OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Polyurethane (PUR) plastics is widely used because of its unique physical and chemical properties. However, unreasonable disposal of the vast amount of used PUR plastics has caused serious environmental pollution. The efficient degradation and utilization of used PUR plastics by means of microorganisms has become one of the current research hotspots, and efficient PUR degrading microbes are the key to the biological treatment of PUR plastics. In this study, an Impranil DLN-degrading bacteria G-11 was isolated from used PUR plastic samples collected from landfill, and its PUR-degrading characteristics were studied. Strain G-11 was identified as Amycolatopsis sp. through 16S rRNA gene sequence alignment. PUR degradation experiment showed that the weight loss rate of the commercial PUR plastics upon treatment of strain G-11 was 4.67%. Scanning electron microscope (SEM) showed that the surface structure of G-11-treated PUR plastics was destroyed with an eroded morphology. Contact angle and thermogravimetry analysis (TGA) showed that the hydrophilicity of PUR plastics increased along with decreased thermal stability upon treatment by strain G-11, which were consistent with the weight loss and morphological observation. These results indicated that strain G-11 isolated from landfill has potential application in biodegradation of waste PUR plastics.
Plastics/metabolism* ; Polyurethanes/chemistry* ; RNA, Ribosomal, 16S ; Bacteria/genetics* ; Biodegradation, Environmental

After the completion of the pilot work of traditional Chinese medicine formula granules （TCMFGs）， the national and provincial medical products administrations have published and implemented about 440 varieties of TCMFGs standards. Based on the previous work， this paper analyzed technical problems encountered in the review and evaluation of Shandong TCMFGs standards， mainly involving the executive standards and distinguishing technologies of raw materials， the adding process of excipients in the procedure item， the rationality of quality control methods， the information content and reproducibility of characteristic chromatograms， the nomenclature and accessibility of reference materials， etc. The common problems such as the coverage of standards， specification differences， and the integrity of quality control items of current TCMFGs standards were discussed deeply. It is proposed to promote the upgrading of provincial standards to national standards， accelerate the research and development of reference materials， advocate the use of high-quality raw materials， explore the evaluation methods of high-quality products， and strengthen the quality supervision of the whole process. Suggestions of this paper is hoped to provide references for the formulation of national and provincial TCMFGs standards， promote the continuous improvement of TCMFGs standard system， and ensure the healthy and orderly development of the TCMFGs industry.

ObjectiveTo investigate the protective effect of Zhizi prescription （ZZP） on carbon tetrachloride （CCl₄）-induced acute and subacute liver injury and its mechanism. MethodAcute and subacute liver injury animal models were induced. C57 mice were randomly divided into a normal group， model group， obeccholic acid group， ZZP high-dose （0.5 g·kg^-1） group， and ZZP low-dose （0.25 g·kg^-1） group. According to the experiment design， the serum and liver tissue of mice were collected after the last administration. Hematoxylin-eosin （HE） and Sirius staining was used to observe the liver pathological changes. Serum alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bilirubin （TBIL）， liver homogenate hydroxyproline （Hyp）， malondialdehyde （MDA）， and superoxide dismutase （SOD） levels were determined by kit. The levels of tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6） in the liver tissue were determined by enzyme-linked immunosorbent assay （ELISA）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expressions of collagen 1A1 （Col1a1）， collagen 3A1 （Col3a1）， fibronectin （FN）， transforming growth factor β receptor Ⅱ （Tgfbr2） and α-smooth muscle actin （α-SMA） in the liver tissue. ResultIn terms of the acute liver injury， as compared with the normal group， the levels of ALT， AST， TBIL and MDA in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. Compared with model group， the ZZP high-dose and low-dose groups both significantly reduced the degree of liver cell injury， and protected the acute liver injury induced by CCl₄. The ZZP high-dose group had a better effect than the ZZP low-dose group. In terms of the subacute liver injury， the levels of ALT， AST， MDA，TNF-α and IL-6 in the model group were significantly increased （P<0.01）， while the activity of liver SOD was significantly decreased （P<0.01）. As compared with the model group， liver Hyp content in the ZZP high-dose and low-dose groups was significantly decreased （P<0.01）， and the collagen deposition in liver of both groups was significantly reduced. The ZZP high-dose group also significantly down-regulated the mRNA expressions of α-SMA， Col1a1， Col3a1， FN， and Tgfbr2 in the liver of mice （P<0.05， P<0.01）. ConclusionZZP effectively protects the acute and subacute liver injury induced by CCl₄， and the protective effect is proportional to its concentration. The mechanism may be related to the increase of the activity of antioxidant enzymes in the liver tissue， the decrease of the level of lipid peroxidation， and the inhibition of inflammatory response， thus reducing collagen deposition and improving early liver fibrosis.

Biodegradation of polyurethane (PUR) pollutants by microorganisms has received widespread attention currently. Identification of microorganisms capable of efficiently degrading PUR plastics is a key point. In this study, a strain P10 capable of degrading PUR was isolated from the plastic wastes, and identified as a bacterium belonging to the genus of Brevibacillus based on colony morphology and 16S rDNA phylogenetic analysis. Brevibacillus sp. P10 was capable of degrading 71.4% of waterborne polyurethane (Impranil DLN) after 6 days growth in MSM medium with DLN as a sole carbon source. In addition, strain P10 can use commercial PUR foam as the sole carbon source for growth. Brevibacillus sp. P10 can degrade 50 mg PUR foam after 6 days growth in MSM medium supplemented with 5% (V/V) LB after optimization of degradation conditions. This indicates that Brevibacillus sp. P10 has potential to be used in biodegradation of PUR waste.
Bacteria ; Biodegradation, Environmental ; Phylogeny ; Polyurethanes