ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Background: and Purpose Live cell-based assays (LCBA) are increasingly used for serological antibody detection due to their ability to preserve antigen conformation, offering moderately higher sensitivity than fixed cell-based assays. However, the clinical necessity of prioritizing LCBA for the detection of aquaporin-4 immunoglobulin G (AQP4-IgG) in neuromyelitis optica spectrum disorder (NMOSD) remains unclear, especially when compared to its established role in diagnosing myelin oligodendrocyte glycoprotein antibody-associated disease. Methods: We compared the performance of live cell-based assays using immunofluorescence (LCBA-IF) and fixed cell-based assays using immunofluorescence (FCBA-IF) in detecting AQP4-IgG in 90 cases of NMOSD meeting 2015 International Panel for Neuromyelitis Optica Diagnosis criteria, alongside 40 controls. Additionally, we further investigated the relationship between AQP4-IgG titers as measured by LCBA-IF and FCBA-IF and clinical parameters in NMOSD patients. Results: Results showed 96.9% agreement between LCBA-IF and FCBA-IF (Cohen’s κ=0.935), with a strong Spearman correlation (0.977, p<0.001). Both methods demonstrated 100% specificity, with LCBA-IF showing slightly higher sensitivity compared to FCBA-IF. Within LCBAIF-tested groups, statistically significant differences in annualized relapse rates were observed across all pairwise comparisons (low-titer vs. moderate-titer, low-titer vs. high-titer, and moderate-titer vs. high-titer; all p<0.050). However, this association reached statistical significance in some FCBA-IF-tested groups. Conclusions Overall, there is a strong concordance between LCBA-IF and FCBA-IF in detecting AQP4-IgG, where LCBA-IF shows slightly higher sensitivity. Furthermore, there is a potential link between elevated AQP4-IgG titers and an increased risk of relapse, and this correlation may appear more pronounced when using LCBA-IF.

OBJECTIVE To establish a high-performance liquid chromatography（HPLC） fingerprint and a multi-component content determination method for Ziziphus jujuba stir-fried with Coptis chinensis juice， a characteristic processed product of Longsha Medical School， and to provide a basis for the inheritance and clinical application of this distinctive variety. METHODS HPLC method was employed to establish the fingerprints of 12 batches of Z. jujuba stir-fried with C. chinensis juice. Similarity evaluation and common peak identification were subsequently carried out. Quantitative determination was performed on coclaurine， magnoflorine， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， spinosin， berberine hydrochloride， palmatine hydrochloride， 6"'-feruloylspinosin， and jujuboside A of samples. RESULTS The fingerprint similarities of all 12 batches of samples were higher than 0.960. A total of 17 common peaks were calibrated， among which 9 peaks were identified as coclaurine， magnoflorine， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， spinosin， berberine hydrochloride， palmatine hydrochloride， and 6"'-feruloylspinosin， respectively. The quantitative results showed that the mass fractions of coclaurine， magnoflorine， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， spinosin， berberine hydrochloride， palmatine hydrochloride， 6"'-feruloylspinosin， and jujuboside A in the 12 batches of samples were 0.044-0.091， 0.908-1.698， 0.325-0.549， 0.163-0.287， 0.103-0.172， 0.712-0.952， 1.185-1.843， 0.341-0.598， 0.228-0.405， and 0.050-0.091 mg/g， respectively. CONCLUSIONS The established HPLC fingerprint and multi-component determination method is stable and reliable， and can provide a basis for the quality standard formulation and clinical application of Z. jujuba stir-fried with C. chinensis juice.

Objective: To investigate the relationship between night-time noise exposure and depressive symptoms among junior and senior high school students, so as to provide evidence to support strategies for promoting their physical and mental health. Methods: From September 2024 to December 2025, 2 900 junior and senior high school students were selected using stratified cluster random sampling in the three cities of Nanning, Lhasa, and Yanji. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess depressive symptoms in junior and senior high school students, and a noise exposure survey was conducted. Chi-square test was used to compare the prevalence of depressive symptoms among junior and senior high school students with different types of night-time noise exposure, and Logistic regression models were employed to examine the association between night-time noise exposure and depressive symptoms among junior and senior high school students. Results: The prevalence of depressive symptoms among junior and senior high school students without night-time noise exposure was 33.0%, while that among junior and senior high school students with night-time noise exposure was 49.0%; the difference was statistically significant ( χ 2= 45.85 , P <0.01) . After adjusting for gender, age and region, Logistic regression analysis showed that exposure to night-time traffic noise, neighborhood noise, air conditioner noise, and other types of noise showed increased risk of detecting depressive symptoms in junior and senior high school students ( OR =2.22, 1.84, 2.41, 2.17, all P <0.05). Conclusion Night-time noise exposure is associated with an increased risk of depressive symptoms among junior and senior high school students.

Objective To explore the medication patterns of famous traditional Chinese medicine practitioners in treating challenging aspects of idiopathic membranous nephropathy(IMN)based on data mining.Methods Medical cases meeting the inclusion and exclusion criteria were collected.Statistical analysis of syndrome patterns,herb frequency,association rules,and cluster analysis were conducted for key challenges,including disease duration ≥ 1 year,renal function impairment,hypoalbuminemia,and hypertriglyceridemia.Results A total of 128 medical cases were included.Spleen-kidney deficiency syndrome was identified as the most common pattern.Based on herb frequency and association rule analysis,Huangqi,Baizhu,Fuling,Danggui,Danshen were the most frequently used in prescription.Cluster analysis revealed core herbal groupings primarily based on classical formulas such as Zhenwu decoction,Shenling Baizhu powder,and Shuilu Erxian dan.Conclusion In the medical cases addressing treatment challenges,the syndrome patterns were predominantly characterized by spleen-kidney deficiency.Core medications included Huangqi,Baizhu,Fuling,Danggui and Danshen.The treatment emphasizes strengthening invigorating spleen and kidney,with variations in medication patterns based on disease duration and complications.

AIM To establish the preparation process and quality standard for Zhenggu Pills.METHODS With decoction time,decoction frequency and water addition as influencing factors,comprehensive score for extract yield and transfer rates of epicatechin and naringin as an evaluation index,the decoction process was optimized by orthogonal test.With sugarless paste relative density,medicinal powder fineness,sugarless paste-corn starch ratio,drying temperature and drying time as influencing factors,soft material traits,pill formability,moisture and disintegration time limit as evaluation indices,the formability process was optimized by single factor test.TLC was adopted in the qualitative identification of Dipsaci Radix,salt-processed Psoraleae Fructus,cooked Rhei Radix et Rhizoma and Notoginseng Radix et Rhizoma.HPLC was used for the content determination of paeoniflorin and naringin.RESULTS The optimal decoction process was determined to be 0.5 h for decoction time,two times for decoction frequency,and 10 times for water addition,the comprehensive score was 0.93.The optimal formability process was determined to be 1.21-1.22 for sugarless paste relative density,80 mesh for medicinal powder fineness,1∶0.17-1∶0.18 for sugarless paste-corn starch ratio,70 ℃ for drying temperature,and 24 h for drying time,good soft material traits and pill formability were observable,and moisture and disintegration time limit accored with 2020 edition of Chinese Pharmacopoeia requirements.The TLC spots were clear without negative interference.Two constituents showed good linear relationships within 61.30-490.41 μg/mL(r=0.999 8)and 3.27-26.18 μg/mL(r=0.999 8),whose average recoveries were 100.15％and 98.15％with the RSDs of 0.55％and 2.30％,respectively.CONCLUSION This stable,reliable and specific method can be used for the production and quality evaluation of Zhenggu Pills.

AIM To study the chemical constituents from the stems and barks of Maytenus variabilis(Hemsl.)C.Y.Cheng.METHODS The 95％ethanol extract from the stems and barks of M.variabilis was isolated and purified by silica gel,Sephadex LH-20 and semi preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Twenty-three compounds were isolated and identified as β-amyrin(1),3β-acetoxyolean-12-en-11-one(2),ursa-12-ene-11-one-3-ol octocosate(3),friedelin(4),canophyllol(5),pinoresinol(6),medioresinol(7),isolariciresinol(8),dihydrodehydrodiconiferyl alcohol(9),vanillic acid(10),7R,8S-5-methoxydihydrodehydroconiferyl alcohol(11),β-hydroxypropiovanillone(12),triptregeline B(13),triptregeline E(14),(+)-evofolin B(15),2,5-dimethoxybenzoquinone(16),olean-12-ene-3,11-dione(17),β-sitosterol(18),(-)-(7R,7'R,7"S,8S,8'S,8"S)-4',4"-dihydroxy-3,3',3",5-tetramethoxy-7,9',7',9-diepoxy-4,8"-oxy-8,8'-sesquineolignan-7",9"-diol(19),phyllostadimer B(20),rayalinol(21),lyoniresinol(22),dihydrobuddlenol B(23).CONCLUSION Compounds 3,9-11,13-14,16,19-21,23 are isolated from genus Maytenus for the first time,and compounds 2,4-5,7-8,12,15,17,22 are first found from this plant.

AIM To study the chemical constituents of Anaphalis margaritacea(L.)Benth.& Hook.f.and their antioxidant activities.METHODS Separation and purification were performed using silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH method and ABTS method.RESULTS Twenty-three compounds were isolated and identified as trans-tilidroside(1),4'-hydroxydehydrokawain(2),apigenin(3),3-O-kaempferol-3-O-acetyl-6-O-(p-coumamoyl)-α-D-glucopyranoside(4),kaempferol(5),quercetin-3-O-β-D-(6-O-Z-p-coumamoyl)-glucopyranoside(6),tiliroside(7),kaempferol-3-O-β-D-glucoside(8),3,5-dihydroxy-7,8-dimethoxyflavone(9),bis(2-ethylhexyl)adipate(10),3,5-dihydroxy-6,7,8-trimethoxyflavone(11),stigmasterol(12),myriophylloside B(13),1-hexadecanol(14),chlorogenic acid(15),4-hydroxy-N-{ 4-[3-(4-hydroxyphenyl)-E-acryloylamino]-butyl}-benzamide(16),3,6-dimethylpiperazine-2,5-dione(17),β-adenosine(18),5,6-dehydrokawain(19),kaempferol-3-O-(2",6"-di-O-E-p-coumaroyl)-β-D-glucopyranoside(20),kaempferol-3-O-(3"-O-E-p-coumaroyl)-(6"-O-E-feruloyl)-β-D-glucopyranoside(21),4,5-di-caffeoylquinic acid butyl ester(22),3,4-di-caffeoylquinic acid butyl ester(23).The IC50 values of compounds 1,7,22-23 against DPPH free radicals were(24.67±1.63)-(53.41±1.61)μmol/L,and the IC50 values of compounds 8,21-23 against ABTS+free radicals were(15.22±0.89)-(41.66±6.29)μmol/L.CONCLUSION Compounds 9,19-23 are isolated from genus Anaphalis for the first time,and 2,10,13,14,16,17,19-23 are first isolated from this plant.Compounds 1,7-8,21-23 have strong antioxidant activity.

Organophosphorus nerve agents are the most threatening chemical warfare agents and terrorist agents.The number of nerve agents and their related chemicals involved in the verification of Chemical Weapon Convention(CWC)exceeds ten million,with the majority being isomers.Accurate structural identification of these chemicals has always been one of the challenges in CWC related verification analysis.In this work,a total of 17 kinds of alkyl phosphonate isomers and structural analogs from 5 groups were designed and synthesized,and then analyzed by gas chromatography-mass spectrometry(GC-MS)and gas chromatography-infrared spectroscopy(GC-FTIR).The spectra of isomers or structural analogs obtained from two techniques as well as the structural information provided therein were compared and analyzed.The results showed that for isomers or structural analogs with similar MS spectra,FTIR spectra could provided more structural fingerprint information of compounds and had advantages in confirming structures.Combined with the excellent separation ability of GC,GC-FTIR can be used to assist GC-MS in the structural confirmation of alkyl phosphates,achieving rapid and accurate identification of isomers or structural analogues.

Due to the immaturity of visualization and quantitative analysis methods,the utilization rate of level 3 characteristics is seriously insufficient.In this work,based on the wet-membrane method and scanning electrochemical microscopy(SECM),and the introduction of conductive black ink to enhance the visualization effect,a systematic level 3 feature quantitative method was developed.Firstly,the feasibility and effect of the multi-level characteristics extraction strategy of latent fingerprints was investigated.Then,the influences of various deposition conditions on the level 3 features were explored.The results showed that the higher the deposition pressure,the wider the ridges,and the smaller the pore size.Moreover,excessive oil content could cause the pore size to be smaller and even been covered.Subsequently,the quantitative method was established from various pore characteristics such as pore number,pore activity,pore size,pore-to-pore distance and pore-to-pore angle.The stability of the level 3 features(pore number,pore-to-pore distance and pore-to-pore angle)was confirmed via repeated experiments on the same fingerprint region.After stability test,the recognition ability of three indicators was investigated for different fingerprints,verifying the uniqueness of pore-to-pore distance and pore-to-pore angle.Finally,a multiple recognition strategy was proposed that combined frequency distribution fitting curves for pore-to-pore distance and angle with other level 3 details,and was successfully applied to incomplete fingerprint recognition.This ink-enhanced optical and electrochemical extraction method and quantitative analysis provided a new path for fingerprint recognition.