ArticleJournal of pharmaceutical analysis2020
An integrated spectroscopic strategy to trace the geographical origins of emblic medicines: Application for the quality assessment of natural medicines.
Article in Journal of pharmaceutical analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Potential protective effects ofFrontiers in pharmacology · 2026Article
- Multidimensional quality evaluation and traceability study of Fritillariae Cirrhosae Bulbus from different sources.Frontiers in plant science · 2025Article
- Exploration of biophoton characteristics of freshFrontiers in plant science · 2025Article
- Review: performance of jujube and its extracts in cancer: therapeutic, toxicity-reducing and potentiating effects.Frontiers in oncology · 2025Review
- Shuanglongjiegu pill promoted bone marrow mesenchymal stem cell osteogenic differentiation by regulating the miR-217/RUNX2 axis to activate Wnt/β-catenin pathway.Journal of orthopaedic surgery and research · 2024Article
- Article
- Research progress of sea buckthorn (Frontiers in cardiovascular medicine · 2024Review
- Comprehensive investigation of tumor immune microenvironment and prognostic biomarkers in osteosarcoma through integrated bulk and single-cell transcriptomic analysis.Frontiers in immunology · 2024Article
- Recent trends of machine learning applied to multi-source data of medicinal plants.Journal of pharmaceutical analysis · 2023Review
- Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric,Journal of pharmaceutical analysis · 2023Article
- Integrative quantitative and qualitative analysis for the quality evaluation and monitoring of Danshen medicines from different sources using HPLC-DAD and NIR combined with chemometrics.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emblic medicine is a popular natural source in the world due to its outstanding healthcare and therapeutic functions. Our preliminary results indicated that the quality of emblic medicines might have an apparent regional variation. A rapid and effective geographical traceability system has not been designed yet. To trace the geographical origins so that their quality can be controlled, an integrated spectroscopic strategy including spectral pretreatment, outlier diagnosis, feature selection, data fusion, and machine learning algorithm was proposed. A featured data matrix (245 × 220) was successfully generated, and a carefully adjusted RF machine learning algorithm was utilized to develop the geographical traceability model. The results demonstrate that the proposed strategy is effective and can be generalized. Sensitivity (SEN), specificity (SPE) and accuracy (ACC) of 97.65%, 99.85% and 97.63% for the calibrated set, as well as 100.00% predictive efficiency, were obtained using this spectroscopic analysis strategy. Our study has created an integrated analysis process for multiple spectral data, which can achieve a rapid, nondestructive and green quality detection for emblic medicines originating from seventeen geographical origins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.