Work

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

Year: 2025

Type: article

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.

Source: From Chemistry Towards Technology Step-By-Step

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

Authors: Felix Telegin, Tatyana Nokoforova, Jianhua Ran, Victoria Pryazhnikova

Institutions: Ivanovo State University of Chemistry and Technology, Wuhan Textile University

Language: English

Topic: Dyeing and Modifying Textile Fibers

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funder: Ministry of Science and Higher Education of the Russian Federation

Award: G7284278908