Statement of significance
The development of theranostic ultrasound contrast agents has been of major interest, especially since the introduction of novel nanomedicines. Such agents cannot be traced after destructive release. Acoustic Janus particles might be used as ultrasound contrast agents as well as drug-delivery tracers. Our finding that submicron carbon black particles have acoustic Janus properties makes them interesting candidates for long-lasting ultrasound contrast agents in theranostics.
Introduction
Theranostic agents are materials that are not only suitable for aiding in diagnostic imaging, but also in therapeutic applications [1]. Owing to recent developments in nanotechnology, theranostic agents have found use more often in combination with diverse imaging modalities [2–5]. Because of the reliability, availability, and price of ultrasound in imaging and therapy [6], numerous studies have been conducted with acoustically active theranostic agents [7–12]. These acoustically active agents comprise drug-charged microbubbles [13, 14], whose payload is released by means of a disruptive ultrasound pulse [15]. The acoustic disruption phenomena of microbubbles have been extensively observed and described [16, 17]. The subsequent uptake of the released therapeutic component is ameliorated in the presence of pulsating microbubbles, owing to transient permeation of biological cells, a phenomenon called sonoporation [18, 19]. Recent findings indicate that hydrophobic particles might have a similar pore-creating effect on cells as microbubbles [20].
Once the therapeutic component has been released from a microbubble, its intended uptake cannot be monitored, as its acoustically active host has been destroyed. As it would be highly beneficial to monitor drug uptake for the quantification of treatment efficacy, there might be a demand for theranostic agents that remain acoustically active after drug release.
A futuristic approach would be to create a drug surrounded by a gas shell that is to be disrupted following a high-amplitude ultrasound pulse to release the drug, only to grow back after a certain time. If we assume that such a gas shell can only be created if the drug is in a hydrophobic state, and that removal of the gas shell is similar to creating a hydrophilic state, we may refer to such a drug as a Janus drug, since any particle that exists in a partly hydrophobic and partly hydrophilic state is referred to as a Janus particle [21].
In previous studies, we demonstrated that hydrophobic carbon black was forced to become hydrophilic under sonication [22, 23]. In addition, we characterized the acoustic response from carbon black tattoo ink in tissue and tissue-mimicking media [24, 25].
Figure 1 shows an example of a skin tattoo under sonication. The average grayscale value of the backscattered intensity in a region of interest containing carbon black pigment dispersion was measured during five seconds and was observed to drop compared to a control region. Such sporadic in-vivo experimental footage suggesting a change in scattering intensity over time has fueled the hypothesis that tattoo ink may change its acoustic response owing to ultrasound-enhanced changes in its hydrophobicity. To date, the in-vivo footage is too rare to provide conclusive scientific evidence in that direction.
We hypothesize that submicron particles with Janus properties may act as ultrasound contrast agents that recover their presonication properties over time. The purpose of this study was to address this hypothesis for carbon black.
Theory
The partition coefficient of a particle sample in an equal mixture of octanol and water defines its hydrophobicity [26]. For small samples, quantifying the concentration in either octanol or water is not straightforward. Therefore, colorimetry is a useful indicator, albeit not for absolute values [27–29].
For light rays travelling through an empty transparent container, the following relation must hold:
(1)
where I c is the measured light intensity after having passed through the container, I 0 is the light intensity before entering the container, and A c is the linear absorption of the container. Let us assume an unsonicated particle sample of interest dispersed in a medium inside the container. For light rays travelling through this unsonicated system, the following relation must hold:
(2)
where I u(x) is the measured light intensity after having passed through the unsonicated system of thickness x [30], and αu is the linear absorption coefficient of any sample material of choice. Now, let us assume a sonicated sample of interest dispersed in the medium in the container. For light rays travelling through this sonicated system, the following relation must hold:
(3)
where I s(x) is the measured light intensity after having passed through the sonicated system, and αs is the linear absorption coefficient of the sonicated sample material. The change in light absorption from unsonicated to sonicated materials can be experimentally determined by measuring I u(x) and I s(x), and by substituting (2) into (3):
(4)
If Δα is positive, the sonicated sample is less hydrophobic than before sonication. In this study, Δα was measured as a function of time.
Materials and methods
Ethics
Conflict of interest: CSC and MP are members of the BIO Integration editorial board. They were not involved in the post-submission handling or reviewing process of this manuscript. The authors state no other conflicts of interest. Ethical clearance was obtained from the Human Research Ethics Committee (Medical) of the University of the Witwatersrand, Johannesburg (clearance certificate no. M190808 MED19-07-006). Informed consent was obtained from volunteer participants where required. The manuscript was written without the aid of artificial intelligence.
Preparation
For experiments, a commercial product was used that comprises carbon black submicron particles and clusters thereof. This product, Zuper Black pigment dispersion (INTENZE Products, Inc., Rochelle Park, NJ, USA), had been estimated to have a resonance frequency greater than 10 MHz [24]. Throughout the experiments, a 0.25‰ dilution of Zuper Black in reverse osmosis distilled and degassed water (CJ Distribution, Midrand, South Africa) was used.
Figure 2 shows a brightfield microscopy image of a droplet of the diluted dispersion and the size distribution thereof. The wide size distribution includes particles and clusters. These could not be discriminated in brightfield microscopy, hampering any interpretation of the particle and cluster morphology.
A total of 600 disposable plastic cuvettes (Hughes & Hughes Ltd., Romford, Essex, UK) with inner dimensions of x × y × z = 9.9 × 9.9 × 42.5-mm3 were partly filled by adding 1.5 ml n-octanol (Hopkin & Williams Ltd, Chadwell Heath, Essex, UK). To a control subset of these, 1.5 ml reverse osmosis distilled water was added. Throughout this study, the contact angles of the fluids within the cuvettes were monitored, to ensure that the surface properties of the cuvette material did not change over time [31].
Colorimetry setup
The sonication part of the experimental setup comprised an AFG 3031B arbitrary waveform generator (Tektronix Incorporated, Beaverton, Oregon, USA) connected to an A-150 55-dB linear power amplifier (ENI Technology, Inc., Rochester, NY, USA), which was in turn connected to a custom-manufactured single-element very broadband transducer (Neoety AS, Kløfta, Norway) that had been pre-calibrated to generate acoustic amplitudes corresponding to a mechanical index <0.03 at a 10-MHz center frequency. The transducer was positioned along the length axis of a degassed water-filled Perspex container with inner dimensions of 580 × 235 × 65 mm3, and was held in place by a custom-printed housing of polylactic acid (Ultimaker BV, Utrecht, Netherlands). A custom-printed cuvette housing (Ultimaker) was permanently positioned at a distance of 10 mm from the transducer face.
The photography part of the colorimetry setup comprised an FCL-22CW 8″D Fluorescent Circular Tube (Galaxy Lighting & Brass Ltd., Richmond, BC, Canada) positioned 50 cm above and tilted toward a Mondi Rotatrim white non-creasing paper background (Mondi, Bedfordview, South Africa). A custom-printed cuvette housing (Ultimaker) was positioned between the background and a LifeCam HD-3000 webcam (Microsoft Corporation, Redmond, WA, USA) whose complementary metal-oxide semiconductor had dimensions of 1280 × 720 pixels. The webcam was connected to a laptop computer for camera control and offline image processing.
A schematic line drawing of the experimental setup and some parameters of relevance is shown in Figure 3 .
Throughout the experimental procedure, a Cartesian coordinate system was used, where the positive x-axis was defined as the direction of light in the horizontal xy-plane from a point of origin on the background through the cuvette housing.
Colorimetry procedure
A cuvette with pigment dilution was placed in the water-filled container. A pulsed signal was generated. Each pulse was composed of a 100-cycles sine wave with a center frequency of 10 MHz. The pulse repetition rate was 1 kHz, which corresponded to a duty cycle of 1%. Sonication continued for 5 minutes, after which the cuvette was removed from the container. A 1.5-ml sample of dilution was pipetted from the sonicated cuvette into a cuvette with octanol. This cuvette was placed on a PSS 200 AC Orbital Sander (Robert Bosch GmbH, Gerlingen-Schillerhöhe, Germany) operating at 400 Hz for 10 s, before being allowed to settle in the cuvette holder of the photography part of the experimental setup. Photographs were taken at 2.5 minutes (2′30″), 5.0 minutes (5′00″), 7.5 minutes (7′30″), and 48 hours (48°00′00″) after positioning, with a dedicated program written in MATLAB® (The MathWorks, Inc., Natick, MA, USA).
For controls, this procedure was performed as described above, just with the ultrasound transducer physically disconnected from the amplifier. In addition, controls were performed on cuvettes with a mixture of octanol and water only, without pigment dispersion.
This procedure was performed five times with a total of 12 cuvettes in parallel, thus generating five unique datasets, each under constant lighting conditions.
Image processing
Image processing was performed with a dedicated onan procedure written in MATLAB®. Photographs were stored offline in portable network graphics format. Each photograph was converted to a grayscale matrix Iij , which was cropped to exclude all areas outside the region of interest in the cuvette. For each individual pixel in the aqueous phase in the sonicated cuvettes, the grayscale value was compared with the mean value for the corresponding unsonicated cuvette, after which the absorption coefficient difference was computed using equation (4). From these 17280 individual values across five datasets, means and standard deviations were determined [32].
Phantom experiments
Phantom experiments were performed in a setup previously described in extenso [24]. In brief, a tissue-mimicking phantom receptacle was constructed with a cylindrical well 40 mm in diameter. The well was filled with undiluted Zuper Black pigment dispersion. The HFL38 13–6-MHz linear probe of a SonoSite® M-Turbo® sonography device (FUJIFILM SonoSite, Inc., Bothell, WA, USA), operating at a mechanical index of 0.6, was clamped to the phantom outer wall. Brightness-mode still frames were collected during sonication. The backscattering intensity inside the well was measured as a function of time by averaging pixel grayscale values inside the brightness-mode area representing the inside of the well. For controls, grayscale values representing the phantom material were measured as a function of time.
Results and discussion
The measured contact angles of the n-octanol–water interface were found to remain at 26 ± 1° throughout all experiments with pigment dispersion. Thus, the acoustic treatment of the minute quantities of pigment dispersions used in this study had no effects on the surface properties of the dilutants used.
Before elaborating on the quantitative results, we present a qualitative example of changing hydrophobicity due to sonication. Figure 4 shows representative photographs of unsonicated and sonicated dispersions in cuvettes at 2′30″ after mixing and 48°00′00″ after mixing.
The light through the octanol phases of all cuvettes was blocked, indicating that they contained hydrophobic dispersion. At 2′30″ after mixing, the sonicated dispersion was observed to be better dispersed in the aqueous phase than the unsonicated dispersion. Thus, a small but non-negligible portion of the pigment dispersion had become hydrophilic.
At 48°00′00″ after mixing, the sonicated dispersion was almost, but not entirely, as clear as the unsonicated solution. This finding indicates that only a fraction of the hydrophilized pigment dispersion remained hydrophilic, whilst the remainder had become hydrophobic again, as it had been before sonication.
Quantitative results are presented in the form of grayscale intensity histograms as a function of time, for all sonicated cuvettes combined and for the unsonicated controls. Figure 5 shows these intensity histograms at four timestamps after mixing. Immediately after mixing, the histogram of the sonicated samples was farthest left on the x-axis, at a position corresponding to the darkest grayscale intensity values. Over time, the histograms of the sonicated samples shifted to the right side of the x-axis. The histograms of the unsonicated controls were positioned on the far right of the x-axis, which corresponded to the brightest grayscale intensity values. After 48 hours, the histogram of the sonicated samples remained further left than that of the unsonicated controls. This finding indicates that most of the particles that lost their hydrophobicity after sonication had regained it over time. However, as the mean intensity remained below that of the controls, a straightforward explanation may be that some particles lost their hydrophobicity more permanently during the sonication process.
The means of the data shown in Figure 5 were used for computation of the absorption coefficients using equation (4). The differences in absorption coefficients between unsonicated and sonicated dispersions as a function of time Δα (t) are shown in Figure 6 .
The mean values of all data measured at set time intervals were Δα (2′30″) = 80 ± 13 m−1, Δα (5′00″) = 76 ± 9 m−1, Δα (7′30″) = 53 ± 17 m−1, and Δα (48°00′00″) = 16 ± 9 m−1.
These findings indicate that the carbon black particles became more hydrophobic over time, but did not reach the hydrophobicity observed before sonication. Thus, some particles remained hydrophilic after sonication, whilst others became hydrophobic again.
This outcome has proven the existence of Janus particles in pigment dispersion.
Furthermore, an effect of ultrasound on the hydrophobicity of initially hydrophobic particles has been experimentally confirmed.
The colorimetry methodology used in this study resulted in absorption coefficient differences with standard deviations between 12% and 56%. Despite these large errors, the measured Δα values could be considered significantly different. Any differences in absolute values between sets of vials may be explained by minute differences in ambient lighting conditions varying between experiments.
In the previous part of this study, we used very low acoustic amplitudes to prevent any unwanted mixing effects from inertial cavitation. In addition to these experiments, we performed experiments at higher-amplitude sonication using commercial clinical ultrasound equipment. Figure 7 shows the grayscale intensity of brightness-mode ultrasound images from a tissue-mimicking phantom receptacle with a cylindrical well filled with undiluted pigment dispersion. The backscattered intensity was observed to drop compared to the backscattered intensity of the surrounding phantom tissue. This preliminary dataset supports the hypothesis that the hydrophobicity of pigment dispersion may change over time as a result of sonication.