<scp>The BioColour</scp> Library

Abstract The attraction of adopting natural and bio‐based colourants in applications has grown, but their use suffers from a lack of certification bodies, standards and reference data. In the BioColour project, we are developing an open database and tools for the characterisation, authentication and quality analysis of biocolourant sources, biocolourants and coloured products. The database is multidisciplinary and currently combines taxonomy, botany and chemistry to form chemo‐taxonomic authenticity fingerprints of biocolourant compounds. The database collates numerical structured data from targeted analyses, such as high‐performance liquid chromatography‐diode array detector‐tandem mass spectrometry from published peer‐reviewed articles and books. The target audience, in addition to researchers, and expected use‐cases of the database, includes biocolourant refining, companies using biocolourants, dye conservators and archaeologists. For craft enthusiasts and hobbyists, the database also records material and colour information, consisting of both CIELab colour coordinates as well as spectral reflectance, of textile samples dyed with various biocolourants. We have implemented the database as an online service with a Django web framework and PostgreSQL relational database management system. This article discusses the key features of the current prototype database system from the user's perspective, demonstrating that the three main sections of the database are divided it into taxonomy fact sheets, chemical fact sheets and a colour palette. We published the database as an open publicly available online service on 16 December 2024.

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Institutions

Publication Details

Journal
Coloration Technology
Published
2025-05-22
DOI
https://doi.org/10.1111/cote.12827
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.81

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article

The BioColour Library

Markku Hauta‐Kasari, Riikka Räisänen, Joni Hyttinen
1 citations
Coloration Technology
Biomedical Text Mining and Ontologies
0.81
article

The BioColour Library

Markku Hauta‐Kasari, Riikka Räisänen, Joni Hyttinen
article en
1 citations

Abstract

Abstract The attraction of adopting natural and bio‐based colourants in applications has grown, but their use suffers from a lack of certification bodies, standards and reference data. In the BioColour project, we are developing an open database and tools for the characterisation, authentication and quality analysis of biocolourant sources, biocolourants and coloured products. The database is multidisciplinary and currently combines taxonomy, botany and chemistry to form chemo‐taxonomic authenticity fingerprints of biocolourant compounds. The database collates numerical structured data from targeted analyses, such as high‐performance liquid chromatography‐diode array detector‐tandem mass spectrometry from published peer‐reviewed articles and books. The target audience, in addition to researchers, and expected use‐cases of the database, includes biocolourant refining, companies using biocolourants, dye conservators and archaeologists. For craft enthusiasts and hobbyists, the database also records material and colour information, consisting of both CIELab colour coordinates as well as spectral reflectance, of textile samples dyed with various biocolourants. We have implemented the database as an online service with a Django web framework and PostgreSQL relational database management system. This article discusses the key features of the current prototype database system from the user's perspective, demonstrating that the three main sections of the database are divided it into taxonomy fact sheets, chemical fact sheets and a colour palette. We published the database as an open publicly available online service on 16 December 2024.

Coloration TechnologyVol. 141(6)
University of Helsinki (FI), University of Eastern Finland (FI), Finland University (FI)
Academy of Finland, Strategic Research Council
Openalex Percentile: Top 28%
Biomedical Text Mining and Ontologies
0.81
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