Muhammad Ikram1, Muhammad Imran2, Shoukat Hayat3, Anum Shahzadi4, Ali Haider5, Sadia Naz6, Anwar Ul-Hamid7, Walid Nabgan8, Iqra Fazal3, Salamat Ali3. 1. Solar Cell Application Research Lab, Department of Physics, Government College University Lahore Lahore 54000 Punjab Pakistan dr.muhammadikram@gcu.edu.pk. 2. State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Centre for Soft Matter Science and Engineering, Beijing Engineering Center for Hierarchical Catalysts, Beijing University of Chemical Technology Beijing 100029 China. 3. Department of Physics, Riphah Institute of Computing and Applied Sciences (RICAS), Riphah International University 14 Ali Road Lahore Pakistan. 4. Faculty of Pharmacy, University of the Lahore Lahore Pakistan. 5. Department of Clinical Medicine and Surgery, University of Veterinary and Animal Sciences Lahore 54000 Punjab Pakistan. 6. Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences Tianjin 300308 China. 7. Core Research Facilities, King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia anwar@kfupm.edu.sa. 8. School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia wnabgan@gmail.com.
Today's technology driven society with a plethora of economic activities has resulted in rapidly increasing aquatic pollution that has emerged as a big challenge to scientists and researchers all over the world.[1,2] Moreover, the unwavering growth of multiple industries including textile, chemical, plastic and paper sectors releases toxic dyes into water bodies that can contaminate the whole environment and cause harm to plants, animals, and humans.[1] Diseases that afflict humanity including hepatitis, diarrhoea, cryptosporidiosis, encephalitis and leptospirosis as well as typhoid fever spread worldwide due to polluted water. Globally, the reported cases for hepatitis A stand at 1.4 million diagnosed annually with a mortality count of about 12 800 to 16 100.[3] Hazardous pollutants present in wastewater include both inorganic as well as organic heavy metals, harmful solvents and compounds, which need to be essentially decomposed to achieve a sustainable green environment.[4] Hence, pollutant removal from water has garnered much attention due to their alarming effects on human health and the environment.Multiple methods have been reported for removing contaminants such as dyes from industrial discharges including a membrane separation process,[5] coagulation,[6] adsorption,[7] photo-oxidation,[8] an electrochemical process,[9] an advanced oxidation process[10] and chemical oxidation.[11] Among all, photocatalysis based on a metal oxide semiconductor has gained the utmost attention for wastewater treatment.[11] Recently, metal oxides (MOs) such as SnO2, MnO2, TiO2, MgO, CeO2, Fe2O3 and CaO2 were used as the prime choice for photocatalysis due to their low cost, chemical inertness, chemical stability and nontoxicity, which make them effective for various applications such as water purification, hydrogen generation and sterilization.[4,12] Among all MOs, ZnO (n-type semiconductor) has received the most attention due to greater surface reactivity, excellent photosensitivity, low price and more importantly being friendly to the environment.[13-15] Upon exposing ZnO nanoparticles to UV light, the generation of hydroxyl radicals takes place. They are considered strong candidates for the oxidation process, which serves to degrade dye and organic contaminants present in wastewater. However, there could be some difficulties such as lower stability that might be attributed to the photo-corrosion phenomenon during light fall and stretched bandgap energy that permits mineralization under UV light.[13,16] Many ways are adopted to enhance the photocatalytic efficiency of ZnO through linking with an n-type semiconductor with suitable materials such as carbon materials, noble metals and lower bandgap semiconductors.Recently, molybdenum disulphide (MoS2), which has a structure similar to graphene containing S–Mo–S layers joined by van der Waals forces, appeared as one of the promising materials employed for photocatalysis. It exhibits chemical inertness, high conductivity and unique optical properties, which make it an ideal substance for a variety of applications (e.g., catalysis, phototransistors, and sensing).[13,17] Due to these properties, its semiconductor coupling can be undertaken with materials such as ZnO to produce heterojunctions that possibly can enhance photocatalytic effectiveness.[1] Cellulose (CNC) is one of the utmost utilized, naturally decomposable and renewable natural polysaccharide materials, frequently employed for polymer synthesis and as a stabilizing agent due to the abundance of hydroxyl groups that enable it to act as a stabilizing agent.[11,18] These hydroxyl groups in the CNC structure interact efficiently with metal ions, while inorganic NPs disperse uniformly on the CNC matrix and as a result improve metal NP reaction capability. Moreover, employing CNC as a substrate is promising for catalyst recovery, which exhibits high adsorption capability and boosts the process of catalytic degradation of pollutants.[19]In this work, ZnO, CNC, and ZnO-CNC with various concentrations of MoS2 (50 and 100 mg)-doped ZnO were synthesised successfully. The optical properties, structures and morphologies of all relevant samples were studied. This research aims to evaluate the influence of co-dopant (CNC/MoS2) concentration on the catalytic and antibacterial activity of MoS2/CNC-doped ZnO. Furthermore, molecular docking predictions of CNC-ZnO and MoS2/CNC-doped ZnO nanocomposites against the DHFR and DHPS enzymes of the folate biosynthetic pathway were performed to unveil their role as antibacterial agents.
Methods
The current study was aimed to synthesize MoS2 doped into a fixed amount of cellulose-doped ZnO nanorods through a co-precipitation route to investigate the catalytic activity and the efficacy of the antibacterial agent against antibiotic-resistant bacteria with molecular docking.
Materials and reagents
Sodium hydroxide (NaOH, 98%), zinc nitrate hexahydrate (Zn(NO3)2·6H2O, 99%), molybdenum disulphide (MoS2, 99.8%), microcrystalline cellulose (C6H10O5, 99.5%) and sulfuric acid (H2SO4) were acquired from Sigma Aldrich and Analar (USA).
Synthesis of cellulose nanocrystals
Using the hydrolysis method, avicel (10 g) was incorporated into H2SO4 and deionized water (DI water) solution (50%), to synthesize cellulose. Under continuous stirring, the solution was heated for 45 minutes at 70 °C. Afterwards in yellow brownish solution, 5000 mL of DI water was added to dilute H2SO4 and centrifuged at 7100 rpm for 6 minutes. The cycles of washing/centrifugation were repeated until the pH of the solution approached neutral using NaOH. The resulting solution was heated at 100 °C to acquire the solid content of cellulose nanocrystals (CNCs) (Fig. 1(a)).[20,21]
Fig. 1
(a) Sulfate groups present on the surface of cellulose are depicted in a schematic diagram. (b) Schematic presentation of the preparation and structure of MoS2/CNC-doped ZnO NTs.
Synthesis of MoS2/cellulose-doped ZnO NRs
In the current work, undoped ZnO and MoS2/CNC-doped ZnO NRs were prepared via a simple co-precipitation technique using Zn(NO3)·4H2O, deionized water, NaOH and MoS2. Firstly, Zn(NO3)2·4H2O (0.5 M) was dissolved in a 100 mL deionized water (DI water) under constant stirring to get the zincates. After that a fixed amount (2.5 mL) of as-prepared CNC was incorporated into the zincate solution. Secondly, different concentrations (50 and 100 mg) of MoS2 were added into the solution mixture and stirred continuously. Aqueous solution containing (0.5 M) NaOH was used to maintain the pH of zincate solution up to 12 under continuous stirring for 30 minutes at 80 °C. The zincate precipitate was separated via a centrifuge machine at 7100 rpm for 6 minutes, heated at 85 °C for 20 hours (h), and ground using a mortar and pestle to acquire fine powder. In the absence of doping products (CNC and MoS2), a similar procedure was adopted to synthesize pristine ZnO NRs (Fig. 1(b)).[22] Following samples (ZnO, CNC, CNC-doped ZnO and various different concentrations (50 and 100 mg) of MoS2 doped in ZnO-CNC named as ZCM1 and ZCM2 were prepared.
Isolation and characterization of bacteria
Lactating Caprine mastitic fluid was obtained from farms and several private clinics across Punjab, Pakistan, and cultured on 5% blood agar. After 24 hours of incubation at 37 °C,[23] the derived colonies were flicked in triplicates on Mannitol salt agar (MSA) and MacConkey agar (MA) to harvest pure Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) isolates. Refined colonies were verified by Gram staining for morphological assessment and biochemical testing (i.e. catalase and coagulase).[24]
Antibacterial activity
All samples were investigated for antimicrobial activities using the agar well diffusion method by swabbing 1.5 108 CFU mL−1 of S. aureus and E. coli on MA and MSA, respectively. Bacterial cultures were swabbed onto agar plates, and wells of 6 mm diameter were created using a sanitized borer.[23,24] Distinct amounts of ZnO, CNC, and MoS2/CNC-doped ZnO (0.5 and 1.0 mg/50 μL) were loaded into each well and sorted with Ciprofloxacin (0.005 mg/50 μL) and DI water (50 μL) as positive (+ve) and negative (−ve) standards, respectively. Antibacterial efficacy was determined by monitoring inhibitory zones in millimetres (mm) using a Vernier calliper after 24 hours of incubation of filled agar plates at 37 °C. A one-way variance analysis (ANOVA) was adapted to determine the antibacterial viability of the synthesised materials.[24,25]
Molecular docking studies
Molecular docking studies were employed to rationalize the mechanism governing the bactericidal activity of ZnO-CNC and ZnO-CNC-MoS2 nanocomposites. Recently, the role of metal-doped CNC nanocomposites as bactericidal agents has been reported. Identifying interactions responsible for their inhibition potency against essential enzyme targets is worthy of further exploration.[26] Here, we performed molecular docking studies of these nanocomposite systems against DHFR and DHPS enzymes belonging to the folate biosynthetic pathway of E. coli and S. aureus to unveil the mystery behind their biocidal potential.The crystal structure of enzymes were retrieved from the protein data bank with the accession code 2ANQ (Resolution: 2.13 Å)[27] for DHFR, 5U0W (Resolution: 1.97 Å) for DHPS,[28] and 4FGG (resolution: 2.30 Å) for DHFR.[29] The selected enzyme structures were prepared for docking predictions using the method reported in our previous studies.[30,31] Docking predictions were performed using ICM Molsoft software,[32] where basic steps involved the removal of the native ligand and water of crystallization followed by the addition of polar H atoms and energy minimization. The active pocket was defined within 10 Å of the co-crystalized ligand to specify the docking position of nanocomposites in the current study. The monomeric structure of ZnO-CNC and ZnO-CNC-MoS2 was prepared using the ligedit tool of ICM and top ranked docking conformations were selected for further analysis using Pymol software and ICM Molsoft visualizer.
Catalytic activity
The catalytic activity of ZnO and co-doped ZnO NRs was evaluated against methylene blue (MB) dye in the solution with a specific quantity of NaBH4 (400 μL and 800 μL). In the present study, a quartz cell was filled with 400 μL solution of NaBH4 and 3 mL aqueous methylene blue. Upon addition of NRs into the solution containing NaBH4 and MB, dye degradation was observed as depicted in Fig. 2.[20] In order to acquire absorption spectra at different intervals, UV-vis spectroscopy was employed at wavelengths ranging from 200 to 700 nm.
Fig. 2
Catalysis mechanisms of the prepared samples.
Characterization of samples
The structure and crystalline behavior of the produced powders were determined with XRD using a powder diffractometer (PAN Analytical X′ pert PRO type X-ray diffractometer) and monochromatic Cu-Kα radiation (λ = 1.5418 Å) at a scan rate of 5° min−1 in the 2θ° range of 5° to 80°. On an Excalibur 3100 spectrometer, FTIR spectroscopy was carried out within a spectral range of 4000–400 cm−1. A scanning electron microscope (SEM), JEOL JSM-6460LV and JEOL JEM-2100F high-resolution transmission electron microscopes (HR-TEM) were used to analyze the morphology, particle size and interlayer spacing. Using a UV-vis spectrophotometer (Genesys 10S) in the range of 180–400 nm, optical properties were investigated. Raman spectra with a laser wavelength of 532 nm (6 mW) were recorded with a Renishaw through a reflex confocal Raman microscope. The spectra of photoluminescence (PL) were recorded with a spectrofluorometer for the as-prepared and doped samples (JASCO, FP-8300).
Results and discussion
As shown in Fig. 3(a), XRD was conducted to acquire information about the crystal structure and phase constitution and calculate the crystallite size of ZnO nanorods (NRs), ZnO-CNC, (0.1) MoS2@CNC/ZnO (ZCM1) and (0.2) MoS2@CNC/ZnO (ZCM2). The pristine ZnO NRs exhibited peaks at 2θ° of 31.68°, 34.44°, 36.24°, 47.66°, 56.62°, 62.98° and 67.99°, which are compatible with (100), (002), (101), (102), (110), (103) and (112) crystal planes, respectively. These planes are well synchronized with JCPDS no. 36-1451 and confirm the formation of a hexagonal wurtzite structure.[33] ZnO crystal formation with an oriented (101) lattice plane is responsible for the highest peak at 2θ° = 36.24°. For the CNC plane, diffraction peaks at 13°, 19.5°, 22.4° and 34° are indexed to (101), (101), (002) and (112) planes revealing its monoclinic structure (JCPDS card no. 46-0905).[34] It can be seen that upon CNC doping in ZnO, no cellulose peak was detected in the XRD pattern. Two additional peaks for all prepared samples flexing at 2θ° = 29.4° and 39.04° represent the impurities of the zinc carboxyl-containing compound (marked by a blue arrow). These zinc traces could have formed as a result of the Zn precursor reacting with other reactants during the synthesis process.[35,36] The peaks emerging at 26.2° and ascribed to the (411) plane of hexagonal MoS2 well matched with JCPDS card no. (37-1492).[25] We also found that in MoS2 doped patterns, the intensity of diffraction peaks increased, which suggested an improved crystalline quality upon increasing the concentration of MoS2. The crystallite sizes of NRs were calculated from the XRD pattern using the Scherrer formula. The computed crystallite sizes are 26.2, 10.17, 23.9, 42.6 and 48.5 for ZnO, CNC, ZnO-CNC, ZCM1 and ZCM2, respectively. As can be seen upon doping of CNC into ZnO the crystallite size decreased, which might be due to the replacement of the CNC element for the ZnO element, while upon incorporation of MoS2 into ZnO, the crystallite size increased. Furthermore, FTIR spectroscopy was conducted for the identification of possible functional groups present on the synthesised samples and corresponding results are shown in Fig. 3(b).The absorption peak located at ∼3369 cm−1 ascribed to the stretching vibration of OH was influenced by the moisture content in air.[11,37] The band at ∼829 cm−1 represents the ZnO lattice vibrational frequency, while the peaks flexing at 1329 cm−1 and 669 cm−1 were attributed to ZnO formation.[13,38] The CNC absorption peak observed at 1110 cm−1 derived from C–O–C pyranose ring vibration.[39] More importantly upon MoS2 doping, two additional peaks at 1638 cm−1 and 2069 cm−1 were observed, which might be linked with the Mo–S vibration. The vibration of spectra and the change in peak intensity again provide evidence for the substitution of MoS2/CNC into ZnO, successfully. Subsequently, the selected area electron diffraction (SAED) ring patterns of undoped and doped NRs exhibited distinct bright spots as shown in Fig. 3(c–e). The observed rings provided strong evidence for the fact that products were highly crystalline while ring indexing matched with XRD patterns nicely. The interlayered spacing (d-spacing) of all prepared nanocomposites was measured using HR-TEM (10 nm) images as shown in Fig. 3(f–h). d-Spacing values for ZnO, CNC and ZCM2 were calculated to be 0.291, 0.281 and 0.296 nm, respectively. The calculated d-spacing values correlated well with the XRD patterns.
Fig. 3
(a) XRD patterns, (b) FTIR spectra (c–e), and SAED patterns of ZnO, CNC and ZCM2 and (f–h) d-spacing images of ZnO and co-doped ZnO NRs.
The optical properties of the concerned materials were analyzed through UV-vis spectroscopy in the 200–800 nm range. The absorption spectra of pristine ZnO and CNC with different concentrations of MoS2 (50 and 100 mg) are depicted in Fig. 4(a). All prepared samples showed maximum absorption in the range 250–400 nm. The maximum absorption peak of ZnO NRs was found at 375 nm,[40] and a clear blueshift for ZnO-CNC, ZCM1 and ZCM2 samples was noticed as compared to pristine. The observed blueshift indicated a change in the band structure of host ZnO NRs. The energy band gap (Eg) was calculated using Tauc's equation; graphs were plotted for (αhν)2vs. (hν) and the corresponding results are depicted in Fig. 4(b). Eg was calculated to be 3.2, 3.3, 3.1, 2.4 and 2.3 eV for CNC, ZnO, ZnO-CNC and MoS2/CNC-doped ZnO, respectively. The addition of two types of impurity elements caused lattice strain in the structure of the crystal, which might be a consequence of variation in the energy band structure of doped samples.[41,42]
Fig. 4
(a) Uv-Vis spectra, (b) Tauc plots for the band gap, (c) photoluminescence spectra (PL) and (d) Raman spectra of undoped and doped ZnO NRs.
The Raman spectra of ZnO, CNC, ZnO-CNC, ZCM1 and ZCM2 were recorded at room temperature and are depicted in Fig. 4(d). The characteristic band of ZnO found at 1179 cm−1 was assigned to the scattering process of the ZnO wurtzite structure.[11,43] a strong band centered at ∼1005 cm−1 and a weak band from ∼1167 to 1194 cm−1 were observed, which confirmed the presence of CNC in the mapped area. A clear blueshift in Raman spectra for ZnO-CNC, ZCM1 and ZCM2 was observed, as shown in Fig. 4(d). It indicated that upon doping of MoS2 into the ZnO matrix, the original wurtzite structure of pristine was changed due to introduced vacancies, substitution defects and reduced crystal symmetry.[44] Bands at 964 and 1066 cm−1 were found in the spectra of ZnO-CNC, ZCM1 and ZCM2 composites as compared to bare ZnO, suggesting that CNC and MoS2 were successfully loaded on the ZnO surface.Photoluminescence spectroscopy (PL) was employed to further examine the transfer behaviour of electron–hole pairs (e− – h+) and the rate of recombination and trapping in semiconductors.[13,45] A low PL intensity indicates a lower e− – h+ recombination rate under light irradiation. On the other hand, a high PL intensity manifests a higher e− – h+ recombination rate, which is detrimental to photocatalytic activity. The PL spectra of ZnO, CNC, ZnO-CNC, ZCM1 and ZCM2 were recorded at room temperature and the corresponding results are shown in Fig. 4(c). For pristine ZnO, the shallow donor level of oxygen vacancies in the valence band (VB) corresponds to the blue emission peak at a 408 nm wavelength.[13] The PL spectra of CNC with the peak position at 410 nm could originate from carbonyl groups and various types of low-molecular derivatives of CNC destruction.[46] Upon loading of MoS2 into ZnO, the PL intensity was suppressed for the sample ZCM1, suggesting that the e− – h+ rate was reduced, which increases the ability of electron immigration. However, the peak intensity in the sample ZCM2 once again increased upon increasing the concentration of MoS2, which indicated that further doping of MoS2 into ZnO was not suitable for the photocatalyst.[47]In order to acquire information regarding the surface elemental composition of pristine ZnO NRs, CNC, ZnO-CNC, ZCM1 and ZCM2 EDS analysis was performed. The formation of ZnO NRs was confirmed by the presence of Zn and O peaks as shown in Fig. 5(a), while the peaks of C, Mo and S in ZCM1 and ZCM2 samples demonstrated the successful loading of CNC and MoS2 atoms into the lattice. A peak of sodium (Na) was observed for the synthesized samples, which emanate from NaOH used to retain the pH of the samples. Furthermore, the additional elements in Fig. 4(b–e) Ca, Cu and Si might be due to the sample holder, conductive tape or some contamination.
Fig. 5
EDS spectra of ZnO and co-doped ZnO NRs (a–d) with the MoS2 content (50 and 100 mg).
HR-TEM was carried out to confirm the morphology of ZnO and MoS2/CNC-doped ZnO NRs. Fig. 6 (a and inset) reveals nanorods of ZnO synthesized via a one pot co-precipitation route, while Fig. 6b shows a nanocluster of CNC. The addition of CNC to NRs causes the agglomeration of nanoclusters with a small size (Fig. 6c). MoS2/CNC dopants agglomerated on NRs; increasing the quantity of dopants on NRs resulted in increased agglomeration, implying a random distribution of CNC and MoS2 with NRs Fig. 6(d–e).
Fig. 6
TEM images (a–e) of ZnO and co-doped ZnO NRs; HR-TEM scale bar: 100 nm.
XPS analysis was used to understand the development of additional MoS2/CNC-doped ZnO NRs. The surface content and valence states of the produced NRs are shown in Fig. 7(a, b). XPS analysis indicates the origin of component elements with a favourable reaction. The high-resolution spectrum of Mo 3d in Fig. 7(a) shows two binding energy levels, 229.1 and 232.1 eV for Mo 3d5/2 and Mo 3d3/2, respectively, confirming the heterostructure's Mo(iv) state.[48] Mo 3d5/2 and Mo 3d3/2 binding energies show that the Mo ions in the produced material are in distinct oxidative states.[49] The Zn 2p peaks in Fig. 7(b) are the typical peaks of the Zn2+ oxidation state in ZnO at 1021.4 eV and 1044.4 eV, which correspond to comparable Zn 2p3/2 and Zn 2p1/2 values in pure ZnO, respectively.[50]
Fig. 7
(a and b) XPS spectra of the prepared NRs: (a) Mo 3d and (b) Zn 2p.
The in vitro antibacterial effectiveness of pristine ZnO and MoS2/CNC-doped ZnO NRs was assessed by measuring inhibition zones (mm) via an agar-based diffusion technique against E. coli and S. aureus and the corresponding results are shown in Table 1. The results showed that the synergistic effect was directly proportional to the NP concentration and inhibition zones (mm). Statistically significant (p < 0.05) inhibition zones for ZnO, CNC, CNC/ZnO, ZCM1 and ZCM2 were recorded as (3.35–6.30 nm) and (4.30–6.5 nm) for E. coli and (0.95–8.65 nm) and (1.25–12.55 nm) for S. aureus at low and high concentrations, respectively. Positive control ciprofloxacin showed 7.15 mm and 11.65 mm inhabitation zones towards E. coli and S. aureus in contrast to DI water (0 nm), respectively. Overall ZCM2 revealed significant antibacterial activity for G +ve relative to G −ve at both concentrations. The variation in oxidative stress is influenced by different variables such as the particle size, morphology and surface to mass ratios. Small sized particles contain reactive oxygen species (ROS), which encircle the bacterial cell membrane and cause bacterial death by the inhibition of the folate biosynthesis pathway enzymes DHFR and DHPS (Fig. 8 and 9).[24]
Antibacterial efficacy of ZnO, CNC and MoS2-CNC-doped ZnO NRs
Sample
Inhibition zonea (mm)
Inhibition zoneb (mm)
0.5 mg/50 μL
1.0 mg/50 μL
0.5 mg/50 μL
1.0 mg/50 μL
ZnO
3.35
4.30
0.95
1.25
CNC
3.30
4.45
0.95
1.65
CNC:ZnO
3.75
4.55
4.75
8.90
ZCM1
4.80
5.40
5.45
11.85
ZCM2
6.30
6.5
8.65
12.55
Ciprofloxacin
7.15
7.15
11.65
11.65
DIW
0
0
0
0
Measurements of inhibition areas against G –ve.
Inhibition areas (mm) for G +ve.
Fig. 8
Schematic illustration of the proposed antimicrobial mechanism of MoS2@CNC/ZnO NRs as in silico molecular docking studies revealed the NR inhibitors of the folate biosynthesis pathway.
Fig. 9
Schematic illustration of the antimicrobial mechanism of MoS2@CNC/ZnO NRs.
Measurements of inhibition areas against G –ve.Inhibition areas (mm) for G +ve.The role of in silico molecular docking in solving mysteries behind various biological activities is well documented. Enzymes belonging to the folate biosynthetic pathway have been reported as attractive targets for antibiotic discovery, for instance DHFR and DHPS (i.e. trimethoprim antibiotic).[51,52] Previously, Arularasu et al. reported cellulose/TiO2 nanocomposites as anti-bacterial agents and identified possible interaction patterns with active site residues.[26] Here, we attempted to unveil the interactions of nanocomposites inside the active pocket of DHFR and DHPS enzymes from E. coli and S. aureus, which suggest these nanocomposites as possible inhibitors of these enzymes.In the case of ZnO-CNC nanocomposites against the active site of DHFR, the best docked conformation (binding score −9.671 kcal mol−1) showed a H-bond with Asp27 (2.7 Å), Ile94 (2.1, 2.4 Å) and ALA (1.8 Å), where interacting residues are represented as sticks in Fig. 10(a), while the best binding score observed for ZnO-CNC-MoS2 was −7.883 kcal mol−1 revealing H-bond interaction with Ile94 along with Pi–sulfur interaction with Phe31 as depicted in Fig. 10(b). The docked complexes with both nanocomposites with DHFR are depicted in Fig. 10(c) as superimposed structures showed their residence inside the pocket.
Fig. 10
Binding interaction pattern inside the active pocket of DHFR from E. coli (a) ZnO-CNC NPs and (b) ZnO-CNC-MoS2 NPs and (c) 3D-structure representation of ZnO-CNC and ZnO-CNC-MoS2-DHFR complexes (superimposed).
The best docked complex of ZnO-CNC against DHPS revealed H-bonding interaction with three amino acid residues of the active pocket i.e. Lys221 (2.1 Å), Asn115 (1.7 and 2.8 Å) and Asp96 (2.7 Å) with an overall binding score of −10.152 kcal mol−1 (Fig. 11(a)). Similarly, ZnO-CNC-MoS2 showed a binding score of −9.773 kcal mol−1 having H-bond involvement with Asn115 (2.3 and 3.0 Å), Asp185 (2.9 Å), and Lys221 (1.8 and 2.5 Å) as shown in Fig. 11(b), while superimposed complexes are depicted in Fig. 11(c).
Fig. 11
Binding interaction pattern inside the active pocket of DHPS from E. coli (a) ZnO-CNC NPs and (b) ZnO-CNC-MoS2 NPs and (c) 3D-structure representation of ZnO-CNC and ZnO-CNC-MoS2-DHPS complexes (superimposed).
Furthermore, the docking predictions of ZnO-CNC NPs against the active pocket of DHFR S. aureus also revealed a good binding tendency (binding score: −6.779 kcal mol−1) and interaction pattern, representing the involvement of Asp27 (H-bond: 2.5 Å) and ALA7 (H-bond: 1.8 and 2.8 Å). A similar trend was observed for ZnO-CNC-MoS2 (binding score: −5.639 kcal mol−1) showing interaction with ALA7 (1.7 and 2.7 Å) and Asp27 (2.7 Å) through H-bonds as depicted in Fig. 12(a) and b, while superimposed complexes for both nanocomposites are shown in Fig. 12(c).
Fig. 12
Binding interaction pattern inside the active pocket of DHPS from S. aureus (a) ZnO-CNC NPs and (b) ZnO-CNC-MoS2 NPs and (c) 3D-structure representation of ZnO-CNC and ZnO-CNC-MoS2-DHPS complexes (superimposed).
To check the catalytic performance of ZnO, CNC, ZnO-CNC and MoS2/CNC-doped ZnO NRs, UV-vis spectra were attained using methylene blue (Mb) dye as the contaminant to be degraded in the presence of each sample. Pure and MoS2/CNC-doped ZnO NRs showed a maximum dye degradation of 10.2, 67.6, 69.36 and 69.44% in an acidic medium (pH = 4) and 30.2, 8.29, 32.4, 35.08 and 44.55 in a neutral medium (pH = 7), respectively, as expressed in Fig. 13(a and b). The maximum catalytic performance was observed in acidic solution with higher doping of MoS2/CNC into ZnO NRs within 15 minutes. Catalytic activity was influenced by the surface area, morphology and crystallinity of the nanoparticles. In the present work, the consequent improvement perceived in the catalytic performance is ascribed to a change in the morphology (nanorods) (Table 2).
Fig. 13
Catalysis of ZnO, CNC, ZnO-CNC, ZCM1 and ZCM2 in (a) acidic and (b) neutral media.
Comparison of results for the degradation of methylene blue: ciprofloxacin by NaBH4 in the presence of catalysts
Catalyst
Dye
Reaction time
Catalyst amount
Degradation result
References
CuO/TiO2/ZnO NCs
Crystal violet
360 s
5 mg L−1
82.18%
53
GO-doped MgO NSc
Methylene blue: ciprofloxacin
80 s
3 mg L−1
45%
54
Cu/ZnO NCs
Malachite green and rhodamine B
180 s
10 mg L−1
52%
55
CuO NPs/clinoptilolite
Methylene blue and rhodamine B
15 s
7 mg L−1
60%
56
ZCM2 NRs
Methylene blue
15 min
3 mg L−1
69.44%
Present study
Conclusion
In the current study, MoS2/CNC-doped ZnO NRs were synthesized successfully to achieve an enhanced bactericidal effect and catalytic performance. According to experimental results, ZnO exhibited a hexagonal wurtzite phase and the crystalline size was found to be increased (26.2–48.5 nm) upon co-doping, while the presence of Mo–S vibration and the formation of ZnO NRs were confirmed by FTIR and EDS. The rod-like morphology, d-spacing and agglomeration upon CNC and MoS2 doping in ZnO NRs were confirmed by HR-TEM. UV spectra revealed a blueshift due to the doping of MoS2/CNC, causing the band gap to narrow in comparison to the undoped (3.3–2.3 eV). When MoS2/CNC was doped into ZnO, the PL intensity decreased, resulting in a reduced electron–hole pair recombination rate. The dye degradation effectiveness of NRs against MB dye was determined in acidic and neutral media. A maximum degradation of 68.44% was observed for ZCM2. Overall the experimental outcomes revealed MoS2@ZnO/CNC-0.2 (ZCM2) as a significant bactericidal agent for G +ve relative to G −ve at both concentrations. In silico molecular docking investigations suggested ZnO-CNC and ZnO-CNC-MoS2 nanocomposites as possible inhibitors of DHFR and DHPS enzymes of the folate biosynthetic pathway. According to the results of this study, the synthesised ZnO and MoS2/CNC-doped NRs have demonstrated excellent antibacterial and catalytic effectiveness for the treatment of industrially contaminated wastewater and for usage in biomedical applications.
Availability of data and materials
All data are fully available on demand.
Funding
The authors are thankful to HEC for financial support through start research grant project # 21-1669/SRGP/R&D/HEC/2017 Pakistan.
Conflicts of interest
The authors confirm that this manuscript has no conflict of interest.
Authors: M Ikram; S Hayat; M Imran; A Haider; S Naz; A Ul-Hamid; I Shahzadi; J Haider; A Shahzadi; W Nabgan; S Ali Journal: Carbohydr Polym Date: 2021-06-17 Impact factor: 9.381
Authors: S Altaf; A Haider; S Naz; A Ul-Hamid; J Haider; M Imran; A Shahzadi; M Naz; H Ajaz; M Ikram Journal: Nanoscale Res Lett Date: 2020-07-08 Impact factor: 4.703
Authors: M Ikram; T Inayat; A Haider; A Ul-Hamid; J Haider; W Nabgan; A Saeed; A Shahbaz; S Hayat; K Ul-Ain; A R Butt Journal: Nanoscale Res Lett Date: 2021-04-07 Impact factor: 4.703