Skip to main content
Nature Portfolio logoLink to Nature Portfolio
. 2015 Feb 11;6:6208. doi: 10.1038/ncomms7208

Mechanism of erosion of nanostructured porous silicon drug carriers in neoplastic tissues

Adi Tzur-Balter 1, Zohar Shatsberg 2, Margarita Beckerman 2, Ester Segal 3,4,b, Natalie Artzi 2,5,a
PMCID: PMC4339882  PMID: 25670235

Abstract

Nanostructured porous silicon (PSi) is emerging as a promising platform for drug delivery owing to its biocompatibility, degradability and high surface area available for drug loading. The ability to control PSi structure, size and porosity enables programming its in vivo retention, providing tight control over embedded drug release kinetics. In this work, the relationship between the in vitro and in vivo degradation of PSi under (pre)clinically relevant conditions, using breast cancer mouse model, is defined. We show that PSi undergoes enhanced degradation in diseased environment compared with healthy state, owing to the upregulation of reactive oxygen species (ROS) in the tumour vicinity that oxidize the silicon scaffold and catalyse its degradation. We further show that PSi degradation in vitro and in vivo correlates in healthy and diseased states when ROS-free or ROS-containing media are used, respectively. Our work demonstrates that understanding the governing mechanisms associated with specific tissue microenvironment permits predictive material performance.


Inline graphicThe degradation of materials used in biological applications has an important bearing on their long term performance. Here, the authors show how porous silicon nanoparticle degradation can be accelerated in vivo through the influence of local tissue pathology, likely influencing drug delivery performance.


The benefits of localized delivery of therapeutic agents serve as a driving force for the design and synthesis of biomaterials for medical applications1,2,3. The demands from these materials are high, as they must be biocompatible and exert desired therapeutic effect by controlling their structure, morphology and physicochemical properties. Degradable biomaterials that perform their function and are then eliminated from the body are of high interest as permanent residence time of devices and chronic inflammation were found to correlate4,5,6,7,8. Erosive materials are dynamic; they change shape, morphology and structure in the same time frame they exert their desired effects. Furthermore, when considering the release of embedded drugs, any change in material fate as a result of specific microenvironmental impositions would affect not only material performance and potentially tissue response, but also drug-release kinetics. We have shown that material degradation depends on formulation, shape and implantation site9. As biodegradability and biocompatibility are contextual and not a constitutive property of the material, they can only be determined within specific environments. This then needs to be put in the perspective of the specific clinical scenario and the environment the material will be exposed to. Neoplastic states are one example in which a range of modifications including extracellular matrix content, immune cells, enzymes and reactive oxygen species (ROS) may modify device fate. Thus, comparison between material erosion in vivo in healthy and diseased states is crucial for elucidating the importance of the physiological microenvironment in determining device performance, tissue response and eventually clinical outcome. This will then help isolating and identifying the precise in vitro conditions that represent the most critical parameters determining material behaviour in vivo.

Nanostructured porous silicon (PSi) is a promising and versatile material for biomedical applications10. The high tunability of PSi-based scaffolds, imparted by the ability to tailor the porosity and surface chemistry11,12,13, together with the biocompatibility and degradability into nontoxic orthosilicic acid14,15, has already led to the use of PSi as optical biosensors16,17,18, for biomolecular screening19, tissue engineering20,21,22 and drug delivery11,12,23,24,25,26,27,28,29, specifically in cancer therapy12,26,30,31,32,33,34,35. Although PSi emerges as a promising vehicle for local drug release, its in vivo fate was not yet studied, and to the best of our knowledge there is no mechanistic study that examines the potential impact of tissue microenvironment on PSi degradation. We hypothesized that pathological state, such as breast cancer, would alter PSi fate in vivo. As material degradation will determine drug-release kinetics, the implications are that the tumour state will be directly regulated by material erosion kinetics.

In this study, we examine the effect of local pathology on PSi fate using human breast cancer xenograft model and find that PSi erosion is highly catalysed in the cancerous environment compared with the healthy state owing to the upregulation of ROS. We exploit a noninvasive imaging technique to monitor the fate of fluorescently labelled PSi microparticles in vivo in healthy and diseased environments. The fluorescence of the reporter is quenched by the PSi to an extent dependent on the state of oxidation and extent of degradation. This phenomenon by itself is indicative of the differences between healthy and diseased environments, and in particular the impact of oxidative stress on implanted materials. Owing to the modification of the reporter by the environment, we generated a formula that converts fluorescence to mass under artificial in vitro conditions that mimic the in vivo environment. The formula is created by tracking in vitro material fate using inductively coupled plasma atomic emission spectroscopy (ICP-AES) and fluorescence simultaneously, and is then used to convert the in vivo fluorescence to mass. We then show that correlation between in vitro and in vivo material erosion persists only under in vitro clinically relevant conditions that capture the main factors determining material fate in vivo. The ability to determine and predict material fate in vivo under specific environments is the next step in material design that would lead to faster and successful clinical translation.

Results

Tracking PSi erosion in vivo

Real-time monitoring of material erosion is a key factor in designing and programming the performance of erodible biomaterials. However, traditional determination of in vitro erosion cannot always predict in vivo performance because of the significant differences in environmental forces in vitro and in vivo. As such, loss of material integrity, structure and eventually mass may differ dramatically, affecting in vivo biomaterial performance. Specifically, the performance of nanostructured PSi-based drug delivery systems is critically dependent on the degradation behaviour of the Si scaffold11,33,36,37,38.

We studied the degradation profile of nanostructured PSi thin films that were fabricated by anodization process at a constant current density of 15 mA cm−2 for 225 s. The etching conditions were adjusted to yield an ~2,500-nm-thick porous layer (porosity of 65% and surface area of ~450 m2 g−1) with a typical morphology of interconnecting cylindrical pores. Following the electrochemical etching, the resulting porous films were lifted off from the bulk Si substrate, by applying an electropolishing current, after which the freestanding films were fractured into micron-size particles (2–18 μm) by ultrasonication (see Supplementary Fig. 1a,b).

Most studies have investigated the behaviour of these carriers in vitro; however, future clinical applications of these nanomaterials would require characterizing material in vivo erosion and establishing clinically relevant in vitro conditions under which one can attain similar behaviour in the two domains. Monitoring PSi degradation noninvasively and continuously is challenging. Gu et al.39 have studied the in vitro degradation and dissolution process of luminescent PSi particles and suggested that material fate can be monitored through its intrinsic luminescence. We found that the luminescent signal of the particles is not sufficient post implantation, thus requiring another method for in vivo tracking to be employed (Supplementary Fig. 2).

To allow optical monitoring of the in vivo degradation process, PSi microparticles were chemically modified by thermal hydrosilylation of undecylenic acid26,38,40,41 to enable covalent attachment of Texas-red hydrazide (TRH) dye molecules to the Si scaffold, as illustrated in Supplementary Fig. 1c. Attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy was used to confirm the chemical modification of the Si scaffold following thermal hydrosilylation and fluorophore tagging (Supplementary Fig. 1c).

Figure 1a schematically illustrates the erosion process of the TRH-labelled PSi microparticles. Many studies have shown that the degradation of PSi in physiological media involves the oxidation of the Si scaffold into Si-dioxide, followed by the hydrolysis of the Si–O bonds to release soluble orthosilicic acid species11,14,37,38,42. In the case of TRH-labelled PSi, as the fluorophore molecules are covalently attached to the Si backbone, their release into the surrounding media can occur only through the degradation of the crystalline Si scaffold. Thus, Si erosion can be monitored by measuring the fluorescence intensity of the aqueous media, into which the Si–TRH species were released, as corroborated by the analytical quantification of the content of Si in the release media using ICP-AES, for TRH-labelled PSi microparticles (Fig. 1b). This assay is commonly used to provide the absolute values of mass changes in the Si matrix and is considered the gold standard method for characterizing PSi degradation32,33,36,43,44. The ICP-AES and florescence analyses highly correlate (R2=0.993, Fig. 1b inset) and display a gradual decrease in the Si mass loss, resulting in a complete degradation of the microparticles within ~20 days. These results reveal that fluorescence tracking enables sensitive monitoring of PSi degradation process.

Figure 1. Degradation of TRH-labelled PSi microparticles.

Figure 1

(a) Schematics of the degradation process of TRH-labelled PSi microparticles and (b) in vitro Si degradation profiles measured by ICP-AES (blue) and TRH fluorophore release (red). Data are the average percentage±s.d of three independent experiments. Note: the porous nanostructure is characterized by a morphology of interconnecting cylindrical pores that is not reflected in the schematic representation of the PSi.

The effect of the tumour microenvironment on PSi erosion

In order to provide insight into the effect of the physiological microenvironment and disease state on the erosion of the PSi carriers, material mass loss in vivo was monitored by intravital tracking of the fluorescently tagged microparticles. Breast cancer tumours were induced by injecting luciferase-expressing human breast carcinoma cells (luc-MDA-MB-231) into the left mammary fat pad of severe combined immunodeficiency mice. These cells were engineered to express luciferase, thus enabling noninvasive imaging of tumour state by quantifying the bioluminescent signal using the in vivo imaging system, see Supplementary Fig. 3. Following tumour induction, intratumoral injections of TRH-PSi microparticles (aliquots of 2 mg of particles in 30 μl) were administered and intravital tracking was carried out to visualize and quantify the fluorescence of the labelled particles for 11 days. Similar doses of particles were injected into mammary tissues of healthy mice and monitored in parallel. Distinct differences between Si degradation in healthy and diseased mice are evident, revealing the profound effect of the physiological microenvironments on PSi erosion (Fig. 2a). Interestingly, while one expects to see a decrease in fluorescence as a result of degradation, an increase in fluorescence is observed at early time points. TRH-PSi injected intratumorally display significantly higher fluorescent intensity compared with particles implanted into healthy mammary tissue throughout the timescale of the experiments. Intratumorally injected particles show rapid increase in fluorescence intensity reaching a maximum value on day 5 (5.5-fold increase), followed by a fast decrease, in contrast to a more attenuated response in healthy state (2.5-fold increase by day 9, Fig. 2b).

Figure 2. Fluorescence intensity of TRH-labelled PSi particles in healthy and tumour-bearing mice.

Figure 2

(a) Representative measurements using the in vivo imaging system technique and (b) analysis of the results. (c) Schematics of fluorophore signal in the presence of tumour ROS. Data are the average percentage±s.d of two independent experiments, each including 15 severe combined immunodeficiency (SCID) female mice (10 mice were induced with breast cancer and 5 served as a healthy control).

Similar behaviour of labelled PSi was recently demonstrated in ref. 38 in vitro. It was found that the fluorescence intensity of dye molecules attached to the surface and inner pore walls of mesoporous Si particles depends on the oxidation level of the Si scaffold. When fluorescent dye molecules are attached to freshly etched PSi, low levels of fluorescence are observed because of quenching of the emitted light by the highly dense electrons in the PSi semiconductor nanostructure45,46,47,48,49. As the PSi nanostructure oxidizes, the growing oxide layer facilitates physical separation between the dye donor and the semiconductor acceptor, thus eliminating the quenching phenomenon. This process attenuates energy transfer and results in higher fluorescence emission38,50.

We hypothesized that the observed differences in the fluorescence intensity of TRH-PSi microparticles injected into healthy and cancerous tissues can be ascribed to the profound differences between the physiological microenvironments as related to ROS concentration and the resulting oxidative stress51. We confirmed the elevation in ROS concentration in the tumour microenvironment using ROS-sensitive fluorophore in healthy and cancerous tissues. This fluorophore is optically silent until the attached quenching molecule is cleaved by interacting with an oxidant like ROS, permitting fluorescence emission. High signal is observed in the tumour region, indicative of ROS upregulation, compared with the relatively low signal detected in healthy mice (see Supplementary Fig. 4). The pronounced elevation in ROS concentration in the tumour microenvironment52 may induce a faster build up of the Si oxide layer compared with the marginal and sustained oxidation in healthy state. Hence, in the diseased environment the quenching phenomenon is eliminated, enabling tracking the changes in fluorescence signal as the PSi degrades, as schematically illustrated in Fig. 2c.

Identifying physiological conditions defining in vivo behaviour

We hypothesized that the in vivo erosion of PSi in healthy and tumour environments, as reported by the fluorophore, is a result of two mechanisms: the actual degradation of the Si scaffold and also the modification of the reporter’s signal by the build up of the oxide layer that further modifies the degradation53. In order to elucidate the contribution of each mechanism, we constructed artificial conditions in vitro that allow for controlled addition of physiologically relevant ROS concentrations to examine the impact of ROS on PSi degradation. Once able to eliminate the effect of the environment on the fluorophore signal, we will be able to convert fluorescence signal to mass loss. However, as the cancerous microenvironment presents additional disparities beyond ROS upregulation compared with the healthy state, we examined the impact of other possible factors on PSi degradation in vitro, including acidic pH (6.5 compared with 7.4) and addition of proteins whose adsorption to PSi particles following their in vivo administration may alter the PSi degradation profile. The degradation was monitored in vitro using PBS or human serum, at pH 6.5 or 7.4, with or without ROS present and their combinations (see Supplementary Fig. 5). PSi degradation profile under each of these conditions was similar, unless ROS was used, the latter leading to significant acceleration in degradation. These experiments support our hypothesis that the determinant factor accelerating PSi erosion in the tumour microenvironment is ROS upregulation. Specifically, 3-morpholinosydnonimine N-ethylcarbamide (SIN-1) was used to generate physiologically relevant levels of peroxynitrite (OONO; refs 38, 54, 55), a highly reactive oxygen species involved in human carcinogenesis56. Figure 3 summarizes the in vitro effect of PBS with and without peroxynitrite on the fluorescent intensity of TRH-PSi microparticles in comparison with their in vivo behaviour, observed in healthy and cancerous tissues. The initial increase in fluorescence intensity of the particles by a factor of 4.7 up to day 5 (Fig. 3a) followed by a fast signal reduction is recapitulated in vitro by adding the oxidizing agent OONO to the degradation media. A linear correlation between the fluorescence signal in vitro and in vivo (R2=0.796) is attained under these conditions. Control in vitro experiments with PBS show a marginal increase in fluorescence (Fig. 3b) and poor correlation with in vivo behaviour in cancerous tissue (R2=0.076). However, this in vitro behaviour (in the presence of PBS) correlates with in vivo fluorescence when particles are injected into healthy tissue with low oxidation levels (Fig. 3c, R2=0.860), thus corroborating our hypothesis that oxidative stress is a key factor determining PSi in vivo erosion. These results reveal that traditional in vitro assessment of particles’ fluorescence using PBS buffer is not indicative of in vivo behaviour in diseased tissues, emphasizing the importance of developing preclinically relevant in vitro conditions under which one can attain similar behaviour in vitro and in vivo.

Figure 3. In vivo and in vitro measurements of the fluorescence intensity of TRH-labelled PSi particles.

Figure 3

(a) The fluorescence intensity of particles intratumorally injected in comparison with the intensity measured in vitro in the presence of ROS (R2=0.796) and (b) in vitro without ROS (R2=0.076). (c) The fluorescence intensity of particles injected into the healthy mammary fat pad in comparison with the intensity measured in vitro without ROS (R2=0.860). Data are the average percentage±s.d of two independent experiments, each including 15 SCID female mice (10 mice were induced with breast cancer and 5 served as a healthy control).

Generating a formula to convert fluorescence to mass loss

While the presence of ROS modifies the signal of our reporting molecule, it is also expected to enhance the degradation of PSi, as PSi degradation in aqueous solutions involves oxidation of Si to Si-dioxide, followed by the hydrolysis of Si–O bonds to release orthosilicic acid38. Thus, elevated levels of ROS will accelerate the degradation of intratumorally injected particles, resulting in signal reduction. To isolate the autocatalytic effect of enhanced degradation with amplified oxidation while excluding the effect on the fluorescent reporter molecule, in vitro Si mass loss of TRH-PSi microparticles was quantified using the ICP-AES analysis under physiologically relevant levels of peroxynitrite (Fig. 4a). While this method is vastly used to accurately monitor Si erosion in vitro and in vivo12,32,44,57,58, it requires killing animals at each time point of the experiment in order to determine the Si content in the tissue. However, this method allows us to compare in vitro erosion under artificial conditions without ‘contaminating’ the profile with other parameters that do affect the fluorescent reporter. Indeed, Si erosion measured with ICP-AES is enhanced in the presence of ROS, resulting in complete degradation of the microparticles within 10 days. In comparison, the erosion profile in PBS depicts a gradual degradation, lasting for ~20 days (Fig. 4a). This finding corroborates that the acceleration of Si degradation is a result of oxidative stress, and not a simple modification of the reporters’ signal. Si mass is presented on a modified log-linear scale as the erosion profiles fit exponential decay36 (Fig. 4b). A linear fit to the data reveals enhanced erosion rate in the presence of physiologically relevant levels of peroxynitrite compared with PBS only, with erosion rate constants of k=0.183 and 0.115 per day for the OONO solution and PBS, respectively.

Figure 4. In vitro Si mass loss kinetics of TRH-PSi microparticles under physiologically relevant levels of ROS.

Figure 4

(a) In vitro Si mass loss profiles measured by ICP-AES in PBS buffers with ROS (green) and without ROS (blue) and (b) corresponding calculated erosion rates. Data are the average percentage±s.d of three independent experiments. Both environments show a logarithmic degradation (that is, increase in Si content in the aqueous environment), with a rate of k=0.183 per day for ROS solution and k=0.115 per day for PBS buffer.

Calculating Si in vivo erosion

The excellent correlations between PSi in vitro and in vivo fluorescence, both in healthy and diseased states (Fig. 3), suggest that we can use the conversion between fluorescence and mass loss generated in vitro (see Supplementary Fig. 6) to convert Si in vivo mass loss from in vivo fluorescence. Figure 5a presents in vivo Si mass loss calculated for the labelled microparticles in healthy and tumour environments. The PSi in vivo erosion rate is significantly enhanced in the tumour environment compared with the healthy state, with k=0.209 and k=0.112 per day (Fig. 5b), respectively. Establishing these correlations allows for the assessment of in vivo Si mass loss profiles while eliminating the need to kill animals at each time point of the experiments, presenting a generic methodology to infer device performance noninvasively and directly from the observed in vivo fluorescence. It is worth mentioning that PSi in vivo degradation kinetics can be tuned by changing particle size and porosity, but will be further modified as a function of the injection dose/site and tumour type. Hence, our approach of examining PSi microparticles in light of their specific clinical application and the environment they would be exposed to should be employed to unravel the impact of the physiological microenvironment on material performance.

Figure 5. In vivo Si mass loss and erosion profiles.

Figure 5

(a) In vivo Si mass loss profiles and (b) erosion rates calculated for TRH-labelled PSi microparticles in healthy and tumour environments.

In summary, this work demonstrates that material performance is contextual and hence should be studied in light of the intended clinical use. PSi has emerged as a material with high clinical potential as its high surface area provides ample opportunities for loading drugs and molecules for therapeutic benefits. Although PSi degradation largely determines the release of embedded drugs, its erosion profile under pathological states that are of clinical relevance was not studied. Understanding the factors affecting PSi erosion in vivo would facilitate its rapid development and clinical usage as a drug carrier. We now show that PSi erosion is enhanced in the tumour microenvironment compared with the healthy state as a result of elevation in oxidative stress, see Fig. 2. The relationship between fluorescence intensity used to monitor PSi in vivo erosion and Si mass with time is complex and is being affected by ROS content in the Si milieu, as we show in Fig. 3. Using ICP-AES as a method to track in vitro Si degradation together with optical imaging used to monitor in vitro and in vivo Si fluorescence, we were able to convert the complex fluorescent signal into material mass. This approach enables noninvasive and continuous tracking of PSi erosion with time. PSi erosion almost doubled in the cancerous tissue, highlighting the need to examine materials in light of their clinical application (Fig. 5). This approach should be applied to any material and clinical scenario to attain predictive performance. Specific clinical scenarios may require further material optimization but would facilitate successful clinical outcome and translation of new materials to the clinic.

Methods

Fabrication and characterization of porous Si carriers

Fabrication of PSi microparticles. Mesoporous Si films are fabricated from single-side polished p+ <100> silicon wafers (~1 mΩ-cm, B-doped, from Siltronix Corp, France) using an electrochemical etch process, in a 3:1 (v/v) solution of aqueous HF (48%, Merck, Germany) and ethanol (99.9%, Merck), at a constant current density of 15 mA cm−2 for 225 s. Si wafers with an exposed area of 6.16 cm2 are contacted on the backside with an aluminium foil and mounted in a Teflon-etching cell; a platinum spiral coil is used as the counterelectrode. After etching, the surface of the wafer is rinsed with ethanol several times and dried under a dry nitrogen gas. The resulting porous films are removed from the bulk Si substrate by applying an electropolishing current density of 4 mA cm−2 for 3 min in an electrolyte solution of 3.3% HF in ethanol. The freestanding films are then placed in absolute ethanol and ultrasonically fractured, using an ultrasonic probe (Amp. 55%, 30 min, Vibracell 750 W, Sonics, USA), to produce particles ranging in size from 2 to 18 μm. All materials are supplied by Sigma Aldrich Chemicals, unless otherwise mentioned.

Hydrosilylation of PSi microparticles. Freshly etched PSi microparticles are chemically modified using thermal hydrosilylation of undecylenic acid (≥95%), using microwave irradiation (Intelowave MS-204WS LG), to form undecanoic acid-terminated (u-PSi) PSi. Briefly, 20 mg of microparticles are placed in an open Pyrex beaker containing 6 ml of undecylenic acid and are allowed to react for 6 min at 320 W. The resulting microparticles are thoroughly rinsed with acetone (Frutarom, Israel) and ethanol (99.9%, Merck) to remove unreacted species from the surface and then dried under a stream of nitrogen gas.

Physical characterization of PSi microparticles. High-resolution scanning electron microscopy is performed using a Carl Zeiss Ultra Plus Field Emission scanning electron microscopy, at an accelerating voltage of 1 keV. Particle size and size distribution are determined using confocal laser scanning microscopy (LSM 700, Carl Zeiss, Germany) and the image analysis software (Axio Vision Rel. 4.8 with auto-measurement module). Surface chemistry of the microparticles was characterized with ATR-FTIR spectroscopy using a Thermo 6700 FTIR instrument equipped with a Smart iTR diamond ATR device.

Fluorescence labelling of porous Si microparticles

Twenty milligrams of undecylenic acid modified (u-PSi) microparticles are suspended in 2.5 ml of 0.2 M solution of N-(3-dimethylaminopropyl)-N2-ethylcarbodiimide hydrochloride (≥98.0%), and 2.5 ml of 0.1 M solution of N-Hydroxysulfosuccinimide sodium salt (Sulfo NHS, ≥98.0%) for 10 min. TRH solution (2.5 ml; Invitrogen, USA), consisting of 1.62 × 10−3 M TRH in N,N-Dimethyl formamide (Frutarom), is added and the microparticles allowed to react under orbital shaking for 2 h at room temperature. Removal of unreacted TRH following labelling involved cycles of centrifugation (15,000 g for 5 min) and replacement of the supernatant with N,N-Dimethyl formamide and deionized water. This step is repeated several times till the red colour of TRH had disappeared, after which the microparticles are dried under a stream of nitrogen gas.

The in vitro effect of PBS with and without peroxynitrite on the fluorescent intensity of TRH-PSi microparticles (reported in Fig. 3) is studied by incubating batches of 2 mg of TRH-labelled particles in 2 ml of PBS or PBS supplemented with 2 mM SIN-1, under orbital agitation of 100 r.p.m. at 37 °C. At designated time intervals, each batch of microparticles is separated from the media by centrifugation and the microparticles are placed within black well and clear bottom 96 plates, after which their fluorescence is determined by high-throughput screening using IN Cell Analyzer 2000 (GE Healthcare). Fluorescence images of the labelled particles are captured using an excitation filter wavelength of 530–580 nm and an emission filter wavelength of 600–660 nm and acquired automatically with a × 10 objective. Area and the mean fluorescence intensity per pixel of each labelled microparticle and the number of microparticles are obtained using the IN Cell Developer software (GE Healthcare). Using this technique, every measurement captured the fluorescence of ~5,000 microparticles directly, eliminating any background signal that may arise from dye release to the media.

In vitro degradation

In vitro degradation is followed by tracking TRH fluorescence intensity over time following the incubation of 2-mg TRH-labelled particles in 2 ml of PBS, under orbital agitation of 100 r.p.m. at 37 °C. At designated time intervals, aliquots are sampled and replaced with fresh PBS. TRH solutions are separated from the microparticles by centrifugation. Concentrations of the samples are determined by measuring the fluorescence intensity of the released dye using a microplate reader (Varioskan Flash; Thermo Scientific, Waltham, MA, USA) with an excitation of 585 nm. The peak intensity of TRH was found to be at 602 nm, and a calibration curve for the dye in PBS was used to determine the amount of dye released.

The effect of ROS on Si erosion in vitro

To evaluate Si degradation kinetics, 2 mg of TRH-PSi microparticles were incubated in 2 ml of PBS or PBS supplemented with SIN-1 (2 mM), under orbital agitation of 100 r.p.m. at 37 °C. At designated time intervals, aliquots were sampled and replaced with fresh PBS or SIN-1 solution. The resulting liquid was stored at 4 °C for later analysis of total silicon by Varian Vista-Pro Inductively Coupled Plasma Atomic Emission Spectrometer (Varian Inc. Santa Clara, CA, USA; ICP-AES). The Si atomic emission peaks at 212.4, 251.6 and 288.2 nm are monitored. Si erosion is expressed as percentage of the total Si content of the studied PSi microparticles. Rate of erosion is characterized by an exponential decay model in the form of mSi(t)=m[1−exp(−kt)], where m is the mass as t→∞ and k is a constant that characterizes the rate of erosion.36

Breast cancer mouse model development and quantification of Si erosion

MDA-MB-231 Luciferase-expressing cells are used to induce breast cancer tumour following their culture in high-glucose DMEM medium (Lonza, USA) supplemented with 10% FBS (Gibco, USA), 1% PS/G (Lonza) and 0.7 mg ml−1 G418 (Sigma, USA) for positive selection. Upon reaching the required concentration, the cells are prepped for animal injection in HBSS (Lonza). Fifteen severe combined immunodeficiency female mice (Charles River, USA) were used (10 mice are induced with breast cancer and 5 serve as a healthy control), and the procedures approved by the Committee on Animal Care at the Massachusetts Institute of Technology. Each mouse is injected with 5 × 106 cells in 50 μl, in the left mammary fat pad. Following tumour induction, mice are monitored for tumour development by imaging the Luciferase-expressing cells 15 min following intraperitoneal injection of luciferin solution using an In Vivo Imaging System (Perkin Elmer, USA). Tumour is also measured physically with a caliper. When the tumour reaches a volume of ~70 mm3, 2 mg of fluorescently labelled PSi microparticles in 30 μl of HBSS are injected intratumorally. Simultaneously, similar doses of particles are injected into healthy mammary tissues of five healthy mice. PSi erosion is monitored by tracking the fluorescent signal of labelled particles using the spectral unmixing protocol in order to subtract background and tissue autofluorescence (Ex filters: 500–570, Em filters: 600–660). Mice are imaged until tumour reached a volume of 1,000 mm3.

Author contributions

E.S. and N.A. conceived the project; A.T.-B. fabricated, labelled and characterized PSi microparticles, performed all PSi in vitro degradation studies; Z.S. and M.B. performed animal work and the in vivo imaging; A.T.-B., E.S. and N.A. analysed the data and wrote the paper with input from all authors.

Additional information

How to cite this article: Tzur-Balter, A. et al. Mechanism of erosion of nanostructured porous silicon drug carriers in neoplastic tissues. Nat. Commun. 6:6208 doi: 10.1038/ncomms7208 (2015).

Supplementary Material

Supplementary Information

Supplementary Figures 1-6 and Supplementary References.

ncomms7208-s1.pdf (603.9KB, pdf)

Acknowledgments

This work is partially supported by the Russell Berrie Nanotechnology Institute (RBNI) and the Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering (LS&E). A.T.-B. gratefully acknowledges the RBNI Scholarship for Outstanding Graduate Students. We thank Professor Michael Sailor for critical review of the manuscript.

References

  1. Brigger I., Dubernet C. & Couvreur P. Nanoparticles in cancer therapy and diagnosis. Adv. Drug Deliv. Rev. 64, 24–36 (2002). [DOI] [PubMed] [Google Scholar]
  2. Stastny M. et al. HPMA-hydrogels containing cytostatic drugs - kinetics of the drug release and in vivo efficacy. J. Control. Release 81, 101–111 (2002). [DOI] [PubMed] [Google Scholar]
  3. Wise D. L. Handbook of Pharmaceutical Controlled Release Technology 1st edn Marcel Dekker Inc. (2000). [Google Scholar]
  4. Liu Q. Y., Jiang L., Shi R. & Zhang L. Q. Synthesis, preparation, in vitro degradation, and application of novel degradable bioelastomers-A review. Prog. Polym. Sci. 37, 715–765 (2012). [Google Scholar]
  5. Nair L. S. & Laurencin C. T. Biodegradable polymers as biomaterials. Prog. Polym. Sci. 32, 762–798 (2007). [Google Scholar]
  6. Rodriguez-Galan A., Franco L. & Puiggali J. Degradable poly(ester amide)s for biomedical applications. Polymers 3, 65–99 (2011). [Google Scholar]
  7. Ulery B. D., Nair L. S. & Laurencin C. T. Biomedical applications of biodegradable polymers. J. Polym. Sci. Pt. B Polym. Phys. 49, 832–864 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Anderson J. M. Biological responses to materials. Ann. Rev. Mater. Res. 31, 81–110 (2001). [Google Scholar]
  9. Artzi N. et al. In vivo and in vitro tracking of erosion in biodegradable materials using non-invasive fluorescence imaging. Nat. Mater. 10, 704–709 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bonanno L. M. & Segal E. Nanostructured porous silicon-polymer-based hybrids: from biosensing to drug delivery. Nanomedicine 6, 1755–1770 (2011). [DOI] [PubMed] [Google Scholar]
  11. Anglin E. J., Cheng L. Y., Freeman W. R. & Sailor M. J. Porous silicon in drug delivery devices and materials. Adv. Drug Deliv. Rev. 60, 1266–1277 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Park J. H. et al. Biodegradable luminescent porous silicon nanoparticles for in vivo applications. Nat. Mater. 8, 331–336 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Salonen J. et al. Mesoporous silicon microparticles for oral drug delivery: loading and release of five model drugs. J. Control. Release 108, 362–374 (2005). [DOI] [PubMed] [Google Scholar]
  14. Canham L. T. Bioactive silicon structure fabrication through nanoetching techniques. Adv. Mater. 7, 1033–1037 (1995). [Google Scholar]
  15. Canham L. T. Nanoscale semiconducting silicon as a nutritional food additive. Nanotechnology 18, 6 (2007). [Google Scholar]
  16. Jane A., Dronov R., Hodges A. & Voelcker N. H. Porous silicon biosensors on the advance. Trends Biotechnol. 27, 230–239 (2009). [DOI] [PubMed] [Google Scholar]
  17. Kilian K. A., Boecking T. & Gooding J. J. The importance of surface chemistry in mesoporous materials: lessons from porous silicon biosensors. Chem. Commun. 6, 630–640 (2009). [DOI] [PubMed] [Google Scholar]
  18. Massad-Ivanir N., Shtenberg G. & Segal E. Advancing nanostructured porous si-based optical transducers for label free bacteria detection. Adv. Exp. Med. Biol. 733, 37–45 (2012). [DOI] [PubMed] [Google Scholar]
  19. Cunin F. et al. Biomolecular screening with encoded porous-silicon photonic crystals. Nat. Mater. 1, 39–41 (2002). [DOI] [PubMed] [Google Scholar]
  20. Coffer J. L. et al. Porous silicon-based scaffolds for tissue engineering and other biomedical applications. Phys. Status Solidi A 202, 1451–1455 (2005). [Google Scholar]
  21. Sun W., Puzas J. E., Sheu T. J. & Fauchet P. M. Porous silicon as a cell interface for bone tissue engineering. Phys. Status Solidi A 204, 1429–1433 (2007). [Google Scholar]
  22. Sun W., Puzas J. E., Sheu T. J., Liu X. & Fauchet P. M. Nano- to microscale porous silicon as a cell interface for bone-tissue engineering. Adv. Mater. 19, 921–924 (2007). [Google Scholar]
  23. Bimbo L. M. et al. Drug permeation across intestinal epithelial cells using porous silicon nanoparticles. Biomaterials 32, 2625–2633 (2011). [DOI] [PubMed] [Google Scholar]
  24. Chiappini C. et al. Tailored porous silicon microparticles: fabrication and properties. Chemphyschem. 11, 1029–1035 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Li X. et al. Porosified silicon wafer structures impregnated with platinum anti-tumor compounds: fabrication, characterization, and diffusion studies. Biomed. Microdevices 2, 265–272 (2000). [Google Scholar]
  26. Park J. S., Kinsella J. M., Jandial D. D., Howell S. B. & Sailor M. J. Cisplatin-loaded porous Si microparticles capped by electroless deposition of platinum. Small 7, 2061–2069 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Perelman L. A., Pacholski C., Li Y. Y., VanNieuwenhze M. S. & Sailor M. J. pH-triggered release of vancomycin from protein-capped porous silicon films. Nanomedicine 3, 31–43 (2008). [DOI] [PubMed] [Google Scholar]
  28. Salonen J., Kaukonen A. M., Hirvonen J. & Lehto V. P. Mesoporous silicon in drug delivery applications. J. Pharm. Sci. 97, 632–653 (2008). [DOI] [PubMed] [Google Scholar]
  29. Tasciotti E. et al. Mesoporous silicon particles as a multistage delivery system for imaging and therapeutic applications. Nat. Nanotechnol. 3, 151–157 (2008). [DOI] [PubMed] [Google Scholar]
  30. Anglin E. J., Schwartz M. P., Ng V. P., Perelman L. A. & Sailor M. J. Engineering the chemistry and nanostructure of porous Silicon Fabry-Perot films for loading and release of a steroid. Langmuir 20, 11264–11269 (2004). [DOI] [PubMed] [Google Scholar]
  31. Gu L. et al. In vivo time-gated fluorescence imaging with biodegradable luminescent porous silicon nanoparticles. Nat. Commun. 4, 7 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Martinez J. O. et al. Short and long term, in vitro and in vivo correlations of cellular and tissue responses to mesoporous silicon nanovectors. Small 9, 1722–1733 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Tzur-Balter A., Gilert A., Massad-Ivanir N. & Segal E. Engineering porous silicon nanostructures as tunable carriers for mitoxantrone dihydrochloride. Acta Biomater. 9, 6208–6217 (2013). [DOI] [PubMed] [Google Scholar]
  34. Xiao L., Gu L., Howell S. B. & Sailor M. J. Porous silicon nanoparticle photosensitizers for singlet oxygen and their phototoxicity against cancer cells. ACS Nano 5, 3651–3659 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Yokoi K. et al. Porous silicon nanocarriers for dual targeting tumor associated endothelial cells and macrophages in stroma of orthotopic human pancreatic cancers. Cancer Lett. 334, 319–327 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Tzur-Balter A., Young J. M., Bonanno-Young L. M. & Segal E. Mathematical modeling of drug release from nanostructured porous Si: combining carrier erosion and hindered drug diffusion for predicting release kinetics. Acta Biomater. 9, 8346–8353 (2013). [DOI] [PubMed] [Google Scholar]
  37. Wu E. C. et al. Real-time monitoring of sustained drug release using the optical properties of porous silicon photonic crystal particles. Biomaterials 32, 1957–1966 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Wu E. C. et al. Oxidation-triggered release of fluorescent molecules or drugs from mesoporous si microparticles. ACS Nano 2, 2401–2409 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Gu L., Park J. H., Duong K. H., Ruoslahti E. & Sailor M. J. Magnetic luminescent porous silicon microparticles for localized delivery of molecular drug payloads. Small 6, 2546–2552 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Alvarez S. D., Derfus A. M., Schwartz M. P., Bhatia S. N. & Sailor M. J. The compatibility of hepatocytes with chemically modified porous silicon with reference to in vitro biosensors. Biomaterials 30, 26–34 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kovalainen M. et al. Mesoporous silicon (PSi) for sustained peptide delivery: effect of PSi microparticle surface chemistry on peptide YY3-36 release. Pharm. Res. 29, 837–846 (2012). [DOI] [PubMed] [Google Scholar]
  42. Anderson S. H. C., Elliott H., Wallis D. J., Canham L. T. & Powell J. J. Dissolution of different forms of partially porous silicon wafers under simulated physiological conditions. Physica Status Solidi A 197, 331–335 (2003). [Google Scholar]
  43. Godin B. et al. Tailoring the degradation kinetics of mesoporous silicon structures through PEGylation. J. Biomed. Mater. Res. A 94A, 1236–1243 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Tasciotti E. et al. Near-infrared imaging method for the in vivo assessment of the biodistribution of nanoporous silicon particles. Mol. Imag. 10, 56–68 (2011). [PMC free article] [PubMed] [Google Scholar]
  45. Bruska A., Chernook A., Hietschold M. & von Borczyskowski C. Spectroscopic and SEM investigations of porous silicon doped with dyes. Appl. Surf. Sci. 102, 427–430 (1996). [Google Scholar]
  46. Canham L. T. Laser dye impregnation of oxidized porous silicon on silicon wafers. Appl. Phys. Lett. 63, 337–339 (1993). [Google Scholar]
  47. Letant S. & Vial J. C. Energy transfer in dye impregnated porous silicon. J. Appl. Phys. 82, 397–401 (1997). [Google Scholar]
  48. Setzu S., Letant S., Solsona P., Romestain R. & Vial J. C. Improvement of the luminescence in p-type as-prepared or dye impregnated porous silicon microcavities. J. Lumin. 80, 129–132 (1998). [Google Scholar]
  49. Setzu S., Solsona P., Letant S., Romestain R. & Vial J. C. Microcavity effect on dye impregnated porous silicon samples. Eur. Phys. J. Appl. Phys. 7, 59–63 (1999). [Google Scholar]
  50. Acikgoz S. et al. Investigation of fluorescence dynamics of BODIPY embedded in porous silicon and monitoring formation of a SiO2 layer via a confocal FLIM-based NSET method. J. Phys. Chem. C 115, 22186–22190 (2011). [Google Scholar]
  51. Sciacca B., Pace S., Rivolo P. & Geobaldo F. Switching of fluorescence mediated by a peroxynitrite-glutathione redox reaction in a porous silicon nanoreactor. Phys. Chem. Chem. Phys. 14, 5251–5254 (2012). [DOI] [PubMed] [Google Scholar]
  52. Toyokuni S., Okamoto K., Yodoi J. & Hiai H. Persistent oxidative stress in cancer. FEBS Lett. 358, 1–3 (1995). [DOI] [PubMed] [Google Scholar]
  53. Lee S. H., Gupta M. K., Bang J. B., Bae H. & Sung H. J. Current progress in reactive oxygen species (ROS)-responsive materials for biomedical applications. Adv. Healthc. Mater. 2, 908–915 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Bonfoco E., Krainc D., Ankarcrona M., Nicotera P. & Lipton S. A. Apoptosis and necrosis: two distinct events induced, respectively, by mild and intense insults with N-methyl-D-aspartate or nitric oxide/superoxide in cortical cell cultures. Proc. Natl Acad. Sci. USA 92, 7162–7166 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Hogg N., Darleyusmar V. M., Wilson M. T. & Moncada S. Production of hydroxyl radicals from the simultaneous generation of superoxide and nitric oxide. Biochem. J. 281, 419–424 (1992). [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Dairou J., Atmane N., Rodrigues-Lima F. & Dupret J. M. Peroxynitrite irreversibly inactivates the human xenobiotic-metabolizing enzyme arylamine N-acetyltransferase 1 (NAT1) in human breast cancer cells - a cellular and mechanistic study. J. Biol. Chem. 279, 7708–7714 (2004). [DOI] [PubMed] [Google Scholar]
  57. Decuzzi P. et al. Size and shape effects in the biodistribution of intravascularly injected particles. J. Control. Release 141, 320–327 (2010). [DOI] [PubMed] [Google Scholar]
  58. Hartmann K. I. et al. Hydrosilylated porous silicon particles function as an intravitreal drug delivery system for daunorubicin. J. Ocul. Pharmacol. Ther. 29, 493–500 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information

Supplementary Figures 1-6 and Supplementary References.

ncomms7208-s1.pdf (603.9KB, pdf)

Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES