3.1 Adsorption densities.
The adsorption studies conducted in this paper yielded significant insights into the interaction between depressants and the talc surface. Fig. 2 visually presents CMC, CTG, and LBG adsorption densities on the talc surface, plotted against equilibrium concentration. The results showed that the alkaline gelatinised CTG and LBG depressants exhibited higher adsorption densities than CMC across all tested dosages. Interestingly, a key observation was that CMC displayed negligible adsorption on the talc surface until its concentration reached approximately 35 mg/l. This phenomenon can be attributed to the characteristic adsorption behaviour of polymeric depressants. Typically, these depressants initially adsorb onto the basal cleavage planes of talc and then progressively extend to cover the mineral surface until a monolayer is formed. Subsequently, the adsorption process continues onto the edges of the mineral sheet. This stepwise adsorption process increases coverage on the basal plane, which is influenced by the polymer solution concentration. This mechanism aligns with findings from previous studies. Wang and Somasundaran (2005) elucidated the initial adsorption on basal cleavage planes and subsequent edge adsorption for polymeric depressants. The research by Beaussart et al. (2010) further supported this concept by highlighting that the concentration of the polymer solution influences the extent of coverage on the basal plane.
Bicak et al. (2007) compared guar gum and CMC as talc depressants. Their study found that guar gum was effective at lower dosages than CMC. This difference in effectiveness led to the hypothesis that other galactomannans, such as CTG and LBG, might exhibit higher adsorption densities than CMC when used as depressants. However, native CTG and LBG are insoluble in cold water. Thus, they had to be alkaline gelatinised first. CTG and LBG were chosen because they share structural similarities with guar gum and their gelling properties. The experimental results supported this hypothesis, as CTG (5.8 mg/m2) and LBG (4.6 mg/m2) yielded higher adsorption densities on the talc surface than CMC (3.5 mg/m2) (Fig. 2).
One factor affecting polymer adsorption is its molecular weight. This phenomenon was investigated by Beaussart et al. (2010), who found that higher molecular weight depressants resulted in decreased adsorption onto talc surfaces. Contrary to their findings, the present study revealed a different trend when using galactomannans. This discrepancy was attributed to the distinct chemistry between CMC and galactomannans, indicating that the behaviour observed with CMC might not directly apply to galactomannans.
The chemistry of the polymer also plays a significant role in its adsorption behaviour, as highlighted by both Beaussart et al. (2010) and Khraisheh et al. (2005). However, Khraisheh et al.(2005) study focused on CMC's molecular weight; therefore, given the different chemistry of galactomannans, their findings might not fully apply. This emphasises the importance of considering the specific characteristics of each polymer. The results of the present study demonstrated that the effect of polymer chemistry was more pronounced than the effect of polymer molecular weight. This conclusion was supported by the notable differences in adsorption density between CTG and CMC, even though their molecular weights were comparable at around 300 and 200 kDa, respectively. For CMC, higher ionic strength would be needed for talc to overcome both the inter and intramolecular electrostatic repulsion between the CMC chains that hinder the formation of a dense CMC layer, ultimately affecting its adsorption capacity (Beaussart et al., 2010).
3.2 Zeta Potential
Flotation reagent adsorption plays a crucial role in altering the charge properties of mineral surfaces when they interact with solution interfaces. Zeta potential measurements are a valuable tool for assessing such alterations, allowing researchers to gain insights into changes in the electrical properties of the mineral surface due to adsorption (Zhang et al., 2021). This aspect becomes particularly relevant in flotation, where the isoelectric point (IEP) of minerals serves as a significant variable. Manipulating the surface charge of minerals through pH control enables fine-tuning their flotation behaviour (Alvarez-Silva et al., 2010). Zeta potential measurements were employed to investigate the changes in the electrical properties at the talc surface in the absence and presence of CMC, CTG and LBG. The results are demonstrated in Fig. 3. In the absence of the depressants, the zeta potential of talc was positive at a pH of 2 and negative in pH values above 2.5. The IEP value for talc in this study was ~2.2 (Fig. 3), which falls in the reported range of less than 3 (Alvarez-Silva et al., 2010; Bacchin et al., 2006; Pan et al., 2020). The zeta potential for talc increased with increasing pH until the maximum (-20 mV) was reached at pH 6, after which its zeta potential decreased with increasing pH (Fig. 3). These findings highlight the complex relationship between pH and surface charge, influencing the electrostatic interactions in flotation processes.
The differences in the adsorption behaviours of ionic CMC, nonionic CTG and LBG on the talc surface could result from their distinct metal ions' electron affinities in the mineral crystals. These electron affinities yield distinct adsorption performances on the talc surface (Morris et al., 2002; Shen et al., 2021). As a phyllosilicate mineral, talc possesses variable charges on its face and edge surfaces, influencing its isoelectric point (IEP) depending on the measurement location. According to Alvarez-Silva et al. (2015), anisotropic minerals, i.e. minerals with different charges on the edge and face, are believed to form aggregates like a house of cards under different conditions as it is not always clear where the adsorption occurs (Alvarez-Silva et al., 2010). The results, however, revealed that talc surfaces were negatively charged at all pH ranges (Fig. 3). These results were comparable to those reported in the literature by other researchers, such as Morris et al. 2002; Liu et al., 2006 and Pan et al., 2020.
Talc+CMC zeta potential was significantly affected by a change in pH. The zeta potentials were more negative at a pH lower than 6 and less negative at a pH above 6. The observed less negative at a pH above 6 with CMC-talc may be attributed to two reasons: firstly, a decrease in the electrostatic repulsion between the negatively charged edges of talc and the carboxyl groups of CMC; secondly, a shift in the CMC conformation to a coiled from an extended state at higher pH values (Morris et al., 2002; Liu et al., 2006). Interestingly, this pattern was not observed for Talc+CTG and Talc+LBG, as their zeta potentials remained relatively unaffected by pH changes. However, there was a discernible shift toward less negative zeta potentials with the addition of CTG and LBG, indicative of the presence of adsorbed polymers, as reported by Pan et al. (2020). Morris et al. 2002 also found that pH significantly influenced the zeta potential of the anionic polymers (CMC and PAM-A), while the nonionic PAM-N was unaffected.
Considering the context of PGM flotation, which occurs at pH 9 (Mhlanga et al., 2012), the zeta potential results at this pH level were particularly significant in this study. At pH 9, the zeta potential for Talc+ LBG and Talc+ CTG was -5.75 mV, while Talc+CMC was -15 mV (Table 2). These zeta potential values align with the observations from the adsorption and microflotation studies, indicating that LBG and CTG were more effective depressants for talc than CMC.
Table 2. Summary of the zeta potential results obtained at pH 9, talc only, talc + CMC, talc + CTG and Talc + LBG.
|
Zeta potential (mV)
|
Talc
|
-20
|
Talc + CMC
|
-15
|
Talc +CTG
|
-5.75
|
Talc + LBG
|
-5.75
|
3.3 Microflotation
The outcomes of talc microflotation obtained from the present study provide a significant basis for comparison and discussion concerning existing literature. The investigation revealed that in the absence of a depressant (referred to as the blank condition), the flotability of talc was measured at 89%, as indicated in (Table 3). This outcome suggests that the talc utilised in this study could be categorised as naturally floatable gangue. Cawood et al. (2005) achieved talc recovery of 64% in the absence of a depressant after 12 min microflotation. Although, their microflotation time was shorter than 25 min in the present study. They could have achieved higher recoveries if they floated for longer times based on the shape of the curve they achieved (Cawood et al., 2005). This comparison underscores the importance of considering flotation time when assessing the effectiveness of depressants.
Table 3. Summary of microflotation results obtained with CMC, CTG, and LBG
|
Recovery (%)
|
Depression
(%)
|
STDEV
|
STD ERROR
(%)
|
|
Blank
|
89
43
39
25
|
-
51
56
72
|
1,40
3,16
0,63
1,61
|
0,99
2,23
0,44
1,14
|
CMC
|
CTG
|
LBG
|
The concept of naturally floatable gangue minerals is important in mineral processing and flotation. These gangue minerals possess inherent characteristics that make them prone to attachment to air bubbles and subsequent flotation. The flotability observed in the blank condition underscores the need to employ effective depressants to selectively inhibit talc flotation. Identifying talc as naturally floatable gangue aligns with the broader understanding of mineral flotation. It emphasises the need for appropriate control strategies and reagents to ensure successful mineral separation in flotation circuits. Characterising talc flotability in the absence of depressants is a critical step toward designing effective flotation strategies for mineral processing operations.
The results further showed that all three depressants could depress talc, as illustrated by reduced talc flotability with their addition. The percentage of talc depression achieved decreased in the order LBG > CTG > CMC, and their values were 72%, 56%, and 51%, respectively (Fig. 4). CTG and LBG are complex polysaccharides. Their chemical structures are strictly hydroxyl groups. Therefore, to facilitate talc depression, the hydroxyl groups on CTG and LBG adsorbed onto the talc surface through the hydrophobic backbone. However, structurally, CMC adsorption may occur through carboxymethyl and hydroxyl groups. Thus, it may result in different adsorption and talc depression (Bicak et al., 2007). This phenomenon has been documented in previous research, with studies by Morris et al. (2002) and Shen et al. (2021) highlighting the influence of metal ions' electron affinities on adsorption behaviours.
3.4 Bench flotation
The section compares the performance of CMC, CTG, and LBG depressants on Platreef ore in terms of their ability to prevent talc from floating. To this end, talc recovery to tailings (Table 4) and talc recovery versus concentrate mass pulls were evaluated (Fig. 5 to Fig. 7). CMC can adsorb via carboxymethyl and hydroxyl groups in their structure (Bicak et al., 2007). Therefore, the presence of both neutral, hydrophobic, and charged, hydrophilic surfaces on talc, combined with the condition of the surface charge and surface metal hydroxylation, may result in different adsorption and different talc depression performance with CMC in mineral flotation (Fig. 3). The prominent accepted hypothesis is that CMC selectively adsorbs onto the talc planes firstly through hydrophobic bonding forces (Shortridge et al., 2000) and then moves onto the edges (Khraisheh., 2005).
Table 4. Summary of bench flotation results
|
Mass Pull
(%)
|
Talc Recovery
%
|
Talc Grade
(%)
|
Talc Depression
(%)
|
CMC 25 g/t
|
13
|
16
|
10
|
84
|
CMC 50 g/t
|
14
|
15
|
10
|
85
|
CMC 100 g/t
|
13
|
15
|
11
|
85
|
CTG 25 g/t
|
14
|
17
|
11
|
83
|
CTG 50 g/t
|
14
|
18
|
12
|
82
|
CTG 100 g/t
|
14
|
16
|
11
|
84
|
LBG 25 g/t
|
15
|
18
|
11
|
82
|
LBG 50 g/t
|
14
|
14
|
11
|
86
|
LBG 100 g/t
|
14
|
13
|
10
|
87
|
The main difference between CMC, CTG, and LBG is that CMC can adsorb via carboxymethyl and hydroxyl groups in their structure (Bicak et al., 2007). On the contrary, both CTG and LBG adsorb through the hydroxyl group. Therefore, these differences in adsorbing groups govern how effectively each class of polymer interacts with a different gangue mineral. This follows that CMC is attached to the talc surface via a plane two-dimensional confirmation, whereas the CTG and LBG adsorption is through three-dimensional conformation. Therefore, the observed slightly higher talc depression of talc with LBG, especially at 100 g/t, is due to the improved adsorption of LBG onto the talc surface (Table 4). Thus, the adsorbed layer of LBG strongly shielded the talc surface from air bubbles.
Fig. 5 depicts recovery versus concentrate mass pull for CMC, CTG, and LBG at 25 g/t. The data showed that talc recovery was similar for both CMC and CTG at ~16% and was slightly lower than ~18% yielded by LBG (Fig. 5).
Fig. 6 depicts talc recovery versus concentrate mass pull for CMC, CTG, and LBG at 50 g/t. The data revealed that talc recovery decreased in the order CTG > CMC > LBG; their values were ~18%, ~15%, and ~14%, respectively.
Fig. 7 depicts talc recovery versus concentrate mass pull for CMC, CTG, and LBG at 100 g/t. The data revealed that talc recovery decreased in the order CTG > CMC > LBG; their values were ~16%, ~15%, and ~13%, respectively.
Thermodynamically, high molecular weight polymers selectively attach on the surface of the mineral because they lose little translational entropy in the solution while gaining almost the same cumulative adsorption energy. Therefore, a low molecular weight polymer will be effective at low dosages, where the surface is unsaturated. However, a high molecular weight polymer will be more effective at high dosages as there is enough to cover the surface (Fleer et al., 1993). CTG has a lower molecular weight than LBG. Thus, effective mineral surface covering can be accomplished with less LBG than CTG at higher dosages. The results in this study agreed with thermodynamic theory because at 25 g/t CTG (~16%) recovered slightly less talc than LBG (~18%) (Fig. 5), and at higher dosages (100 g/t), LGB (~13%) yield a marginally lower talc recovery than CTG (~16%) (Fig. 7). Furthermore, comparable talc recovery between CTG and LBG was attained at intermediate dosage (50 g/t) (Fig. 6). Generally, increasing the molecular weight of galactomannans depressant increased adsorption onto the talc surface. With a higher molecular weight of LBG, there would be higher hydrophobicity and, consequently, greater hydrophobic bonding forces between the LBG and the talc surfaces than with CTG (Fig. 3).
Higher molecular weight polymers have strong hydrophobicity. Consequently, stronger hydrophobic bonding forces would be between the talc surface and the high molecular weight polymer (Rath et al., 1997). The slightly higher talc depression with LBG than CTG (Table 4) is hypothesised to be due to a thicker adsorbed layer and higher adsorption density (Fig. 3) resulting from the extension of the tails with increasing concentration (Shortridge et al., 2000).
The linear relationship between talc recovery and concentrate mass pull shows that all three depressants at all three dosages tested were selective against talc (Fig. 5; Fig. 6; Fig. 7). Consequently, talc was presumably recovered predominately through mechanical processes, i.e., physical entrapment and hydraulic entrainment, rather than flotation.
3.5 Bench flotation statistical analysis
Analysis of Variance (ANOVA) was utilised to evaluate the statistical significance of the effects of changing parameters relative to the inherent experimental error. To this end, Microsoft Excel data analysis add-in was used to compute the mean square (MS), variance, P-values and degrees of freedom (df). Thus, the significance of the effect of each parameter on bench flotation performance was determined by looking at the P-values. In the minerals beneficiation, effects with P ≥ 0.10 are generally considered 'not significant', indicating the observations are likely due to random chance rather than a meaningful relationship. Conversely, effects with P ≤ 0.05 are considered 'significant', suggesting a strong possibility that the results are due to the effects investigated (Bradshaw, 1997). In this study, effects with P ≤ 0.01 were regarded as highly significant and denoted by (***), P of 0.05 ≥ 0.01 signifies significant and denoted by (**), P of 0.1 ≥ 0.05 (*) implied a slightly significant and (~) denotes not significant effects (P ≥ 0.10). The results showed that the talc recovery differences observed in this study were highly significant, as illustrated by a P-value of 0.007 (Table 5).
Table 5. Summary of a single factor ANOVA of talc recovery
Groups
|
Count
|
Sum
|
Average
|
Variance
|
|
|
CMC 25 g/t
|
2
|
31.27
|
15.64
|
1.2641
|
|
|
CMC 50 g/t
|
2
|
29.94
|
14.97
|
0.0032
|
|
|
CMC 100 g/t
|
2
|
29.35
|
14.68
|
0.0113
|
|
|
CTG 25 g/t
|
2
|
33.86
|
16.93
|
1.2168
|
|
|
CTG 50 g/t
|
2
|
36.96
|
18.48
|
1.1250
|
|
|
CTG 100 g/t
|
2
|
31.86
|
15.93
|
5.4450
|
|
|
LBG 25 g/t
|
2
|
35.44
|
17,72
|
0.2592
|
|
|
LBG 50 g/t
|
2
|
27.59
|
13.80
|
0.1201
|
|
|
LBG 100 g/t
|
2
|
26.26
|
13.13
|
0.0200
|
|
|
|
|
|
|
|
|
|
ANOVA
|
|
|
|
|
|
|
Source of Variation
|
SS
|
df
|
MS
|
F
|
P-value
|
F crit
|
Between Groups
|
50.39228
|
8
|
6.299035
|
5.989858
|
0.007347~
|
3.229583
|
Within Groups
|
9.46455
|
9
|
1.051617
|
|
|
|