Kamini Singh1,2,3, Rajesh Gujju1,3, Sateesh Bandaru4, Sunil Misra1,3, Katragadda Suresh Babu2,3, Nagaprasad Puvvada1,3,5. 1. Applied Biology Division, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, Telangana, India. 2. Centre for Natural Products & Traditional Knowledge, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, Telangana, India. 3. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. 4. College of Materials and Environmental Engineering, Institute for Advanced Magnetic Materials, Hangzhou Dianzi University, Hangzhou 310018, China. 5. Department of Chemistry, Indrashil University, Rajpur, Mehsana 382715, Gujarat, India.
Abstract
Ag3PO4 nanostructures (APNs) containing silver (Ag metal; of the noble metal families) have the potential to exhibit enzyme-mimetic activity. A nanostructure shape, including its surface facets, can improve the bioactivity of enzyme mimicry, yet the molecular mechanisms remain unclear. Herein, we report facet-dependent peroxidase and oxidase-like activity of APNs with both antibacterial and biofilm degrading properties through the generation of reactive oxygen species. Cubic APNs had superior antibacterial effects than rhombic dodecahedral shapes when inhibiting Gram-positive and Gram-negative bacterial pathogen proliferation and biofilm degradation. A similar performance was observed for rhombic dodecahedral shapes, being greater than tetrahedral-shaped APNs. The extent of enzyme-mimetic activity is attributed to the facets {100} present in cubic APNs that led the peroxide radicals to inhibit the proliferation of bacteria and degrade biofilm. These facets were compared to rhombic dodecahedral APNs {110} and tetrahedral APNs {111}, respectively, to reveal a facet-dependent enhanced antibacterial activity, providing a plausible mechanism for shape-dependent APNs material enzyme-mimetic effects on bacteria. Thus, our research findings can provide a direction to optimize bactericidal materials using APNs in clinically relevant applications.
Ag3PO4 nanostructures (APNs) containing silver (Ag metal; of the noble metal families) have the potential to exhibit enzyme-mimetic activity. A nanostructure shape, including its surface facets, can improve the bioactivity of enzyme mimicry, yet the molecular mechanisms remain unclear. Herein, we report facet-dependent peroxidase and oxidase-like activity of APNs with both antibacterial and biofilm degrading properties through the generation of reactive oxygen species. Cubic APNs had superior antibacterial effects than rhombic dodecahedral shapes when inhibiting Gram-positive and Gram-negative bacterial pathogen proliferation and biofilm degradation. A similar performance was observed for rhombic dodecahedral shapes, being greater than tetrahedral-shaped APNs. The extent of enzyme-mimetic activity is attributed to the facets {100} present in cubic APNs that led the peroxide radicals to inhibit the proliferation of bacteria and degrade biofilm. These facets were compared to rhombic dodecahedral APNs {110} and tetrahedral APNs {111}, respectively, to reveal a facet-dependent enhanced antibacterial activity, providing a plausible mechanism for shape-dependent APNs material enzyme-mimetic effects on bacteria. Thus, our research findings can provide a direction to optimize bactericidal materials using APNs in clinically relevant applications.
An
array of antibiotics have been developed since the discovery
of penicillin and are necessary to medically manage diseases caused
by diverse bacterial infections. These modern antibiotics have transformed
the world of medicine and saved millions of lives and played a critical
role in advancing medicine and surgery recovery.[1,2] Emergence
of antibiotic resistance is a natural process and should occur only
after a significant duration of time. However, over-prescribing and
inappropriate use of antibiotics, including in agriculture as a means
of weight stimulation and veterinary treatment, accelerated a new
problem of bacterial resistance and multidrug resistance (MDR) in
the environment and clinics.[3] This global
issue is threatening generations of medical progress, and alternative
solutions for bactericidal options are necessary for various applications
to avoid MDR and provide alternatives for policy making.A significant
driver of bacterial resistance is the formation of
a heterogeneous and dynamic complex system of biofilms—densely
packed communities of microbial cells protected from environmental
degradation and oxidation by secretions of extracellular polymeric
substances (EPSs).[4] Moreover, EPSs act
as a physical barrier to effectively prevent the penetration of any
external physical or chemical agent, including antibiotics. Biofilms
are usually coupled with a devastating number of microbial infections,
such as chronic lung infections in cystic fibrosis and other pathophysiological
conditions, such as periodontitis and endocarditis. Prosthetic implants
and medical devices are very prone to colonies forming biofilms. Biofilms
can form on living or inert surfaces, making them a potential hazard
in surgical spaces and hospitals, where the routine use of bactericidal
agents encourages resistant biofilm formation.Medical implant
failure due to the formation of biofilms on implanted
devices causes device breakdown or else chronic-recurrent or lethal
infections.[5] Their treatment requires a
high dose of antibiotics and/or replacement of implanted devices with
high economic costs and elevated risk to the patients. Bacterial biofilms
can be very easily colonized on different medical devices, such as
ventricular assistance devices, dental implants, and orthopedic devices,
and are very difficult to treat.[6] Biofilms
contribute to the emergence of antibiotic resistance by slowing down
the distribution and penetrance of antibiotics, contributing to the
exacerbation of several diseases, such as tuberculosis, listeriosis,
and salmonellosis.[7] Such bacteria colonize
different kinds of niches in the body with variable EPSs, having several
inherent properties that protect them from the host immune system.[8] Resistance from MDR and/or biofilm adaptations
has been reported for two-thirds of the currently available antibiotics.[9]Chronic infections related to biofilms
and intracellular bacterial
pathogens are difficult to eradicate due to attenuated host immune
response and resistance to different antibiotics. If the problem of
antibiotic resistance persists, then treatment of common bacterial
infections could be lost in a practical sense within a generation.[10] Hence, there is an urgent need to develop novel
alternate approaches to conventional antibiotics to cope with the
crisis. Nanomaterials have recently received much attention due to
their extensive antibacterial properties. Various nanostructured materials
such as Ag, Au, Zn, Cu, Fe, ZnO, and TiO2 have demonstrated
biocidal activity.[11] Among these materials,
silver nanostructures have received considerable attention from centuries-old
attributions to antibacterial effects, relatively low cost, and stability.[12] However, the mechanisms by which nanostructures
eliminate pathogens have not been thoroughly investigated. It has
been proposed that the released Ag+ ions from nanostructures
can bind and destabilize the bacterial membrane surface, causing proton
leakage.[13] Comparatively, such low concentrations
of silver nanostructures are nontoxic to human and animal cells. In
this regard, silver/silver phosphate nanostructures are considered
less risky and less toxic to the environment.[14] In this context, recent developments in the field of nanotechnology
have created immense opportunities to design new biomaterials and
surfaces with bactericidal and antibiofilm properties. Nanostructures
entering the bacterial cytoplasm can interfere with different metabolic
substrates and hinder their normal pathway for survival. Ag3PO4 nanostructures (APNs) with different facets must be
engineered to improve their properties and make them suitable for
therapeutic use. Currently, silver orthophosphate (Ag3PO4) nanostructures are being developed for their enhanced enzyme-mimetic
catalytical properties.[15] In the present
study, we have synthesized APNs with different exposed facets and
effectively established their antibacterial activity against Gram-positive
and Gram-negative bacteria with enhanced capacity for biofilm erosion.
Materials and Methods
Materials
Silver
nitrate (AgNO3; 99.9%, Spectrochem), ammonium nitrate (NH4NO3, 99%, Ranbaxy), potassium hydrogen phosphate
(K2HPO4, 99.0%, Himedia), sodium hydroxide (NaOH,
98.2%,
Merck), and ethanol (C2H5OH, 99.9%, Merck) were
procured. All chemicals were utilized as received without further
purification, unless otherwise specified. Furthermore, ultrapure distilled
and deionized water (18.2 MΩ) was used to prepare all solutions.
All culture growth media were obtained from Himedia Laboratories Pvt.,
Mumbai, India.
Synthesis of APNs with
Tunable Shapes
The synthesis of APNs and tuning of cubic
(CU), rhombic dodecahedron
(RD), and tetrahedral (TH) APNs was reported by Huang et al.(16) In brief, CU, RD, and TH APNs were
prepared using 8.93, 8.42, and 1.887 mL of deionized water, respectively,
added in vials, followed by the addition of 100, 600, and 218.8 μL
of NH4NO3 (0.4 M) and 180, 180, and 393.8 μL
of NaOH (0.2 M) solutions and further introduction of 400, 400, and
500 μL AgNO3 (0.05 M) in the respective vials under
vigorous stirring, which resulted in the formation of the [Ag(NH3)2]+ complex in ∼10 min. Finally,
after the addition in the respective vials of 400 and 400 μL
of K2HPO4 (0.1 M) and 7000 μL of K2HPO4 (0.7 M) to the complex solution under continuous
stirring for 2 min, the solution color changed from colorless to light
yellow, indicating the formation of CU-, RD-, and TH-shaped APNs,
respectively. Unreacted chemicals were then removed through centrifugation
at 7500 rpm for 10 min and washed twice with deionized water and 95%
ethanol having a 1:1 (v/v) ratio; furthermore, the collected APNs
were then dispersed into ethanol and stored at 4 °C until further
use.
Characterization of the APNs
The
resultant APNs phase and morphology were determined by powdered X-ray
diffraction (XRD, Malvern PANalytical BV, Almelo, The Netherlands)
at a scan rate of 0.018 in the range of 15–90° using Cu
Kα radiation. The nanomaterial shape, size, and morphology were
analyzed using a JSM 7610F Schottky field emission scanning electron
microscope (JEOL USA, Inc., MA, USA. The functional groups were identified
by Fourier transformation infrared (FTIR, Bruker, Alpha, PN: 1010951/07,
SN: 200470) spectroscopy. Shape-dependent catalytic peroxidase activity
was determined using the 3,3,5,5-tetramethylbenzidine (TMB) and ascorbic
acid (AA) assay using a UV–visible spectrophotometer (Shimadzu,
model UV-3600). The release of silver ions from the APNs was quantified
by inductively coupled plasma optical emission spectrometry (ICP–OES)
(icap-6500 DUO-Thermo Fisher Scientific).
Shape-Dependent
Oxidase-like Catalytical Activity
The enzyme-mimetic oxidase
activity of the APNs and their ability
to produce reactive oxygen species (ROS) in the dispersed aqueous
phase were assessed through AA oxidation.[17] The produced ROS from shaped APNs oxidize the AA, which results
in the production of dehydroascorbic acid with quantifiable absorption
band maxima at 266 nm. The dispersed nanostructures were serially
diluted with a phosphate-buffered saline (PBS) (pH 7.4) solution over
a range of concentrations: 10, 20, and 40 μg/mL, followed by
the addition of AA [PBS-dissolved AA] to a final concentration and
volume of 60 μM and 1 mL, respectively. Furthermore, the resultant
dispersions were incubated at 37 °C for 1 h and then centrifuged
at 7000 rpm. After centrifugation, the supernatant solutions were
collected and subjected to UV–visible absorption spectroscopy
to determine the APNs’ shape-dependent catalytical performance.
The reported results are from two independent trials.
The shape-dependent peroxidase-like mimetic activity
of the APNs was assessed through the TMB assay, as described by Shen et al. with minor modification.[18] The TMB solution was made with a final concentration of 2 mg/mL
using an acetic acid (NaAc/HAc) buffer at a pH around 5.2. To this,
1 μL of 10 mM H2O2 was added, followed
by the addition of 5–10 μg of shaped APNs. All assays
were performed in triplicate.
The formation of hydroxyl
radicals was monitored by fluorescence using terephthalate (TA), which
reacts with hydroxyl radicals to form fluorescent 2-hydroxy terephthalate.[19] TA (5 mM), H2O2 (10 mM)
+ TA, and shaped APNs + TA in the presence and absence of H2O2 samples were monitored to determine the formation of
hydroxyl radicals. The resultant samples were subjected to incubation
at room temperature for 3 h. After completion of incubation, the mixtures
were removed and the fluorescence was quantified at an excitation
wavelength of 285 nm and an emission wavelength of 420 nm.
Biological Evaluation
Bacterial Strains
Two Gram-positive
and two Gram-negative bacterial strains were evaluated: Staphylococcus aureus (MTCC 96), K.
planticola (MTCC 530), E. coli (MTCC 739), and M. luteus (MTCC 2470)
obtained from the Microbial Type Culture Collection and Gene Bank
(MTCC), CSIR-Institute of Microbial Technology, Chandigarh, India.
Bacterial Culture Growth
All four
strains were individually plated on Mueller–Hinton agar (MHA)
plates and cultured in Mueller–Hinton broth (MHB) media for
24 h at 37 °C. After picking up a single colony of the respective
bacteria from an MHA plate, the bacteria were seeded/incubated in
10 mL of MHB culture media at 37 °C for 12 h with 150 rpm agitation.
Furthermore, the bacterial concentration was empirically determined
by density absorbance at 600 nm at an optical density of 0.4–0.6
(OD600).
Antibacterial Activity
Assay
As reported
by Wang et al.,[20] the
antibacterial properties of the APNs were evaluated by the microdilution
method. Rifampicin (positive control) and a saline solution (negative
control) were used in the microdilution method in MHB media for all
four bacterial strains. All of the experiments were carried out using
a 96-well plate. Following this, the individual grouping of APNs in
the first well of each group with the highest concentration (500 μg/mL)
was carried out; each well of each group was supplemented with 100
μL of the MHB medium. The solutions were mixed, and 100 μL
of the sample solution was transferred from the first well of each
group to the second, resulting in a twofold dilution. Except for the
last two wells, which served as negative controls, similar dilutions
were used. Bacterial strains with 106 CFU/mL in MHB media
and their respective wells were inoculated with 10 μL of pathogen
suspensions and incubated at 37 °C for 18 h. The treatments were
carried out in triplicate, and the absorbance was calculated using
an Infinite M200 Proplate reader (Tecan Group Ltd. Mannedorf,
Switzerland).
Colony Counting Antibacterial
Activity
The bacterial suspensions (200 μL, 1 ×
106 CFL/mL)
were mixed with APNs [MIC to inhibit 50% of growth (MIC50)] in 1.5 mL centrifuge tubes. As a control, sterile saline was used
instead of APNs. Then, 200 μL of the bacterial suspensions was
streaked on Luria–Bertani agar plates and subjected to incubation
at 37 °C for 24 h.[20] Furthermore,
the formation of colony units was counted to compare shape-dependent
APNs antibacterial activity.
Biofilm
Inhibition Activity
The formation
of mature biofilms was achieved by inoculating 96-well plates with
20 μL of the bacterial suspension (1 × 107 CFU/mL)
and 180 μL of the MHB medium at 37 °C for 48 h. The culture
medium was aspirated from wells and washed three times with 1×
PBS after 48 h of incubation.[21] The mature
biofilm that formed was visible on the well’s rim. The biofilms
were then incubated for 24 h at 37 °C in 200 μL of the
MHB medium containing APNs at a twofold dilution in all wells of the
96-well plate except the last two. The wall-adhering biofilms were
washed twice with sterile 1× PBS after the unanchored cells and
media were removed. Crystal violet (1%, 200 μL per well) was
used to stain the adherent biofilms for 40 min at room temperature.
Both pathogenic strain crystal violet-stained biofilms were washed
with 1× PBS to eliminate the excess stain and allowed to dry
overnight before being solubilized in 120 μL of 90% ethanol.
The absorbance was measured at OD600 for quantification
of the biofilm density. All studies were carried out in triplicate.
ROS Assay
The nitroblue tetrazolium
(NBT) assay was used to estimate intracellular ROS accumulation in
bacterial strains due to the impact of APNs. The bacteria were cultured
and diluted to a McFarland standard of 0.5 before being suspended
in a 96-well microtiter plate. The bacterial cells were stained with
NBT (0.1% in PBS) at 37 °C for 40 min after being treated with
various formed nanostructures. As a control, the cells that had not
been treated were used. A spectrophotometer set to 570 nm was used
to calculate the intracellular ROS levels. All of the tests were done
in triplicate, and the standard deviation was calculated using the
mean value.
Bacterial Morphology by
FESEM
The
bacteria were cultured in MHB for 48 h at 37 °C, then treated
with APNs, and incubated for 3 h, with untreated cells serving as
a control. After the treatment, the corresponding cells were collected
and centrifuged for 10 min at 6000 rpm. The cells were washed in 1×
PBS before being fixed with 2.5% glutaraldehyde and incubated at 4
°C overnight. The cells were dehydrated using a graded ethanol
solution after three PBS washes (10, 30, 70, and 100%).[19]
Determination of the Biofilm
Dry Weight
Lee et al. calculated the dry
weight of bacterial
biofilm.[22] For the development of mature
biofilms, all bacterial strains were cultured in six-well plates and
treated with APNs at 37 °C for 48 h without shaking. As a positive
control, an untreated bacterial culture was used. The suspension of
cells was discarded after 48 h, and they were rinsed in 1× PBS.
Biofilm-forming cells were removed by pipetting vigorously two times.
The biofilm cells were collected using a 0.22 μm-pore-size preweighed
filter syringe. These filters were then dried for 8 h at 60 °C,
and the dry weight of the cells was determined.
Confocal Laser Scanning Microscopy
The bacterial strain’s
cell membrane integrity and viability
were evaluated by staining them with acridine orange (AO) and propidium
iodide (PI) dye using confocal laser scanning microscopy (CLSM).[23] First, the bacteria were cultured in MHB in
CLSM dishes (SPL Scientific, Gyeonggi-do, South Korea) for 48 h at
37 °C; thereafter, the bacterial strains were treated with APNs
for 12 h, and the untreated group was used as the control. 2 μL
of each of the AO and PI mixture was added and incubated for 20 min
at room temperature, and then they were visualized using an Eclipse
Ti confocal laser scanning microscope (Nikon Corporation, Tokyo, Japan)
interfaced with an argon-ion laser at the green and red channels.
The images were analyzed using Ti Control software ver. 4.4.4, and
the scale bar on the image represents a distance of 5 μm.
Theoretical Modeling
First-principles
calculations were carried out to evaluate the distinct catalytic activities
of the APNs, and all calculations were carried out using the Vienna
ab initio simulation package.[24] The Perdew–Burke–Ernzerhof[25,26] exchange–correlation functional was employed under the framework
for the generalized-gradient approximation. The projector-augmented
wave potential was employed for the ion-electron terms, with the valence
configurations of Ag (s1d10), P (s2p3), and O (s2p4), according to
the implementation of Kresse and Joubert.[27] All surface slabs, reactants, and complexes were optimized using
an energy cutoff of 520 eV. The Ag3PO4(100),
Ag3PO4(110), and Ag3PO4(111) surfaces were modeled; for geometry optimization, all layers
of the (100), (110), and (111) surfaces were fully relaxed without
any constraints; the conjugated gradient algorithm was employed. Structural
optimization was performed until the twin convergence criteria of
energy and force reached 1 × 10–5 eV and 0.02
eV/Å, respectively. Brillouin-zone integrations were performed
using k-point grids using a 4 × 4 × 1 mesh
for relaxation of the slabs. A period slab with a vacuum space of
15 Å in the direction of the surface was normal to avoid the
interactions.
Statistical Analysis
All of these
studies were done in triplicate. The mean values were used to represent
the results. In addition to respective controls, a one-way analysis
of variance (ANOVA) and a two-way ANOVA were used to assess the statistical
significance.
Results
and Discussion
The synthesis of CU, RD, and TH APNs was carried
out using aqueous
solutions of NH4NO3, NaOH, AgNO3,
and K2HPO4 by incubating them at room temperature
under dark conditions as described by Huang et al.(15) Adjusting the reagent amounts allows
tuning of the nanostructure shape.[15]Figure A–C depicts
the FESEM morphological images of the synthesized APNs shapes after
tuning to CU, RD, and TH APNs. All these samples exhibited facets
of uniform shape, size, and morphology for each APN type. In this
study, the TH facet had a curved contour due to the presence of shorter
tips in the facets in comparison with regular TH.[15] Moreover, CU APNs were exclusively enclosed by the {100}
surface facet.[14] The RD and TH APNs were
bound by enclosed surface facets {110} and {111}, respectively.[15] Furthermore, the CU, RD, and TH APNs had similar
sizes from ∼675 to 800 nm.
Figure 1
FESEM images of CU- (A), RD- (B), and
TH- (C) shaped APNs and powder
XRD patterns of APNs, where the black line represents the CU, the
red line represents the TH, and the blue color line represents the
RD shape (D), and the respective FTIR spectra are depicted in (E).
FESEM images of CU- (A), RD- (B), and
TH- (C) shaped APNs and powder
XRD patterns of APNs, where the black line represents the CU, the
red line represents the TH, and the blue color line represents the
RD shape (D), and the respective FTIR spectra are depicted in (E).Figure D illustrates
the powdered XRD pattern of the APNs and is consistent with a standard
pattern of Ag3PO4 (JCPDS no. 06-0505).[14] However, notable changes were observed in the
orientations and their respective dimensions, resulting in peak intensity
elevation and a conspicuous reflected surface facet. More specifically,
in the case of CU APNs, a reflection peak diffraction (200) was remarkably
enhanced by the intensity in comparison with RD- and TH-shaped APNs,
confirming that the CU APNs are primarily composed of the {100} crystalline
plane.[22] Similarly, RD- and TH-shaped APNs
exhibited enhanced reflection diffractions of (110) and (222), respectively,
suggesting that their surface is dominated by the {110} and {111}
crystalline planes.[14,15] Furthermore, we assessed the
PO43– functional groups of these samples
and confirmed (Figure E) the depicted peaks in the range of 890–1100 cm–1 by FTIR spectroscopy, consistent with those that have been previously
reported.[28] Functional group analysis of
the APNs was carried out using the FTIR spectroscopy technique. The
bands appeared from 541 to 559 and from 988 to 1074 cm–1 due to the presence of asymmetric O=P–O and P–O–P
bending and stretching vibrations, respectively. The bands at 1663–1671
and 3010–3370 cm–1 are due to the presence
of bending and stretching vibrations from water. Furthermore, the
weak intensified peaks at 2346–2398 cm–1 are
due to the presence of hydrogen bonds between water and phosphate
functional groups.[29,30] Moreover, various parameters
such as particle size, shape, and morphology can influence the nanostructured
materials’ catalytic activity. Therefore, the shape tuning
of various APN materials may result in superior catalytic performance
due to the presence of surface facets.Oxidase-like activity
was screened for the various APNs shapes
by using a natural, physiologically relevant, antioxidant substrate,
that is, AA (vitamin C), which exhibited an absorption maximum at
266 nm, which dissipates upon oxidation.[17,19] The efficient antioxidant agent of this AA biomolecule played an
important role in the cyclical redox reactions occurring in the cellular
system.[17] After incubation of these nanostructures
with the AA probe in PBS, the shaped nanostructures’ catalytic
activity was observed by reducing the AA absorbance maxima at 266
nm and it varied depending on the extent of the active facets of the
APNs, and similar results were observed by Fang et al. (Figure A–C).[19] These results indicate that the production of
ROS varied with the shape (i.e., active facets present
in the nanocrystal) of the APNs that make contact with the substrate
AA. Typically, the CU APNs exhibited higher catalytical activity than
the RD and TH APNs to oxidize AA. Interestingly, the catalytic oxidation
process generates hydrogen peroxide.[17] Notably,
an increased level of H2O2 was detected in the
presence of APNs in comparison with AA (control). A significantly
higher amount of H2O2 was generated in the case
of CU APNs, and its level was higher than in the case of RD and TH
APNs, and a similar higher performance was observed between RD- and
TH-shaped APNs.
Figure 2
UV absorption spectra of time dependence-catalyzed AA-measured
oxidase-like properties in the presence of (A) CU, (B) RD, and (C)
TH shape-dependent APNs, where (a) 0, (b) 5, (c) 15, (d) 30, (e) 35,
and (f) 40 min. Peroxidase property of the APNs-monitored TMB probe
formation of intermediate of TMB+ in the presence of H2O2 and (D) CU, (E) RD, and (F) TH shapes of APNs, whereas
(a) 0, (b) 15, and (c) 20 min respective color vials are presented
in the inset.
UV absorption spectra of time dependence-catalyzed AA-measured
oxidase-like properties in the presence of (A) CU, (B) RD, and (C)
TH shape-dependent APNs, where (a) 0, (b) 5, (c) 15, (d) 30, (e) 35,
and (f) 40 min. Peroxidase property of the APNs-monitored TMB probe
formation of intermediate of TMB+ in the presence of H2O2 and (D) CU, (E) RD, and (F) TH shapes of APNs, whereas
(a) 0, (b) 15, and (c) 20 min respective color vials are presented
in the inset.We then investigated the intrinsic
peroxidase-like properties of
the shape-dependent APNs, utilizing the peroxidase substrate TMB-catalyzed
oxidation with H2O2. During the catalytic redox
reaction, the substrate oxidized into TMB+ (one-electron
oxidation intermediate) and exhibited a characteristic band around
652 nm.[19]Figure D–F illustrates this compared with
the control, and time-dependent augmentation of the absorption spectral
band at 652 nm implied that the APNs are capable of catalyzing the
oxidation of the TMB substrate via H2O2, indicating
the generation of an intermediate product (characteristic light- and
dark-blue color and inset: colored change solution). These results
indicate the peroxidase property of the APNs. Notably, the amount
of substrate intermediate produced by the CU APNs was significantly
greater than that produced by RD and TH APNs. Moreover, the RD APNs
had the similar potential to form TMB intermediates but less than
CU APNs, yet more than TH APNs. The peroxidase property is greater
for the {100}-faceted CU APNs with significantly higher efficacy to
generate the intermediate products than {110} and {111} facets of
the RD and TH APNs. As expected, a similar analysis corroborates the
RD facet, which has higher and lower efficacy than TH and CU APNs,
respectively, for peroxidase-like activity.The APNs were then
shown to be capable of converting H2O2 species
into hydroxyl ion (•OH) free
radicals, which might occur due to the exhibited peroxidase-like property.
To corroborate this mechanism, TA was used as a substrate to monitor
the formation of (•OH), which would react to form
2-hydroxy TA (TAOH) and exhibit bright fluorescence.[19] Fluorescence analysis identified the •OH and corresponding samples’ fluorescence spectra, as depicted
in Figure S1. The intensified fluorescence
was observed in the presence of APNs, TA, and H2O2, whereas fluorescence was not observed in the absence of either
H2O2 or APNs. This in turn is an indication
of •OH species generation from H2O2 catalyzed by the APNs (data not shown). Moreover, this fluorescence
intensity corroborates the fact that the facet {100} of CU APNs exhibited
more efficiency to generate •OH than the RD {110}
and TH {111} facets present in those APNs. Similarly, the RD facet
{110} present in the APNs exhibited higher efficiency for the production
of •OH than the TH facet {111} APNs.
Antibacterial Activity of Different Facet
Nanostructures of the APNs
We have established that the APNs
of different facets show oxidase- and peroxidase-like properties by
successively generating •OH radicals, which indicates
potential for biocidal activity. To confirm this, we evaluated the
antibacterial properties using two representative strains of Gram-negative
(E. coli and K. planticola) and Gram-positive (S. aureus and M. luteus) bacteria and performed a microdilution
method to determine their MIC and minimum bactericidal concentration
(MBC) value. We observed that different APNs efficiently inhibited
the growth and proliferation of all representative Gram-negative and
Gram-positive bacterial strains at different concentrations (Figure S2). Interestingly, a facet-dependent
antibacterial activity was observed where the CU APNs showed better
growth inhibition as compared to RD and TH APNs in all representative
bacterial strains (Table ). We observed that CU APNs inhibited the growth of E. coli and S. aureus at 3.9 μg/mL for both as compared to the rifampicin positive
control, which was required at concentrations of 31.25 and 15.62 μg/mL
for E. coli and S. aureus, respectively (Figure ). This shows that the CU APNs have superior biocidal activity against
both Gram-negative and Gram-positive bacteria as compared to a therapeutically
proven antibiotic (rifampicin) and might be considered similarly for
use as a broad-spectrum antibiotic. The results of the MBC were consistent
with those of the MIC, thereby indicating that the APNs had facet-dependent
antibacterial properties (Table ). To avoid any misinterpretation in the evaluation
of antibacterial properties due to turbidity in the broth medium,
we also checked the antibacterial activity of different APNs using
an agar medium. In that case, different agar plates of E. coli and S. aureus having a concentration of 103 CFU mL–1 were evaluated for visualized colonies on a cultured agar plate.
We observed dense colony formation in the control plates (bacterial
agar plates without any treatment with APNs after 12 h). However,
APNs-treated plates showed facet-dependent antibacterial activity
and negligible colony formation. In the case of E.
coli, no colonies were observed in plates treated
with the CU APNs and RD APNs, while a single colony was observed in
the TH APNs-treated plate. Similar results were observed in the S. aureus-cultured plates, depicting their facet-dependent
antibacterial activity (Figure S3). Furthermore,
the excellent superior catalytic activity is due to the release of
silver ions from CU, RD, and TH APNs that were incubated in pathogen
broth media subjected to ICP–OES. In the case of E. coli broth media, a higher release of silver ions
was observed for CU APNs and their concentration was found to be 12.08
mg/L, whereas the leached silver ion concentration decreased to 4.789
mg/L for the RD APNs, and even lower to 3.403 mg/L for the TH APNs.
A similar concentration trend for the CU, RD, and TH APNs was exhibited
due to the release of silver ions, and the concentrations were found
to be 15.59, 12.32, and 2.241 mg/L, respectively, for S. aureus. These results suggested that the release
of silver ions from nanostructures played a crucial role against antibacterial
response.[31,32]
Table 1
Antimicrobial Activity of Shape-Dependent
APNsa
MIC (μg/mL)
Gram-negative
Gram-positive
APN
shape
E.cb
K.pc
S.ad
M.le
CU
3.90
7.81
3.90
3.90
RD
7.81
15.62
7.81
7.81
TH
15.62
31.25
31.25
15.62
rifampicin
31.25
15.62
15.62
7.81
MIC (μg/mL) of the shape-dependent
APNs that inhibit the visible growth of bacterial strains.
E. coli.
K. planticola.
S. aureus.
M. luteus and rifampicin/control.
Figure 3
MIC to inhibit 50% of growth (MIC50) by shape-dependent
APNs compounds (CU, RD, and TH APNs), which inhibit the visible growth
of Gram-negative (A) E. coli and (B) K. planticola and Gram-positive (C) M. luteus and (D) S. aureus. Data are expressed as statistically significant (p* ≤ 0.05, p** ≤ 0.005, and p*** ≤ 0.0001).
Table 2
MBC (μg/mL) of Shape-Dependent
APNs-Limited Growth of Bacterial Strains
MBC (μg/mL)
Gram-negative
Gram-positive
APN shape
E.ca
K.pb
S.ac
M.ld
CU
7.81
15.62
7.81
7.81
RD
15.62
31.25
15.62
15.62
TH
31.25
62.50
62.50
31.25
rifampicin
62.50
31.62
31.62
15.62
E. coli.
K. planticola.
S. aureus.
M. luteus and rifampicin/control.
MIC to inhibit 50% of growth (MIC50) by shape-dependent
APNs compounds (CU, RD, and TH APNs), which inhibit the visible growth
of Gram-negative (A) E. coli and (B) K. planticola and Gram-positive (C) M. luteus and (D) S. aureus. Data are expressed as statistically significant (p* ≤ 0.05, p** ≤ 0.005, and p*** ≤ 0.0001).MIC (μg/mL) of the shape-dependent
APNs that inhibit the visible growth of bacterial strains.E. coli.K. planticola.S. aureus.M. luteus and rifampicin/control.E. coli.K. planticola.S. aureus.M. luteus and rifampicin/control.To determine if the APNs are capable of eliminating the formation
of bacterial biofilm (EPS matrix). We observed that a detectable biofilm
was generated in the absence of APNs (Figure ) and that no noticeable changes in the biofilm
were found when the APN concentrations were less than 3.9 μg/mL
in most samples. However, biofilm was eliminated when the concentration
of the APNs reached 31.25 μg/mL. At this concentration, the
biofilms no longer showed any intense crystal violet staining, which
indicates the successful removal of the biofilm (Figure ). Moreover, we found that
the different APNs were not equivalent in biofilm eradication at particular
concentrations (Figure ). This also reflected the facet-dependent antibacterial activity
against biofilm elimination.
Figure 4
Influence of shape-dependent APNs on the formation
of biofilms:
(A) crystal violet-stained biofilm of E. coli alone (control), biofilm treated with CU-, RD-, and TH-shaped APNs;
(B) color of crystal violet-stained biofilm of S. aureus alone (control) and those treated with CU-, RD-, TH-shaped APNs.
Figure 5
Antibiofilm activity of CU-, RD-, and TH-shaped APNs at
different
concentrations. Biofilm inhibition of compounds against Gram-negative
(E. coli and K. planticola) and Gram-positive (M. luteus and S. aureus). p > 0.05 indicates
nonsignificant
variance (ns), p < 0.05 indicates significant
variance (*), p < 0.01 indicates significant variance
(**), and p < 0.001 indicates significant variance
(***) between the variant concentrations of APNs with the untreated
group (control) by two-way ANOVA.
Influence of shape-dependent APNs on the formation
of biofilms:
(A) crystal violet-stained biofilm of E. coli alone (control), biofilm treated with CU-, RD-, and TH-shaped APNs;
(B) color of crystal violet-stained biofilm of S. aureus alone (control) and those treated with CU-, RD-, TH-shaped APNs.Antibiofilm activity of CU-, RD-, and TH-shaped APNs at
different
concentrations. Biofilm inhibition of compounds against Gram-negative
(E. coli and K. planticola) and Gram-positive (M. luteus and S. aureus). p > 0.05 indicates
nonsignificant
variance (ns), p < 0.05 indicates significant
variance (*), p < 0.01 indicates significant variance
(**), and p < 0.001 indicates significant variance
(***) between the variant concentrations of APNs with the untreated
group (control) by two-way ANOVA.The result of biofilm elimination by the different APNs was further
reinforced by the evaluation of the dry weight of different biofilms
formed by representative Gram-negative and Gram-positive bacteria.
We found that the dry weight of different biofilms decreased variably
with different APNs (Figure ). The extent of decrease was significantly higher in the
case of the CU APNs, consistent with the previous findings. This result
suggests that the CU APNs could be used as a potent antibacterial
agent for the elimination of different biofilms formed by various
strains of bacteria.
Figure 6
ROS quantification in Gram-negative (E.
coli and K. planticola) and Gram-positive
(M. luteus and S. aureus) bacteria treated with CU-, RD-, and TH-shaped APNs. Rifampicin
was used as a positive control, and untreated strains were used as
a negative control. p indicates a significant difference
between the APNs ROS with the untreated group (negative control); p > 0.5 nonsignificant variance (ns), p* ≤ 0.05, p** ≤ 0.005, and p*** ≤ 0.0001 by one-way ANOVA.
ROS quantification in Gram-negative (E.
coli and K. planticola) and Gram-positive
(M. luteus and S. aureus) bacteria treated with CU-, RD-, and TH-shaped APNs. Rifampicin
was used as a positive control, and untreated strains were used as
a negative control. p indicates a significant difference
between the APNs ROS with the untreated group (negative control); p > 0.5 nonsignificant variance (ns), p* ≤ 0.05, p** ≤ 0.005, and p*** ≤ 0.0001 by one-way ANOVA.To further examine the biocidal properties of APNs, the bacteria
were stained with fluorescence-based dyes such as AO and PI to measure
bacterial viability. The outer surface of dead bacteria becomes permeable
to PI, turning red. We observed that bacteria without treatment with
any APNs grow successfully and appear intense green due to the fluorescence
of AO. However, different APNs-treated bacteria appear red due to
biocidal activity (Figure ). The intensity of red fluorescence was highest with the
treatment of CU APNs compared to that with the RD and TH APNs in the
biofilm of E. coli and S. aureus bacteria (Figure ). These results further support the facet-dependent
antibacterial activity of the APNs.
Figure 7
Dry weight percentage of biofilm for Gram-negative
(E. coli and K. planticola) and Gram-positive (M. luteus and S. aureus) bacteria treated with CU-, RD-, and TH-shaped
APNs. Rifampicin was used as a positive control, and untreated strains
were used as a negative control. p > 0.05 indicates
nonsignificant variation (ns), and p < 0.001 indicates
significant variation (***) in comparison to the untreated group (control)
by two-way ANOVA.
Figure 8
Confocal images of the
biofilm formed by Gram-negative (a–d) E. coli and Gram-positive (e–h) S. aureus after 24 h of growth. (a) Live cells of E. coli without treatment showed an intact cell membrane;
(b–d) E. coli coincubated with
CU-, RD-, and TH-shaped APNs induce lysis of the bacterial cell membrane.
(e) Live cells of S. aureus without
treatment showed an intact cell membrane; (f–h) S. aureus coincubated with CU-, RD-, and TH-shaped
APNs induce lysis of the bacterial cell membrane.
Dry weight percentage of biofilm for Gram-negative
(E. coli and K. planticola) and Gram-positive (M. luteus and S. aureus) bacteria treated with CU-, RD-, and TH-shaped
APNs. Rifampicin was used as a positive control, and untreated strains
were used as a negative control. p > 0.05 indicates
nonsignificant variation (ns), and p < 0.001 indicates
significant variation (***) in comparison to the untreated group (control)
by two-way ANOVA.Confocal images of the
biofilm formed by Gram-negative (a–d) E. coli and Gram-positive (e–h) S. aureus after 24 h of growth. (a) Live cells of E. coli without treatment showed an intact cell membrane;
(b–d) E. coli coincubated with
CU-, RD-, and TH-shaped APNs induce lysis of the bacterial cell membrane.
(e) Live cells of S. aureus without
treatment showed an intact cell membrane; (f–h) S. aureus coincubated with CU-, RD-, and TH-shaped
APNs induce lysis of the bacterial cell membrane.These results indicate that the MIC and MBC for different facets
of CU, RD, and TH APNs vary significantly in the Gram-negative and
Gram-positive strains of bacteria, but all three APNs exert biocidal
activity in terms of planktonic and biofilm elimination. This effect
differential can be explained based on the morphological differences
in the cell wall of each strain.[33] Usually,
there is an outer membrane in the Gram-negative bacteria that enables
resistance at a morphological level that provides better protection
against different antibiotics and chemicals as compared to Gram-positive
bacteria.[34] On the other hand, the cell
wall of Gram-positive bacteria is thicker as compared to that of Gram-negative
bacteria, offering greater resistance to membrane stability versus permeability. Therefore, our results emphasize the
morphological and physiological differences of the cell membrane of
Gram-positive and Gram-negative bacteria.To determine membrane
damage and cell membrane integrity, scanning
electron microscopy was used. The sub-MIC concentrations of different
APNs were used to treat the biofilm formed by E. coli and S. aureus bacteria; each strain
displayed characteristic rod-like and spherical morphologies, respectively.
However, both bacterial cells were damaged and disrupted after the
treatment with APNs (Figure ). The extent of damage to the morphology was significantly
higher in the CU APNs-treated bacterial biofilm as compared to biofilms
treated with other APNs. These morphological changes potentiate the
antibacterial effect of CU APNs.Due to the loss of membrane
integrity, the APNs may cross through
the damaged membrane and gain entry into the bacterial cytoplasm,
whereupon they interact with the internal cellular environment and
produce oxidative stress by generating ROS.[18,35] We determined the intracellular level of ROS produced by the different
APNs in the Gram-negative and Gram-positive bacterial strains. ROS
generation is primarily responsible for oxidative stress and causes
oxidative damage to the different cellular organelles of bacteria.
ROS is a broad term for all types of chemical molecules that have
very high positive redox potential, and we demonstrate that the primarily
antibacterial activity of the APNs is from oxidative stress by catalyzed
ROS formation.[34] The amount of ROS generated
in E. coli, K. planticola, M. luteus, and S.
aureus after the treatment with different APNs was
determined by the NBT assay. We observed that all types of APNs generate
ROS as compared to the control group (Figure ). However, the extent of ROS generation
is found to be a facet-dependent phenomenon.[36] The CU APNs showed more absorbance than the RD APNs. The absorbance
of TH APNs lay in between those of the CU and RD APNs. Moreover, the
same pattern of absorbance was observed for all three different kinds
of facets of the APNs in four different types of bacteria used in
our study. Hence, we have used the same concentration of NBT throughout
the assay. Therefore, these absorbance values reflect that more NBT
is being redox-reduced in the case of CU APNs, hence producing more
ROS in the treated bacteria than RD and TH APNs. There was a significantly
lower amount of ROS generated in bacteria without any APNs treatment,
which was considered a negative control in this study. The basal level
of absorbance by the negative control group was assumed to reflect
the endogenous ROS. In contrast, the ROS generated in the different
groups of bacteria treated with rifampicin was considered the positive
control. The CU APNs generate around 6 times more ROS in both Gram-positive
and Gram-negative bacteria as compared to the negative control. However,
the extent of ROS generation by the RD APNs is different in both Gram-positive
and Gram-negative bacteria. Similar results as RD APNs were also observed
in the case of TH APNs, which generated the least amount of ROS in
treated bacteria as compared to the negative control. On the basis
of the above observations, we infer that the CU APNs might be used
as a potential antibacterial agent against Gram-positive and Gram-negative
bacteria.
Figure 9
SEM images of biofilms formed by (a–d) E.
coli and (e–h) S. aureus untreated and those treated with CU-, RD-, and TH-shaped APNs. (a)
Untreated E. coli as the control with
the biofilm matrix and undamaged cell morphology, (b) E. coli treated with CU APNs, (c) E. coli treated with RD APNs, (d) E. coli treated with TH APNs, showing the damaged
cell morphology and disrupted biofilm with CU > RD > TH effects.
(e)
Untreated S. aureus as the control
with an intact biofilm and undamaged cell morphology, (f) S. aureus treated with CU APNs, (g) S. aureus treated with RD APNs, and (h) S. aureus treated with TH APNs showing a damaged
cell morphology and disrupted biofilm with CU > RD > TH effects.
SEM images of biofilms formed by (a–d) E.
coli and (e–h) S. aureus untreated and those treated with CU-, RD-, and TH-shaped APNs. (a)
Untreated E. coli as the control with
the biofilm matrix and undamaged cell morphology, (b) E. coli treated with CU APNs, (c) E. coli treated with RD APNs, (d) E. coli treated with TH APNs, showing the damaged
cell morphology and disrupted biofilm with CU > RD > TH effects.
(e)
Untreated S. aureus as the control
with an intact biofilm and undamaged cell morphology, (f) S. aureus treated with CU APNs, (g) S. aureus treated with RD APNs, and (h) S. aureus treated with TH APNs showing a damaged
cell morphology and disrupted biofilm with CU > RD > TH effects.In general, the APNs crossed the cell membrane
to become intracellular
and generated the ROS inside the bacterial cell to create oxidative
stress and cause damage to lipids, DNA, RNA, and proteins.[37] We also observed that the APNs of different
facets were able to generate a significant amount of ROS in different
Gram-negative and Gram-positive bacteria to a variable extent. The
produced ROS in the bacteria causes oxidative stress that has been
assumed as a major contributor in changing the permeability of the
cell membrane, which can damage the integrity of the bacterial cell
membrane.[38] Under normal conditions, bacterial
cells encounter the ROS with the help of different intrinsic enzymes
and try to balance the internal environment of the cell for their
successful growth and reproduction.[34]Our results are in line with a different study, in which APNs of
varying particle sizes effectively produced antibacterial effects
against Gram-negative and Gram-positive bacteria.[39−43] With oxidative stress, several biomolecules, such
as proteins, DNA, and so forth, which are the building blocks of any
living organism, can undergo various degrees of oxidation. Moreover,
ROS is also responsible for inducing the gene expression of different
oxidative proteins, which helps to facilitate the death processes
of the bacterial cell.[44] Several enzymes
are present in the periplasmic space of the bacterial cell, which
are essential for maintaining their normal morphology and physiology
and are also adversely affected by the high level of ROS activity.[45] Thus, it seems that a high amount of ROS generated
in the bacterial cell due to the treatment of APNs of different facets
could cause bacterial cell death (Figure ) by altering their membrane integrity and
DNA damage.
Figure 10
Schematic representation of facet-dependent ROS-like activities
of APNs conferring outstanding antibacterial capabilities by producing
ROS.
Schematic representation of facet-dependent ROS-like activities
of APNs conferring outstanding antibacterial capabilities by producing
ROS.
DFT Simulations
on the Catalytic Activities
of APNs
To provide detailed mechanistic insights of O2 adsorption and dissociation on the Ag3PO4 surfaces, we performed first-principles calculations on distinct
catalytic activities of Ag3PO4. We have computed
O2 dissociation on three different Ag3PO4 surfaces, namely, Ag3PO4(100), Ag3PO4(110), and Ag3PO4(111).Mainly, DFT studies estimate the energies involved during the oxidase-
and peroxidase-like processes. Earlier, Li and Fang et al.(19,35) have reported the O2 oxidase and peroxidase
mechanisms on distinct Pd surface slabs; the same strategy was applied
here to estimate the dissociative adsorption of the O2 species
on the respective Ag3PO4 surfaces. Initially,
we computed the O2 dissociation energy barriers for the
O2 molecule on the three distinct Ag3PO4 surfaces. The dissociation mechanism involves three consecutive
steps:[19] in the first step, O2 molecule absorption occurs on the Ag3PO4(100)
surface, followed by O–O bond dissociation, and finally O–O
bond cleavage to yield single O atoms (Figure ). We have computed O2 dissociation
reaction pathways on Ag3PO4(100), Ag3PO4(110), and Ag3PO4(111) on three
surfaces; among them, the lower dissociation reaction energy pathway
is shown in Figure and those for Ag3PO4(110) and Ag3PO4(111) are provided in the Supporting Information (Figure S4). Purified TA (PTA) in PBS, similarly
treated but without nanoparticles, served as the control. The adsorption
energies of O2 on all three surfaces are −1.05,
−0.9, and −1.75 eV, respectively. O2 binds
tightly to the Ag3PO4(111) surface, with the
corresponding O2 dissociation energies of 0.06, 0.47, and
3.03 eV. PTA in PBS, similarly treated but without nanoparticles,
served as the control. We can see from these activation energies that
dissociative adsorption of O2 is more favorable on the
Ag3PO4(100) and Ag3PO4(110) surfaces than on Ag3PO4(111) due to the
high dissociative activation energy.
Figure 11
Energy profiles of O2 dissociative
adsorption on Ag3PO4(100) surfaces and relative
energies (eV) are
shown.
Energy profiles of O2 dissociative
adsorption on Ag3PO4(100) surfaces and relative
energies (eV) are
shown.
Conclusions
In recent times, many bacteria have developed resistance to multiple
types of antibiotics. This emergence has created a crisis in medicine
with more difficult-to-eliminate bacterial infections, risking very
high morbidity and mortality. Our present study offers one approach
to facilitate overcoming this emerging crisis by using non-conventional
methods to effectively eliminate different bacterial infections. Our
findings suggested the feasibility of using APNs for the biocidal
effect that is facet-dependent in terms of activity. Our results revealed
that the CU APNs had higher antibacterial activity against selected
models of Gram-negative and Gram-positive bacteria than RD or TH APNs.
The antibacterial activity of these nanostructures is attributed to
the generation of ROS upon the interaction of the bacterial surface,
including erosion of the biofilm, resulting in damage to the integrity
of their cell membrane, followed by penetrating ROS generation within
the cellular microenvironment, leading to bacterial death. This work
may open a novel avenue toward the use of APNs to eliminate MDR bacteria
and better secure sterile devices, instruments, or operating environments.
Authors: Nicole Joller; Stefan S Weber; Andreas J Müller; Roman Spörri; Petra Selchow; Peter Sander; Hubert Hilbi; Annette Oxenius Journal: Proc Natl Acad Sci U S A Date: 2010-11-03 Impact factor: 11.205