Research Article
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Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education

Year 2026, Issue: Advanced Online Publication, 1 - 7, 16.02.2026
https://doi.org/10.33988/auvfd.1723569
https://izlik.org/JA38DH87FM

Abstract

In veterinary anatomy education, real bones used for instructional purposes often develop problems over time, including wear, odor, and mold. In recent years, educational materials have been produced using 3D printing technologies with different filaments such as PLA, PETG, ABS, and TPU. No information in the literature addresses the hygiene-related advantages or disadvantages of real bone compared with produced prints in the laboratory. The aim of this study was to demonstrate the health suitability of 3D bone models produced using standard PLA and antibacterial PLA, and of educational models consisting of real bone. In this study, a total of 15 models (five of each) were examined and sterilized using formaldehyde fumigation. All models were used in the student laboratory for three months. At the end of this period, subsamples were taken from each sample to determine aerobic mesophilic bacterial loads. Among the real bones, the highest bacterial loads were found in the axis and the cranium. Bacterial loads were similar in the scapula, humerus, and femur and in models of these bones fabricated from standard PLA. No bacteria were isolated from any of the antibacterial PLA models. As a result, it was observed that antibacterial PLA was the most hygienic model under laboratory conditions, that sterilization by formaldehyde fumigation effectively eliminated bacteria, and that it did not cause any visible deformation or discoloration of the filaments.

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Details

Primary Language English
Subjects Veterinary Anatomy and Physiology
Journal Section Research Article
Authors

Sedef Selviler Sizer 0000-0002-1990-4507

Semih Kurt 0000-0002-5160-7772

Şeyda Yaman 0000-0003-2175-6109

Zeynep Semerci 0000-0001-6570-2693

Fatmanur Sıla Keskin 0009-0004-6139-299X

Burcu Onuk 0000-0001-8617-3188

Murat Kabak 0000-0003-4255-1372

Submission Date June 20, 2025
Acceptance Date December 6, 2025
Early Pub Date February 16, 2026
Publication Date February 16, 2026
DOI https://doi.org/10.33988/auvfd.1723569
IZ https://izlik.org/JA38DH87FM
Published in Issue Year 2026 Issue: Advanced Online Publication

Cite

APA Selviler Sizer, S., Kurt, S., Yaman, Ş., Semerci, Z., Keskin, F. S., Onuk, B., & Kabak, M. (2026). Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education. Ankara Üniversitesi Veteriner Fakültesi Dergisi, Advanced Online Publication, 1-7. https://doi.org/10.33988/auvfd.1723569
AMA 1.Selviler Sizer S, Kurt S, Yaman Ş, et al. Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education. Ankara Univ Vet Fak Derg. 2026;(Advanced Online Publication):1-7. doi:10.33988/auvfd.1723569
Chicago Selviler Sizer, Sedef, Semih Kurt, Şeyda Yaman, et al. 2026. “Determination of Bacterial Load on Real Bone and 3D Printing Bone Models Used in Veterinary Anatomy Education”. Ankara Üniversitesi Veteriner Fakültesi Dergisi, no. Advanced Online Publication: 1-7. https://doi.org/10.33988/auvfd.1723569.
EndNote Selviler Sizer S, Kurt S, Yaman Ş, Semerci Z, Keskin FS, Onuk B, Kabak M (February 1, 2026) Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education. Ankara Üniversitesi Veteriner Fakültesi Dergisi Advanced Online Publication 1–7.
IEEE [1]S. Selviler Sizer et al., “Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education”, Ankara Univ Vet Fak Derg, no. Advanced Online Publication, pp. 1–7, Feb. 2026, doi: 10.33988/auvfd.1723569.
ISNAD Selviler Sizer, Sedef - Kurt, Semih - Yaman, Şeyda - Semerci, Zeynep - Keskin, Fatmanur Sıla - Onuk, Burcu - Kabak, Murat. “Determination of Bacterial Load on Real Bone and 3D Printing Bone Models Used in Veterinary Anatomy Education”. Ankara Üniversitesi Veteriner Fakültesi Dergisi. Advanced Online Publication (February 1, 2026): 1-7. https://doi.org/10.33988/auvfd.1723569.
JAMA 1.Selviler Sizer S, Kurt S, Yaman Ş, Semerci Z, Keskin FS, Onuk B, Kabak M. Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education. Ankara Univ Vet Fak Derg. 2026;:1–7.
MLA Selviler Sizer, Sedef, et al. “Determination of Bacterial Load on Real Bone and 3D Printing Bone Models Used in Veterinary Anatomy Education”. Ankara Üniversitesi Veteriner Fakültesi Dergisi, no. Advanced Online Publication, Feb. 2026, pp. 1-7, doi:10.33988/auvfd.1723569.
Vancouver 1.Selviler Sizer S, Kurt S, Yaman Ş, Semerci Z, Keskin FS, Onuk B, et al. Determination of bacterial load on real bone and 3D printing bone models used in veterinary anatomy education. Ankara Univ Vet Fak Derg [Internet]. 2026 Feb. 1;(Advanced Online Publication):1-7. Available from: https://izlik.org/JA38DH87FM

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‘Ankara Üniversitesi Veteriner Fakültesi Dergisi’ aims to disseminate high-quality, peer-reviewed scientific research that contributes to the advancement of knowledge in the fields of veterinary medicine and animal science. The journal seeks to serve as an international platform for the publication of original research articles, short communications, case reports, and invited review articles, promoting scientific excellence and interdisciplinary collaboration. Ankara Univ Vet Fak Derg publishes review articles by invitation only.

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1. Adams DC, Rohlf FJ, Slice DE (2004): Geometric morphometrics: ten years of progress following the revolution. Ital J Zool, 71, 5-16. DOI: 10.33988/auvfd. 1748170.
2. AOAC (2000): Association of Official Analytical Chemists, Official Methods of Analysis, 17th ed. AOAC International Maryland USA.
3. Bishop CD (1995): Antiviral activity of the essential oil of Melaleuca alternifolia (Maiden and Betche) Cheel (tea tree) against tobacco mosaic virus. J Essential Oil Res, 7, 641- 644. DOI: 10.33988/auvfd. 1748170.
4. Hui YH (1996): Oleoresins and essential oils. 145-153. In: Hui YH (Ed.). Bailey’s industrial oil and fat products. Wiley-Interscience Publication. New York, USA.
5. Lamont LA, Bulmer BJ, Sisson DD, et al (2002): Doppler echocardiographic effects of medetomidine on dynamic left ventricular outflow tract obstruction in cats. J Am Vet Med Assoc, 221, 1276-1281. DOI: 10.33988/auvfd. 1748170.
6. Sandstedt K, Ursing J, Walder M (1983): Thermotolerant Campylobacter with no or weak catalase activity isolated from dogs. Curr Microbiol, 8, 209-213. DOI: 10.33988/auvfd. 1748170.
7. Sandstedt K, Ursing J (1991): Description of the Campylobacter upsaliensis previously known as CNW group. Syst Appl Microbiol, 14, 39-45. DOI: 10.33988/auvfd. 1748170.

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Antak A (2013): Impact of Stress on Poultry Production and Welfare. PhD thesis, in Turkish. Ankara University, Ankara, Türkiye.

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JOURNAL POLICY
• Ankara Üniversitesi Veteriner Fakültesi Dergisi (Ankara Univ Vet Fak Derg) is an international, peer reviewed, and open access scientific journal published quarterly in January, April, July, and October.
• There are no submission, publication, or page charges for articles published in Ankara Üniversitesi Veteriner Fakültesi Dergisi.
• The journal applies double-blind peer review.
• At least two independent external reviewers are required.
• Two positive reviewer reports are mandatory for acceptance.
• The anticipated review period is within six months, excluding author revision time.
• All published content is licensed under the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0).
• The submission and publication of content created by artificial intelligence, language models, machine learning, or similar technologies is discouraged, unless part of formal research design or methods, and is not permitted without clear description of the content that was created and the name of the model or tool, version and extension numbers, and manufacturer. Authors must take responsibility for the integrity of the content generated by these models and tools.

Additional information for authors:
AI Used in Manuscript Preparation
When traditional and generative AI technologies are used to create, review, revise, or edit any of the content in a manuscript, authors should report in the Acknowledgment section the following:
Name of the AI software platform, program, or tool
Version and extension numbers
Manufacturer
Date(s) of use
A brief description of how the AI was used and on what portions of the manuscript or content
Confirmation that the author(s) take responsibility for the integrity of the content generated
Note this guidance does not apply to basic tools for checking grammar, spelling, references, and similar.
AI Used in Research
When AI (eg, large language model [LLM] or natural language processing [NLP], supervised or unsupervised machine learning [ML] for predictive/prescriptive or clustering tasks, chatbots, or similar other technologies) is used as part of a scientific study, authors should:
Follow relevant reporting guidelines for specific study designs when they exist and report each recommended guideline element with sufficient detail to enable reproducibility.
Avoid inclusion of identifiable patient information in text, tables, and figures.
Be aware of copyright and intellectual property concerns - if including content (text, images) generated by AI, and indicate rights or permissions to publish that content as determined by the AI service or owner.
Also address the following:
Methods Section
Include the study design and, if a relevant reporting guideline exists, indicate how it was followed, with sufficient detail to enable reproducibility.
Describe how AI was used for specific aspects of the study (eg, to generate or refine study hypotheses, assist in the generation of a list of adjustment variables, create graphs to show visual relationships).
For studies using LLMs, provide the name of the platform or program, tool, version, and manufacturer; specify dates and prompt(s) used and their sequence and any revisions to prompts in response to initial outputs.
For studies reporting ML and algorithm development, include details about data sets used for development, training, and validation. Clearly state if algorithms were trained and tested only on previously collected or existing data sets or if the study includes prospective deployment. Include the ML model and describe the variables and outcome(s) and selection of the fine-tuning parameters. Describe any assumptions involved (eg, log linearity, proportionality) and how these assumptions were tested.
Indicate the metric used to evaluate the performance of the algorithms, including bias, discrimination, calibration, reclassification, and others as appropriate.
Indicate the methods used to address missing data.
Indicate institutional review board/ethics review, approval, waiver, or exemption.
Describe methods or analyses included to address and manage AI-related methodologic bias and inaccuracy of AI-generated content.
Indicate, when appropriate, if sensitivity analyses were performed to explore the performance of the AI model in vulnerable or underrepresented subgroups.
Provide a data sharing statement, including if code will be shared.
Results Section
When reporting comparisons, provide performance assessments (eg, against standard of care), include effect sizes and measures of uncertainty (eg, 95% CIs) and other measurements such as likelihood ratios, and include information about performance errors, inaccurate or missing data, and sufficient detail for others to reproduce the findings.
Report the results of analyses to address methodologic bias and population representation.
If examples of generated text or content are included in tables or figures, be sure to indicate the source and licensing information, as noted above.
Discussion Section
Discuss the potential for AI-related bias and what was done to identify and mitigate such bias.
Discuss the potential for inaccuracy of AI-generated content and what was done to identify and manage this.
Discuss generalizability of findings across populations and results of analyses performed to explore the performance of the AI model in vulnerable or underrepresented subgroups.

There are no submission fees, publication fees or page charges for publication in ‘Ankara Univ Vet Fak Derg’.

BAŞ EDİTÖR

Animal Welfare, Animal Science, Genetics and Biostatistics

Editör Kurulu

Radiology and Organ Imaging, Veterinary Surgery
Veterinary Food Hygiene and Technology
Veterinary History of Veterinary and Deontology
Host-Parasite Interactions, Parasitology, Veterinary Parasitology
Reproduction and Artificial Insemination
Veterinary Parasitology
Animal Health Economics and Management
Molecular Genetics, Animal Reproduction and Breeding, Animal Science, Genetics and Biostatistics
Animal Behaviour, Veterinary Anatomy and Physiology, Veterinary Sciences (Other)
Veterinary Internal Medicine
Animal Reproduction and Breeding, Veterinary Obstetrics and Gynecology, Reproduction and Artificial Insemination
Veterinary Histology and Embryology
Ecotoxicology, Aquatic Toxicology , Pesticides and Toxicology, Veterinary Pharmacology
Animal Nutrition
Reproduction and Artificial Insemination
Animal Behaviour, Veterinary Anatomy and Physiology
Veterinary Sciences
Veterinary Sciences
Veterinary Sciences
Veterinary Sciences
Veterinary Virology
Veterinary Obstetrics and Gynecology
Veterinary Sciences
Veterinary Sciences
Veterinary Epidemiology
Veterinary Anatomy and Physiology
Bacteriology, Pharmaceutical Toxicology, Basic Pharmacology, Environmental Biotechnology Diagnostics (Incl. Biosensors), Climate Change-Impact and Adaptation, Environmental Biogeochemistry, Internationalization in Higher Education, One Health, Food Microbiology, Aquaculture and Fisheries, Fish Pests and Diseases, Veterinary Sciences
Veterinary Pathology
Veterinary Obstetrics and Gynecology
Animal Science, Genetics and Biostatistics
Cell Metabolism, Cancer Biology, Veterinary Biochemistry
Animal Welfare, Animal Science, Genetics and Biostatistics
Veterinary Sciences, Veterinary Pathology
Veterinary Epidemiology, Veterinary Immunology, Veterinary Mycology, Veterinary Microbiology, Veterinary Diagnosis and Diagnostics