Evaluation of copper chloride crystallisation as a method for systems-level characterisation of phytopharmaceuticals – a pilot investigation

The multifaceted nature of phytotherapeutic products calls for methods able to provide a comprehensive and systems-level characterisation. Agricultural research suggests that copper chloride crystallisation (CCC) fingerprint analysis offers such possibilities. We therefore investigated the applicability of CCC to phytopharmaceutical questions. In this pilot trial, we analysed plant extracts of the same genus (Viscum album L.), featuring three progressively subtler differences: 1) subspecies (subsp. album vs austriacum), 2) deciduous host trees (apple vs oak), and 3) blending procedures (machine vs hand). In three sensitivity tests, we assessed CCC’s ability to detect these differences. CCC fingerprints were analysed using 7 variables characterising texture and structure. Systematic control experiments indicate that the setup is stable. In the Verum experiments, all variables passed the first sensitivity test (p < 0.01, Cohens’d 1.75–0.22). Four, mostly texture-related variables (p < 0.01, Cohens’d 0.56–0.26) and two structure variables (p < 0.01, Cohens’d 0.27, 0.20) passed the second and third sensitivity test, respectively. Our results demonstrated CCC’s ability, in our experimental setup, to detect differences between subspecies, deciduous host trees and blending procedures, although with progressively weaker statistical significance. Further development is needed to establish the relevance of CCC for phytopharmaceuticals and whether it can also detect systems-level properties.

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Publication Details

Journal
Scientific Reports
Published
2026-02-24
DOI
https://doi.org/10.1038/s41598-026-41081-6
Primary Topic
Toxin Mechanisms and Immunotoxins
Type
article
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article

Evaluation of copper chloride crystallisation as a method for systems-level characterisation of phytopharmaceuticals – a pilot investigation

Paul Doesburg, Claudia Scherr, Alexander Tournier, Greta Guglielmetti et al.
Scientific Reports
Toxin Mechanisms and Immunotoxins
article

Evaluation of copper chloride crystallisation as a method for systems-level characterisation of phytopharmaceuticals – a pilot investigation

Paul Doesburg, Claudia Scherr, Alexander Tournier, Greta Guglielmetti, David Dominique Martin, Stephan Baumgartner
article en

Abstract

The multifaceted nature of phytotherapeutic products calls for methods able to provide a comprehensive and systems-level characterisation. Agricultural research suggests that copper chloride crystallisation (CCC) fingerprint analysis offers such possibilities. We therefore investigated the applicability of CCC to phytopharmaceutical questions. In this pilot trial, we analysed plant extracts of the same genus (Viscum album L.), featuring three progressively subtler differences: 1) subspecies (subsp. album vs austriacum), 2) deciduous host trees (apple vs oak), and 3) blending procedures (machine vs hand). In three sensitivity tests, we assessed CCC’s ability to detect these differences. CCC fingerprints were analysed using 7 variables characterising texture and structure. Systematic control experiments indicate that the setup is stable. In the Verum experiments, all variables passed the first sensitivity test (p < 0.01, Cohens’d 1.75–0.22). Four, mostly texture-related variables (p < 0.01, Cohens’d 0.56–0.26) and two structure variables (p < 0.01, Cohens’d 0.27, 0.20) passed the second and third sensitivity test, respectively. Our results demonstrated CCC’s ability, in our experimental setup, to detect differences between subspecies, deciduous host trees and blending procedures, although with progressively weaker statistical significance. Further development is needed to establish the relevance of CCC for phytopharmaceuticals and whether it can also detect systems-level properties.

Scientific ReportsVol. 16(1)
University of Bern (CH), Witten/Herdecke University (DE), Universidad Iberoamericana (DO), Gemeinschaftskrankenhaus Herdecke (DE), Verein für Krebsforschung (CH)
Zero hunger
Openalex Percentile: Top 43%
Toxin Mechanisms and Immunotoxins
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