In this study, Ag-Au bimetallic substrates were used in all SERS experiments. As was shown in our previous work [27], these particular SERS-active substrates display a SERS EF of 107, and thus demonstrate the ability to perform detection of low-concentration standard analytes like p-mercaptobenzoic acid or biological samples such as ABO antigens [34] or bacterial cells [27]. By applying the Ag-Au bimetallic substrate, we combined the characteristic features of both metals: high chemical stability of Au with very high Raman scattering enhancement for Ag. The SERS-active substrate used in this study exhibits, besides a uniformly high enhancement factor, high reproducibility and stability of recorded signals across a single substrate and between different substrates. The morphology of these SERS-active substrates was visualized by scanning electron microscopy (SEM) technique and is presented in Fig. S3 (see ESM). The SEM images of Ag-Au hybrid surfaces covered with individual bacteria cells are presented in Fig. S4A (see ESM).
Bacterial strains belonging to a single species of the Listeria genus differ in the antigenic determinants localized on the cell surface. These variances are the result of the presence of different chemical compounds that enter the structure of bacterial membrane proteins and extracellular organelles. Such dissimilarities between strains may be recognized by serologic typing, which allows for a more detailed analysis of Listeria spp. This typing is determined by the heat-stable somatic antigen O (15 subtypes: I-XV) and heat-labile ciliary antigen H (4 subtypes: A-D) [35]. Through examination of group-specific Listeria O and H antigens, 13 serotypes (i.e., 1/2a, 1/2b, 1/2c, 3a, 3b, 3c, 4a, 4b, 4c, 4d, 4e, 4ab, and 7) have been recognized in L. monocytogenes that differ in virulence potential [36]. It has been observed that at least 95% of L. monocytogenes strains isolated from food and 98% of clinical strains isolated from human listeriosis belong to serotypes 1/2a, 1/2b, 1/2c, and 4b and among these serotypes 1/2a is the most prevalent in food and 4b is the most frequently detected serotype from human listeriosis cases [37,38,39]. This observation shows how important the information about strain of specific bacterium is.
Serotyping has been widely used to characterize L. monocytogenes isolates and is important in epidemiological investigations. Rapid and practical molecular serogroup-related PCR typing of L. monocytogenes has been developed to differentiate the major L. monocytogenes serotypes. As a result, five distinct genoserogroups were distinguished: IIa (1/2a-3a), IIb (1/2b-3b-7), IIc (1/2c-3c), IVa (4a-4c), IVb (4ab-4b,4d-4e) [29, 30].
In order to distinguish strains of L. monocytogenes, we first compared the spectra of three control strains, 475/05, 2082/03, and 02/07 from groups IIa, IIc, and IVb, respectively. As is clear in Figs. 3a, 5a, 6, and 7a, all gathered SERS spectra contain many similar features. In almost every spectrum, bands at ca. 621, 650, 730, 750, 780, 957, 1003, 1033, 1100, 1220, 1330, 1380, 1403, 1448, and 1580 cm-1 can be observed. The peaks at 730 cm-1 and 1330 cm-1 are assigned to the adenine part of flavin adenine dinucleotide (FAD). The band at ca. 650 cm-1 comes probably from tyrosine, those at 750 and 780 cm-1 from cytosine or uracil, at 1003 cm-1 from phenylalanine, at 957 cm-1 from C=C deformation or C-N stretching, and at 1033 cm-1 from C-C stretching in phospholipids. The peak at 1100 cm-1 can be assigned to C-O-C stretching in carbohydrates, the band at 1220 cm-1 to thymine, and at 1403 cm-1 to COO- symmetric stretching. The band at 1448 cm-1 can be linked to CH2 deformation and at 1580 cm-1 to ring stretching in adenine and phenylalanine. The band assignment was based on the research of Luna-Pineda et al., 2007 [40] and Demirel et al., 2009 [41]. Moreover, we measured the reproducibility of the SERS spectra of all analyzed strains of L. monocytogenes and present an example in Fig. S4B (see ESM) for strain 16/09. The presented spectra were recorded in mapping mode within 20 × 24 μm area of SERS-active substrate.
Although all L. monocytogenes strains give mainly the same peaks in SERS spectra, one can still observe differences. These dissimilarities are seen as changes in band intensities and shapes. In Fig. 3a, one can notice changes for all strains, e.g., (1) for the strain 02/07 the present band at about 1112 cm-1 and almost absent bands at ~ 780, 1380, and 1403 cm-1 in comparison with two other strains; (2) for the strain 2082/03 increased intensity in the 530–570 cm-1 region, as well changed band intensities at about 650, 960, 1080 cm-1 in comparison with two other strains; and (3) for strain 475/05 an additional band at 822 and 1508 cm-1, changes in the 1240–1270 cm-1 region, and increased intensity of peaks at 1400 and 1455 cm-1.
Owing to these changes, almost each strain exhibits a characteristic spectrum. The multivariate technique in the form of principal component analysis (PCA) was applied to the obtained SERS data in order to improve the sensitivity of differentiation. The PCA was performed onto preprocessed SERS spectra (smoothened, backgrounded, and normalized) in the entire recorded spectral region (500–1630 cm-1). Examination of the calculated scores and loadings for the most important PCs, as determined from percent variance plots, were used to investigate changes in the spectral features of SERS data. The two principal components, PC-1 and PC-2, were calculated, which together accounted for 92% of variability and allowed for the differentiation between all studied L. monocytogenes strains. A score plot (Fig. 3b) shows that the spectra could be divided into three groups (clusters) corresponding to 02/07 (blue), 2082/03 (red), and 475/05 (green) strains, from three different genoserogroups. Moreover, the loadings of the PCs provide information on the variables (wavenumber of the spectrum) that are important for group separation. Figure 3c displays the loadings plot of PC1 for the entire wavenumber region. By analyzing these plots, one can indicate the most important diagnostic variables in the analyzed data set. Variables with high loading values are the most important for diagnostic purposes. As can be seen, the wavenumber of 732 cm-1 has the largest weights in the opposite direction. There are other wavenumbers at ca. 1004, 1278, 1400, 1450, 1508 cm-1, which also have an important contribution to PC1 in the same direction. Taking into account the weight of each of these PC1 loadings, it is obvious that in particular five bands at 730, 1004, 1278, 1400, and 1450 cm-1 are the main contributors to PC1 and point to the significant changes induced by the variance of surface antigens in bacterial cells. The result of this PCA is consistent with SERS spectra presented in Fig. 3a, which show in these areas intensive SERS bands because of the vibrational C-C stretching in phenylalanine (1004 cm-1), the C-N stretching mode of the adenine part of flavin adenine dinucleotide (730 cm-1), amide III (1280 cm-1), and CH2 deformation (1400 and 1450 cm-1).
All these SERS bands originate mainly from the components of the bacterial cell wall and membrane. The tentative assignments of the recorded SERS bands of L. monocytogenes are presented in Table S2 (see ESM). For example, the band at 730 cm-1 corresponds to an in-plane ring breathing mode of adenine or from other adenine-bearing molecules, e.g., flavin adenine dinucleotide (FAD), nicotinamide adenine dinucleotide (NAD). The last two molecules are important in the process of cellular respiration taking place in the bacterial cell membrane and demonstrate a close interaction between SERS-active platform and cell wall/ membrane of bacteria. It should likewise be noticed that metabolites of purine degradation may also contribute to the intensity of the band at 730 cm-1 [42]. However, according to Premasiri et al. the band at 1352 cm-1 (not observed in our spectra) represents a metabolic by-product like pyocyanin, a pigment that bacteria produce during their growth. This suggests little to no interference from environmental contaminations and bacterial metabolic products in our recorded spectra. It should be clarified that bands corresponding to these contaminations may also be masked by strong bacterial signals and therefore not affect the discrimination analysis. Moreover, the bands at 1004, 1278, 1400, and 1450 cm-1 correspond to protein vibrational modes and contribute to highest weight in PCA differentiation. This suggests that the spectral differences between the examined strains come mainly from different bacterial envelope proteins.
As genoserotyping is based on differences in surface antigens, it is possible to see the changes in SERS signal during measurements carried out on bacteria strains belonging to different genoserogroups.
In the next step, the comparison of the SERS spectra of strains belonging to different genoserogroups of L. monocytogenes, containing cadA1 gene (strains 43/04 and 82/04, Fig. 4a), cadA2 gene (strains 16/09 and 06/09, Fig. 4b), or cadA2 and bcrABC genes (strains 01/07 and 06/09/S, Fig. 4c) was performed. This was done to confirm the results from the previous experiment, which proved the possibility of assigning L. monocytogenes strains to specific genoserogroups. Here, the strains with the same set of resistance genes but from different genoserogroups were matched. This means that the only difference between the compared strains was in the types of surface antigens.
As can be observed in Fig. 4a-c, for each pair of L. monocytogenes strains the calculated scores are grouped into two clusters. The obtained PC-1 and PC-2 values yield 84% of total variance for two L. monocytogenes strains containing cadA1 gene (43/04 and 82/04) from IIa and IVb genoserogroups, respectively (Fig. 4a). For the two strains within two genoserogroups both with cadA2 gene, 06/09 (gr IIc) and 16/09 (gr IVb), the calculated PC-1 and PC-2 values were also high and explained the 89% of the total variance among the studied samples (Fig. 4b). PCA also revealed differentiation between two strains within two genoserogroups both with cadA2 and bcrABC genes, 06/09/S (gr IIa) and 01/07 (gr IVb) with 66% accuracy.
These data strongly indicate the possibility of classification among strains from different genoserogroups. This means that the SERS technique is able to distinguish the surface antigen profile of L. monocytogenes bacteria from one genoserogroup from bacteria representing other genoserogroups. In many cases the information derived from the cell envelope is sufficient to determine the genoserogroup and strain of a bacterium. Our experiments prove that the SERS signals of bacterial cells come mainly from the cell envelope and molecules located in close proximity to it.
Moreover, we wanted to check whether it is possible to detect SERS spectra changes caused by the presence of the proteins determining resistance to heavy metal (Cd2+) and disinfectant (BC). In some bacterial strains there are specific genes whose expression is manifested by the presence of efflux pumps. Such pumps can extrude one definite substrate or a range of compounds out of the bacterial cell, leading to drug resistance [43]. This may refer to quaternary ammonium compounds such as benzalkonium chloride (BC), which are extensively used in the food processing environment and also in health care [44]. One of the known mechanisms leading to BC resistance in L. monocytogenes is connected with the presence of the resistance cassette bcrABC, which is composed of TetR family transcriptional regulator (bcrA) and two SMR genes (bcrB and bcrC). SMR protein is a proton-depended multidrug efflux system. This efflux system was first identified on a large, ca 80 kb, plasmid pLM80 [32].
So far it has been demonstrated that the pLM80 plasmid plays a role not only in conferring BC resistance on particular L. monocytogenes strains, but also in the cadmium (Cd2+) resistance of these strains because of the presence of the cadA2 gene [31]. The other cadmium resistance determinant, cadA1, was harbored on the Tn5422 transposon, associated with plasmids of various sizes [45]. The CadA1 and CadA2, which are the Cd2+-ATPases, belong to the Zn2+/Cd2+/Pb2+-ATPase bacterial subfamily of P1B-ATPases that ensure detoxification of bacteria [46]. The efflux pump encoded by cadA1 and cadA2 genes helps bacteria to avoid poisoning by Cd2+ and Zn2+. Interestingly, it has been shown that Cd2+-resistant isolates that were also resistant to BC were more likely to harbor cadA2 alone or together with cadA1 than isolates that were Cd2+ resistant but BC susceptible [31].
The sizes of the mentioned efflux pumps are different. CadA1 is composed of 711 amino acids (aa), CadA2 of 705 aa, while BcrB of 106 aa and BcrC of 113 aa. As can be easily calculated, the CadA proteins are more than three times larger than the BC efflux pump system; however, their main parts are located in the cytoplasm. The CadA proteins are composed of eight transmembrane helices. In turn, each SMR protein (BcrB and BcrC) is composed of four transmembrane α-helices [47], giving a final efflux pump composed of eight transmembrane helices. This means that the sizes of the transmembrane parts of these two pumps are more or less the same. This information seems to be crucial for observing these proteins in SERS spectrum with the same probability.
In this work, we compared the control strain 02/07 with a strain containing cadA2 gene (16/09) and a strain containing both cadA2 and bcrABC genes (01/07), all from the same genoserogroup (IVb). It is clear that it is possible to distinguish, with high accuracy, a strain containing bcrABC cassette from strains without it. The average SERS spectra of three L. monocytogenes strains from one genoserogroup (IVb) exhibit some differences (Fig. 5a). The highest changes can be seen for strain 01/07, in which one can observe a strong decrease in the intensity of the band at ~730 cm-1 and increased intensities of the bands at 1008, 1250, 1403, and 1583 cm-1. Strains 16/09 and 02/07 have very similar SERS spectra, but they exhibit a key difference in the band at 753 cm-1, which is absent in the case of strain 16/09 and present in the case of strain 02/07.
As seen in Fig. 5b, the calculated PC-1 and PC-2 values yield 88% of total variance for these two L. monocytogenes strains with the bcrABC cassette (red and blue marks) and without it (green marks) and illustrate their excellent differentiation. For better visualization of differentiation, especially between 16/09 and 02/07 samples, the PCA scores are presented in 3D (Fig. 5c; ESM Figs. S5, S6).
In the next step, we have checked whether the presence of cadA determinants (without bcrABC cassette) affects the SERS spectrum of bacteria. The control strain (02/07) with strains containing cadA1 (82/04) or cadA2 genes (16/09) have been compared. All strains where from the same genoserogroup (IVb). As one can notice in Fig. 6, the SERS spectra of all studied bacteria look very much alike. The only difference was the small peak located at ~753 cm-1, which was present in the case of strains 02/07 and 82/04 and absent in the case of the strain 16/09. For this reason it was not possible to distinguish these strains with high accuracy via PCA (ESM Fig. S7).
Finally, the same strains as discussed above (16/09, 02/07, and 82/04) were applied in new experimental conditions in order to check whether the cadA genes expression would be seen as the change of the SERS spectrum. To perform this approach, the strains 16/09 and 82/04 were grown on MH+HB broth supplemented with 75 μg/mL anhydrous cadmium chloride (Fig. 2). The obtained data were matched with 02/07 strain grown on MH+HB broth without supplementation, as it is sensitive to Cd2+ and will not grow on medium supplemented with cadmium chloride. As can be seen in Fig 7a, the averaged SERS spectra of three L. monocytogenes strains look remarkably different. The difference between the strains 02/07 and 16/09 in the form of the absence/presence of the band 753 cm-1 can still be seen. However, the spectrum of the strain 82/04 has changed a lot – we can see increased bands intensities at ~1221 cm, 1453, and 1583 cm-1. The band at 1221 cm-1 is associated with proteins in cell membrane and also with cytosolic proteins [48]. The band at 1453 cm-1 also originates from protein bands (umbrella mode of methoxyl [4] and C-H bending mode of structural proteins [49]). The bacteria bands at 753 cm-1 (symmetric breathing of tryptophan [50]) and 1583 cm-1 (C=C bending mode of phenylalanine [51]) originate from tryptophan and phenylalanine, respectively, two crucial amino acids in the bacterial proteins. This suggests that the observed spectral differences between analyzed strains come mainly from the different bacterial surface proteins.
The resulting PC-1 versus PC-2 scores calculated for the described SERS data give 91% of total variance (PC-1 plus PC-2). This demonstrates excellent differentiation of these strains with high accuracy. Figure 7b presents three separated clusters corresponding to the strains 16/09 (red), 82/04 (green), and 02/07 (blue) from one genoserogroup (IVb) of L. monocytogenes.
It should be highlighted that in Figs. 5 and 7 the obtained scores (in percentage values) of PC1 and PC2 are very similar and give together 88% and 91% variance, respectively. The main difference concerns the cluster/inter-score distances, which are larger in Fig. 7 and indicate a better distinction among studied samples.
Moreover, the validation of PCA method used for identification of L. monocytogenes at strain level for three food matrices was performed. In the first step, the PCA analysis for three strains, 16/09 (red), 82/04 (green), and 02/07 (blue) from one genoserogroup (IVb) of L. monocytogenes from selected food medium (three food samples were studied and a total 75 SERS spectra were collected; 25 SERS spectra for all studied strains) was applied to build the PCA model. Then the additional data of the test sample [external food sample (smoked salmon) with known strain identified by PCR method] were introduced into this model. The calculated PCA scores are included in Fig. S8 (see ESM) as asterisks. The test sample is located in the clusters of the model PC scores corresponding to particular strain of analyzed species. These results present the analytical potential of SERS technique combined with PCA analysis towards strain level bacteria identification.
In summary, this work demonstrates the possibility of detecting BC efflux pump in L. monocytogenes cell membrane and sheds new light on the opportunity offered by SERS technology in bacteria identification at the strain level. However, the selectivity manifested by the possibility of observing BC efflux pumps and the lack of opportunity to observe CadA proteins in bacteria grown on MH+HB without supplementation was somehow disturbing. Such results, however, could be well explained. It turns out that in spite of genomic proximity of cadA2 and bcrABC genes on pLM80, the cassettes mediating resistance to BC and to Cd2+ are not regulated by the same substrates. As proven previously by Elhanafi et al. in 2010, after the exposure of strains containing bcrABC cassette, increased bcrABC transcript levels are observed; however, these transcripts are also detected even in the absence of the disinfectant [32].
Interestingly, such results were not observed for cadA genes. Their expression is induced only in the presence of Cd2+ Zn2+ Pb2+ Bi3+, from which Cd2+ is the most powerful inducer [52]. This is connected with the fact that Cd2+-ATPase from L. monocytogenes can use Cd2+ as a co-substrate [53]. For this reason, the contribution of CadA proteins was seen in the SERS spectrum only in the case when bacteria were grown on medium supplemented with cadmium chloride (compare Figs. 6 and 7).
Previously, it was shown that the dominant molecular species giving their contribution to the SERS spectra of bacteria excited at 785 nm are the metabolites of purine degradation [42]. However, slight changes of the dominant SERS bands may be caused by the presence of the additional proteins/enzymes produced by bacterial cells, which can be concluded from the SERS experiments performed with E. coli strains. Premasiri et al. claimed that the SERS spectrum of E. coli 6757, which has the most different drug resistance profile from the other five measured E. coli strains, has also the most different SERS spectrum [17].
In the present study, some of the investigated bacterial strains were resistant to BC and cadmium or cadmium alone. The resistance mechanisms were associated with the presence of additional proteins in their cell membrane. Previous experiments showing the possibility of SERS-based bacteria identification did not consider what the molecular resistance mechanism of strains under study was. Hypothetically, this could be the reason for the inability of differentiation of all bacteria strains [17].