中草药2026，Vol.57Issue(14)：5459-5469,11.DOI:10.7501/j.issn.0253-2670.2026.14.008
基于深度学习与近红外光谱技术对海洋中药马刀的数智评价研究
Digital-intelligent evaluation of marine traditional Chinese medicinal material Madao based on deep learning and near-infrared spectroscopy
摘要
Abstract
Objective To establish a rapid and intelligent analytical method for evaluating the quality and grade of the marine traditional Chinese medicinal material Madao,from Guangxi,based on its potential pharmacodynamic components.Methods The contents of calcium carbonate,acid-insoluble ash,and extractives in Madao were determined following the methods specified for oysters in the Chinese Pharmacopeia(2025 edition).The total amino acid content was measured using the ninhydrin method.A multi-task one-dimensional convolutional neural network(1D-CNN)model was constructed,using near-infrared spectroscopy(NIRS)data as input to simultaneously predict the contents of multiple components.A spectral attention mechanism was introduced to enhance model interpretability.Furthermore,the criteria importance through intercriteria correlation(CRITIC)objective weighting method and the technique for order preference by similarity to ideal solution(TOPSIS)multi criteria decision making algorithm were integrated to develop an end-to-end AI-NIRS intelligent evaluation platform.This platform enables automatic classification of quality grade based on comprehensive scores.Results A score-grade prediction model was established based on the determination results of 90 batches of Madao samples using the 1D-CNN.Compared with the traditional partial least squares(PLS)NIRS model,the multi-task CNN model demonstrated significantly superior performance.Validation results showed that the comprehensive scores of the Madao samples followed a Gaussian distribution,with clear differentiation among the various quality grades.This indicates that the established evaluation method is effective and reliable.Conclusion Operating within the framework of the current regulatory system,this method achieved rapid,comprehensive quality assessment and grade differentiation for Madao.It provides a novel technological approach for the digital-intelligence evaluation and scientific supervision of shell-based marine traditional Chinese medicinal materials.关键词
马刀/近红外光谱技术/质量评价/深度学习/一维卷积神经网络Key words
Madao/near-infrared spectroscopy/quality evaluation/deep learning/one-dimensional convolutional neural network分类
医药卫生引用本文复制引用
王江涛,刘至全,庞晓凤,郝二伟,侯媛媛,侯小涛,白钢,邓家刚..基于深度学习与近红外光谱技术对海洋中药马刀的数智评价研究[J].中草药,2026,57(14):5459-5469,11.基金项目
"带土移植"人才引育计划项目(桂科 AA23026008) （桂科 AA23026008）
广西海洋中药资源及标准调研(桂药监科(2023)001号) （桂药监科(2023）
广西重大专项计划项目(桂科JF2503980037) （桂科JF2503980037）
