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 6^th 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.