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    Article

    Rapid Qualitative and Quantitative Analysis of Volatile Components and Quality Identification of Amomi Fructus Based on Bionic Olfactory System

    Huaying Zhou1, Zhong Li2★, Dehan Luo3, Hamid Gholamhosseini4, Bin Han2, Hexian Wang1★ Corresponding author

    1. 1Department of Computer Science, College of Medical Information Engineering, Guangdong Pharmaceutical University.
    2. 2Department of Traditional Chinese Medicine Resources, College of Traditional Chinese Medicine, Guangdong Pharmaceutical University.
    3. 3Department of Communication, School of Information Engineering, Guangdong University of Technology, Guangzhou, China.
    4. 4Department of Electrical and Electronic Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.

    CORRESPONDENCE

    Zhong Li

    Department of Traditional Chinese Medicine Resources, College of Traditional Chinese Medicine, Guangdong Pharmaceutical University.

    lizhongyxy@126.com

    Received: 08-05-2020; Revised: 23-06-2020; Accepted: 24-02-2021.

    Volume 17, Issue 74 · pp. 223–230 · PUBLISHED 12 July 2021 · DOI: 10.4103/pm.pm_187_20

    View on Pharmacogn. Mag. original site ↗

    ABSTRACT

    Background: Amomi fructus (AF) (a dried fruit of Amomum villosum Lour.) has been used in the treatment of digestive diseases such as abdominal pain and dysentery and in the prevention of abortion. The active ingredient of AF is its volatile oil. The volatile oil contains bornyl acetate and (1R,4R)‑(+)‑camphor, which are the primary active ingredients of AF that are analyzed for the quality assessment. Therefore, it is important to find an accurate and easy method to analyze the aforementioned volatile components of AF. Materials and Methods: In this study, 8 samples (A1–A4, B5 and B6, and C7 and C8) were collected and divided into Grades A, B, and C, respectively. The characteristics of volatile oils (the aroma) in these samples were analyzed using an electronic nose (E‑nose) and a gas chromatography–mass spectrometry. In this study, we proposed a bionic olfactory system based on E‑nose technology combined with a convolutional neural network algorithm for component identification. This system can qualitatively evaluate AF from different quality grades and quantitatively predict the contents of the two aforementioned primary chemical components. Results: The accuracy of qualitative identification was over 95% for Grade A samples and over 90% for Grade B and Grade C samples. Discussion: Based on our identification of the quality, Grade A samples were detected with an accuracy of 86.7%. However, Grade B and C samples were identified with lower accuracies (80% and 73.3%, respectively). Conclusion: The identification of quality of AF was successfully evaluated by two primary volatile components: bornyl acetate and (1R,4R)‑(+)‑camphor. The bionic olfactory system combined with an appropriate prediction model might be used as a potential quality control tool for Chinese herbal medicines.

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      Zhou, H., Li, Z., Luo, D., Gholamhosseini, H., Han, B., & Wang, H. (2021). Rapid Qualitative and Quantitative Analysis of Volatile Components and Quality Identification of Amomi Fructus Based on Bionic Olfactory System. Pharmacognosy Magazine, 17(74), 223–230. https://doi.org/10.4103/pm.pm_187_20