.22; γ = 60.20164.37
SK4.00Si12.00Al4.00O32.00MonoclinicC 1 2/m 1a = 8.6060; b = 13.0170; c = 7.1850α = 90; β = 115.97; γ = 90736.84
NAl8.00Si8.00O36.00H16.00MonoclinicC 1 c 1a = 8.9100 b = 5.1440; c = 14.5930 α = 90; β = 100.50; γ = 90657.94
Q (quartz), F (feldspar), Ph-3T (phengite-3T), Mo (montmorillonite), V (vermiculite), Mu (muscovite), K (kaolinite), S (sanidine), Ph (phengite), and N (nacrite).
Table 3. Structural parameters of clay samples (S1, S2, S3, S4, S5, S6, and S7) obtained from the Rietveld refinements.
Table 3. Structural parameters of clay samples (S1, S2, S3, S4, S5, S6, and S7) obtained from the Rietveld refinements.
SamplePhasesCell Parameters
(a, b, c) in Å; (α, β, γ) in °
Volume
3)
Crystallite Size
(nm)
Microstrain (%)
S1Qa = 4.9157; b = 4.9157; c = 5.4097α = 90; β = 90; γ = 120113.2183.50.121
Fa = 8.7663; b = 9.0274; c = 9.4109α = 89.51; β = 82.32; γ = 83.14732.783.07.611
Ph-3Ta = 5.2568; b = 5.2568; c = 31.1166α = 90; β = 90; γ = 120744.683.27.109
S2Qa = 4.9162; b = 4.9162; c = 5.4065 α = 90; β = 90; γ = 120113.1673.60.178
Moa = 5.2544; b = 8.94925; c =14.9868 α = 90; β = 90; γ = 90704.73516.74.422
Va = 5.36634; b = 9.16184; c = 28.7061α = 90; β = 93.73347; γ = 901408.36132.90.262
S3Q a = 4.91733; b = 4.91733; c = 5.4093α = 90; β = 90; γ = 120113.2794.20.128
Mua = 5.23369; b = 9.04311; c = 20.0579α = 90; β = 95.57645; γ = 90944.8318.71.142
Ph-3Ta = 5.2037; b = 5.2037; c = 29.6038 α = 90; β = 90; γ = 120694.2310.11.682
S4Qa = 4.9149; b = 4.9149; c = 5.4065α= 90; β = 90; γ = 120113.10101.40.131
Ka = 5.1465; b = 5.2105; c = 7.4517α = 74.887; β = 84.49; γ = 60.07167.059.62.215
Mua = 5.2120; b = 9.0133; c = 20.0607 α = 90; β = 95.98; γ = 90937.267.22.116
S5Qa = 4.91522; b = 4.9152; c = 5.4052 α = 90; β = 90; γ = 120113.09115.80.093
Ka = 5.16362; b = 5.1861; c = 7.4264 α = 74.92; β = 84.37; γ = 60.07166.2913.41.748
Sa = 8.6968; b = 12.9754; c = 7.1882 α = 90; β = 115.6405; γ = 90731.2721.00.972
S6Qa = 4.9149; b = 4.9149; c = 5.4067 α = 90; β = 90; γ = 120113.11130.80.077
Ka = 5.1409; b = 5.1759; c = 7.4345 α = 74.88; β = 84.30; γ = 60.18165.5812.91.534
Pha =5.2182; b = 9.0297; c = 20.0673 α = 90; β = 96.034; γ = 90940.3010.31.332
S7Qa = 4.9139; b = 4.9139; c = 5.4078 α = 90; β = 90; γ = 120113.08118.30.085
Mua = 5.2337; b = 8.9646; c = 20.1286 α = 90; β = 95.36; γ = 90940.2611.21.223
Na = 8.9685; b = 5.1728; c = 14.4872 α = 90; β = 98.19908; γ = 90665.2311.91.874
Table 4. Assignment of the bands in the powder infrared spectrum of clay samples.
Table 4. Assignment of the bands in the powder infrared spectrum of clay samples.
Wavenumber (cm1)Assignment
470.1493Si–O bending, Si–O–Fe stretching
530.5970Si–O bending, Si–O–Al stretching
700.7463Si–O stretching, Si–O–Al stretching
786.5672Si–O stretching, Si–O–Al stretching, (Al, Mg)–O–H, Si–O–(Mg, Al) stretching
908.2090Al2OH, AL–O–H vibrations
1035.0748Si–O–Si, Si–O stretching
1111.9403Si–O stretching(out-of-plane)
1629.1045H–O–H stretching
2355.9702Atmospheric CO2
3432.0896Adsorbed water vibrations (H–O–H)
3624.6269Inner OH groups, lying between the sheets of tetrahedral and octahedral units
3696.2687Surface hydroxyls
Table 5. Mass absorption coefficient (µ/ρ) and radiative attenuation percentages (RA) for natural and synthetized clays.
Table 5. Mass absorption coefficient (µ/ρ) and radiative attenuation percentages (RA) for natural and synthetized clays.
ThicknessSamples
S1S2S3S4S5S6S7
Natural clays (V = 3.0 × 2.5 × 0.5 = 3.75 × 10 mm)
Thickness x = 5 mm
RA (%)99.5299.38/99.61/99.4499.55
µ/ρ (cm2/g)217.39218.05/248.27/184.93212.96
Synthetized clays
Thickness x = 5 mm
µ/ρ (cm2/g)248.98263.89174.79309.01167.12237.02323.06
Thickness x = 10 mm
µ ρ (cm2/g)237.81243.43143.31308.31167.07228.45283.13
Thickness x = 15 mm
µ/ρ (cm2/g)193.75214.2787.45280.91158.69175.37229.39
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Sakher, E.; Smili, B.; Bououdina, M.; Bellucci, S. Structural Study of Nano-Clay and Its Effectiveness in Radiation Protection against X-rays. Nanomaterials 2022, 12, 2332. https://doi.org/10.3390/nano12142332

AMA Style

Sakher E, Smili B, Bououdina M, Bellucci S. Structural Study of Nano-Clay and Its Effectiveness in Radiation Protection against X-rays. Nanomaterials. 2022; 12(14):2332. https://doi.org/10.3390/nano12142332

Chicago/Turabian Style

Sakher, Elfahem, Billel Smili, Mohamed Bououdina, and Stefano Bellucci. 2022. "Structural Study of Nano-Clay and Its Effectiveness in Radiation Protection against X-rays" Nanomaterials 12, no. 14: 2332. https://doi.org/10.3390/nano12142332

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop