Ms. Jing Sun Profile

Jing Sun

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 27 March 2024 Paper

Research on the application of intelligent Chinese herbal medicine identification technology

Xiangzhen Cui, Limei Song, Jing Sun, Hongyu Zhou

Proceedings Volume 13105, 131052B (2024) https://doi.org/10.1117/12.3026697

KEYWORDS: Medicine, Nose, Image processing, Sensors, Image analysis, Feature extraction, Biomedical applications, Principal component analysis, Gas sensors, Detector arrays

Read Abstract +

Chinese medicinal materials play an important role in the health care of our people, and the quality of Chinese medicine has received more and more attention. The quality of Chinese medicinal materials and the authenticity of drugs are related to the therapeutic effect, so the identification of authenticity of Chinese medicinal materials is very important. China is very rich in traditional Chinese medicine resources, and many kinds of traditional Chinese medicines have brought great difficulties to the identification of traditional Chinese medicinal materials. The characteristics of traditional Chinese medicines are not only the appearance characteristics of medicinal materials, but also the external manifestations of the internal organizational structure of medicinal materials and the chemical components contained in them. In research, the essence of the trait identification of traditional Chinese medicine is to explain the correlation between trait characteristics and internal tissue structure and its intrinsic chemical composition in modern science. At present, some new methods and technologies are applied to the identification of traditional Chinese medicine traits, such as simulating the electronic nose and electronic tongue generated by the human olfactory organ and taste system, and image recognition and identification are also used. These new methods and technologies are all extensions of trait identification and are conducive to the development of Chinese medicine.

Proceedings Article | 29 March 2023 Paper

Research on on-line monitoring and intelligent monitoring system of Chinese medicine extraction

Xiangzhen Cui, Jing Sun, Xueling Zheng, Cuicui Xu, Mengmeng Sun, Hongyu Shi

Proceedings Volume 12594, 125941Z (2023) https://doi.org/10.1117/12.2671335

KEYWORDS: Medicine, Near infrared spectroscopy, Intelligence systems, Statistical analysis, Control systems, Chemical analysis, Near infrared, Modeling, Data modeling, Clouds

Read Abstract +

Herbal medicine is an integral part of Chinese medicine, and Chinese medicine extract is the main way of herbal medicine application. Therefore, the extraction operation of Chinese medicine is an important unit operation in the production process of Chinese medicine. With the modernization of Chinese medicine, traditional Chinese medicine extraction equipment can not fully meet the needs of the development of Chinese medicine. Energy saving and emission reduction technology, integrated manufacturing technology, on-line monitoring technology and intelligent digitization are the main research directions of intelligent production of Chinese medicine. This paper studies the on-line quality monitoring and intelligent control system of Chinese medicine extraction process. Near infrared spectroscopy has the unique advantage of rapid analysis, which makes it play an important role in the development of rapid analysis and detection methods for Chinese medicine production process. Near infrared spectroscopy analysis platform includes field level, edge level and cloud computing level. Its core content is the design of near infrared analysis method for online monitoring. The main parts are extraction equipment, online sample pretreatment subsystem, online near-infrared spectrometer subsystem, online near-infrared spectrum quality analysis and intelligent control system main control subsystem, extraction workshop automatic control subsystem. On-line detection technology detects the key quality of raw materials, intermediate products and process in real time through process analysis instruments directly installed on the production line. This technology can feedback in real time to design, analyze and control the production process, which can better guide the production, reduce the batch difference of intermediates, ensure the stability of drug quality, and provide real-time production data for subsequent product quality backtracking.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years