INTRODUCTION

One of the most common glass formers is the boron oxide; it is usually used in manufacturing the commercially glasses. Some specific features make the B2O3 to be a good glass former, these features are: high bond strength, low cation size and small heat of fusion. The construction of glassy B2O3 consists of a random matrix of BO3 triangles connected by B–O–B bonds [14]. Introducing different inorganic cations to the glassy B2O3 is found to change the boron coordination from 3 to 4 and leads to the formation of various cyclic units like diborate, triborate or tetraborate groups [57]. In the case of borate glass doped with low modifier content, the BO4 units are grouped to form tetraborate units. Increasing the content of modifier in B2O3 glasses, the BO4 units are mostly connected with diborate groups. At high modifier content glasses, the development of BO3 units with non-bridging atoms is recommended [8]. Moreover, the PbSO4 doped B2O3 glasses possess both Pb2+ ions and [SO4]2– groups. The [SO4]2– groups mainly contribute to the network replacing the reduced BO3 and BO4 groups [2, 9]. The Pb2+ ions will thus become bounded in the structural gaps as alkali cations or will act as bridges between the network forming units [10]. Lead borate glasses present important applications like white LEDs, luminescence, laser technology, photonics and optoelectronic devices and sealing applications [1115].

Several factors are affecting the disorderly in amorphous semiconductors; such factors are like composition fluctuations, thermal history of the samples and potential fluctuations. This potential fluctuation controls the conduction band edge of the materials. It was estimated by many authors that the density of states in oxide glasses deduced from ac conductivity studies are about 1019 to 1021 cm–3, and these higher values suggests that the conduction via hopping is probably occurs in the band tails [1621]. Therefore, the potential fluctuation in the studied glasses can be considered via macroscopic models as in microscopic models.

Two points of views are assumed to explain the origin of the ac conduction. One assumes the solid is consists of a random independent potential barriers (macroscopic look). Here the electronic and ionic conduction cannot be distinguished. It is almost possible to scale measurements of the frequency-dependent conductivity at different temperatures into one single ‘‘master’’ curve. The only common feature of the numerous different solids exhibiting this ac universality is their disorder. Percolation path approximation (PPA) [22, 23], effective-medium approximation (EMA) [24] and random free energy barrier model [25] are examples of such approximations. When looking deep inside the solid, this is the second point of view (microscopic look), which discusses the conductivity only on the bases of electronic, polaronic and ionic relaxation in the band gap. Quantum mechanical tunneling (QMT) [26], correlated barrier hopping (CBH) and its related modification [2729] are examples of these microscopic models.

Rare studies are found to concern with the conductivity of the glasses doped with PbSO4. In this article, we aimed to study the electric and dielectric properties of some B2O3·PbSO4 glasses on the light of both the macroscopic and microscopic approaches, to get complete information about the electrical conduction in such types of glasses.

EXPERIMENTAL

In the present work we report on the electrical conductivity in a group of glassy samples with the formula: (100 –x)%B2O3·x%PbSO4, where, x limits from 0 to 40 mol %. The samples names and corresponding compositions are listed in Table 1. The mixed batches are melted between 1000 and 1100°C for 90 min. The melts are stirred several times during melting to ensure homogeneity of the samples. The melts are then poured between two pre-cooled stainless steel plates in the open air. To achieve strain free samples, the matured solid samples are directly moved to a pre-heated furnace at 200°C and let to cool slowly over night. Parts of the annealed glasses are then polished to obtain disk shape samples, and the other parts are grinded to obtain powder samples. Philips X-ray diffractometer type PW3710 outfitted with Cu tube anode of wavelength Kα1 = 1.54060 Å and Kα2 = 1.54439 Å is used to examine the structure of the glasses. The generator tension is 40 kV and the generator current is 30 mA. XRD data is collected at angle (2θ) between 10° and 60°. Using the toluene (ρt = 867 kg/m3) as an emersion liquid, the density of the samples is tested according to Archimedes technique. The electrodes are obtained by painting the opposite flat faces of the disk shape samples by an air drying silver paste to achieve good contacts. The I–V characteristics are carried out to check the ohmic behavior. The measurements of dc concuctivity are carried out using 617 Keithly electrometer, whereas ac measurements are done using a computer controlled Stanford LCR bridge model SR 720 at four fixed frequencies 120, 103, 104 and 105 Hz. All the measurements are carried out in the temperature range from 303 to 673 K.

Table 1.   Detailed structure of the B2O3∙PbSO4 glasses, density of oxygen ions (NO-ion), mean spacing between the Pb-ions (RPb-ion), density of states (N), relaxation time (τo), maximum barrier height (Wm) and empirical parameter of the Cole–Cole equation

RESULTS AND DISCUSSION

X-Ray Diffraction

XRD patterns of the (100 – x)%B2O3·(x)%PbSO4 glasses are presented in Fig. 1. From Fig. 1, it is shown that the XRD patterns are detected in the 2θ range from 10° to 60°, with broad humps are shown in all samples round 2θ ≈ 28°. The presented XRD graphs approve the general amorphous nature and provide a conventional degree of the homogeneity of all the studied glasses. Also, it is noted that there is slightly continuous decreasing of the intensity of the humps on the XRD spectra with increasing of the mol % of PbSO4. This decrease of the intensity of the humps may come from the shielding property of the Pb ions and their rule of stopping the X-rays [6].

Fig. 1.
figure 1

XRD patterns for the (100 – x)B2O3xPbSO4 glasses.

Density (ρ) and Molar Volume (Vm)

Figure 2 presents the density (ρ) values as a function of lead sulfate content. It is shown that the ρ values increases from 2.05 to 4.92 g/cm3 with increasing the PbSO4 in the glasses. These increases in ρ values can be attributed to the contentious exchanging of the two B atoms (10.81 g/mol) by the heavier Pb atom (207.2 g/mol) and sulfur atom (32.06 g/mol). This is also leads to the gradual formation of somehow compact structure with increasing the PbSO4 content on the expense of the mol % B2O3 in the glasses.

Fig. 2.
figure 2

Density and molar volume values as a function of the mol % of PbSO4.

On the other hand, the calculated molar volume (Vm) values are depicted also in Fig. 2 as a function of mol % PbSO4. The value of Vm is found to increase from 34 to 35.36 cm3/mol as the PbSO4 is just introduced to the matrix. It is suggested that the introduced Pb2+ ions and/or [SO4]2– groups act to contribute to the glass network, which in turn may increase or widen the vacancies inside glass matrix [2, 3, 9]. More addition of the mol % PbSO4 up to 20% is found to decrease the values of the Vm. This is may be due to the more additions of the Pb ions tend to fill the empty spaces within the glass network, and hence slightly close the glass matrix. The more increase of the mol % PbSO4 in the glass matrix beyond 20% is found to increase the Vm values again. At higher lead sulfate content glasses, the increase of the ratio (sulfer oxide/boron oxide) assists the formation of some non-bridging oxygen, which acted in turn to increase the volume occupied by a sample [30].

The O-ion density (NO-ion) can also be computed using the following formula [31]:

$$\begin{gathered} {{N}_{{{\text{O - ion}}}}} = {{\rho }}{{N}_{{\text{A}}}}\left[ {3\left( {{{W}_{{{{{\text{B}}}_{2}}{{{\text{O}}}_{3}}}}}{\text{/}}{{M}_{{{\text{W(}}{{{\text{B}}}_{{\text{2}}}}{{{\text{O}}}_{{\text{3}}}}{\text{)}}}}}} \right)} \right. \\ \left. { + \,\,4\left( {{{W}_{{{\text{PbS}}{{{\text{O}}}_{{\text{4}}}}}}}{\text{/}}{{M}_{{{\text{W(PbS}}{{{\text{O}}}_{{\text{4}}}}{\text{)}}}}}} \right)} \right], \\ \end{gathered} $$
(1)

where \(W\) is the weight fraction, \({{M}_{{\text{W}}}}\) is the molar weight of each oxide in a given sample and NA is the Avogadro’s number. The NO-ion values are represented in Table 1. The NO-ion values are found to increase from 5.3 × 1022 to 9.2 × 1022 cm–3 with the increase of mol % PbSO4. The observed gradually increase of the NO-ion may be due to the gradual increase of the oxygen ions, where every three O-ions from B2O3 are substituted by four O-ions from the PbSO4. As a conclusion, the observed continuous increase of the NO-ion values lead to understand that, as the mol % PbSO4 increases; the glass network is more unlocked. On the other hand, the Pb-ion density (NPb-ions), can be calculated using the following equation [32]:

$${{N}_{{{\text{Pb - ions}}}}} = \left[ {\left( {{{\rho W{{t}_{{{\text{PbS}}{{{\text{O}}}_{{\text{4}}}}}}}} \mathord{\left/ {\vphantom {{\rho W{{t}_{{{\text{PbS}}{{{\text{O}}}_{{\text{4}}}}}}}} {{{M}_{{{\text{W(PbS}}{{{\text{O}}}_{{\text{4}}}}{\text{)}}}}}}}} \right. \kern-0em} {{{M}_{{{\text{W(PbS}}{{{\text{O}}}_{{\text{4}}}}{\text{)}}}}}}}} \right){{N}_{{\text{A}}}}} \right],$$
(2)

where \(W{{t}_{{{\text{PbS}}{{{\text{O}}}_{{\text{4}}}}}}}\) is the weight ratio of PbSO4. The NPb-ions in the glass matrix is found to increase from 5.2 × 1020 to 3.9 × 1021 cm–3 (see Table 1). This may indicate that there is a gradual change in the glass structure due to a gradual increase of the PbSO4. In addition, the mean spaces between the Pb-ions (R) is computed by Eq. (3) [32] and tabulated in Table 1:

$$R = {{\left( {\frac{1}{{{{N}_{{{\text{Pb - ions}}}}}}}} \right)}^{{1/3}}}.$$
(3)

From Table 1, R is found to continue decrease from 124 to 63 nm for the PbSO4 containing samples. This may suggest that, the jumping electrons/polarons become able to move easily between different oxidation states offered by Pb-ions and B-ions. These results may conclude that: as the PbSO4 is gradually increased in the samples, the glass network becomes more closed due to the following reasons: the gradual increase of the O-ions with increasing the PbSO4 content on the expense of B2O3, the excessive tendency of formation of S2– ions and [SO4]2– groups during the cooling of glass melts [2, 9], where [SO4]2– groups should be the major species in the oxidized melts and hence governor the sulfur mobility. Besides, the stronger the oxidizing circumstances throughout the glass melt stage the lower the concentration of S2– cations to be expected, which determines the sulfur transport in the matrix. This means that the sulfur ions have very limited function in the conduction mechanisms, the housing of the Pb2+ ions (ionic radii = 119 pm) mainly in the gap positions inside the glass network. Furthermore, the Pb-ions is strongly suggested to share in the Pb rich samples in the glass network as a glass former and halt some of the B–O–B linkages and form some non-bridging oxygens [3, 9].

For these reasons, [SO4]2– groups are supposed to substitute the glass forming BO3 groups to introduce in the glass matrix as a former. Accordingly, this makes the jumping electrons/polarons become able to move easily between Pb and B ions.

dc Conductivity, σdc

Figure 3 addresses the temperature dependent dc conductivity, σdc, for all of the examined glasses. In general, the σdc values are discovered to increase from 1.5 × 10–11 Ω–1 cm–1 to 8.2 × 10–6 Ω–1 cm–1 with increasing the temperature. The obtained data show a straight line relation for all of the measured samples. These straight lines recommend that the conductivity is a result of thermally activated transition, which can be depicted by the ordinary Arrhenius relation [3335]:

$${{\sigma }_{{{\text{dc}}}}} = {{\sigma }_{{\text{o}}}}\exp \left( { - \frac{{\Delta E}}{{kT}}} \right),$$
(4)

where σo is a constant, ΔE is the activation energy and k is the Boltzmann constant. A feeble deviation from linearity is distinguished in the low temperature area for the glasses with larger than 20 mol % PbSO4. ΔE are determined and introduced in Fig. 4 as a function of the mol % PbSO4. The most extreme activation energy is found to belongs to the PbS0 glass and reduce constantly with growing the mol % PbSO4. Additionally, the compositional reliance of σdc is shown in Fig. 4. The lowest value of the σdc is found to exhibit the PbSO glass. As the lead sulfate introduced to the glass matrix, σdc value is found to increase to the maximum. The further increment of the lead sulfate in the glass is found to decrease the σdc values in these glasses continuously. The compositional reliance of the ΔE and σdc magnitudes can be discussed as follows:

Fig. 3.
figure 3

The dc conductivity as a function of temperature.

Fig. 4.
figure 4

The dc activation energy and conductivity as a function of the mol % PbSO4.

In the PbS0 sample, the noticed high ΔE and low σdc magnitudes may come from the way that incredibly all the boron molecules are restricted to form the glass network. Thus, the valence electrons require enormous ΔE to break the bonds and move to the conduction state. As the PbSO4 is added to the glass; σdc increased strongly to its most elevated worth and ΔE is decreased. This is might be a direct result of the role of [SO4]2– groups, S2– ions and Pb+2 which are discussed in detail previously. Furthermore, the continuous increase of the mol % PbSO4 more than 10% on the expense of the mol % B2O3 is found to decrease the molar volume of the glass, which means that the vacancies in the glass are become closer. This may reduce the hopping distance, as well as reduce the number of hopping electrons, which in turn reduces the values for both ΔE and σdc.

The deviation from linearity that is detected in the samples with more than 20 mol % PbSO4 in the low temperature region, suggests the weak contribution of another conduction mechanism (ionic or polaronic) beside the dominant electronic mechanism. The new mechanism may come from the possibility of the formation of some S–2 anions in the network vacancies, as well as the development of bonds such as Pb–S in the glass matrix [36]. This mixed mechanism may be an additional cause for the continuous decreasing in both the σdc and the ΔE with the continuous increase of the mol % PbSO4 in the samples.

ac Conductivity, σac

The measured ac conductivity, σac, at four fixed frequencies has been plotted against the temperature in Fig. 5 for the PbS0 sample. In the low temperature region, σac is found almost independent of temperature but large frequency dependence. High temperatures rapidly increase the σac, and push it towards the higher frequency with negligible frequency dependence. Similar behavior is qualitatively obtained for all other glasses. The values of the exponent s are determined from the experimental data applying the equation \(s = {{d\ln ({{{{\sigma }}}_{{{\text{ac}}}}})} \mathord{\left/ {\vphantom {{d\ln ({{{{\sigma }}}_{{{\text{ac}}}}})} {d\ln ({{\omega }})}}} \right. \kern-0em} {d\ln ({{\omega }})}}\) for all the investigated samples.

Fig. 5.
figure 5

The ac conductivity as a function of the temperature.

A significant documentation is noticed for all of the samples except the samples that contain 30 and 40 mol % PbSO4. A distortion in the curves is seen lower than 400 K, see Fig. 5. It is seen additionally that this deformation reduces with growing the mol % PbSO4 content in the glasses. Whereas the B2O3 glasses are famous hydrous materials [3740], the conductivity deformation in the boron rich glasses should arise from the anode polarization impact [41] and the vibration of the OH and water groups [42]. As the temperature increases over 400 K, a traditional σac curves is obtained.

Application of percolation path approximation (PPA) model. The percolation path approximation (PPA) model is planned to be the first mechanism to examine the experimental data. According to this model [43], the hopping of the charge carriers is thermally activated and does not confined to pair of localized sites, and the activation energies are varies randomly. Supposing P(E) to be the local activation energy probability distribution, then the dc activation energy is the highest value. The dc and ac currents are supposed according to the PPA to move in the easiest paths between the electrodes. The conductivity is given by [44]:

$$\frac{{{{\sigma }_{{{\text{ac}}}}}}}{{{{\sigma }_{{{\text{dc}}}}}}} = \frac{{\omega \tau ~\arctan \left( {\omega \tau } \right)}}{{{{{\left[ {\ln \sqrt {1 + {{{(\omega \tau )}}^{2}}} } \right]}}^{2}} + {{{\left[ {\arctan \left( {\omega \tau } \right)} \right]}}^{2}}}},$$
(5)

where, τ is the relaxation time:

$$\tau = \frac{{{{\varepsilon }_{\infty }}}}{{{{{{\sigma }}}_{{{\text{dc}}}}}}},$$
(6)

and, σdc is given by:

$${{\sigma }_{{{\text{dc}}}}} = {{\sigma }_{0}}~\exp \left( { - \frac{{{{E}_{{\text{c}}}}}}{{kT}}} \right),$$
(7)

Ec is the percolation activation energy and is given by:

$$\mathop \smallint \limits_{ - {{E}_{{\text{c}}}}}^{ + {{E}_{{\text{c}}}}} P\left( E \right)dE = {{P}_{{\text{c}}}},$$
(8)

where (Pc) is the percolation threshold [about 0.249 in the 3D].

Figure 6 represents the relation between log (σacdc) and log(ωτ) for the sample PbS2 (data points), as an example. The solid curves represent the theoretical fitting according to Eq. (5). Good agreement between both the experimental data and the theoretical calculations are obtained for all the samples. The inset in Fig. 6 shows the variation of s with T, and the mathematical fitting of s with T predicted from the following relation [7]:

$$s = \beta - \frac{T}{{{{T}_{0}}}},$$
(9)

where β is a parameter has value between 1 and 2, also T0 is a parameter when multiplied with Boltzmann constant kB gives an energetic look parameter, its value is considered as a measure of the disorderly level in a solid. For the present system, β is found to be ≈ 1.4–1.8 for all the glasses and (kBT0) is found to be between 34.3 and 42.3 meV for all the glasses. In case of B2O3·Pb3O4·Fe2O3·Na2O glasses [7], β = 2 and (kBT0) = 26–43 meV; while in case of a-H:Si [1], β = 1 and (kBT0) = 37.1 meV.

Fig. 6.
figure 6

PPT fitting to the conductivity and its corresponding exponent factor (s).

Application of Correlated Barrier Hopping (CBH) model. The other mechanism suggested to examine the investigational data, is the CBH model. As indicated by this model, the conduction happens through hopping of bipolaron (for example two electrons or polarons jump between charged imperfections D+ and D) over an excited defect states between the different localized states of the present TM-ions. The value of σac according the CBH in the forbidden band gab is given by the equation [27]:

$${{{{\sigma }}}_{{{\text{ac}}}}} = \frac{{{{{{\pi }}}^{3}}}}{{24}}{{N}^{2}}{{\varepsilon }}{{{{\varepsilon }}}_{{\text{0}}}}{{\omega }}R_{\omega }^{6},$$
(10)

where, \(N\) is the concentration of pair sites, ε is the dielectric constant, ε0 is the permittivity of free space and Rω is the jumping distance at frequency ω,

(11)

where, e is the electron charge, τ0 is a constant characteristic relaxation time and Wm is the maximum barrier height.

Finally, the frequency exponent s is computed by using the formula [45]:

(12)

The fitting of σac and s using equations (10)–(12) present a good agreement for the experimental data. The fittings curves are involved in Fig. 7, for the sample PbS4 as an example. From Fig. 7, the CBH fitting of the σac seems to be equitable over the whole temperature range. A comparable fitting is attained for all other glasses, representing that the CBH model can also define the conduction mechanism. A reasonable fitting to the exponent s is displayed inside in Fig. 7 for samples PbS0, PbS1 and PbS4 as examples. This fitting approves the applicability of the CBH model for the examined glasses. N, τo, Wm are some significant parameters gotten from the CBH calculations; they are arranged in Table 1. All the calculated values for N, τo and Wm are established to rise with rising of the mol % PbSO4 in the glasses.

Fig. 7.
figure 7

CBH fitting to the conductivity and its corresponding exponent factor (s).

Dielectric Properties

Figures 8 and 9 show the dielectric constant, ε'(ω), and the dielectric loss, ε''(ω), individually, for the glass PbS3 as a function of the temperature. Weak frequency dependence and very nearly temperature independent are seen in the ε'(ω) and ε''(ω) curves below 400 K for the dielectric constant and 450 K for the dielectric loss. Over 400 K, a remarkable temperature and frequency dependence are noticed for both ε'(ω) and ε''(ω). Comparable values with subjectively slight contrasts are recorded for all of the other glasses. ε'(ω) noticed for the studied glass samples is generally higher than those noticed for some other regular glasses [46, 47]. It is important to state that, at low frequencies and high temperatures, electrode polarization may have critical effect to the ε'(ω). Nonetheless, ε'(ω) is established to be independent of the thickness of the samples and the electrode area at all frequency and temperature ranges. This demonstrates that the mass impact and the electrode polarization have little effects to the dielectric properties. This shows clearly the impact of the polarizability of lead particles on the dielectric properties of the considered glass samples.

Fig. 8.
figure 8

Temperature dependence of the dielectric constant.

Fig. 9.
figure 9

Temperature dependence of the dielectric loss.

To get more information about the considered glasses, real and imaginary dielectrics for the PbS5 sample are presented in Figs. 10 and 11, individually, as data points. The solid curves signify the attained fitting relating the Cole–Cole equations [48]:

(13)

and

(14)

where εo and εұ are the lowest and highest frequency dielectric constants, τd is the dielectric relaxation time, α is an empirical factor having values 0 ≤ α ≤ 1. A magnitude of α = zero belongs to the Debye type relaxation [49]. The investigated ε'(ω) and ε''(ω) data are fitted effectively to the Eqs. (13) and (14). The value of α is fluctuated to get the best fits. M. Sayer and A. Mansingh [50] stated that the low magnitudes of α > 0.3 reflects a limited dispersion of relaxation times. The obtained α values for the current glasses show a variety in the range between 0.13 and 0.55, which implies that these glasses display an enormous range of relaxation times. Comparable values of α 0.42–0.58 are recorded for the B2O3·CdSO4 glasses [10].

Fig. 10.
figure 10

Frequency dependence of the dielectric constant, solid curves represents the fitting according to Cole–Cole equation.

Fig. 11.
figure 11

Frequency dependence of the dielectric loss, solid curves represents the fitting according to Cole–Cole equation.

SUMMARY

A set of glasses of the composition (100 – x)B2O3xPbSO4 [0 ≤ x ≤ 40] are prepared by the press-quenching method for the glass melts. XRD analysis proved the complete amorphous nature of the glasses with no evidence for the presence of any crystallite peaks. Bulk density and O-ion density are found to increase with increasing the mol % PbSO4 in the glasses, while the Vm values showed some variation with increasing the mol % PbSO4. [SO4]2– groups are proved to replace the BO3 groups in the glass matrix, this in enables the jumping electrons/polarons become able to move easily between Pb and B ions. The dc and ac conductivities are investigated in the temperature range 303–673 K. The dc conduction mechanism is found to follow the Arrhenius equation with activation energies between 0.44 and 0.76 eV. The ac conductivity for all the glasses was found to increase from 1.1 × 10–7 to 1.2 × 10–4 S cm–1 in the measuring frequency range. The moisture was found to great affect the ac conductivity results in the low temperature region because of the vibration of OH molecules. The ac conductivity shows good fittings to the PPT model as well as to the CBH model. All the calculated values for N, τo and Wm are found to increase with increasing the mol % PbSO4 in the glasses. Finally, the dielectric constant and the dielectric loss are measured and discussed as a function of the temperature. The experimental ε′(ω) and ε″(ω) data are fitted to the Cole–Cole relations with a large distribution of relaxation times (α 0.13–0.55).