Impedance spectroscopy is an adaptable method for analyzing liquid samples, such as aqueous solutions and pharmaceutical formulations. This work presents the principal component analysis (PCA) of impedance profiles of three different homeopathy dilutions by developing a cost-efficient and compact impedance measurement system utilizing application specific integrated circuit, AD5933 evaluation board. The impedance of three homeopathy remedies derived from three different domains at three distinct dilution levels were analyzed within the frequency range of 1 kHz to 100 kHz. The system’s performance was confirmed by calibration and repeatability assessments. The work identifies patterns, reduce dimensionality, and interpret variance contributions of the impedance dataset. PCA effectively reduced the high-dimensional dataset into a two-dimensional space, explaining over 99% of the variance in the first two principal components. Distinct clusters were observed for medicines and their dilutions, demonstrating that PCA can identify unique electrical signatures associated with both the material composition and the dilution level. The findings indicated unique impedance profiles for various dilutions, showcasing the system’s capability to characterize homeopathy dilutions. This work offers insights into system design, measurement methods, and data processing; facilitating advanced research in impedance-based characterization of high dilutions.

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Principal Component Analysis for Pattern Recognition and Characterization of Homeopathy Dilutions

  • Nidhi Sharma,
  • Uttam R. Bagal,
  • Ghanshyam D. Jindal

摘要

Impedance spectroscopy is an adaptable method for analyzing liquid samples, such as aqueous solutions and pharmaceutical formulations. This work presents the principal component analysis (PCA) of impedance profiles of three different homeopathy dilutions by developing a cost-efficient and compact impedance measurement system utilizing application specific integrated circuit, AD5933 evaluation board. The impedance of three homeopathy remedies derived from three different domains at three distinct dilution levels were analyzed within the frequency range of 1 kHz to 100 kHz. The system’s performance was confirmed by calibration and repeatability assessments. The work identifies patterns, reduce dimensionality, and interpret variance contributions of the impedance dataset. PCA effectively reduced the high-dimensional dataset into a two-dimensional space, explaining over 99% of the variance in the first two principal components. Distinct clusters were observed for medicines and their dilutions, demonstrating that PCA can identify unique electrical signatures associated with both the material composition and the dilution level. The findings indicated unique impedance profiles for various dilutions, showcasing the system’s capability to characterize homeopathy dilutions. This work offers insights into system design, measurement methods, and data processing; facilitating advanced research in impedance-based characterization of high dilutions.