Antioxidant activity of O. vulgare extracts
Since polyphenols and flavonoids are generally associated with radical scavenging activities, the four different O. vulgare extracts were, therefore, evaluated for DPPH-free radical scavenging activity and the results were expressed in terms of IC50 values (µg mL-1). All of the samples presented reasonable radical scavenging activities. The highest activity was observed for OV3 (40.22± 0.91 µg mL-1) followed by OV 2 (49.99±1.24 µg mL-1). A relatively lower radical scavenging activity was observed for OV 1 (64.73±1.01 µg mL-1) and the least activity was observed for OV 4 (75.99±13 µg mL-1) (Fig. 1). Lower absorbance values of the reaction mixture indicated higher free radical activity. The antioxidant activity of plant extracts was compared with the antioxidant activity of catechin (12.62µgmL-1), as positive control. The results are supported by several other numerous studies which confirm the notion that extracts with a high phenolic content exhibit strong antioxidant activity (Tungmunnithum et al. 2018).The highest activity was observed for OV3 (40.22±0.91 µg mL-1),which could be associated with the highest amount of flavonoid and polyphenols.
Generation and Characterization of Ag NPs
Four groups of Ag NPs (i.e. Ag NPs 1, Ag NPs 2, Ag NPs 3 and Ag NPs 4) were produced exploiting OV 1, OV 2, OV 3 and OV 4 extracts, respectively. The formation of Ag NPs was confirmed by exploiting UV-Vis spectroscopy based analysis. In the presence of plant extracts, the color of the reaction mixture changed from light yellow to brown after 18 h of incubation. The previous literature about Ag NPs describes that the NPs are formed when color of the solution turns from light yellow to brown whilst a dark brown or black color indicates the possible oxidation of Ag NPs (Yong et al. 2013). The stability and shelf life of all nano-suspensions were investigated after keeping the samples in storage for more than two weeks after production. The results, however, pointed out that the samples were not very stable as indicated by the change in color of the samples (Fig. 2). No change in color was observed in the absence of plant extract, under similar conditions which confirm the notion that plant extracts are the key players for the generation of NPs.
The samples were diluted 2.5 times for UV-Vis spectrophotometric analysis and the results indicated absorbance peaks around 440–460 nm which are specific for Ag NPs in the samples (Fig. 3). The results are in agreement with the literature data (Sankar et al. 2010; Sankar et al. 2014; Moodley et al. 2018; Behravan et al. 2019; Pirtarigha et al. 2019).
In the dark condition, the color of the Ag NPs reaction mixture did not change confirming the significance of light energy for the generation of Ag NPs (images not shown). The significance of light energy for the generation of NPs is also described by Rahman et al. (2019). Since the Ag NPs were not obtained in dark condition, the data described above only belongs to the samples exposed to light. Since Ag NPs belong to the category of plasmonic particles, they exhibit unusual optical properties. The electrons present in the conduction band at the surface of Ag NPs undergo collective oscillation when illuminated at specific wavelengths, a phenomenon known as surface plasmon resonance (SPR). SPR imparts high absorbing and scattering properties to the Ag NPs (Al-sharqi et al. 2019). The absorption peak of such particles may, therefore, shift depending on the size, shape and the environment surrounding the particles (Lee and Jun 2019). Previous studies have suggested that the SPR band shifts to a longer wavelength with increasing nanoparticle size known as redshift (Loiseau et al. 2019).
Dynamic Light Scattering and Zeta Potential Studies
DLS is a technique which measures the average particle size of nanoparticles in a sample. The principle of DLS operation is based on the method of laser beam diffraction. The incident light at the sample is mainly scattered by particles whose refractive index differs significantly from the solvent. The intensity of scattered light is detected by the DLS detector (Karmakar 2019). The results of DLS analysis revealed Z-average particle size of 58.81±0.65 d.nm, 30.27±0.17 d.nm, 30.20±045 d.nm and 44.11±0.56 d.nm for Ag NPs 1, Ag NPs 2, Ag NPs 3 and Ag NPs 4, respectively (Fig. 4). Polydispersity Index (PDI) is also an important indicator of quality in relation to size distribution. PDI values for the samples ranged from 0.291 to 0.536, which indicated that the samples are somewhat polydisperse in nature and the diameters of particle vary significantly (Danaei et al., 2018).
The ξ-potential is another significant parameter for understanding the surface charge and the tendency of aggregation of NPs. It is generally accepted that NPs with ξ-potential values of ± 0–10 mV, ± 10–20 mV, ± 20–30 mV, and ± 30 mV are unstable, relatively stable, moderately stable, and highly stable, respectively (Bhattacharjee, 2016). The arguments regarding the dependence of the stability of NPs on the ξ-potential differ slightly in the literature (Kumar and Dixit, 2017). The ξ-potential values of -16.90±1.13 mV, -21.30±0.40 mV, -22.50±0.55 mV and -26.70±0.23 mV were recorded for the Ag NPs 1, Ag NPs 2, Ag NPs 3 and Ag NPs 4, respectively. NPs of these ξ-potential values are still prone to agglomeration, which may lead to further aggregation.
SEM-EDX analysis
SEM was performed to determine the particle size distribution of Ag NPs. SEM images confirmed that that Ag NPs were obtained in small sizes ranging from 1 to 50 nm, as shown in Fig. 5. In the case of Ag NPs 2, Ag NPs 3 and Ag NPs 4 sizes of 1–25 nm prevailed, whilst in the case of Ag NPs 1, the predominant size was 30–50 nm.
EDX was employed to confirm the elemental composition of the reaction mixture (Menon 2017). The EDX analysis presented the spectral signal in silver region confirming the presence of Ag NPs. The spectral signals of carbon, oxygen, chlorine, and sulfur were also observed, which could be associated to the presence of phytochemical constituents of plant extracts adsorbed at or near the surface of metal NPs.
Inductively coupled plasma-optical emission spectroscopy analysis
The total Ag content was determined exploiting inductively coupled plasma-optical emission spectrometry (ICP OES). It is important to note that this method is not able to differentiate between Ag ions and Ag NPs and provides the cumulative content of both forms (Campos et al. 2017). Nevertheless, the analysis provides details about the quality of the samples. According to the results of ICP-OES Ag NPs were obtained in good amount. The highest quantity was achieved for Ag NPs 3 (110.1±0.2 mg L-1) followed by Ag NPs 2 (107.3±1.5 mg L-1). A slightly lower quantity was achieved for Ag NPs 4 (106.7±1.1 mg L-1) and the least amount was observed for Ag NPs 1 (103.9±0.8 mg L-1). The slight differences in the achieved quantities are of particular interest since the amount of AgNO3 initially employed for all the samples was same. These differences in quantities can be explained considering the operating principle of ICP-OES, where only small particles may be detected and large particles may go to waste. According to the ICP-OES, the lowest Ag concentration was achieved in case of Ag NPs 1, which indicates that this sample contained aggregated particles or Ag oxides, while the highest Ag content among all samples was achieved for Ag NPs 3, confirming the good quality of this sample.
Antibacterial activity of Ag NPs
Based on the excellent results of characterization, Ag NPs 3 was selected for the antibacterial activity along with the relevant extract (OV3). The antibacterial activity was evaluated against several bacterial strains in terms of zone of inhibition and the antibacterial activity of Ag NPs 3 was compared with the activity of chemically synthesized colloidal Ag NPs (P>0.05) (as reference sample) and standards (p<0.05), as presented in Fig. 6. The plant extract alone did not exhibit marked antibacterial activity (data not shown). The antibacterial activity of biologically synthesized Ag NPs 3 in some cases was comparable to chemically produced colloidal Ag NPs at the same concentration.
To investigate the stability in the activity of Ag NPs the MIC values were presented, which were 13.75, 9.16, 18.35, 18.35, 18.35 and 11 µgmL-1 observed for Ag NPs 3 against St. aureus MDC 5233, B. subtilis WT-A17, E. coli VKPM-M17, S. typhimurium MDC 1754, E. coli DH5α-pUC18 and E. coli pARG-25, respectively. The experiment was repeated with the same sample (Ag NPs 3) after one week, and a significant decrease in the antibacterial activity of Ag NPs 3 was observed whilst the colloidal Ag NPs retained the activity. This decrease in activity could be attributed to the possible aggregation of NPs.
In case of Gram-positive bacterial strains, the activity of colloidal and biosynthesized Ag NPs was almost similar, but in case of Gram-negative strains we had some diversity in the influence - E. coli VKPM-M17 was more sensitive to the biosynthesized NPs, compared to the colloidal ones (Fig. 6) (p<0.01). Ag NPs 3 inhibited the growth of E. coli strains even stronger than the standard (Fig. 6) (p<0.05).
The growth kinetics assay was employed to understand the pattern of bacterial growth under the influence of biosynthesized Ag NPs and the related extract. A significant inhibition in growth of E. coli VKPM-M17 was observed for both samples i.e. extract and the Ag NPs 3 as presented in Fig. 7.
The values of μ2 and g2 were also calculated for E. coli VKPM-M17 treated with OV 3 extract (t0 = 0 and t = 1 h). The values of calculated growth rate constants for Ag NPs 3 and OV3 extract were 0.529 h-1 and 0.456 h-1, respectively. The mean generation time of 1.31 h and 1.52 h was calculated for E. coli VKPM-M17 treated with Ag NPs 3 and OV 3 extract, respectively.