1. Introduction
Water contamination by toxic chemicals is a major global environmental concern. The intensive use of organic chemicals and medicines driven by industrial demand, population growth, and agricultural expansion has led to the mass pollution of aquatic systems world over. A combination of both priority and emerging pollutants are detected at variant concentrations in water bodies [
1]. This has led to the development of several treatment technologies capable of remediating these toxic compounds from aquatic environments. Textile effluents are regarded as one of the major water polluters. They typically consist of mixtures of dyes, sulphur, nitrates, soaps, naphthol, acetate acid, chromium, and other heavy metals such as mercury, copper, cobalt, arsenic, nickel [
2]. Some of these chemicals have mutagenic properties and tend to bioaccumulate resulting in adverse effects to plant, animal and human life [
3]. Generally, dyes make up the largest component of the organic contaminants in industrial effluents. It has been reported that approximately 20 % of these effluents consist of synthetic dyes such as rhodamine B, methyl red, Congo red, methylene blue, are lost in the dyeing processing steps and discharged into water bodies without further treatment [
4].
Rhodamine B (RhB) is a cationic xanthene dye that carries an acidic non-esterified phenyl-carboxylic group [
5]. RhB dye is widely used in textiles, paper, food and printing industries as a pigment due to its incredible fluorescence pigment which is highly soluble in water and cost effective [
6]. It is however characterised by a non-biodegradable complex chemical structure that is stable to heat and light [
7]. RhB dye is a known neurotoxin and carcinogen, which also causes respiratory diseases such as infection, pneumonia, asthma, lung cancer etc [
8]. It is therefore necessary to reduce the undesirable effects that these dyes pose. Various water treatment technologies have been employed to wastewater effluent such as ion exchange, chemical precipitation, adsorption and membrane separation [
7]. However, their application is limited by problems such as the recalcitrant nature of the target pollutants and generation of secondary waste [
9].
Advanced Oxidation Processes (AOPs) such as sonolysis, ozonation, Fenton process, photolysis and photocatalysis have shown good potential in degrading and mineralising refractory toxic organic pollutants [
10]. These AOPs typically function by producing highly reactive, fast-acting, non-selective free radicals which attack the target organic pollutants to form intermediate products or benign H
2O and CO
2 [
11]. Photocatalysis is one of the most researched AOPs due to its high degradation efficiency, continuously evolving nature and it being regarded as a green, sustainable water treatment technology [
8]. However, the application of common semiconductor photocatalysts such as TiO
2 and ZnO are limited by their wide bandgap energy, which makes them active under UV light irradiation only [
12]. Other significant drawbacks include high recombination rate of the photogenerated electron and hole pairs (e
-/h
+) and poor chemical stability for recycling purposes [
13]. Bandgap engineering to tailor semiconductor materials for inhibition of recombination rate and visible-light activation is a new concept in photocatalytic applications [
14]. This involves various strategies such as metal doping and heterojunction formation of composite catalysts to enhance their photocatalytic activity under visible-light irradiation [
15]. This concept has proven to be effective in inhibiting e
-/h
+ pair recombination which in turn improves the photocatalytic activity of the material [
16]. Heterojunction based catalysts also promote and accelerate the migration of e
+/h
+ pairs resulting in a more efficient process. Typically, p-n heterojunction semiconductor systems are used in photocatalysis [
17]. The photons with energies equal to or higher than the semiconductor photocatalyst band gap energy create a built-in electric field within the space charge region which quickly separates the photoinduced e
-/h
+ pairs during irradiation. This electric field drives the transfer of electrons to the conduction band (C
B) of n-type and holes to the valence band (V
B) of p-type semiconductors. Some of the advantages of p-n type heterostructures include: (i) catalyst rapid charge transfer; (ii) effective charge separation; (iii) longer charge carriers lifetime; and (iv) separation of incompatible redox reactions [
18].
ZnS and CuS are notable examples of sulphur-based semiconductor photocatalysts due to their eco-friendliness, affordability, low toxicity, and exceptional photo-absorption capabilities [
19]. ZnS has a band gap energy of around 3.7 eV, which is relatively wide, and can only absorb about 4% of total sunlight in the UV range. Additionally, it exhibits rapid recombination rates of photoinduced charge carriers, which limits its practicality as a photocatalyst. On the other hand, although CuS has a narrow band gap of about 2.2 eV, but it is prone to photocorrosion. This drawback can be effectively resolved by coupling CuS with ZnS [
20]. This results in the formation of a p-n heterojunction photocatalyst with superior photoactivity under visible light irradiation[
21]. Mondal,
et al. [
21] reported the highly improved methylene blue removal by the coupling of binary p-n heterojunction CuS/ZnS photocatalyst unlike CuS and ZnS prepared via ion-exchange hydrothermal method. Another study by Sitinjak
, et al. [
22] demonstrated the dramatic enhancement of 4-aminophenol degradation under visible light by the binary CuS/ZnS composite (100 %), yet 64 % and 28 % degradation was reported for the individual constituent CuS and ZnS catalysts, respectively.
A binary p-n CuS/ZnS heterojunction photocatalyst was synthesised using a facile combustion method which was also applied in the synthesis of the constituent pristine CuS and ZnS nanocomposites. The structure, shape and optical properties of the as-prepared CuS/ZnS heterojunction were characterized. Furthermore, the photocatalytic activity of the catalysts was evaluated by degrading rhodamine B in aqueous media. A mechanistic photocatalytic degradation mechanism was also proposed.
4. Materials and Methods
4.1. Chemicals
Copper (II) nitrate trihydrate [Cu(NO3)2.3H2O] (CAS: 10031 – 43 – 3) and thiourea [(NH2)2CS] (Batch No: 51378) were purchased from Sigma-Aldrich (St Louis, MO, United States). Zinc (II) nitrate hexahydrate [Zn(NO3)2.6H2O] (CAS: 10196 – 18 – 6) was purchased from Glassworld (Johannesburg, South Africa). These served as precursors for the synthesis of the ZnS, CuS and CuS/ZnS nanocomposites. HPLC grade rhodamine B (CAS: 81 – 88 – 9) was purchased from Sigma-Aldrich while sodium hydroxide (NaOH, Batch No: SAAR5823200) and nitric acid (HNO3, Batch No:) used in pH adjustments were purchased from Glassworld. The scavenger tests were conducted using isopropyl alcohol (IPA, Batch No: 19/049) purchased from Glassworld, p – benzoquinone (pBZQ, Batch No: 1421039 55108019) purchased from Sigma – Aldrich, benzoic acid (BA, Batch No: 1983/008079/07), and EDTA – 2Na (Batch No: 83/08079/07) purchased from LabChem. All reagents were used without further purification. Deionised water (DI) produced by an Elga Purelab Chorus unit purifier.
4.2. Catalyst Synthesis
ZnS, CuS and CuS/ZnS (5 % CuS: 95 % ZnS) nanocomposites were synthesised using a novel and facile one-pot solid phase method. In this method, stoichiometric amounts of Zn(NO3)2.6H2O, (NH2)2CS and Cu(NO3)2.3H2O were weighed out into a crucible using the following ratios 4 : 1 : 0.2 before calcining the mixture at 400°C for 5 h. The resulting product was then ground using a pastel and mortar and sieved through a 25 µm mesh sieve to yield the final powdered photocatalyst. Pristine ZnS and CuS were synthesized in a similar fashion. Zinc (II) nitrate hexahydrate and thiourea where used to produce ZnS while copper (II) nitrate trihydrate and thiourea were mixed to form CuS.
4.3. Degradation Studies
The photocatalytic activity of the synthesised nanomaterials was investigated by dispensing predetermined amounts of CuS/ZnS in 100 mL of 5 ppm RhB dye solution. This suspension was continuously stirred in the dark form 30 min in order to attain adsorption-desorption equilibrium prior to 4 h visible light irradiation. 2 mL samples aliquots were withdrawn every 30 min and centrifuged. The resulting solution was passed through 0.45 µm simplepure filters before analysis. Control photolysis and adsorption tests were also conducted under the same conditions. Optimisation studies were conducted to determine optimum photodegradation conditions while varying CuS/ZnS loading (0 - 15 gL
-1), initial RhB dye concentration (5 - 100 ppm) and initial solution pH (1 - 13) which was adjusted using 0.1 M HNO
3 and 0.1 M NaOH. A WPA, LIGHT Wave, Labotech UV-vis spectrophotometer was used to analyse the change in RhB dye concentration at a characteristic wavelength of 554 nm using deionised water as a reference (blank). The achieved photodegradation percentage was determined using the following Equation (1);
where
is the initial rhodamine B concentration and
is rhodamine B concentration after irradiation time, t.
Furthermore, various scavenger tests were conducted to determine the most reactive oxidation species. This was performed through the addition of 5 mmolL-1 of benzoic acid (BA for e- CB), isopropyl alcohol (IPA for OH• radicals), ethelene diamino tetra acetylhydride-disodium (EDTA-2Na for h+ VB) and p-benzoquinone (p-BZQ for O2• radicals). Recyclability tests were conducted to investigate the stability of the binary CuS/ZnS. In these tests, a sample was withdrawn after each run for analysis whilst the remaining solution was centrifuged and decanted. The collected catalysts particles were dried at 50 oC overnight and then dispersed into a fresh RhB solution for another run.
4.4. Material Characterisation
X-ray diffraction (XRD) catalysts spectra was analysed using a PANalytical X’Pert Pro powder diffractometer in θ–θ configuration with an X’Celerator detector and variable divergence- and fixed receiving slits with Fe filtered Co-Kα radiation (λ=1.789Å). The samples mineralogy was determined by selecting the best–fitting pattern from the ICSD database to the measured diffraction pattern, using X’Pert Highscore plus software. The scanning electron microscopy (SEM) imaging were captured on a Zeiss Ultra PLUS FEG SEM using the Oxford instruments detector and Aztec 3.0 software SP1 while the high-resolution transmission electron microscope (HRTEM) images were captured using a JOEL TEM 2100F, 200kV analytical electron microscope. A Brunuaer-Emmett-Teller (BET) micrometrics Tristar II 3020 Version 3.02 system was used to determine the surface area and pore distribution of the photocatalysts. The samples were degassed overnight at 100°C prior to analysis. The optical properties of the synthesised nanomaterials were measured using a Hitachi U-3900 single monochromatic double-beam UV-vis system which uses UV-solutions software program.
Author Contributions
Conceptualization, R.M. and S.M.T.; methodology, R.M.; software, R.M.; validation, S.M.T.; formal analysis, R.M.; investigation, R.M.; resources, S.M.T. and E.M.N.C.; data curation, R.M.; writing—original draft preparation, R.M.; writing—review and editing, S.M.T. and E.O.I; visualization, R.M.; supervision, S.M.T. and E.M.N.C.; project administration, R.M.; funding acquisition, E.M.N.C. All authors have read and agreed to the published version of the manuscript.