AIMC Topic: Rhizome

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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices.

Scientific reports May 6, 2025
Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study a...
Rhizome Drugs, Chinese Herbal Acorus Algorithms Deep Learning Image Processing, Computer-Assisted Medicine, Chinese Traditional
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Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning.

Scientific reports Apr 23, 2025
Alismatis Rhizoma (AR) is widely utilized as a natural medicine across many Asian countries. However, in China, due to its complex origins, AR quality varies, which can affect clinical efficacy. Therefore, there is a need for a method that is both fa...
Support Vector Machine Rhizome Machine Learning China Image Processing, Computer-Assisted Neural Networks, Computer
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High-precision identification of highly similar Pinelliae Rhizoma and adulterated Rhizoma pinelliae pedatisectae through deep neural networks based on vision transformers.

Journal of food science Oct 9, 2024
Pinelliae Rhizoma is a key ingredient in botanical supplements and is often adulterated by Rhizoma Pinelliae Pedatisectae, which is similar in appearance but less expensive. Accurate identification of these materials is crucial for both scientific an...
Image Processing, Computer-Assisted Pinellia Drug Contamination Neural Networks, Computer Algorithms Rhizome
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Polygonati Rhizoma varieties and origins traceability based on multivariate data fusion combined with an artificial intelligence classification algorithm.

Food chemistry Jul 5, 2024
This study collected multidimensional feature data such as spectra, texture, and component contents of Polygonati Rhizoma from different origins and varieties (Polygonatum kingianum Coll. et Hemsl from Yunnan and Guizhou; Polygonatum cyrtonema Hua fr...
Discriminant Analysis Multivariate Analysis Rhizome Algorithms Drugs, Chinese Herbal Polygonatum Artificial Intelligence
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Study on the identification and evaluation of growth years for Paris polyphylla var. yunnanensis using deep learning combined with 2DCOS.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 30, 2021
Paris polyphylla var. yunnanensis, as perennial plants, its quality is closely related to growth period. Different harvest years determine the dry matter accumulation of its medicinal parts and the dynamic accumulation of active ingredients, as well ...
Plants, Medicinal Rhizome Melanthiaceae Liliaceae Deep Learning
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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model.

Analytical and bioanalytical chemistry May 14, 2019
It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to the lipid-lowering effect on high-fat diet-induced hyperlipidemia. Alisol B 23-acetate, one of the abundant triterpenes in ZX, was used as the marker...
Rhizome Animals Alismataceae Hypolipidemic Agents Lipid Metabolism 3T3-L1 Cells Triterpenes Drug Evaluation, Preclinical Chromatography, High Pressure Liquid Support Vector Machine Drug Discovery Tandem Mass Spectrometry Lipids Mice Adipogenesis Hyperlipidemias
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Machine learning and chemometric methods for high-throughput authentication of 53 Root and Rhizome Chinese Herbal using ATR-FTIR fingerprints.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Jun 15, 2025
To address the identification challenges caused by morphological similarities in Root and Rhizome Chinese Herbal (RRCH), this study developed a discrimination system integrating Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (AT...
Machine Learning Discriminant Analysis Spectroscopy, Fourier Transform Infrared Plant Roots Rhizome Drugs, Chinese Herbal Chemometrics Least-Squares Analysis
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Antioxidant and antiproliferative activities of protein hydrolysate from the rhizomes of Zingiberaceae plants.

Pakistan journal of pharmaceutical sciences Nov 1, 2016
Plant proteins have been investigated for their antioxidant activities, but there are still no reports detailing the antioxidant activity levels of plants in the Zingiberaceae family, which are popular food agents and used in folklore medicine. In th...
Biphenyl Compounds Hep G2 Cells Antioxidants Picrates Dose-Response Relationship, Drug Plant Extracts Humans Antineoplastic Agents, Phytogenic Molecular Weight Phytotherapy Plants, Medicinal Neoplasms Cell Proliferation Inhibitory Concentration 50 Ascorbic Acid Chromatography, Ion Exchange Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Plant Proteins Zingiberaceae Rhizome Protein Hydrolysates
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[Analytical Methods with Qualitative HPLC Fingerprint and Quantitative Measurement of Effective Components of Processed Asari Radix et Rhizoma].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials Jul 1, 2015
OBJECTIVE: In order to provide the basis for quality standard and processing principle of processed Asari Radix et Rhizoma, an HPLC fingerprint of processed Asari Radix et Rhizoma was established and the contents of methyl eugenol and asarinin were d...
Lignans Asarum Rhizome Dioxoles Chromatography, High Pressure Liquid Quality Control Eugenol Plant Roots Drugs, Chinese Herbal
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