1.Empirical study of input, output, outcome and impact of community-based rehabilitation stations
Xiayao CHEN ; Ying DONG ; Xue DONG ; Zhongxiang MI ; Jun CHENG ; Aimin ZHANG ; Didi LU ; Jun WANG ; Jude LIU ; Qianmo AN ; Hui GUO ; Xiaochen LIU ; Zefeng YU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):83-89
ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.
2.Mechanism of Huazhuo Sanjie Chubi Presciption in Regulating Macrophage Polarization and Improving Low-grade Inflammation in Rats with Chronic Gouty Arthritis
Yuwan LI ; Yingjie ZHANG ; Siyuan LIN ; Xiaohua CHEN ; Qianglong CHEN ; Fan YANG ; Jun LIU ; Bingyan CHEN ; Peng CHEN ; Jiemei GUO ; Youxin SU ; Yan XIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):93-104
ObjectiveTo evaluate the therapeutic effect of Huazhuo SanJie Chubi presciption (HSCD) on chronic gouty arthritis (CGA) rats with low-grade inflammation and to explore the underlying mechanism with a focus on macrophage polarization. MethodsThe 41 male 6-week-old SD rats were randomly allocated, using the random number table, to a normal group (n=8) and a model group (n =33). CGA with low-grade inflammation was induced in the model group by daily gavage of potassium oxonate (250 mg·kg-1·d-1) and hypoxanthine (300 mg·kg-1·d-1), combined with intra-articular injection of a monosodium urate (MSU) crystal suspension (50 μL, 25 g·L-¹) into the left ankle twice weekly. After 4 weeks of modeling, 3 rats were randomly selected from each group for model validation. The remaining successfully modeled rats were randomly divided into a model group, an HSCD group (10.35 g·kg-1·d-1, gavage once daily), an M1 polarization agonist group (L-methionine sulfoximine, 300 mg·kg-1, subcutaneous injection every other day), an M1 polarization agonist + HSCD group, an M2 polarization inhibitor group (PD0325901, 10 mg·kg-1·d-1, gavage once daily), and M2 polarization inhibitor + HSCD group. The corresponding drug or drug combination was administered according to group assignment, whereas rats in the normal and model groups received 0.5% carboxymethyl cellulose sodium (CMC-Na) vehicle (10.35 g·kg-1·d-1, gavage once daily). All interventions were continued for four weeks. During the intervention period, except for the normal group, potassium oxonate (250 mg·kg⁻¹) and hypoxanthine (300 mg·kg-1) were co-administered by gavage every other day to maintain the model. At the end of treatment, serum uric acid (SUA), ankle joint diameter and joint swelling index were measured. The levels of high-sensitivity C-reactive protein (hs-CRP), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), chemokine C-C motif ligand 2 (CCL2), S100 calcium-binding protein A8/A9 (S100A8/A9), interleukin-10 (IL-10) and arginase-1 (Arg-1) in serum and joint fluid were determined by enzyme-linked immunosorbent assay (ELISA). High-frequency ultrasound was used to assess MSU deposition in the ankle joint. Hematoxylin-eosin (HE) staining was performed to evaluate synovial histopathological changes. Quantitative Real-time PCR and immunofluorescence were used to detect the mRNA and protein expression of the M1 macrophage polarization markers inducible nitric oxide synthase (iNOS) and the M2 macrophage polarization marker scavenger receptor cysteine-rich type 1 protein M130 (CD163) in synovial tissue. ResultsCompared with the normal group, the model group showed significantly elevated SUA level and joint swelling index, and increased levels of pro-inflammatory cytokines, CCL2, and S100A8/A9 in both serum and joint fluid (P<0.05), accompanied by MSU deposition and synovial inflammation in the ankle joint. The mRNA and protein expression levels of macrophage polarization M1/M2 markers iNOS and CD163 in synovial tissues were also significantly up-regulated (P<0.05). Compared with model group, rats in HSCD group had significantly lower SUA levels, attenuated joint swelling, reduced serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in both serum and joint fluid, accompanied with alleviated MSU deposition and synovial inflammation (P<0.05). HSCD markedly downregulated the mRNA and protein expression of M1 marker iNOS (P<0.05), whereas it had no significant effect on the expression of M2 marker CD163. Compared with the M1 polarization agonist group, the M1 polarization agonist + HSCD group showed significantly reduced joint swelling, lower serum levels of pro-inflammatory cytokines, and decreased levels of CCL2 and S100A8/A9 in joint fluid (P<0.05). In addition, synovial inflammatory cell infiltration and angiogenesis were attenuated, and iNOS mRNA and protein expression levels were significantly reduced (P<0.05). Compared with the M2 polarization inhibitor group, the M2 polarization inhibitor + HSCD group exhibited reduced joint swelling, decreased levels of CCL2 and S100A8/A9 in joint fluid and ameliorated synovial inflammation (P<0.05), whereas the levels of anti-inflammatory mediators (IL-10, Arg-1) and CD163 mRNA and protein expression were not significantly increased. ConclusionHSCD alleviates low-grade inflammation in CGA rats, at least in part, by inhibiting macrophage polarization toward the M1 phenotype.
3.Effect and Action Mechanism of Huazhuo Sanjie Chubi Prescription on Gouty Bone Erosion Model Rats Based on PI3K/Akt Signaling Pathway
Zhuoming ZHENG ; Jun LIU ; Meiling WANG ; Xiaohua CHEN ; Yuwan LI ; Siwei PENG ; Yingjie ZHANG ; Ruifang YANG ; Youxin SU ; Yan XIAO ; Jiemei GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):105-117
ObjectiveThis paper aims to observe the effect of Huazhuo Sanjie Chubi prescription (HSCD) on the gouty bone erosion model rats and investigate its action mechanism. MethodsThirty-six two-month-old male SD rats were randomly divided into the blank group with nine rats and the modeling group with 27 rats. The rats in the modeling group were administered hypoxanthine solution at 300 mg·kg-1·d-1 and potassium oxonate solution at 250 mg·kg-1·d-1, combined with intra-articular injection of 200 μL monosodium urate (MSU) crystal suspension at 25 g·L-1 into the right ankle joint (joint injection once every three days), so as to induce the gouty bone erosion model. After four weeks of modeling, three rats were selected from these two groups to validate the model. The modeled 24 rats were randomly divided into the model group, HSCD group (10.35 g·kg-1·d-1), allopurinol group (20 mg·kg-1·d-1), and inhibitor group (LY294002, 10 mg·kg-1·d-1), with six rats per group. Except for the blank group, rats in all other groups continued to receive hypoxanthine solution at 300 mg·kg-1 and potassium oxonate solution at 250 mg·kg-1 via gavage concurrently with administration to maintain modeling intervention. The rats in the HSCD group and allopurinol group received administration by gavage at the above doses. The rats in the inhibitor group received an intraperitoneal injection at the above dose. The rats in the blank group and model group received saline (10.35 g·kg-1·d-1) by gavage for four consecutive weeks. After administration, ankle joint swelling of the rats in all groups was observed, and the diameters were measured. Bone volume fraction (BV/TV) and bone surface area to bone volume (BS/BV) were observed and quantitatively analyzed by Micro-CT. Histopathological changes in the ankle joint were observed by hematoxylin-eosin (HE) staining and safranin O-fast green staining. The uric acid in the rats' serum was determined by enzyme colorimetry. The levels of inflammatory factors, including tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were measured by enzyme-linked immunosorbent assay (ELISA). The protein expressions of receptor activator of nuclear factor-κB ligand (RANKL) and phosphorylated (p)-phosphatidylinositol-3-kinase (PI3K) in ankle joint tissues of rats were detected by immunofluorescence staining. The mRNA levels of the proteins related to the bone erosion, including RANKL, tartrate-resistant acid phosphatase
4.Multi-component Quality Consistency Evaluation of Leonuri Herba Granules Based on HPLC-DAD-CAD Multi-detector Technique and Chemometrics
Shuangyan LI ; Jun ZHANG ; Cong GUO ; Siyuan LI ; Jipeng DI ; Jiangmin SU ; An LIU ; Xiaodi KOU ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):174-181
ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules, reveal the quality fluctuation patterns of products from the same and different manufacturers, providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector(HPLC-DAD-CAD) was employed to determine the contents of 4 components(syringic acid, leonurine hydrochloride, ferulic acid, and stachydrine hydrochloride) in samples from 19 manufacturers(53 batches, 159 boxes). Additionally, fingerprint profiles were constructed, and the fingerprint dissimilarity(PS) and relative standard deviation(RSD) of different samples from the same manufacturer were calculated. A principal component analysis(PCA) model was established with PS and the RSD values of the 4 components as variables to classify the manufacturers. Finally, samples from 5 manufacturers(M1-M5) covering three consistency groups were selected to calculate three quality consistency parameters, namely intra-batch consistency(PA), inter-batch consistency(PB), and PS. Then, PCA was performed with PA, PB, and PS of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them, the content of stachydrine hydrochloride(a pharmacopoeial quality control component) was 32.46-72.70 mg per bag, all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China, with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows:syringic acid of 1.43-41.92 mg per bag, leonurine hydrochloride of 0.67-11.85 mg per bag, and ferulic acid of 0.11-3.81 mg per bag. Notably, leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer(RSD of 4.8%-59.2%). PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers(M2, M6, M7, M8, M10, M15, M17, M18) demonstrated relatively high consistency, five manufacturers(M3, M9, M12, M13, M14) showed moderate consistency, six manufacturers(M1, M4, M5, M11, M16, M19) exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers, verifying the reliability of the proposed method. Among these, manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories, and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.
5.Multi-component Quality Consistency Evaluation of Leonuri Herba Granules Based on HPLC-DAD-CAD Multi-detector Technique and Chemometrics
Shuangyan LI ; Jun ZHANG ; Cong GUO ; Siyuan LI ; Jipeng DI ; Jiangmin SU ; An LIU ; Xiaodi KOU ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):174-181
ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules, reveal the quality fluctuation patterns of products from the same and different manufacturers, providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector(HPLC-DAD-CAD) was employed to determine the contents of 4 components(syringic acid, leonurine hydrochloride, ferulic acid, and stachydrine hydrochloride) in samples from 19 manufacturers(53 batches, 159 boxes). Additionally, fingerprint profiles were constructed, and the fingerprint dissimilarity(PS) and relative standard deviation(RSD) of different samples from the same manufacturer were calculated. A principal component analysis(PCA) model was established with PS and the RSD values of the 4 components as variables to classify the manufacturers. Finally, samples from 5 manufacturers(M1-M5) covering three consistency groups were selected to calculate three quality consistency parameters, namely intra-batch consistency(PA), inter-batch consistency(PB), and PS. Then, PCA was performed with PA, PB, and PS of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them, the content of stachydrine hydrochloride(a pharmacopoeial quality control component) was 32.46-72.70 mg per bag, all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China, with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows:syringic acid of 1.43-41.92 mg per bag, leonurine hydrochloride of 0.67-11.85 mg per bag, and ferulic acid of 0.11-3.81 mg per bag. Notably, leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer(RSD of 4.8%-59.2%). PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers(M2, M6, M7, M8, M10, M15, M17, M18) demonstrated relatively high consistency, five manufacturers(M3, M9, M12, M13, M14) showed moderate consistency, six manufacturers(M1, M4, M5, M11, M16, M19) exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers, verifying the reliability of the proposed method. Among these, manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories, and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.
6.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
7.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
8.Association between medium to long term ambient PM 2.5 exposure and overweight/obesity among primary and secondary school students
Chinese Journal of School Health 2025;46(7):937-940
Objective:
To investigate the association between medium to long term PM 2.5 exposure around school areas and overweight/obesity among primary and secondary school students in Guangxi, providing data support and theoretical foundations for scientifically addressing overweight and obesity in primary and secondary school students.
Methods:
From September to November 2023, a stratified cluster random sampling method was employed to select 251 183 students aged 7-18 years (grade 1 to grade 12) from 14 prefecture level cities (111 districts and counties) in Guangxi. PM 2.5 mass concentration data were obtained from the Tracking Air Pollution in China (TAP) dataset. Preliminary comparative analysis was conducted using the Mann-Whitney U test, while binary Logistic regression models were applied to quantify the relationship between PM 2.5 exposure and overweight/obesity. Restricted cubic spline analysis was further utilized to examine the nonlinear association between PM 2.5 concentration and overweight/obesity risk.
Results:
The detection rate of overweight/obesity among Guangxi students in 2023 was 19.5%. The median PM 2.5 concentration in the year prior to the study was higher in the overweight/obesity group (23.22 μg/m 3) compared to the non overweight/obesity group (22.63 μg/m 3) ( Z=-15.66, P <0.01), and consistent trends were observed across gender (male/female) and educational stage (primary/junior/senior high school) subgroups (all P <0.01). Binary Logistic regression revealed that for every 10 μg/m 3 increase in the annual average PM 2.5 concentration, the risk of overweight/obesity increased by 12% ( OR=1.12, 95%CI=1.09- 1.15 , P <0.01). Restricted cubic spline analysis indicated a nonlinear relationship between monthly PM 2.5 levels and overweight/obesity risk ( P trend <0.01). Below 22.68 μg/m 3, PM 2.5 exposure showed no significant association with obesity risk; above the threshold, the risk increased with rising PM 2.5 levels.
Conclusion
Medium to long term PM 2.5 exposure around school environments is significantly associated with overweight/obesity among primary and secondary school students.
9.Analysis of Quality Difference Factors of Perillae Caulis Based on Chemometrics Combined with TOPSIS Model
Maoqing WANG ; Sha CHEN ; Qian MA ; Jun ZHANG ; Qingxia XU ; Cong GUO ; Rui SHEN ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):168-175
ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei, Anhui and Guangdong, and their diameter range, epidermis color and producing areas were recorded. Total flavonoids, total phenols, volatile oils, 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry, ultra performance liquid chromatography-photodiode array detector(UPLC-PDA) and gas chromatography-mass spectrometry(GC-MS). Then the differences between the contents of these components were analyzed by principal component analysis(PCA) and non-parametric test. According to the weights of the index components determined by PCA model, entropy weight-technique for order preference by similarity to ideal solution(TOPSIS) model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters, epidermis colors and producing areas, and 9 differential components were screened out, including 6 index constituents(total flavonoids, total phenols, caffeic acid, scutellarin, rosmarinic acid and luteolin) and 3 volatile components(caryophyllene oxide, (-)-humulene epoxide Ⅱ, 14-hydroxycaryophyllene), of which 6 index constituents were higher in samples with small diameter, purple-brown epidermis and southern origin, while the contents of 3 volatile components were higher in samples with large diameter, dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters, epidermis colors and origins(P<0.05), and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area, especially Guangdong, had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters, epidermal colors and production areas of Perillae Caulis, samples showing small diameter, owing purple-brown epidermis, and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.
10.Analysis of Quality Difference Factors of Perillae Caulis Based on Chemometrics Combined with TOPSIS Model
Maoqing WANG ; Sha CHEN ; Qian MA ; Jun ZHANG ; Qingxia XU ; Cong GUO ; Rui SHEN ; Yan LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):168-175
ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei, Anhui and Guangdong, and their diameter range, epidermis color and producing areas were recorded. Total flavonoids, total phenols, volatile oils, 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry, ultra performance liquid chromatography-photodiode array detector(UPLC-PDA) and gas chromatography-mass spectrometry(GC-MS). Then the differences between the contents of these components were analyzed by principal component analysis(PCA) and non-parametric test. According to the weights of the index components determined by PCA model, entropy weight-technique for order preference by similarity to ideal solution(TOPSIS) model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters, epidermis colors and producing areas, and 9 differential components were screened out, including 6 index constituents(total flavonoids, total phenols, caffeic acid, scutellarin, rosmarinic acid and luteolin) and 3 volatile components(caryophyllene oxide, (-)-humulene epoxide Ⅱ, 14-hydroxycaryophyllene), of which 6 index constituents were higher in samples with small diameter, purple-brown epidermis and southern origin, while the contents of 3 volatile components were higher in samples with large diameter, dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters, epidermis colors and origins(P<0.05), and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area, especially Guangdong, had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters, epidermal colors and production areas of Perillae Caulis, samples showing small diameter, owing purple-brown epidermis, and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.


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