Resazurin-based dyes are routinely used to assess the viability of a range of biological systems including bacteria, yeast, fungi, protozoa, and eukaryotic cells [30,31,32]. Considering their capacity for very fast detection (10 min) with high sensitivity (12 cells per well for the commercially available dye Presto Blue [33]), we started our research with the aim of investigating the use of this dye for more accurate tracking of bacterial growth kinetics in the presence of antimicrobial NPs characterized by the ability to interfere with analytical techniques.
Initially, we performed a set of growth-kinetic studies for eight different bacterial concentrations using an overnight culture serially diluted from 10−8 to 10−1 (as indicated in the legend of Fig. 1). For the most optimal tracking of the bacterial growth, all samples contained a high content of dye added at the beginning of the monitoring process. Measurements were automatically performed every 15 min and included detecting an absorption signal at 600 nm followed by detecting the fluorescence signal with emission/excitation at 560/590 nm (Fig. 1a). The same type of experiment was repeated with three bacterial strains characterized by different bacterial growth kinetics, two Gram-negative (E. coli and P. aeruginosa PAO1) and one gram-positive (S. aureus). As shown in Fig. 1a, after both absorbance and fluorescence detection, the dye could track the bacterial growth kinetics at different bacterial concentrations for all three bacterial strains. A timeframe of 15 min set between two measurements was long enough to enable the detection of a change in bacterial growth and it provided a high time-resolution of the studied kinetic process. Although there was a frequent exposure to light during the measurement, the dye remained stable throughout the study and we did not observe any need for additional labeling. This can be attributed to the high concentration of the dye that was initially applied to the labeling procedure which provided a stable staining process throughout the 12-h period.
The critical point in the initial set-up of the method was the dependence of the signals on the concentration of bacteria in the sample. For the same concentrations of bacteria, the fluorescence signal was significantly more intense in comparison to the absorbance signal (which has some important benefits for testing NPs as it will be demonstrated later). Consequently, it provided a higher sensitivity in the detection of low concentrations of bacteria. On the other hand, there was a need for applying absorbance detection for higher concentrations of bacteria. Therefore, to obtain complete information of the growth process, the monitoring of the absorption and fluorescence signals was compulsory. At lower concentrations of bacteria, the fluorescence signal was lower and therefore detectable. Its comparison to the absorbance signals obtained for the same low concentrations of bacteria showed an excellent level of correlation for all three types of investigated bacteria. However, we also observed that for higher bacterial concentrations the fluorescence signal was very high and undetectable. Instead of introducing a dilution step, information on these bacteria levels was obtained from the absorption signal, which provided reliable data about bacterial growth. Therefore, to skip any additional steps while following the kinetic process (i.e., intermediate sampling, dilutions, and measurements), we performed complementary, two-signal measurements that provided a high-resolution measurement of the total 12-h kinetic process for the entire concentration range of tested bacteria.
Measurements simultaneously performed for an investigated series of eight different bacterial concentrations were used to provide a correlation between absorbance and fluorescence signals in terms of the concentration of the bacteria (Fig. 1b). As indicated in Fig. 1b, with increasing bacteria concentration, the changes in both signals have the same trend. This was confirmed for all three types of tested bacteria. Consequently, it is possible to use both detection methods, based on absorption or fluorescence (or their combination), to follow the growth kinetics of bacteria. Minimal and maximal detectable bacteria concentrations for each bacterial strain tested could be identified from Fig. 1b. Graphs are showing correlations between OD(600 nm) or fluorescence (560/590 nm) as a function of bacterial cell number (cfu/ml). The horizontal line indicates baseline corresponding to the OD/fluorescence of Presto Blue in the growth medium. Presto Blue was able to detect ≥ 10 cfu/ml of E. coli, > 25 cfu/ml of P. aeruginosa and ≥ 268 cfu/ml of S. aureus. Besides, direct comparison of the growth curves obtained for fluorescence and absorbance detection reveals that fluorescence saturation always appears at the same OD for the same bacterial strain. However, it is very interesting to observe that these ODs are different for different strains. For E. coli last detectable fluorescence signal appears at OD = 1.02 (corresponding to 3.04 × 108 cfu/ml), in P. aeruginosa the signal appears for OD = 1.25 (corresponding to 2.54 × 109 cfu/ml) and in S. aureus it is at OD = 1.4 (corresponding to 1 × 1012 cfu/ml). For higher ODs, fluorescence gets saturated and could not be detected anymore. Therefore these values of OD (and corresponding cfu/ml) are maximal concentrations of each strain of bacteria detectable using Presto Blue fluorescence detection.
In the next step, the optimized protocol was used to test bacterial growth kinetics in the presence of NPs with specific optical properties. In one particular case, we validated our method for Au NPs functionalized with amino acids on apatite template (HAp/Au/arginine) which are cationic NPs characterized by contact-based antimicrobial activity [29, 34]. Their antimicrobial activity is strongly dependant on the interactions with the bacterial cell wall and significantly depends on direct contact between NPs and bacterial surface. HAp are plated with mean values of width and length 500 nm and 100 nm, respectively and BET surface area of 24 m2/g [35, 36]. Within HAp/Au/arginine composites, AuNPs are 5–15 nm in size (Fig. 2a1) deposited at apatite plates and their BET specific surface area is 86 m2/g. Non-templated Au/arginine NPs are with BET specific area of 27 m2/g, and they aggregated structures containing 20–30-nm sized NPs (Fig. 2a2) within large agglomerated spheres with 500 nm in diameter [29]. When they are non-agglomerated and stably attached to the surface of the apatite template, HAp/Au/arginine NPs are characterized by the surface resonance of conduction electrons (plasmons) generated by incident light (as illustrated in Fig. 2b). Consequently, they have strong absorption at 540 nm corresponding to the surface plasmon resonance (SPR) maximum. Both components of the composite possess specific optical characteristics. Apatite is characterized by the absorption of light over the entire UV/vis region (Fig. 2c) whereas absorption by Au/arginine NPs depends on their stability (Fig. 2c). The SPR maximum of stabilized Au/arginine NPs is very close to the signal at 600 nm which is the wavelength commonly used for measuring the optical density (OD600, Fig. 2c) for tracking the kinetics of bacterial growth. Therefore, due to the inherent characteristics, the material has the potential to interfere with turbidity-based spectroscopic methods [37] most frequently applied for monitoring the influence of NPs on the kinetics of bacterial growth.
The capacity of this material to interfere with the turbidity-based spectroscopic detection of bacterial growth was initially confirmed by following the absorption signal at 600 nm. Gradually increasing concentrations of NPs in a LB medium (ranging from 0.1 to 1 mg/ml as indicated in the legend of Fig. 3a) without any added bacteria provided a significant signal at 600 nm (Fig. 3a). Consequently, we detected a very intense background that was even higher than the absorption signal obtained for the reference bacteria in the stationary growth phase. Due to their capacity for significantly increasing the background, NPs provided a substantial shift in the growth kinetics curves towards higher absorbance values during antimicrobial testing of the activity of the material. Moreover, all of the curves corresponding to NPs testing had the sigma-shape typical of the kinetic curves of bacterial growth. Therefore, when following the absorption signal at 600 nm only, one would conclude that NPs cannot inhibit E. coli growth. However, endpoints obtained after 12-h testing (Fig. 3b) clearly confirmed antimicrobial activity. Presto Blue is a blue, non-fluorescent resazurin dye (in non-metabolically active cells) which is reduced to fluorescently pink resorufin in the presence of viable bacteria [22]. During testing, similar to the pink-stained reference samples corresponding to viable bacteria, Presto Blue detected metabolic activity and turned pink at lower concentrations of NPs (up to 0.5 mg/ml). For higher concentrations (0.6–1.0 mg/ml), Presto Blue remained blue, with a color identical to that of the pure NPs without bacteria (Fig. 3b). Consequently, the endpoint reading clearly showed the absence of metabolic activity after the addition of 0.6 mg/ml as the minimal concentration of tested NPs that provided complete inhibition of bacterial growth in E. coli (this value corresponds to the MIC). Moreover, considering the unchanged blue color of the Presto Blue in NPs without bacteria in the reference samples, the results excluded non-specific interactions between tested NPs and Presto Blue dye. Although Au(arg) NPs have the potential to catalyze the reduction of resazurin to resorufin upon exposure to light in the presence of amines, [38] this activity was not observed during the testing. If degradation of the dye takes place, resazurin (blue, non-fluorescent) will turn into resorufin (pink, fluorescent) and if the process continues, resorufin will turn into dyhydroresorufin (colorless, non-fluorescent) [22]. Accordingly, dye degradation could be followed either by following blue-to-pink or bleaching- pink change of the color or by following appearance/quenching of the fluorescence. In general, during testing NPs, two possible sources could decompose Presto Blue dye—the light as well as a combination of NPs with the light (photocatalytic degradation). For that reason, during our study, we applied a control system containing Presto Blue with NPs in growth medium (without bacteria) at different concentrations of NPs (corresponding to those used for antimicrobial testing). The control was exposed to the light every 15 min during 12 h along with the samples used for testing antimicrobial activity (in the same 96-well plate). After the 12-h exposure, the color of the Presto Blue remained blue for the whole range of NPs concentrations (Fig. 3b, Additional file 1: Figures S1b, S2b) indicating that the resazurin that was initially added did not change. At the same time, both absorbance and fluorescence signals were low with the values similar to the control containing Presto Blue dye in growth medium (without NPs) (Fig. 3a, Additional file 1: Figures S1a, S2a). Based on these results, we concluded that Presto Blue is stable under our experimental conditions and the absence of non-specific interactions between the dye and the tested NPs were optimal for monitoring bacterial growth accurately and for testing antimicrobial activity.
In contrast to the growth curves obtained from absorption signals, the curves obtained from the fluorescence signal (excitation/emission at 560/590 nm) were much more accurate (Fig. 3a). Due to the absence of a self-fluorescent nature and the inability of NPs to interact or interfere with the dye, the fluorescence signal obtained from NPs in LB for the entire concentration range from 0.1 to 1.0 mg/ml was very low (Fig. 3a). Consequently, due to the minimal background and very good signal-to-noise ratio, the monitoring of bacterial growth kinetics through the detection of the fluorescence signal in the presence of tested NPs provided a much more realistic picture. The obtained curves clearly show a decrease in bacterial growth with increasing concentrations of NPs. For lower concentrations (0.2–0.5 mg/ml), a fraction of bacteria remained viable as detected in the pink-colored endpoints (see Fig. 3b). For higher NP concentrations (0.6–1.0 mg/ml), there is a bacteria inhibition growth (blue color). As with the endpoint viability, growth curves obtained from the fluorescence signal confirmed the value of the MIC of the investigated NPs in E. coli as 0.6 mg/ml. Due to a very high intensity of the fluorescence signal that reached the detectability limit, data for the growth kinetics of the reference bacteria and for the bacteria with a low concentration of NPs (0.1 mg/ml) were missing. These data were compensated by using the information obtained from the absorption signal. Growth curves obtained from the fluorescence signal for higher concentrations of NPs and growth curves obtained for lower concentrations of NPs and the reference bacterial growth provided the complete picture of the kinetics of the antimicrobial characteristics of HAp/Au/arginine NPs. Beyond the observed details regarding tracking the kinetics of bacterial growth, the accurate detection of the bacterial viability and the MIC values were also confirmed in two additional bacterial strains, P. aeruginosa (Additional file 1: Figure S1) and S. aureus (Additional file 1: Figure S2). The Presto Blue method applied to tracking the growth kinetics provided a determination of their MIC values which were between 0.4 and 0.5 mg/ml for P. aeruginosa and exceeded 1 mg/ml for S. aureus.
The antimicrobial activity of the HAp/Au/arginine NPs was further investigated by comparing the activity of the entire structure with the activity of separated components [non-templated functionalized AuNPs (Au/arginine) and pure apatite template (Hap)] for the concentration range indicated in the legend of Fig. 4. As previously observed (Fig. 2c), the separated components and HAp/Au/arginine have different optical properties. Compared to the substantial increase of the background and the shifting of the growth kinetics to higher values of absorbance at 600 nm observed in HAp/Au/arginine, this effect was significantly lower in non-templated arginine-functionalized AuNPs (Au/arginine) and in a pure apatite template (Hap). Because they are intensely agglomerated due to the absence of stabilization provided by the apatite template (Fig. 2c) Au/arginine NPs are not characterized by an intensive SPR maximum. The maximum is also missing in the apatite absorption spectrum. Therefore, according to the absorbance signal (Fig. 2c), their contribution to the change in the bacterial growth curve is reduced. The growth curves of the E. coli reference and the bacteria grown with 0.6–1.0 mg/ml of Au/arginine or apatite are very similar. Based on this information, one concludes that Au/arginine NPs and Hap do not have any influence on the growth of E. coli as separated components. The same observations were additionally confirmed for non-templated Au/arginine and separated template tested in P. aeruginosa (Additional file 1: Figure S3) and S. aureus (Additional file 1: Figure S4) bacterial strains. Compared to the absorbance, the fluorescence signal provided higher sensitivity and confirmed that Au/arginine causes a limited decrease in the bacterial growth rate which was most pronounced for S. aureus (Additional file 1: Figure S4).
Presently, a range of different NPs and nanostructures are optimized to design the next generation of antimicrobials. Even more nanofeatures are involved as building components of different emerging platforms designed for innovative drugs, medical devices, and healthcare procedures of the future. Most of these structures are characterized by particular optical properties and tend to interfere with different detection and biological validation procedures. Along with the advancement of medication, there is a need for the development of medical and biological validation methods because old approaches may no longer possess the required level of accuracy. From that standpoint, the optimized Presto Blue method is a very good tool for tracking the kinetics of bacterial growth as well as the accurate detection of antimicrobial activity in NPs. This significant advancement of microbiological analytical techniques applied to the characterization of NPs is essential. It provides the possibility for very sensitive detection of bacterial growth with a very high-time resolution and the excellent stability required for long-term examinations (including the dynamic process). In particular case of HAp/Au/arginine NPs, the method provided accurate tracking of the influence of these NPs to bacterial strains characterized with very specific membrane compositions [39,40,41]. Since electrostatic interactions among arginine-functionalized NPs and bacterial cell wall are critical for their antibacterial activity, it revealed an exciting, new direction for future investigations regarding the interactions existing at the interface between the bacterial wall and cationic Au/arginine NPs. In general, we believe that this method can be tailored for other detection purposes when the optical properties of NPs and nanostructures are limiting factors in resolving a number of other issues hidden within the high background caused by non-specific interactions of NPs.