Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence

Felix Telegin; Tatyana Nokoforova; Jianhua Ran; Victoria Pryazhnikova

doi:10.52957/2782-1900-2025-6-4-72-82

UDC 677.057 UDC 547.8 UDC 535.34

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DOPAMINE-DRIVEN COLORATION TECHNOLOGIES: A KNOWLEDGE STRUCTURING BUILT ON CITAVI AND ARTIFICIAL INTELLIGENCE Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence

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Published in From Chemistry Towards Technology Step-By-Step · Volume 6, Issue 4 · Pages 72–82 · Rubric: Scientific articles

DOI: https://doi.org/10.52957/2782-1900-2025-6-4-72-82

Received: 10.09.2025 Accepted: 19.12.2025 Published: 22.12.2025 Language of publication: ENG

Authors

Felix Telegin

Tatyana Nokoforova

Jianhua Ran

Victoria Pryazhnikova

Felix Telegin

Academic degree: doctor of chemical sciences

Science rang: professor

Ivanovo State University of Chemistry and Technology Ivanovo

Tatyana Nokoforova

Academic degree: doctor of chemical sciences

Science rang: docent

Ivanovo State University of Chemistry and Technology Associate Professor · Ivanovo

Jianhua Ran

Wuhan Textile University Researcher · China · Wuhan

Victoria Pryazhnikova

Ivanovo State University of Chemistry and Technology Ivanovo

ABSTRACT

The interdisciplinary field of dopamine-mediated coloration, spanning materials science, biomimetics, and sustainable chemistry, has experienced rapid growth, making comprehensive literature synthesis increasingly challenging. This paper presents a novel methodology for transforming the reference management software Citavi into a structured knowledge system, enabling both manual and AI-augmented trend analysis. We curated and annotated over 1,000 publications, with particular focus on dopamine and polydopamine in textile functionalization and coloration. Structuring via custom taxonomies (e.g., substrate type, deposition method, durability metrics) enabled AI-driven synthesis using Qwen3-Max. Key insights include: (1) PDA’s role as a universal textile modifier enhancing dye fastness, enabling structural color, and imparting antimicrobial/UV functions; (2) enzymatic (laccase-mediated) DA polymerization as an emerging green alternative; (3) under-explored potential in wool and scalability studies. AI insights were reintegrated into Citavi as “AI Insight Notes,” creating a dynamic human-AI collaborative environment. This approach offers a reproducible framework for domain mapping in fast-evolving fields.

KEYWORDS

dopamine, polydopamine, coloration, Citavi, knowledge system, trend analysis, AI in research, Qwen3-Max, materials science, bibliometric synthesis

Funding

This work was funded by the Ministry of Science and Higher Education of the Russian Federation (Project No. FZZW–2024–0004).

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Editor in chief

Dmitry Berezin

Deputy Editor in Chief

Igor Abramov

abramovig@ystu.ru

Executive secretary

Zhanna Chirkova

chirkovazhv@ystu.ru

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GOST

Telegin F. Y., Nokoforova T. E., Ran J., Pryazhnikova V. G. Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence // From Chemistry Towards Technology Step-By-Step. 2025. no. 4. pp. 72-82. DOI: https://doi.org/10.52957/2782-1900-2025-6-4-72-82. (Date of access 22.09.2026).

MLA

Felix Telegin, Nokoforova T. E., Ran J., Pryazhnikova V. G.. "Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence." From Chemistry Towards Technology Step-By-Step 6.4 (2025): 72-82. DOI: https://doi.org/10.52957/2782-1900-2025-6-4-72-82.

APA

Telegin F. Y., Nokoforova T. E., Ran J., Pryazhnikova V. G. (2025). Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence. From Chemistry Towards Technology Step-By-Step, 6(4), 72-82. https://doi.org/10.52957/2782-1900-2025-6-4-72-82

Chicago

Felix Telegin, Nokoforova T. E., Ran J., Pryazhnikova V. G.. "Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence." From Chemistry Towards Technology Step-By-Step 6, no. 4 (2025): 72-82. https://doi.org/10.52957/2782-1900-2025-6-4-72-82.

WIKI

{{cite journal | author = Telegin F. Y., Nokoforova T. E., Ran J., Pryazhnikova V. G. | title = Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence | journal = From Chemistry Towards Technology Step-By-Step | year = 2025 | volume = 6 | issue = 4 | pages = 72-82 | doi = 10.52957/2782-1900-2025-6-4-72-82 }}

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DOPAMINE-DRIVEN COLORATION TECHNOLOGIES: A KNOWLEDGE STRUCTURING BUILT ON CITAVI AND ARTIFICIAL INTELLIGENCE Dopamine-driven coloration technologies: a knowledge structuring built on Citavi and artificial intelligence

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