A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 143

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3098
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: Attempt to read property "Count" on bool

Filename: helpers/my_audit_helper.php

Line Number: 3100

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3100
Function: _error_handler

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

[A rapid identification of authenticity and specifications of Chinese medicine Fritillariae Cirrhosae Bulbus based on E-eye technology]. | LitMetric

[A rapid identification of authenticity and specifications of Chinese medicine Fritillariae Cirrhosae Bulbus based on E-eye technology].

Zhongguo Zhong Yao Za Zhi

Henan University of Chinese Medicine Zhengzhou 450008, China Department of Pharmacy, the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China Research Center for Modern Engineering for Clinical Application of Chinese Medicine Decoction Pieces in Henan Province Zhengzhou 450000, China Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Province & Ministry, Henan University of Chinese Medicine Zhengzhou 450000, China.

Published: July 2020

AI Article Synopsis

  • Traditional Chinese medicine tablet quality is key for their clinical efficacy and safety, yet current methods for quality identification have their pros and cons.
  • This study investigates using electronic eye technology for quick and accurate identification of the quality of traditional Chinese medicine tablets, specifically testing 80 samples of Fritillariae Cirrhosae Bulbus.
  • Four identification models were developed, achieving high accuracy rates, with the PLS-DA model for authenticity and PCA-DA model for specifications showing effectiveness comparable to traditional methods but with significantly reduced testing time.

Article Abstract

The quality of traditional Chinese medicine tablets is correlated with clinical efficacy and drug safety, and plays a great role in promoting the development of traditional Chinese medicine. However, the existing traditional artificial identification and modern instrument detection in terms of accuracy and timeliness have both advantages and disadvantages. Therefore, how to quickly and accurately identify the quality of traditional Chinese medicine tablets has become a high-profile issue. The purpose of this paper is to explore the feasibility of the application of electronic eye technology in the study of rapid identification of traditional Chinese medicine quality. A total of 80 batches of samples were collected and tested by Fritillariae Cirrhosae Bulbus for traditional empirical identification(M_1) and modern pharmacopeia(M_2). The optical data was collected from electronic eyes, and the chemical metrology was used to establish suitable discrimination models(M_3). Four authenticity and commodity specification models, namely identification analysis(DA), minimum bidirectional support vector machine(LS-SVM), partial minimum two-multiplier analysis(PLS-DA), main component analysis identification analysis(PCA-DA), were established, respectively. The accuracies of the authenticity identification models were 82.5%, 90.0%, 96.2% and 93.8%, while the accuracies of the commodity specification identification models were 89.3%, 96.0%, 90.7% and 97.3%, respectively. The models were well judged, the authenticity identification was based on the final identification model of PLS-DA, and the commodity specification was based on the final identification model of PCA-DA. There was no significant difference between its accuracy and M_1, and the time of determination was much shorter than M_2(P<0.01). Therefore, electronic-eye technology could be used for the rapid identification of the quality of Fritillariae Cirrhosae Bulbus.

Download full-text PDF

Source
http://dx.doi.org/10.19540/j.cnki.cjcmm.20200601.301DOI Listing

Publication Analysis

Top Keywords

chinese medicine
20
traditional chinese
16
rapid identification
12
fritillariae cirrhosae
12
cirrhosae bulbus
12
commodity specification
12
identification
10
quality traditional
8
medicine tablets
8
authenticity identification
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!