期刊
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
卷 238, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jpba.2023.115810
关键词
Medicinal herbs; Elemental composition; Sample preparation; Fractional factorial design; ICP OES
This work presents a simple, cost-effective, and environmentally friendly method for determining the content of multiple elements in medicinal herbs using ICP OES. The optimized experimental parameters result in low dissolved organic carbon content and residual acidity concentration. The accuracy of the method is confirmed through the analysis of certified reference materials, and its environmental friendliness is validated using the AGREE metric. Principal component analysis is used to classify the medicinal herbs based on their inorganic constituent concentrations.
This work presents a simple, cost-effective, and environmentally friendly digestion method employing inductively coupled plasma optical emission spectrometry (ICP OES) for the determination of As, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, P, Pb, Sr, and Zn in medicinal herbs. A fractional factorial design uses a multivariate strategy to optimize the experimental parameters. At 180 oC and 120 min of sample digestion, the optimal condition for a closed block digester was achieved with a mixture consisting of 1.38 mL of HNO3 65% m m-1, 1.00 mL of H2O2 30% m m-1, and 2.62 mL of deionized water, using a mass of 0.10 g medicinal herb sample. The optimized procedure resulted in low dissolved organic carbon content and residual acidity concentration. The values of limits of detection (LOD) and of quantification (LOQ) ranging from 0.06 (Cd) to 1.9 (P) mg kg-1 and 0.2 (Cd) to 6.3 mg kg- 1 (P), respectively. Accuracy was confirmed through the analysis of three certified reference materials, where agreement ranged from 83 (Sr) to 116% (As) for all analytes. The AGREE metric has confirmed the greenness of the proposed method. Twenty-seven medicinal herbs samples were used to assess the applicability of the developed procedure. Principal component analysis (PCA) was applied to inorganic constituent concentration data to classify the medicinal herbs, an excellent tool for classifying samples.
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