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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Bioeng. Biotechnol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Bioengineering and Biotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Bioeng. Biotechnol.</abbrev-journal-title>
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<issn pub-type="epub">2296-4185</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1737616</article-id>
<article-id pub-id-type="doi">10.3389/fbioe.2026.1737616</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Using silica nanoparticles to deliver antibiotics for treating Gram-positive bacterial infections in a 3D-bioprinted dermal model</article-title>
<alt-title alt-title-type="left-running-head">de Andrade et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fbioe.2026.1737616">10.3389/fbioe.2026.1737616</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>de Andrade</surname>
<given-names>Thiago Antonio Moretti</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<name>
<surname>Suleman</surname>
<given-names>Ariyan</given-names>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Scheck</surname>
<given-names>Kali</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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<surname>Sharma</surname>
<given-names>Ruchi</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>3</sup>
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<surname>Benwood</surname>
<given-names>Claire</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Brolo</surname>
<given-names>Alexandre</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<surname>Willerth</surname>
<given-names>Stephanie M.</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<xref ref-type="aff" rid="aff7">
<sup>7</sup>
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<aff id="aff1">
<label>1</label>
<institution>Department of Mechanical Engineering, University of Victoria</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>School of Medical Sciences, University of Victoria</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Department of Biomedical Engineering, University of Victoria</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Department of Chemistry, University of Victoria</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Axolotl Biosciences</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Centre for Advanced Materials and Technology, University of Victoria</institution>, <city>Victoria</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<aff id="aff7">
<label>7</label>
<institution>School of Biomedical Engineering, University of British Columbia</institution>, <city>Vancouver</city>, <state>BC</state>, <country country="CA">Canada</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Stephanie M. Willerth, <email xlink:href="mailto:willerth@uvic.ca">willerth@uvic.ca</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-17">
<day>17</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1737616</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>01</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 de Andrade, Suleman, Scheck, Sharma, Benwood, Brolo and Willerth.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>de Andrade, Suleman, Scheck, Sharma, Benwood, Brolo and Willerth</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-17">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Bacterial antibiotic resistance has emerged as a significant global threat, making it increasingly challenging to effectively treat infections in patients. Nanomedicine technologies can be implemented for the targeted delivery of medications and drugs to patients. This work investigates the use of silica nanoparticles (SiNPs) loaded with the clindamycin and tetracycline antibiotics to treat Staphylococcus epidermidis infection in a 3D-bioprinted dermal model. SiNPs are stable, biocompatible, and can be loaded with small molecules like antibiotics.</p>
</sec>
<sec>
<title>Methods</title>
<p>The SiNPs were synthesized and loaded with antibiotics. The loading efficiency of the SiNPs was determined by UV-Vis spectroscopy and high-performance liquid chromatography. Dome-shaped constructs containing fibroblasts were 3D printed using a fibrin-based bioink to mimic the dermis of skin. These constructs were then inoculated with bacterial cultures labeled with green fluorescent protein (GFP) 4 days post printing and then treated with antibiotic-loaded SiNPs to determine their effect on bacterial growth. After the incubation phase, the bacteria were cultured in broth to determine the colony-forming unit (CFU) count on toxin superantigen (TSA) plates containing 10 mg/mL chloramphenicol.</p>
</sec>
<sec>
<title>Results and Discussion</title>
<p>The CFU count of the 3D-bioprinted human constructs samples treated with antibiotics was significantly lower than both the SiNP-treated and untreated samples. The results suggest that antibioticreleasing SiNPs can serve as a more efficient treatment for skin bacterial infections.</p>
</sec>
</abstract>
<kwd-group>
<kwd>3D bioprinting</kwd>
<kwd>antibiotics</kwd>
<kwd>drug delivery</kwd>
<kwd>fibroblasts</kwd>
<kwd>Gram-positive bacteria</kwd>
<kwd>nanomedicine</kwd>
<kwd>silica nanoparticle</kwd>
<kwd>skin human model</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by FAPESP, Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo, Brazil (grant number: 2020/12937-0) (TA), the NSERC Discovery Grant Program, Canada (SW), the Canada Research Chairs program (SW), the NSERC CREATE program in 3D printing technology, Canada, NSERC Lab2Market funding, Canada, and the University of Victoria&#x0027;s Nanotherapeutics Cluster (SW).</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="13"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Tissue Engineering and Regenerative Medicine</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Antibiotics are commonly used to control bacteria that cause severe illnesses and infections. Since the introduction of antibiotics, their subsequent mass production has led to a massive increase in bacterial resistance in microorganisms. The rapid and global dissemination of antibiotic resistance has been compounded by the lack of surveillance tools for monitoring its spread. The spread of antibiotic-resistant bacteria poses a serious problem for healthcare providers, as most medical interventions require antibiotics to reduce the risk of infection (<xref ref-type="bibr" rid="B22">Hutchings et al., 2019</xref>). The increase in the number of antibiotic-resistant bacteria is a major burden to the healthcare system. The World Health Organization estimates that by 2050, the number of deaths associated with drug-resistant bacteria will reach 10 million per year (<xref ref-type="bibr" rid="B15">Fulaz et al., 2020</xref>).</p>
<p>As antibiotics have become more commonly used in agriculture, hospital settings, and the over-prescription in communities for non-bacterial infections, certain bacteria have developed tolerance or resistance to the treatments by adapting to the targets of the antibiotics. The rising emergence of strains of <italic>Staphylococcus aureus</italic> that are resistant to all beta-lactam antibiotics, grouped as MRSA (methicillin-resistant <italic>Staphylococcus aureus</italic>), has caused hospitals to change their approach in how they detect and treat bacterial infections. The use of various antibiotics has caused more difficulty in the treatment of resistant microbes due to the alternative doses, as well as the higher doses needed (<xref ref-type="bibr" rid="B9">David and Daum, 2010</xref>). Members of the genus <italic>Staphylococcus</italic>&#x2014;a group of Gram-positive bacteria&#x2014;appear in a coccal shape and usually form clusters. Several of them are unable to cause disease and live commensally on the skin as part of the skin microbiota. <italic>Staphylococcus epidermidis</italic> can cause serious complications in catheters and surgical implants by forming biofilms (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>), which are structurally confluent layers of bacteria that form a protective layer for the microorganism (<xref ref-type="bibr" rid="B3">Archer et al., 2011</xref>).</p>
<p>Tetracycline hydrochloride (HCl), a broad-spectrum antibiotic, can treat both Gram-positive and Gram-negative bacteria intravenously and orally. Globally, an 8.7% resistance has been observed in <italic>S. aureus</italic> to methicillin. The acquisition of resistance can be due to several factors, including mobile genetic elements that carry tetracycline-specific resistance mutations, chromosomal mutations, or ribosomal binding site mutations. The efflux and enzymatic inactivation of tetracycline are the main mechanisms of action affected, leading to resistance and further success of the bacteria (<xref ref-type="bibr" rid="B17">Grossman, 2016</xref>). In <italic>S. aureus</italic>, tetracycline is inhibited in multidrug resistance by utilizing the MATE-family efflux pump. Little is known about the resistance in Gram-positive species, but overexpression of MepA leads to reduced susceptibility to the tetracycline antibiotic class (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>). The increased resistance due to efflux inhibition makes it an ideal candidate for inclusion into silica nanoparticles (SiNPs) due to an increased concentration that would have a longer saturation time and overcome the efflux pump. Tetracycline was also selected due to the conferred resistance that is present in the genome of the acquired strain from the American Type Culture Collection (ATCC).</p>
<p>The antibiotic clindamycin HCl can treat <italic>S. aureus</italic> infections in various locations, including strep throat, bone, and joints. It has been useful in the specific treatment of MRSA, specifically in skin and soft tissue infection (<xref ref-type="bibr" rid="B36">Shoji et al., 2015</xref>). Clindamycin can increase the incidence of <italic>Clostridium difficile</italic> infection (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>), which is detrimental to patients due to the severe impact that it can have on the normal bacterial flora. Accordingly, the use of oral antibiotics is only recommended as a last resort in certain cases where the patient needs emergency treatment.</p>
<p>The use of silica nanoparticles (SiNPs) has become increasingly popular for drug delivery applications. Using SiNPs to deliver hydrophobic drugs results in improved drug absorption by reducing degradation, as they have a protective effect on their encapsulated cargo. Drug loading allows the drugs to penetrate acutely into the pore channels of the carrier, thus allowing more contact time with a higher concentration of the drug of interest (<xref ref-type="bibr" rid="B41">Wang et al., 2015</xref>). Localized drug delivery can considerably decrease the microorganism count within an infection site, reducing the amount of antibiotic that must be delivered for treatment (<xref ref-type="bibr" rid="B23">Imran et al., 2022</xref>). Accordingly, nanotechnologies present a potential therapeutic way to combat antibiotic-resistant bacteria that pose a medical threat to patients by reducing the dose and providing localized delivery of antibiotics compared to systemic administration (<xref ref-type="bibr" rid="B27">Love et al., 2012</xref>). The size of the nanoparticles enables them to pass through cell membranes, but they might not be able to enter the cell nucleus. Larger particles would be ideal for human patients, as they will be less likely to cross membranes or affect cellular processes. The use of more stable nanoparticles that are made of safer and well-understood materials is the best approach to reducing the risk of exposure that could be harmful to the patient and impede cellular functions (<xref ref-type="bibr" rid="B39">Sukhanova et al., 2018</xref>). SiNPs present lower toxicity than other particles made of metals. SiNPs are useful for the high surface area that allows the easier incorporation of drugs at a similar weight to the particle itself at a ratio of 1:1 (<xref ref-type="bibr" rid="B18">Gulin-Sarfraz et al., 2019</xref>). The use of SiNPs as a drug carrier has the added advantage of being able to target the tissue/organ of choice and deliver a higher dosage of drug to the region of interest. This property is specifically of interest due to the prevalence of systemic side effects that antibiotics can cause, also correlating to a higher dosage that is necessary to effectively kill the pathogen. Using SiNPs as a carrier for antibiotics reduces the need for greater dosage treatment and longer patient follow-through (<xref ref-type="bibr" rid="B29">Mebert et al., 2016</xref>). Nanoparticle size also influences toxicity (<xref ref-type="bibr" rid="B43">Maccuaig et al., 2022</xref>; <xref ref-type="bibr" rid="B44">Watermann and Brieger, 2017</xref>). The use of nanoparticles can greatly enhance the antibiotic effectiveness by avoiding microbial detection, deactivating the biofilm formation, and increasing the concentration around the target cells (<xref ref-type="bibr" rid="B15">Fulaz et al., 2020</xref>). SiNPs can increase the distribution of antibiotics within bacterial growth colonies that are adherent to a surface (<xref ref-type="bibr" rid="B10">de la Fuente-N&#xfa;&#xf1;ez et al., 2013</xref>). Targeted delivery can also reduce side effects in patients while increasing the local dosage. This form of therapy can be vital to hospitalized critical-care patients in hospitals with severe infections involving <italic>S. aureus</italic> and other pathogenic bacteria (<xref ref-type="bibr" rid="B21">Hussain et al., 2018</xref>).</p>
<p>Three-dimensional (3D) bioprinting can fabricate anatomically and functionally relevant skin constructs by depositing viable cells and tailored bioinks with spatial precision. The Willerth laboratory at the University of Victoria (Victoria, BC, Canada) was the first academic group to use the microfluidic Aspect Biosystems RX1 (Lab-on-a-Printer&#x2122;) platform for bioprinting human stem cell-derived neural tissues with high viability and reproducibility using a novel fibrin-based bioink formulation (<xref ref-type="bibr" rid="B1">Abelseth et al., 2019</xref>; <xref ref-type="bibr" rid="B5">Benwood et al., 2023</xref>; <xref ref-type="bibr" rid="B11">de la Vega et al., 2018</xref>; <xref ref-type="bibr" rid="B34">Sharma et al., 2020</xref>). They have also recently bioprinted skin models using the Bio X extrusion-based bioprinter produced by CELLINK. <xref ref-type="bibr" rid="B2">Andrade et al. (2024)</xref> bioprinted a novel skin co-culture model using human keratinocytes and fibroblasts to mimic the dermal compartment of the skin, thereby laying the foundation for a model of the epidermis&#x2013;dermis interface. This approach leverages the spatial control of bioprinting and the biomimetic environment of a tailored bioink to recreate the relevant dermal architecture and cell population <italic>in vitro</italic>. It also reported the rheological properties of the bioink used in the present study. <xref ref-type="bibr" rid="B13">Diaz et al. (2025)</xref> have used these tissues as a way to model infection with <italic>Staphylococcus aureus</italic> and <italic>Staphylococcus epidermidis</italic> to mimic bacterial skin disease with the fibrin-based bioink commercialized by Axolotl Biosciences. <xref ref-type="bibr" rid="B24">Jorgensen et al. (2023)</xref> integrated six distinct human dermal cell types into a multilayered skin construct using extrusion bioprinting. <italic>In vitro</italic> assessments revealed that this construct preserved a tri-layered architecture and underwent appropriate maturation. In murine models, the construct expedited the process of wound healing while facilitating neovascularization and the remodeling of the extracellular matrix, thereby mitigating fibrosis and scar formation. In porcine models, the application of an autologous porcine bioprinted skin construct resulted in enhanced epithelialization and diminished wound contraction, indicating that bioprinted skin may serve as a viable alternative for the treatment of human full-thickness wounds.</p>
<p>In this study, we used a bioprinted dermal tissue model consisting of fibroblasts as our platform for modeling bacterial infection in skin and determining the effect of antibiotic-loaded SiNPs on the rate of infection. The goal of this work is to investigate SiNPs loaded with clindamycin and tetracycline antibiotics as a treatment for <italic>Staphylococcus epidermidis</italic> infection in our 3D-bioprinted dermal model containing human fibroblasts. We demonstrated that antibiotic-releasing SiNPs reduced the bacterial load in these 3D-bioprinted models. Additionally, this dermal model represents a step forward in infection modeling for antimicrobial testing and offers a scalable and ethical testing platform compared to animal models.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Synthesis of SiNPs</title>
<p>SiNPs were made by reacting 7.5&#xa0;mL of cyclohexane, 1.8&#xa0;mL of hexanol-1, and 1.7&#xa0;g of Triton X-100 and stirring them at 800&#xa0;rpm for 1.0&#xa0;h. This solution was then mixed with 500&#xa0;&#xb5;L of dH<sub>2</sub>0 and 100&#xa0;&#xb5;L of ammonia &#x3e;99%. The particles were allowed to sit for a period of 1&#xa0;h while stirring, and tetraethyl orthosilicate (TEOS) &#x3e; 98% was added at a volume of 100&#xa0;&#xb5;L to the solution. This mixture was allowed to stabilize, and then 100&#xa0;&#xb5;L of TEOS was added to increase the particle size. The particles were left spinning, covered in aluminum foil, for 3 days. The final volume added was &#x2248;300&#xa0;&#xb5;L. The solution was opened, and the excess of ammonia was allowed to evaporate. The solution was centrifuged at 10,000&#xa0;rpm for 10&#xa0;min to remove unreacted reactants. The supernatant was removed from the pellet. The pellets were washed with 0.1&#xa0;M HEPES buffer and centrifuged three more times at 10,000&#xa0;rpm until the particles were removed from excess organic solvents. The pellets were resuspended in HEPES buffer and then stored in the fridge at 4&#xa0;&#xb0;C for a period of 8&#xa0;h. SiNPs were always made fresh before experiments were conducted (<xref ref-type="bibr" rid="B6">Brito-Silva et al., 2013</xref>; <xref ref-type="bibr" rid="B38">Sobral-Filho et al., 2017</xref>). Transmission electron microscopy (TEM) was used to image the particles, and these images were acquired in a Jeol 1011 transmission electron microscope.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Antibiotic incubation with SiNPs</title>
<p>The SiNPs were removed from the 4&#xa0;&#xb0;C fridge and centrifuged at 8,000&#xa0;rpm for 10&#xa0;min. An aliquot of 1.0&#xa0;mL of freshly prepared 0.1&#xa0;M HEPES was added to the centrifuged tube, and the tubes were suspended on a floating foam raft in a sonication water bath for 30&#xa0;min at 80&#xa0;kHz in ice water at a temperature of &#x2248;4&#xa0;&#xb0;C&#x2013;8&#xa0;&#xb0;C. The tubes were then removed, and the particles were centrifuged at 5,000&#xa0;rpm for 2&#xa0;min with the supernatant discarded. A solution was made using two different kinds of antibiotics: clindamycin hydrochloride and tetracycline hydrochloride, both with purities greater than &#x3e;99%. The antibiotic removed from &#x2212;20&#xa0;&#xb0;C freezer was dissolved in 0.1&#xa0;M HEPES buffer (1.14&#xa0;g in 40&#xa0;mL dH<sub>2</sub>O), and the antibiotic was kept on ice for the duration of the incubation with the SiNPs. The concentration of 200&#xa0;mg/mL for both antibiotics was added at a 1:1 volume with the SiNPs to create a final concentration of 100&#xa0;mg/mL for this specific concentration gradient. The SiNPs were kept at 4&#xa0;&#xb0;C on a rotary shaker at 300&#xa0;rpm for 24&#xa0;h after incubation with the antibiotic. The SiNPs were used immediately. Every experiment was conducted using freshly prepared particles produced in batches of &#x3e;100&#xa0;mL (<xref ref-type="bibr" rid="B16">Gounani et al., 2018</xref>). The particles were initially stored in PBS buffer, but this caused the particles to disintegrate. The SiNPs were put into microtubes and then centrifuged at 10,000&#xa0;rpm for 5&#xa0;min to spin down the particles, and then the supernatant was removed and discarded. Various concentrations of antibiotics were then tested as the optimal loading capacity was determined, ranging from 500&#xa0;mg to 8&#xa0;&#xb5;g of clindamycin hydrochloride (HCl) and tetracycline HCl. The amounts of antibiotic were weighed on a top-loading scale, the material was transferred to a clean microtube, and 1.0&#xa0;mL of HEPES buffer was added to the vial. Serial dilutions were performed if needed. The dose range was selected to mimic an oral dosage of the antibiotics.</p>
<sec id="s2-2-1">
<label>2.2.1</label>
<title>SiNP-tetracycline and SiNP-clindamycin release analysis</title>
<p>The SiNPs were then sonicated at 80&#xa0;kHz for 20&#xa0;min, followed by centrifugation at 10,000&#xa0;rpm for 5&#xa0;min. The supernatant was removed, and the particles were resuspended in fresh, sterile 0.1&#xa0;M HEPES buffer that was filtered through 0.2-&#x3bc;m syringe filters. The supernatant was placed in microtubes that were previously autoclaved and then run on high-performance liquid chromatography (HPLC) to determine if the supernatant contained the desired antibiotic. Two standards were run on the HPLC, one each for tetracycline and clindamycin. A standard curve was run for clindamycin, as it was the antibiotic of choice. The samples were run in triplicate for each group: clindamycin SiNP-loaded, tetracycline SiNP-loaded, and SiNPs alone (no antibiotic in the supernatant samples).</p>
<p>The samples were run on the HP 1100 HPLC system that was constructed with a quaternary pump, a flow-through needle sample manager, a column selection module with an oven compartment, a diode array detector (DAD), and a fluorescence detector. All solvents were HPLC grade. The flow rate was set to 1.0&#xa0;mL/min, and the injection was set to 20&#xa0;&#x3bc;L. The column used was a Kinetex column (2.6 &#x3bc;, C18, 100 &#xc5;) with dimensions of 4.6&#xa0;mm &#xd7; 150&#xa0;mm. The column was kept at room temperature. The DAD was set to scan from 190&#xa0;nm to 440&#xa0;nm, and the system was set to collect a signal at 210&#xa0;nm with a bandwidth of 10&#xa0;nm. Solvent C was set as Optima&#x2122;/Chromasolv acetonitrile (Fisher Chemical) while solvent D was set as Milli-Q&#x2122; water (Millipore) with 0.1% Optima&#x2122; trifluoroacetic acid (Fisher Chemical). The run started at 90% solvent D isocratic for 1&#xa0;min, and then a gradient set to 50% of solvents C &#x2b; D at 6&#xa0;min, followed by another gradient to 90% of solvent C at 10&#xa0;min, and then held isocratically for 1 extra min. The column was conditioned back to original conditions by reverting to 90% of solvent D using a gradient from 11 min to 13&#xa0;min and then held for 5&#xa0;min to completely flush the column for a total run time of 18&#xa0;min. Once the HPLC was completed, the data were examined to determine if the peaks that were present were within a margin of error to confirm that the antibiotic was present after iterations of washing the particles. The HPLC with UV detection data were collected using a 90% aqueous mobile phase with 10% acetonitrile. This was followed by a gradient to 90% ACN with 10% water while the stationary phase was a C18 reversed-phase silica gel. The antibiotics were incubated with the SiNPs for a period of 24&#xa0;h and then were washed 3&#xd7; in HEPES buffer. The supernatant was then removed after the third wash and run on HPLC. The data were examined, and the following controls were run: bare SiNPs, clindamycin HCl standard, tetracycline HCl standard, and HEPES buffer. Samples were run in triplicate to ensure reproducibility.</p>
</sec>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Culturing <italic>Staphylococcus aureus</italic>
</title>
<p>
<italic>Staphylococcus aureus</italic> ATCC 27217 (ATCC, Virginia, US) and <italic>Staphylococcus epidermidis</italic> (obtained from the Biochemistry and Microbiology Department, University of Victoria) were cultured in Luria&#x2013;Bertani (LB) broth (Thermo Fisher Scientific, Massachusetts, US). Bacteria were mixed with 2.0&#xa0;mL of LB broth in a clean glass test tube and placed in a 37&#xa0;&#xb0;C biological incubator for an 18&#xa0;h period to create an overnight broth culture. The bacteria were then expanded by taking 1.0&#xa0;mL and adding it to 9.0&#xa0;mL of fresh LB broth that had been previously autoclaved. The broth tube was placed in the incubator at 37&#xa0;&#xb0;C at 300&#xa0;rpm for 2&#x2013;4&#xa0;h to obtain the exponential phase of bacterial growth of OD<sub>600</sub> 0.2&#x2013;0.4, determined after growth cultures were taken at different ratios. Aliquots (1.5&#xa0;mL) were removed and placed in a spectrophotometer blanked with the sterile LB broth. The aliquot of bacteria was placed in the clean cuvette, and the OD<sub>600</sub> value was given as a value between 0 and 2. The OD<sub>600</sub> was determined in the exponential phase of growth of the bacteria by comparison to literature values of <italic>Staphylococcus aureus</italic> OD<sub>600</sub> over a period of 24&#xa0;h.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Bacterial minimum inhibitory concentration (MIC) test for <italic>Staphylococcus aureus</italic>
</title>
<p>The bacteria were inoculated by transferring aliquots with serological pipettes into autoclaved media bottles (Thermo Fisher Scientific, Massachusetts, US). Clindamycin hydrochloride (Hello Bio<sup>&#xae;</sup>, New Jersey, US) and tetracycline hydrochloride (Sigma-Aldrich, Missouri, US) were the two antibiotics tested in this experiment. Distilled water was used to make up the LB and toxin superantigen (TSA) (Thermo Fisher Scientific, Massachusetts, US) media. Bacteria were grown at 37&#xa0;&#xb0;C with shaking at 300&#xa0;rpm for 4&#xa0;h, then read at an OD<sub>600</sub> of &#x2248;0.70 (0.71 was the actual recorded value). Clindamycin HCl was diluted to a concentration of 8.0&#xa0;mg/mL in HEPES buffer 0.1&#xa0;M and kept on ice by weighing 8&#xa0;mg of &#x2212;20&#xa0;&#xb0;C clindamycin antibiotic and adding 1.0&#xa0;mL of HEPES buffer 0.1&#xa0;M. A 1.0&#xa0;mL aliquot of the broth culture was placed in each well of a 12-well plate, and 1.0&#xa0;mL of the clindamycin sample was added to the first well. 1.0&#xa0;mL was removed and mixed into the second well using a clean sterile filter tip for each well. The serial dilution was finished by discarding the remaining contents after the last well was completed. The well plate was wrapped in parafilm and incubated at 37&#xa0;&#xb0;C in the bacteria incubator. The 12-well plate was then incubated for 24&#xa0;h to allow the culture to grow, and the visual determination of the MIC was considered based on the qualitative appearance of growth/no growth that was present in each well.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Bacterial incubation with SiNP-loaded antibiotics</title>
<p>
<italic>Staphylococcus aureus</italic> was incubated as described above, and 1.0&#xa0;mL of the culture was plated into each well of a 12-well plate. Different amounts of clindamycin HCl (500&#xa0;mg, 250&#xa0;mg, 100&#xa0;mg, and 62.5&#xa0;mg) were diluted in 1.0&#xa0;mL of 0.1&#xa0;M HEPES buffer. SiNPs were previously sonicated at 80&#xa0;Hz in a water bath sonicator filled with ice, &#x2248;4&#xa0;&#xb0;C, for 30&#xa0;min. The SiNP particles were then removed and incubated with 1.0&#xa0;mL of the antibiotic solution and placed in a rotary incubator shaker set at 4&#xa0;&#xb0;C and 300&#xa0;rpm for 24&#xa0;h. After incubation, 1.0&#xa0;mL of the antibiotic solution was added to the culture broth and incubated in the bacterial incubator for 24&#xa0;h at 37&#xa0;&#xb0;C, with shaking at 300&#xa0;rpm. The plate was placed in the Cytation 5 plate reader, and the absorbance was read at OD<sub>600</sub> to determine whether the bacterial concentration had decreased after the incubation with the antibiotics.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Culturing fibroblasts</title>
<p>Fibroblast cells (Primary Dermal Fibroblast Normal; Human, Neonatal (HDFn), ATCC<sup>&#xae;</sup> PCS-201-010&#x2122;&#x2014;Neonatal foreskin fibroblasts, male donor) were used. Cells were transferred into a T75 flask (Thermo Fisher Scientific, Massachusetts, US) containing 15&#xa0;mL of fibroblast growth media (DMEM, high glucose, no glutamine, no phenol red (Thermo Fisher Scientific, Massachusetts, US) &#x2b; fetal Bovine Serum (FBS) certified 15% &#x2b; 1% GlutaMAX (Thermo Fisher Scientific, Massachusetts, US), and Hanks Balanced Salt Solution (HBSS) (Thermo Fisher Scientific, Massachusetts, US) in a biological safety cabinet (BSC). The T75 flask containing cells was placed in a 37&#xa0;&#xb0;C, 5% CO<sub>2</sub> incubator overnight. Cell cultures were monitored using phase-contrast microscopy. After initial cell culture, 1.0&#xa0;mL of trypsin was added for cell passage. Cells were maintained by replacing the culture media every 3 days.</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>3D bioprinting of fibroblasts into constructs</title>
<p>The fibrin-based bioink was prepared based on previously published articles (<xref ref-type="bibr" rid="B1">Abelseth et al., 2019</xref>; <xref ref-type="bibr" rid="B5">Benwood et al., 2023</xref>; <xref ref-type="bibr" rid="B11">de la Vega et al., 2018</xref>; <xref ref-type="bibr" rid="B34">Sharma et al., 2020</xref>). The mechanical and rheological properties of this bioink were reported previously (<xref ref-type="bibr" rid="B35">Sharma et al., 2021</xref>). Fibroblasts were resuspended in a fibrin-based bioink at a concentration of 1.0 &#xd7; 10<sup>6</sup> cells/mL. Dome-shaped constructs were bioprinted based on the specifications detailed in the relevant CAD file (<xref ref-type="fig" rid="F1">Figure 1</xref>) generated using Aspect&#x2019;s studio software (V1.2.59.0, Aspect Biosystems, Vancouver, BC, Canada) using a rectilinear infill pattern in a repeated layer-by-layer fashion. The constructs consisted of six deposited layers of cell-laden bioink, according to previous studies (<xref ref-type="bibr" rid="B34">Sharma et al., 2020</xref>). Specific pressures are applied to each channel to monitor the flow rate to provide sufficient time for the crosslinking reaction to occur. The bioprinting speed was 25&#xa0;mm/s, and the pressures for bioink, crosslinker, and buffer channels were 50&#xa0;mbar, 60&#xa0;mbar, and 100&#xa0;mbar, respectively. The final structure comprised a 1.0-cm-diameter dome with six fiber layers, with an average width of &#x223c;1.1&#xa0;cm and a height of &#x223c;0.7&#xa0;cm.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>3D-bioprinted CAD file that was used to print the fibroblast construct. The final dome-shaped structure had a 1.0&#xa0;cm diameter and six layers of fibers with an average width of &#x2248;1.1&#xa0;cm and a height of &#x2248;0.7&#xa0;cm (Aspect studio software, V1.2.59.0, Aspect Biosystems, Vancouver, BC, Canada).</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g001.tif">
<alt-text content-type="machine-generated">3D modeling software interface displays a blue, spherical object with visible horizontal layers, positioned at the center of a grid-lined workspace representing the build area for digital design or 3D printing.</alt-text>
</graphic>
</fig>
<p>The RX1 was used to 3D bioprint skin constructs containing fibroblasts in each well of a 12-well plate, and then 2.0&#xa0;mL of fibroblast media was added to each well. Fibroblast media was made by adding 34&#xa0;mL of phenol-free DMEM to a sterile conical and adding 15&#xa0;mL of FBS and 1.0&#xa0;mL of 1% GlutaMAX. Fresh media was prepared for each experiment. The constructs were stained with the CellMask&#x2122; Deep Red Actin Tracking Stain (Thermo Fisher Scientific, Massachusetts, US) according to the manufacturer&#x2019;s instructions after printing. This process allowed for visualization under the confocal microscope using the appropriate excitation and emission.</p>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Bacterial incubation with SiNP-loaded antibiotics and 3D-bioprinted fibroblasts</title>
<p>
<italic>Staphylococcus aureus</italic> was grown to an OD<sub>600</sub> as described previously. SiNPs loaded with either clindamycin or tetracycline were spun down in a centrifuge at 10,000&#xa0;rpm and washed three times with equal amounts of 0.1&#xa0;M HEPES buffer (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic showing 3D bioprinting of human fibroblasts with the antibiotic clindamycin in SiNPs and <italic>S. epidermidis</italic>. The same setup was used to test tetracycline-loaded SiNPs and <italic>S. aureus</italic>.</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g002.tif">
<alt-text content-type="machine-generated">Illustration showing a laboratory well plate with a magnified view of a 3D printed skin construct, highlighting clindamycin nanoparticles and S. epidermidis (AH852) bacteria interacting with the skin model.</alt-text>
</graphic>
</fig>
<p>The constructs were moved with a spatula to three separate plates: one for clindamycin, one for tetracycline, and one for no treatment. The 12-well plate was opened, and 1.0&#xa0;mL of the overnight broth culture of <italic>S. aureus</italic> at OD<sub>600</sub> &#x2248; 0.70 was added to each well and placed at the side of the culture to allow the bacteria to disperse over the construct. The construct was moved to the Cytation 5 plate reader for incubation of the bacteria/fibroblast mixture with 5% CO<sub>2</sub> and was left for a period of 4&#xa0;h at 37&#xa0;&#xb0;C. After the incubation time, the 12-well plate was taken into the BSC, 1.0&#xa0;mL of each antibiotic-loaded-SiNP in 0.1&#xa0;M HEPES buffer was added to the wells, and the plate was placed back in the incubator for 6&#xa0;h. The BacLight&#x2122; LIVE/DEAD<sup>&#xae;</sup> Bacterial Viability Kit Protocol (kit L13152, Thermo Fisher Scientific, Massachusetts, US) was freshly prepared according to the manufacturer&#x2019;s instructions. A 1.0&#xa0;mL aliquot of the final solution was added to each well. Fluorescence levels were determined using the Cytation 5 plate reader using the Texas Red filter and the GFP filter after 15&#xa0;min of incubation wrapped in aluminum foil. The plate was then fixed with 1:1 methanol-free 4% formaldehyde in pre-sterile PBS and filtered. The well plate was then read on the confocal microscope by analyzing the excitation at 485&#xa0;nm and 530&#xa0;nm for the emission of the green fluorescence from Syto9, and 485&#xa0;nm excitation and 630&#xa0;nm emission of the red fluorescence from the propidium iodide. Zen Black software was used to image the bacterial constructs, and Zen Blue software was used to process the images and interpret the data.</p>
</sec>
<sec id="s2-9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>One-way ANOVA (analysis of variance) and Tukey&#x2019;s post-hoc test were performed for colony-forming units (CFUs) counting using GraphPad Prism 6.0 (GraphPad Software, Inc., La Jolla, CA, USA), which was also used to depict all graphs. A p-value &#x3c;0.05 was considered statistically significant. Data are presented as the mean &#xb1; standard error of the mean.</p>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<label>3</label>
<title>Results and discussion</title>
<sec id="s3-1">
<label>3.1</label>
<title>SiNPs loaded with antibiotics</title>
<p>SiNPs were synthesized and imaged using TEM by diluting them in ethanol and placing them on a TEM grid (<xref ref-type="fig" rid="F3">Figures 3a,b</xref>). The images were then analyzed on ImageJ software to determine the distribution size histogram, as shown in <xref ref-type="fig" rid="F3">Figure 3e</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(a,b)</bold> SiNPs were prepared and imaged on TEM in 10 mL of ethanol. <bold>(c,d)</bold> SiNPs prepared by synthesis with increased ammonia. <bold>(e)</bold> Histogram of SiNPs in <bold>(c,d)</bold> after synthesis and 3&#xd7; HEPES washing solution placed in ethanol and imaged on TEM. Number of counts n &#x3d; 115 to determine the size distribution of SiNPs after preparation.</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g003.tif">
<alt-text content-type="machine-generated">Panel a shows a transmission electron microscopy image of densely packed spherical nanoparticles with a scale bar of two hundred nanometers. Panel b depicts a similar arrangement at a scale of five hundred nanometers. Panel c highlights an aggregated cluster of nanoparticles with a scale of zero point five micrometers. Panel d presents another cluster with a comparable scale. Panel e displays a histogram with blue bars and an orange line showing particle size distribution, peaking near forty nanometers on the x-axis labeled &#x201C;Particle Size (nm)&#x201D; and y-axis labeled &#x201C;Counts&#x201D;.</alt-text>
</graphic>
</fig>
<p>The size distribution of the particles mainly fell in the 40&#x2013;50&#xa0;nm target after preparation (<xref ref-type="fig" rid="F3">Figure 3e</xref>). The size was controlled by the injection of TEOS, which increased the amount of orthosilicic acid in the system. Increasing size leads to decreased toxicity, as detailed by Mannerstr&#xf6;m et al. (2016). <xref ref-type="fig" rid="F3">Figures 3c,d</xref> show the greater polydispersity of the particles.</p>
<p>The buffer of choice for the nanoparticles needed to have no ultraviolet light absorbance, as HPLC was later used to detect the antibiotics of interest, which have a peak at &#x2248;220&#xa0;nm. There has been some analysis of the cytotoxic effects of light-exposed HEPES buffer due to the formation of hydrogen peroxide (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>). This limitation was overcome during the experimentation by creating a fresh solution before the experimentation. The solution was kept in a conical flask wrapped in aluminum foil to reduce the light able to penetrate the buffer. The buffer has membrane impermeability that is necessary because it will not penetrate the cells or the bacterial membrane (<xref ref-type="bibr" rid="B20">Hu et al., 2017</xref>). The particles were washed 3&#xd7; in an aqueous solution of pH 7.0 adjusted with a HEPES buffer balanced with sodium hydroxide.</p>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Phenotypic characterization of <italic>S. aureus</italic> and <italic>S. epidermidis</italic>
</title>
<p>The bacterial cultures were streaked onto Vogel and Johnson agar (VJA), which is classically used in diagnostics using plating methods rather than genomics to ensure species typing. The presence of black colonies after incubation for a maximum of 24&#xa0;h at 37&#xa0;&#xb0;C is a positive indication of <italic>S. aureus</italic>, along with a yellow border. <xref ref-type="fig" rid="F4">Figure 4a</xref> illustrates the plating technique that showed the red agar turning black/yellow. <italic>S. epidermidis</italic> was also cultured in VJA, and the presence of pink media was seen behind the black colonies, which can qualitatively distinguish the species.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(a)</bold> Vogel and Johnson agar (VJA) culture of <italic>S. aureus</italic> (Thermo Fisher Scientific). <bold>(b)</bold> Top plate: <italic>S. aureus</italic>; and bottom plate: <italic>S. epidermidis</italic>, both grown on TSA at 37&#xa0;&#xb0;C for 18&#xa0;h.</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g004.tif">
<alt-text content-type="machine-generated">Panel a shows a close-up of a petri dish containing numerous black bacterial colonies streaked on a reddish agar surface. Panel b displays two separate petri dishes with yellow and pale bacterial colonies streaked in a zigzag pattern on transparent agar. Both panels demonstrate bacterial colony morphology and streaking technique on nutrient media.</alt-text>
</graphic>
</fig>
<p>
<italic>Staphylococcus aureus</italic> can be diagnosed in several ways, depending on the type of infection and location. The initial step involved is the Gram stain test, which will indicate a Gram-positive species of bacteria that will appear in clustered cocci form (<xref ref-type="bibr" rid="B32">Prasad et al., 2012</xref>). The next plating technique was done on MacConkey agar to examine the lactose-fermenting abilities of bacteria. It is categorized as a selective and differential medium (Sigma-Aldrich). The agar was used in this study to examine the difference between <italic>Staphylococcus aureus</italic> and <italic>Staphylococcus epidermidis</italic>, the two bacterial species used. <italic>Staphylococcus aureus</italic> can ferment lactose, causing the pink plate to turn yellow. In contrast, <italic>Staphylococcus epidermidis</italic> cannot ferment lactose, and the plate will stay pink. This test was completed for both species grown on the same plate at 37&#xa0;&#xb0;C for 24&#xa0;h to confirm the identity of both species.</p>
<p>The VJA agar and MacConkey agar were subcultured from the original TSA plates. Other testing, such as the coagulase test, was done on both species, and <italic>S. aureus</italic> was found to be positive, while <italic>S. epidermidis</italic> was negative. <xref ref-type="fig" rid="F4">Figure 4b</xref> shows that <italic>S. aureus</italic> grown on TSA had a characteristic yellow color when streaked (top), and <italic>S. epidermidis</italic> had white colonies (bottom). This was further accompanied by a literature study that illustrated the name &#x201c;aureus,&#x201d; meaning gold, characterized the 2&#x2013;3&#xa0;mm diameter circle of gold pigment produced by the colonies of <italic>S. aureus</italic> (<xref ref-type="bibr" rid="B30">Pal et al., 2023</xref>). This contrasted with the small white colonies 1&#x2013;2&#xa0;mm in diameter. This identification was found to be consistent with all TSA plating. This analysis confirmed the species of bacteria as the species of interest and, for the purposes of this study, that they could be compared in the analysis. Antibiotic sensitivity testing was conducted on the primary species of interest, <italic>S. aureus</italic>, grown in a confluent layer with two antibiotic discs, tetracycline and vancomycin, respectively. The disks were placed on TSA agar plates and then positioned in a bacterial incubator for 24&#xa0;h (<xref ref-type="sec" rid="s12">Supplementary Material S1</xref>) to confirm susceptibility.</p>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Characterization of antibiotic-laden nanoparticles</title>
<p>This study selected two antibiotics of interest due to their molecular structure and current treatment of <italic>S. aureus</italic> bacterial infections. The samples were run on HPLC to determine if the antibiotic was observed after the washing stages. Antibiotic standards were run in buffer to determine the peaks of interest for clindamycin HCl and tetracycline HCl. The HEPES buffer was also run. Samples were run in triplicate (clindamycin-loaded SiNP supernatant, tetracycline-loaded SiNP supernatant, and bare SiNPs not loaded with antibiotics) (<xref ref-type="sec" rid="s12">Supplementary Figure S2</xref>). The HPLC detection of clindamycin post incubation and washing in the supernatant of SiNP data is presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>HPLC detection of clindamycin post-incubation and washing of the SiNP supernatant.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Sample retention time (min)</th>
<th align="center">Retention time (min)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Clindamycin standard in HEPES buffer 200&#xa0;mg/mL</td>
<td align="center">6.286</td>
</tr>
<tr>
<td align="left">Clindamycin 500&#xa0;mg/mL supernatant in HEPES buffer after incubation with SiNPs</td>
<td align="center">6.209</td>
</tr>
<tr>
<td align="left">Clindamycin 200&#xa0;mg/mL supernatant after incubation with SiNPs</td>
<td align="center">6.191</td>
</tr>
<tr>
<td align="left">HEPES buffer</td>
<td align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The presence of the antibiotic could be observed in the data sets obtained by HPLC analysis. As a control, an initial weight sample of clindamycin HCl in 500&#xa0;mg/mL in water was used to determine whether any peaks were present and to determine the mobile phase. Clindamycin HCl was also tested in ethanol and in buffer. Due to the polarity and hydrophobicity of the molecule, it was difficult to determine the optimal pH range, which was achieved by adding 1&#x2013;2 sodium hydroxide pellets into the buffer to neutralize the solution to &#x2248; pH 7.5, which was confirmed using pH strips. Further analysis was completed to create a standard curve using five standards. This was challenging, as saturation of the antibiotic in the buffer solution was difficult to overcome. Clindamycin was determined to be optimal in the HEPES buffer at 14.2&#xa0;mg/mL, and this was then serially diluted by adding 500&#xa0;&#x3bc;L of this original standard to 500&#xa0;&#x3bc;L of fresh buffer that was prepared on the day of the experiment.</p>
<p>The presence of clindamycin HCl was verified using the HPLC method due to the lack of specificity and accuracy of UV-Vis spectrophotometry (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>). The amount of antibiotic was quantified using a calibration curve to detect the presence of clindamycin HCl recovered in a sample. This method of recovery extraction is needed to determine the amount of loss of antibiotic due to washing and to determine the loading capacity and saturation levels. The loading of clindamycin HCl into the SiNPs was consistent across all batches, as confirmed by reproducible concentration profiles obtained in triplicate measurements over multiple iterations. The antibiotic peak was clearly identified within the expected range, confirming successful loading and detection. Quantitative HPLC analysis verified that the concentration of clindamycin HCl in the particles was stable and measurable within the linear range of the calibration curve. The indication that the particles were exhibiting the same levels of antibiotic as 200&#xa0;mg/mL in buffer suggests that the particles had reached their loading capacity. While this method indicates that antibiotics were successfully loaded into the SiNPs, it does not provide insight into the time course of release.</p>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>3D bioprinting of human dermis and its infection with bacteria</title>
<p>The primary function of fibroblasts is to maintain the structural integrity of connective tissues by supporting the extracellular matrix. This cell line was chosen because it mimics the natural infection site of the <italic>S. aureus</italic>. 3D-bioprinted fibroblast constructs were used to illustrate an <italic>in vitro</italic> analysis to show Staphylococcal infection on the constructs. Once infected, the constructs can show the effectiveness of the treatment in patients with serious skin infections (<xref ref-type="bibr" rid="B14">Dokoshi et al., 2025</xref>; <xref ref-type="bibr" rid="B25">Kendall and Feghali-Bostwick, 2014</xref>). <xref ref-type="fig" rid="F5">Figure 5</xref> shows the green fluorescence signal, indicating live bacteria (<xref ref-type="fig" rid="F5">Figures 5a,c,e</xref>), and the red fluorescence signal, indicating dead bacteria (<xref ref-type="fig" rid="F5">Figures 5b,d,f</xref>). The comparison demonstrates the ability of the SiNPs loaded with clindamycin 500&#xa0;&#x3bc;g/mL to induce bacterial death. <xref ref-type="fig" rid="F5">Figures 5c,d</xref> show that the bare SiNPs did not have an impact on bacteria death, indicating the particles were non-toxic drug carriers. <xref ref-type="fig" rid="F6">Figure 6</xref> show <italic>S. aureus</italic> bacterium incubated without the use of antibiotics or particles, which gave a green fluorescence signal, indicating viability. The use of this control was significant because the fluorescence kit that was used is specific for bacteria and illustrated that the bioprinted construct did not have any natural antimicrobial properties, as was anticipated.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<italic>S. aureus</italic> bacterial fluorescence imaging using BacLight<sup>&#xae;</sup>. Bacteria were imaged in LB broth after the addition of SiNP-loaded clindamycin 500&#xa0;mg/mL: <bold>(a)</bold> green emission (live bacteria) and <bold>(b)</bold> red emission (dead bacteria). Fibroblast treatment of bare SiNPs: <bold>(c)</bold> green emission (live bacteria) and <bold>(d)</bold> red emission (dead bacteria). Untreated fibroblast constructs: <bold>(e)</bold> green emission (live bacteria) and <bold>(f)</bold> red emission (dead bacteria). Images <bold>(a&#x2013;f)</bold> are from the same location with different fluorescence.</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g005.tif">
<alt-text content-type="machine-generated">Confocal microscopy panel showing fibroblast constructs stained for live (green) and dead (red) cells. Panels a, c, and e display live cell staining, while b, d, and f display dead cell staining. Rows correspond to treatment groups: clindamycin-loaded nanoparticles (a, b), bare nanoparticles (c, d), and untreated constructs (e, f). Scale bars indicate one hundred micrometers.</alt-text>
</graphic>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Imaging of 3D-bioprinted construct of fibroblasts infected with <italic>S. epidermidis (AH852)</italic> and treated with SiNP-loaded clindamycin 500&#xa0;mg/mL under three conditions: pre-infection and pre-treatment (control group, with only fibroblasts 3D bioprinted), post-infection and pre-treatment (only <italic>S. epidermidis</italic> with GFP (green dots in the image) inoculation in the 3D-bioprinted construct, but with no treatment), and post-infection and post-treatment (<italic>S. epidermidis</italic> with GFP (green dots in the image) inoculation in the 3D-bioprinted construct treated with SiNP-loaded clindamycin 500&#xa0;mg/mL).</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g006.tif">
<alt-text content-type="machine-generated">Fluorescence microscopy figure composed of seven panels comparing DAPI, brightfield (BF), and GFP channels in pre- and post-infection or treatment conditions in cell cultures, each panel including a scale bar showing two hundred micrometers.</alt-text>
</graphic>
</fig>
<p>The constructs inoculated with bacterial cultures were labeled with green fluorescent protein (GFP) and then were treated with antibiotic-loaded SiNPs. The bacteria were transformed to express GFP, as done previously, to enable easy visualization (<xref ref-type="bibr" rid="B12">Devlin et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Rahaman et al., 2023</xref>; <xref ref-type="bibr" rid="B42">Yang et al., 2022</xref>). GFP labeling enabled us to track the presence of the bacteria. Different conditions were investigated for the bioprinted constructs, including pre-infection and pre-treatment. The pre-infection group corresponded to a control group of bioprinted fibroblast constructs with no bacteria. The post-infection and pre-treatment group corresponded to the bacterial inoculation in the 3D-bioprinted construct prior to treatment with SiNPs, and the post-infection and post-treatment group corresponded to the bacterial inoculation in the 3D-bioprinted construct with SiNP-loaded clindamycin at a treatment of 500&#xa0;mg/mL. As expected, the third group had fewer bacteria, as indicated by GFP expression, due to the effective action of the SiNP-loaded clindamycin treatment in the &#x201c;dermis&#x201d; model of 3D-bioprinted construct against <italic>S. epidermidis</italic> (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<p>
<italic>Staphylococcus epidermidis</italic> was used as a model organism for a live, real-time analysis that would allow for experimentation of the <italic>in vitro</italic> modeling to determine if saturation times &#x3e;24&#xa0;h would improve the SiNP release, in contrast to the 4&#x2013;6&#xa0;h that was completed in this study.</p>
<p>Experiments were also performed to quantify the effectiveness of the previous experiment in the &#x201c;dermis&#x201d; model of 3D-bioprinted construct inoculated with <italic>S. epidermidis</italic> and treated with SiNP-loaded clindamycin 500&#xa0;mg/mL, mimicking the real infectious skin disease. <xref ref-type="fig" rid="F7">Figure 7a</xref> showed that the CFU counts in the pre-infection and pre-treatment conditions had higher <italic>S. epidermidis</italic> CFUs than in the HDFn media. In this test, the results were regarding the timeframe before the bacteria were inoculated in the 3D-bioprinted construct, as the bacteria were separated from the fibroblast media, which confirms a lack of contamination in the 3D-bioprinted construct that could change the results. <xref ref-type="fig" rid="F7">Figure 7b</xref> shows the CFU counts in the post-infection and pre-treatment condition, indicating higher <italic>S. epidermidis</italic> growth on day 2 post-infection. The growth was uncontrolled, as it was untreated. <xref ref-type="fig" rid="F7">Figure 7c</xref> shows the CFU counts in the post-infection and post-treatment conditions, highlighting the effectiveness of SiNP-loaded clindamycin 500&#xa0;mg/mL in killing <italic>S. epidermidis</italic> in the 3D-bioprinted construct. It was similar to the treatment with clindamycin at 500&#xa0;mg/mL with no SiNP delivery, which was also favorable. However, the treatment with clindamycin at 100&#xa0;mg/mL was not effective, showing considerable CFUs. Also, SiNPs alone showed some <italic>S. epidermidis</italic> growth. <xref ref-type="fig" rid="F7">Figure 7d</xref> shows the growth curve of the <italic>S. epidermidis</italic> over time. <xref ref-type="fig" rid="F7">Figure 7e</xref> shows bacterial imaging of <italic>S. epidermidis</italic> using BacLight<sup>&#xae;</sup> fluorescence detection. Bacteria were imaged in LB broth after the addition of SiNP-loaded clindamycin 500&#xa0;mg/mL. The GFP-stained live bacteria are the green dots in the image, and the Texas Red-stained dead bacteria are the red dots in the image. The absence of red dots indicates that the SiNP-loaded clindamycin 500&#xa0;mg/mL prevented the <italic>S. epidermidis</italic> from forming colonies or biofilms in the 3D-bioprinted construct.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Investigations in the &#x201c;dermis&#x201d; model of 3D-bioprinted construct inoculated with <italic>S. epidermidis</italic> and treated with SiNP-loaded clindamycin 500&#xa0;mg/mL. <bold>(a)</bold> CFU counts in the pre-infection and pre-treatment condition, showing the higher <italic>S. epidermidis</italic> CFUs (before inoculating them in the 3D-bioprinted construct) than in the fibroblast HDFn media. <bold>(b)</bold> CFU counts in the post-infection and pre-treatment conditions show higher <italic>S. epidermidis</italic> growth over time. <bold>(c)</bold> CFU counts in the post-infection and post-treatment conditions highlight the effectiveness of SiNP-loaded clindamycin 500&#xa0;mg/mL treatment against <italic>S. epidermidis</italic> in the 3D-bioprinted construct. <bold>(d)</bold> Growth curve of the <italic>S. epidermidis</italic> (AH852) showing its growth over time. <bold>(e)</bold> <italic>S. epidermidis</italic> bacterial imaging using BacLight&#xae; fluorescence detection. Bacteria were imaged in LB broth after the addition of SiNP-loaded clindamycin 500&#xa0;mg/mL, green fluorescent protein (GFP): live bacteria (green dots in the image), Texas Red: dead bacteria (red dots in the image). The absence of red dots indicates that the SiNP-loaded clindamycin 500&#xa0;mg/mL was an effective treatment against <italic>S. epidermidis</italic> in the 3D-bioprinted construct, in that it prevented the <italic>S. epidermidis</italic> from forming colonies or biofilms in the 3D-bioprinted construct. Images on <bold>(e)</bold> are the same spot with different fluorescence (one-way ANOVA and Tukey post-test; &#x2a;: p &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fbioe-14-1737616-g007.tif">
<alt-text content-type="machine-generated">Figure with five panels showing: (a) Bar graph comparing CFU per mL in HDFn media versus S. epi (AH852) for pre-infection, pre-treatment; (b) Bar graph of CFU per mL in LB broth, HEPES buffer, and day 1 versus day 2 post-infection, pre-treatment; (c) Bar graph of CFU per mL for SiNP, Clind100, Clind500, and SiNP+Clind500 post-infection, post-treatment; (d) Line graph showing S. epi (AH852) growth curve measured by optical density over 18 hours; (e) Fluorescent microscopy images, with GFP channel showing green bacteria and Texas Red channel showing no fluorescence, both with 200 micrometer scale bars.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<label>4</label>
<title>Conclusion</title>
<p>Here, we demonstrate how using SiNPs to locally distribute antibiotics can treat bacterial infection effectively in a 3D-bioprinted skin model. Significant cell death occurred in the samples incubated with SiNP-loaded clindamycin HCl. The use of unloaded SiNPs illustrates that there was little to no effect on the bacteria without the addition of the antibiotic. This is important, as other types of nanoparticles that are used for drug delivery, such as silver or gold, can have an antimicrobial effect on their own. Silver can be very beneficial against certain bacteria. However, there can be some toxicities associated with the introduction of silver colloids into the body. <italic>S. aureus</italic> was able to grow without the introduction of antibiotics, and when untreated, did not give any red signal with propidium iodide. Some cell death occurred in the experiment with clindamycin HCl present in solution. However, this effect was comparable to SiNPs loaded with the same initial loading concentration of 500&#xa0;&#x3bc;g/mL. The loss of the antibiotic in the washing step must be factored for the samples treated with SiNPs. This effect suggests there was a better impact with the use of SiNPs, as there is longer contact time. <italic>Staphylococcus epidermidis</italic> exhibited cell death after treatment with tetracycline HCl-loaded SiNPs compared to the bare SiNPs under the same conditions. The SiNPs were loaded and optimized from two separate batches and then tested on HPLC prior to incubation. The use of a CO<sub>2</sub> incubator at 5% was also important as it kept the constructs in a stable environment that would mimic the cell&#x2019;s natural state. The temperature was kept at 37&#xa0;&#xb0;C, and the pH was between 7.0 and 7.5. This pH, however, was lowered after the incubation of bacteria, creating a more acidic environment that was tested using pH strips and was determined to be between 4.5 and 5.5 after the conclusion of the incubation.</p>
<p>SiNPs impacted the ability of <italic>Staphylococcus aureus</italic> to proliferate. The bare SiNPs did not have a negative impact on the bacteria and did not display any inert antimicrobial activity against the bacteria. The use of solution-based antibiotics was slightly less effective in the qualitative analysis of the cell death of the bacteria. The use of 3D-bioprinted human dermis enabled biofilms to be visually identified. This model was deemed successful at representing the deep dermis layer when examining bacterial infection strategies. Our results demonstrated the successful application of nanomedicine as a promising strategy to combat antibiotic resistance. Furthermore, we established a 3D-bioprinted human dermis infection model mimicking skin infection to investigate the delivery of clindamycin and tetracycline using SiNPs, offering an ethical and cost-effective alternative to animal experiments, which often fail to accurately replicate human biology. These insights contribute to optimizing bioprinting approaches for infected skin tissue engineering and advancing nanomedicine strategies, highlighting their crucial role within a microfluidic 3D infected skin model. The use of <italic>Staphylococcus epidermidis</italic> as a model organism can enable a real-time analysis that would allow for experimentation of <italic>in vitro</italic> modeling to determine whether saturation times &#x3e;24&#xa0;h would improve the nanoparticles&#x2019; antibiotic release, in contrast to the 4&#x2013;6&#xa0;h that was used in this study. Overall, SiNPs show significant promise for delivering antibiotics for treating bacterial infections in the skin.</p>
<p>In our study, we investigated a skin-equivalent platform that combines antibiotic-loaded SiNPs as a treatment of a dermal bacterial infection in a 3D-bioprinted model, enabling physiologically meaningful evaluation of localized antimicrobial therapy. This system provides a more realistic model of investigation compared to 2D cultures and simple <italic>in vitro</italic> assays, bridging the gap between nanomedicine testing and human-like tissue models. We demonstrated functional antibiotic release within a 3D human tissue context, which is more relevant than testing such approaches in a monolayer culture. Our model can represent a step forward in infection modeling for antimicrobial testing while also offering a scalable and ethical testing platform. SiNP-based delivery improves drug stability and enables localized, sustained release at the site of infection compared with direct administration of free antibiotics. This approach enhances antibiotic retention within the construct, reduces burst release and off-target exposure, and may achieve effective antibacterial activity at lower doses. Such controlled delivery is particularly advantageous for localized infection models, such as 3D-bioprinted skin constructs (<xref ref-type="bibr" rid="B37">Slowing et al., 2007</xref>; <xref ref-type="bibr" rid="B40">Vallet-Regi et al., 2017</xref>).</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>TA: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review and editing. AS: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing &#x2013; original draft. KS: Data curation, Formal analysis, Methodology, Writing &#x2013; review and editing. RS: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; review and editing. CB: Data curation, Writing &#x2013; review and editing, Formal analysis, Methodology. AB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; review and editing. SW: Conceptualization, Data curation, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>SW is the CEO and co-founder of Axolotl Biosciences, a biotechnology company that sells bioinks for printing tissues. KS is the production manager of Axolotl Biosciences.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author SW declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. ChatGPT by OpenAI was used to improve text grammar and clarity.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence, and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fbioe.2026.1737616/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fbioe.2026.1737616/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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