Identification rapide du degré de cuisson de Chuanxiong au vin basée sur la technologie sensorielle intelligente et l'analyse statistique multidimensionnelle

  • role: First author第一作者
  • Affiliation:

    Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing,Jiangsu Key Laboratory of Chinese Medicine Processing,Key Research Laboratory of Chinese Materia Medica Processing Standards of National Administration of Traditional Chinese Medicine(TCM), Nanjing University of Chinese Medicine,Nanjing 210023,China

    Institute of Medical Fungi and TCM Biotechnology,Nanjing University of Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China

  • Email:zhangxiaolong4502@163.com
  • Introduction:E-mailzhangxiaolong4502@163.com
ZHANG Xiaolong12,  
  • Affiliation:

    Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing,Jiangsu Key Laboratory of Chinese Medicine Processing,Key Research Laboratory of Chinese Materia Medica Processing Standards of National Administration of Traditional Chinese Medicine(TCM), Nanjing University of Chinese Medicine,Nanjing 210023,China

    Institute of Medical Fungi and TCM Biotechnology,Nanjing University of Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China

MA Xiaoni12,  
  • Affiliation:

    Institute of Medical Fungi and TCM Biotechnology,Nanjing University of Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China

WANG Xinzhu2,  
  • Affiliation:

    Institute of Medical Fungi and TCM Biotechnology,Nanjing University of Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China

HU Po2,  
  • Affiliation:

    Institute of Medical Fungi and TCM Biotechnology,Nanjing University of Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210023,China

PAN Yang2,  
  • role: Corresponding author通信作者
  • Affiliation:

    Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing,Jiangsu Key Laboratory of Chinese Medicine Processing,Key Research Laboratory of Chinese Materia Medica Processing Standards of National Administration of Traditional Chinese Medicine(TCM), Nanjing University of Chinese Medicine,Nanjing 210023,China

  • Email:ltl2021@njucm.edu.cn
  • Introduction:E-mailltl2021@njucm.edu.cn
LU Tulin1*,  
  • role: Corresponding author通信作者
  • Affiliation:

    Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing,Jiangsu Key Laboratory of Chinese Medicine Processing,Key Research Laboratory of Chinese Materia Medica Processing Standards of National Administration of Traditional Chinese Medicine(TCM), Nanjing University of Chinese Medicine,Nanjing 210023,China

  • Email:ygm@njucm.edu.cn
  • Introduction:Tel025-85811731E-mailygm@njucm.edu.cn *
YANG Guangming1*

résumé

Cette étude vise à explorer les règles de variation de la couleur, de l'odeur et des composants lors du processus de cuisson au vin de Chuanxiong, à sélectionner des marqueurs différentiels pour fournir une base de référence pour la normalisation du procédé et l'établissement de normes de qualité. Quinzième lots de Chuanxiong provenant de quatre régions ont été collectés. Un colorimètre a été utilisé pour identifier les variations de la couleur selon le degré de cuisson, un nez électronique pour analyser les composés odorants, et des méthodes statistiques telles que PLS-DA, PCA, DFA et le test de Fisher ont été appliquées pour identifier les différents degrés de cuisson et construire un modèle de discrimination. Les composés différentiels ont été sélectionnés selon la valeur de projection de l’importance des variables (VIP) supérieure à 1. La chromatographie liquide à haute performance (HPLC) a été employée pour détecter les variations de contenu d'acide férulique, lactone de Chuanxiong I, lactone de Chuanxiong A et lactone de Gaoben tout au long du procédé. Les résultats montrent que les différences principales résident dans les paramètres de couleur L* (luminosité), a* (rouge-vert) et b* (jaune-bleu). Une plage de référence colorimétrique pour une cuisson modérée au vin a été établie. L'analyse des odeurs a révélé des différences significatives entre les degrés de cuisson avec 11 marqueurs d'odeur identifiés, dont 4 marqueurs différentiels selon la valeur VIP : 4-hydroxy-3-butyl-phthalide, isopropyl butyrate, L-limonène et 1-méthoxyhexane. L’analyse HPLC a montré que, à l’exception de la lactone de Gaoben dont le changement est significatif, les autres composés ne présentent pas de différences majeures. Cette étude réalise une identification rapide du degré de cuisson de Chuanxiong au vin grâce à la technologie sensorielle électronique et à la détection de composés différentiels, avec une précision de discrimination de couleur et d'odeur de 92,4% et 93,272% respectivement. Elle établit une plage de référence colorimétrique et sélectionne quatre composants odorants différentiels, fournissant une base pour la normalisation du procédé et les standards de qualité des préparations.

mots-clés

Chuanxiong cuit au vin; technologie sensorielle électronique; détection de composants; paramètres colorimétriques; marqueurs différentiels

References

  1. 1.
    Chinese Pharmacopoeia Commission.Pharmacopoeia of the People's Republic of China:Volume 1[M].Beijing:Chinese Medical Science Press,2025:43-44.
  2. 2.
    GUAN Y M,JIANG C,ZANG Z Z,et al.Research progress on chemical constituents,pharmacological effects and clinical application of volatile oil from Chuanxiong Rhizoma[J].Chin Tradit Pat Med,2024,46(3):873-880.
  3. 3.
    ZHANG X J,ZHANG Y l,Z D D,Research progress on chemical constituents and pharmacological effects of Chuanxiong Rhizoma[J].Chin J Inf Tradit Chin Med,2020,37(6):128-133.
  4. 4.
    YIN Y,MOU C Y,SHEN Z X,et al.Research progress on chemical constituents and pharmacological effects of Chuanxiong Rhizoma[J].Global Chin Med,2025,18(3),635-641.
  5. 5.
    LIAN K,YE J H,LI X,et al.Visualization analysis of research trends and hotspots of traditional Chinese medicine Chuanxiong from 2010 to 2023[J].China J Chin Mater Med,2023,48(17):4789-4797.
  6. 6.
    ZHENG K X.Study on the processing technology,the quality standards and the pharmacodynamics of three kinds of new Rhizoma Chuanxiong[D].Chengdu:Chengdu University of Traditional Chinese Medicine,2018.
  7. 7.
    ZHANG W,ZHENG P,ZHANG J,S,et al.Based on electronic nose and HS-GC-MS,the changes of volatile components before and after processing of Chaxiong wine were analyzed[J].Chin J Exp Tradit Med Form,2025,31(2):173-181.
  8. 8.
    ZHANG T T,LI Y D,ZHENG K X,et al.Multi-index comprehensive weighted scoring method combined with D-optimal design response surface method was used to optimize the processing technology of wine Chuanxiong Rhizoma[J].Chin Tradit Herb Drugs,2018,49(15):3639-3644.
  9. 9.
    LIAO Z Y,AO M Y,LI X,et al.Study on the effects of different processing methods on the chemical constituents of Chuanxiong Rhizoma[J]. China J Chin Mater Med,2021,46(2):374-379.
  10. 10.
    PEI K,NING Y,CAI H,et al.Comparative study of Chuanxiong Rhizoma before and after processing based on HPLC fingerprint combined with chemical pattern recognition[J]. Chin Tradit Herb Drugs,2021,52(5):1274-1283.
  11. 11.
    Zhonghua Bencao Committee of National Administration of Traditional Chinese Medicine.Chinese Materia Medica:Volume 5[M].Shanghai:Shanghai Scientific Technical Publishiers,1998:976-986.
  12. 12.
    QU Z N,LV C,BI Y,et al.Study on the color and taste changes of different processed products of hawthorn based on electronic bionic sensory technology[J].Chin Tradit Herb Drugs,2024,55(20):6929-6939.
  13. 13.
    SWANSON B,FOGG L,JULION W,et al.Electronic nose analysis of exhaled breath volatiles to identify lung cancer cases:A systematic review[J].J Assoc Nurses AIDS Care,2020,31(1):71-79.
  14. 14.
    PENG J Y,HUANG Y J,WEN J W,et al.Based on HS-GC-MS and electronic sensory technology,the color and odor changes of different processed products of Paeoniae Radix Alba were analyzed[J].Chin J Exp Tradit Med Form,2024,30(20):141-150.
  15. 15.
    SHI Y B,FU R,LI M X,et al.Discrimination of different processing degrees and quantitative study of processing end point of vinegar-processing Cyperi Rhizoma pieces based on electronic sensory technology[J].China J Chin Mater Med,2023,48(18):5003-5013.
  16. 16.
    LIU L T,XIAO Y,LI J,et al.Study on the optimization of processing technology of Evodia rutaecarpa and the change rule of color and taste before and after processing[J].Cent South Pharm,2020,18(3):411-417.
  17. 17.
    YANG Y L,LI S S,YANG Y T,et al.Consistency evaluation of processing of black Panacis Quinquefolii Radix decoction pieces based on "chromaticity-chemistry-activity"[J].Chin J Exp Tradit Med Form,2025,31(20):195-203.
  18. 18.
    XIN L,WEN J W,GONG W H,et al.Analyzing differences in volatile components of Citri Reticulatae Pericarpium before and after being stir-fried with Halloysitum Rubrum based on HS-GC-MS and intelligent sensory technology[J].Chin J Exp Tradit Med Form,2025,31(7):157-162.
  19. 19.
    XU H X,WU X Y,PEI J,et al.Study on the correlation between safflower flavonoids and its chromaticity value[J].J Chin Med Mater,2018,41(1):49-54.
  20. 20.
    KIM J H.Multicollinearity and misleading statistical results [J].Korean J Anesthesiol,2019,72(6):558-569.
  21. 21.
    CASASENT D,CHEN X W.Radial basis function neuralnet works for nonlinear Fisher discrimination and Neyman-Pearson classification[J].Neural Networks,2003,16(5/6):529-535.
  22. 22.
    JIN Y.Effect of standardized processing on clinical efficacy of traditional Chinese medicine[C]//China Hospital CEO,Intelligent Medical Branch of China Medical Materials Association,Shanxi Continuing Medical Education Association.2024 Thesis Collection of the 6th Intelligent Hospital Construction and Development Conference.Suzhou:[Publisher unknown].2024:225-227,230.
  23. 23.
    XUE R,DAI Y P,WANG B,et al.Research and prospect on quality control standard of Chinese herbal pieces[J].China Food Drug Adm Mag,2022(11),32-41.
  24. 24.
    XU M,YANG S L,PENG W,et al.A novel method for the discrimination of semen arecaeand its processed products by using computer vision,electronic nose,and electronic tongue[J].Evid Based Complement Alternat Med,2015,2015:753942.
  25. 25.
    SHI Y B,LI M X,FU R,et al.Research status and prospect of on-line detection technology in intelligent production and quality control of traditional Chinese medicine decoction pieces[J].Mod Chin MED,2024,26(5):881-888.

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