Panax notoginseng: Pharmacological Aspects and Toxicological Issues

Nutrients, Journal Year: 2024, Volume and Issue: 16(13), P. 2120 - 2120

Published: July 2, 2024

Current evidence suggests a beneficial role of herbal products in free radical-induced diseases.

Language: Английский

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Analysis of Volatile Compounds in Citri grandis from Different Regions in South China and the Response of Volatile Compounds to Ecological Factors

Molecules, Journal Year: 2025, Volume and Issue: 30(3), P. 622 - 622

Published: Jan. 31, 2025

Citri grandis Exocarpium (Chinese name Huajuhong, HJH) is a traditional Chinese medicinal herb widely used in medicines and foods China due to its efficacy treating coughs excessive phlegm. This study employed HS-SPME-GC-MS analyze the volatile compounds HJH samples from different regions, with aim of distinguishing Huazhou those other origins exploring their potential relationship ecological factors. A multidimensional strategy was utilized relationships between oils, climatic factors, soil elements, examining how responded From 47 batches across various eight significantly were identified, serving as chemical markers for Huazhou. The findings elucidate impact factors on HJH, highlighting environmental relating authenticity results indicate that shaped by unique environments

Language: Английский

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Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects

Food Chemistry X, Journal Year: 2023, Volume and Issue: 19, P. 100860 - 100860

Published: Sept. 3, 2023

The quality and safety of edible crops are key links inseparable from human health nutrition. In the era rapid development artificial intelligence, using it to mine multi-source information on provides new opportunities for industrial market supervision crops. This review comprehensively summarized applications data combined with machine learning in evaluation Multi-source can provide more comprehensive rich a single source, as integrate different information. Supervised unsupervised is applied analysis achieve requirements Emphasized advantages disadvantages techniques methods, problems that need be overcome, promising directions were proposed. To monitor real-time, methods must innovated.

Language: Английский

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New Revolution for Quality Control of TCM in Industry 4.0: Focus on Artificial Intelligence and Bioinformatics

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118023 - 118023

Published: Oct. 1, 2024

Language: Английский

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Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China

Flora, Journal Year: 2025, Volume and Issue: unknown, P. 152677 - 152677

Published: Jan. 1, 2025

Language: Английский

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Developing a quantitative adulteration discrimination model for forest-grown Panax notoginseng using near-infrared spectroscopy with a dual-branch network

Food Research International, Journal Year: 2025, Volume and Issue: 205, P. 115879 - 115879

Published: Feb. 7, 2025

Language: Английский

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Exploring Molecular and Genetic Differences in Angelica biserrata Roots Under Environmental Changes

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(8), P. 3894 - 3894

Published: April 20, 2025

Angelica biserrata (Shan et Yuan) Yuan Shan (A. biserrata) roots, a widely distributed medicinal crop with intraspecific diversity, exhibits significant variability in coumarin content across habitats. This study integrated metabolomics and transcriptomics to dissect the spatial heterogeneity metabolite profiles gene expression, revealing mechanisms driving biosynthesis divergence. By synthesizing climate-related big data machine learning Bayesian-optimized deep models, we identified key environmental drivers predicted optimal cultivation conditions. The findings were as follows: (1) differential regions most strongly influenced coumarin; (2) upstream genes (such PAL-1, PAL-2, BGLU44, etc.) modulated downstream metabolites; (3) elevation (Elev) warmest quarter temperature (Bio10) dominated variation, whereas May solar radiation (Srad5) precipitation seasonality (Bio15) controlled transcriptomic reprogramming; (4) optimized environment for bioactive compounds included mean annual (Bio1) = 9.99 °C, (Bio12) 1493 mm, Elev 1728 m, cumulative 152,643 kJ·m-2·day-1, soil organic carbon 11,883 g·kg-1. aimed clarify biological characteristics regulatory of A. roots different habitats, establish theoretical framework understanding molecular controlling metabolic changes under various contribute elucidating formation active constituents while facilitating their effective utilization.

Language: Английский

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Electrochemical and Chemometric Authentication of Panax notoginseng from Different Geographical Origins Using Graphene-Modified Screen-Printed Electrodes

International Journal of Electrochemical Science, Journal Year: 2025, Volume and Issue: unknown, P. 101050 - 101050

Published: April 1, 2025

Language: Английский

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Novel Developments and Progress in Two-Dimensional Correlation Spectroscopy (2D-COS)

Applied Spectroscopy, Journal Year: 2024, Volume and Issue: unknown

Published: June 13, 2024

This first of the two-part series comprehensive survey review on progress two-dimensional correlation spectroscopy (2D-COS) field during period 2021-2022, covers books, reviews, tutorials, novel concepts and theories, patent applications that appeared in last two years, as well some inappropriate use or citations 2D-COS. The overall trend clearly shows 2D-COS is continually growing evolving with notable new developments. technique recognized a powerful analytical tool provides deep insights into systems many science fields.

Language: Английский

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Comparative analysis of data preprocessing methods and machine learning models for geographical origin prediction in an imbalanced Panax notoginseng dataset using near-infrared spectroscopy

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 18, 2024

Abstract This study explores the application of near-infrared spectroscopy (NIRS) and machine learning to accurately determine geographical origin Panax notoginseng ( P. ), a critical component in traditional Chinese medicine. Given complexity identification, especially face imbalanced datasets, systematically evaluates range data preprocessing methods, including autocorrelation, standardization, Multiplicative Scatter Correction (MSC), Standard Normal Variate (SNV), Savitzky-Golay (S-G) smoothing, first-order derivative (1D), second-order (2D), Principal Component Analysis (PCA). Furthermore, it assesses various models such as Gaussian Naive Bayes (GNB), K-Nearest Neighbors (KNN), Classification Regression Trees (CART), Support Vector Machine (SVM), Linear (LR), neural networks this context. First by assembling preparing substantial dataset NIRS from different locations. The dataset's imbalance, reflective real-world scenarios, necessitates specialized handling strategies. meticulously applies each technique dataset, followed deployment models. dual approach allows for an in-depth comparison how combination influences accuracy prediction. Findings reveal that specific combinations methods yield improvements predicting . These are pivotal addressing imbalances inherent thereby enhancing reliability predictions. research contributes significantly field not only providing solution problem prediction datasets but also laying down methodological framework can be adapted similar challenges broader area herbal medicine research. serves cornerstone intersection modern scientific offering robust, data-driven ensuring authenticity quality vital medicinal herbs like Its implications extend beyond application, insights methodologies could revolutionize control authentication processes globally.

Language: Английский

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