Long-acting injectable formulations are preferred over conventional formulations for the treatment of chronic diseases. The regulatory guidelines and pharmacopoeia have remained silent on dissolution methods for long-acting injectable formulations due to their diverse nature. The lack of compendial method for dissolution testing increases the duration of approval process for long-acting injectable formulations. This article reviews various dissolution methods used to study in vitro drug release profile of long-acting injectable formulations. Compendial as well as noncompendial methods, such as-flow-through cell method, sample and separate method, the dialysis method are used by researchers for drug release profile of long-acting injectable formulations. This review article also highlights the advantages and disadvantages of reported dissolution methods. The compiled work will help the researchers in designing the bio-relevant dissolution method and expedite the development of long-acting injectable formulations.

Objective: To establish an HPLC method of the content and related substances of compound amino acid injection(3AA). Methods: RP-HPLC was adopted to determine compound amino acid injection(3AA), combining with the use of two-dimensional column switching-LC/MSⁿ method was applied to separate and identify the impurities. The determination was performed on Capcell PAK AQ C₁₈(250 mm×4.6 mm, 3 μm) column with 0.2 mol·L^-1 sodium dihydrogen phosphate solution (adjusted pH to 2.8 with phosphoric acid) -acetonitrile (98∶2) as mobile phase at the flow rate of 1.0 mL·min^-1. The column temperature was 40 ℃, and the detection wavelength was 210 nm. And the injection volume was 20 μL. The LC/MSⁿ method was performed on a Thermo Accucore AQ C₁₈ (100 mm×4.6 mm, 2.6 μm) column with 0.1% formic acid solution as mobile phase A, 0.1% formic acid solution-acetonitrile as mobile phase B, at a flow rate of 0.4 mL·min^-1, and at a column temperature of 40 ℃. The mass spectrometry conditions were performed using an ESI ionisation source in the positive-ion scanning mode with a scan range of m/z 100-1 000, and the secondary mass spectrum was carried out by data-dependent scanning. Results: The related substances were completely separated from the main constituents in RP-HPLC. The standard curve of valine was linear over the range of 1.263-5.050 mg·mL^-1, with the average recovery of 99.0% (n=9). The standard curve of isoleucine was linear over the range of 1.350-5.402 mg·mL^-1, with the average recovery of 99.4%(n=9). The standard curve of leucine was linear over the range of 1.647-6.588 mg·mL^-1, with the average recovery of 99.5%(n=9). The main impurities in the three batches of samples were all process impurities introduced from the raw materials, with methionine content of 4.344 μg·mL^-1, 3.751 μg·mL^-1, 4.503 μg·mL^-1, respectively, phenylalanine content of 4.636 μg·mL^-1, 4.889 μg·mL^-1, 4.753 μg·mL^-1, respectively. The maximum single impurity contents were 0.01%, 0.02% and 0.01%, respectively. Conclusion: The method is proved by the methodology validation that it can be used for the quality control of compound amino acid injection(3AA).

This article focuses on the key experimental operations in the study about the applicability of microbial limit testing methods for drugs, summarizing literature and experience from the preparation of test solution, design of methods for microbial counting and control bacteria inspection, operation of microbial recovery test, bacterial liquid concentration counting, and operational methods for controlling bacterial & fungal purity. Emphasis was placed on the preparation methods of water-soluble test samples with strong antibacterial effects, non-oil and fat test samples that were not easily soluble and dispersed, and the test solution for oil and fat test samples. Detailed introduction of the sequential experimental plan for methods of aerobic bacterial count, mold & yeast count, and control bacterial inspection were introduced. Four operational methods for adding bacteria about membrane filtration were explained, and the impact of different ways of adding bacteria on the results of the method was analyzed. Summarized three counting methods for bacterial & fungal concentrations. Detailed sharing of operational experience on controlling the purity of bacterial solution. Summarized the current status about research on the applicability of microbial limit testing methods of drugs. Four suggestions for the future development of research on the applicability of microbial limit testing methods for drugs have been proposed:(1) Unify the operation about bacteria adding method in membrane filtration,scientific and reasonable;(2)Strengthen supervision of pharmaceutical production enterprises and review of microbial limit testing methods for drugs;(3)Unify the microbial limit testing methods for the drugs of the national sampling plan,and gradually collect and bind into a book;(4)Strengthen the research on the applicability of microbial limit testing methods for excipients.

Objective: To establish the substances benchmarks fingerprint of Daqinglong decoction and determine the content and transfer rate of 6 index components, and study the transfer rule of Daqinglong decoction substances benchmarks value, which laid the foundation for the study of Daqinglong decoction compound preparation and quality standard. Methods: Fifteen batches of substances benchmarks of Daqinglong decoction were prepared, and the paste rate was determined. To determine the contents of ephedrine, pseudoephedrine, amygdalin, and cinnamic acid, HPLC method was performed on a Dikma Platisil C₁₈ column (250 mm×4.6 mm, 5 μm). And 0.15% phosphoric acid water (A) and acetonitrile (B) were used as mobile phases with gradient elution at a flow rate of 1 mL·min^-1. The column temperature was 25 ℃, the detection wavelength was 207 nm, and the injection volume was 10 μL. To determine the contents of liquiritin and glycyrrhizic acid, 0.05% phosphoric acid water (A) and acetonitrile (B) were used as mobile phases with gradient elution. The detection wavelength was 237 nm. The transfer rate was calculated, and the transfer analysis from the decoction pieces to the substances benchmarks was carried out. Results: The fingerprint similarities of 15 batches of Daqinglong decoction substances were ≥0.921. Fifteen common peaks were identified, including 8 from Ephedrae Herba, 3 from Cinnamomi Ramulus, 2 from Glycyrrhizae Radix et Rhizoma(fried), and 2 from Armeniacae Semen Amarum(here). The contents of ephedrine, pseudoephedrine, amygdalin, liquiritin, cinnamic acid and glycyrrhizic acid were 0.94%-1.30%, 0.56%-1.02%, 0.70%-1.25%, 0.18%-0.32%, 0.05%-0.10% and 0.46%-1.23%, respectively. The transfer rates were 41.67%-59.47%, 42.66%-59.74%, 17.59%-36.34%, 21.48%-44.75%, 31.06%-48.89% and 12.95%-25.15%, respectively. The paste yields of substances benchmarks were 11.98%-13.38%. Conclusion: The fingerprint combined with the determination of paste rates and index component contents are used to study the quantitative value transfer of Daqinglong decoction substance benchmarks, and initially establish a scientific and stable substance benchmarks quality evaluation method, which can provide reference for the future research on compound preparation.

Objective: To screen the suitable monitoring method applicable to oligotrophs and review the bioburden and microbial species of oligotrophic environments in pharmaceutical water systems and cleanrooms. Methods: The culture conditions and detection methods suitable for microorganisms under oligotrophic conditions were optimized by comparing the counting results of microorganisms in laboratory pure water with R₂A and TSA media at different temperatures, media, and incubation times. In addition, monitoring of oligotrophs in pharmaceutical environments using both the traditional and oligotrophic assays were conducted, combining with the techniques of 16s rDNA sequencing and MALDI-TOF MS for multiphase microbial identification and analysis of the isolated microorganisms under oligotrophic conditions. Results: The colony counting methods, the type of culture media, and the incubation intervals significantly affected microbial enumeration. The isolation method using oligotrophic medium R₂A was more effective than the TSA medium in this study. The profiles of microorganisms isolated from the R₂A and TSA media were unique. The isolation rate of Gram-negative bacteria in the R₂A medium reached 37.0%, however, that of Gram-negative bacteria in the TSA medium was only 14.0%. In addition, several strains of potential pathogens initially isolated from the R₂A medium grew slowly in the TSA medium and were easily missed by the traditional monitoring method. Conclusion: With the development of the pharmaceutical industry, the contamination proportion of human-associated Gram-positive cocci might gradually decrease, the oligotrophic culture method as a powerful supplement to traditional monitoring techniques can help to detect potential objectionable microorganism contamination risks at an early stage.

Objective: To establish an ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) for the simultaneous determination of daidzein, formononetin, genkwanin, quercetin, rutin, apigenin, kaempferol, luteolin and puerarin in Tongfu Jingyaotong tincture. Methods: The Waters ACQUITY UPLC HSS T3 Column (100 mm×2.1 mm,1.8 μm) was used with methanol and 0.1% formic acid (gradient elution) as the mobile phase at a flow rate of 0.3 mL·min^-1. Column temperature was 45 ℃, and injection volume was 2.0 μL. Electrospray ion source was adopted with positive and negative ion modes and multi-reaction monitoring and acquisition. Results: Apigenin, genkwanin and daidzein had good linearity in the range of 0.2-1 000 ng·mL^-1, puerarin, rutin, luteolin, kaempferol and formononetin in the range of 0.2-2 000 ng·mL^-1, and quercetin in the range of 1.0-5 000 ng·mL^-1. The resolution was good, and the RSDs of precision, repeatability, reproducibility and stability test were all below 5% (n=6). The average recoveries ranged from 82.7% to 111.8% with RSDs (n=6) of 2.0%-5.4%. The contents of daidzein, formononetin, genkwanin, quercetin, rutin, apigenin, kaempferol, luteolin and puerarin in 6 batches of Tongfu Jingyaotong tincture were 8.46-17.97 μg·mL^-1, 0.62-1.67 μg·mL^-1, 0.03-0.08 μg·mL^-1, 1.34-2.22 μg·mL^-1, 0.70-1.14 μg·mL^-1, 0.48-0.99 μg·mL^-1, 0.20-0.90 μg·mL^-1, 0.10-0.16 μg·mL^-1 and 167.95-227.75 μg·mL^-1, respectively. Conclusion: This method has strong specificity, wide linear range, accuracy and efficiency, and can detect the contents of 9 active ingredients in Tongfu Jingyaotong tincture at the same time, which offers an effective quality control method for Tongfu Jingyaotong tincture.

Objective: To establish the HPLC characteristic chromatogram for Gujing Maisiha tablets, and evaluate the quality using chemical pattern recognition. Methods: The Welch Xtimate C₁₈ column (250 mm × 4.6 mm, 5 μm) was used and the mobile phases were acetonitrile (A) and 0.1% formic acid (B) in gradient elution (0-10 min,5%A→15%A;10-20 min,15%A;20-40 min,15%A→40%A;40-65 min,40%A→70%A; 65-66 min,70%A→90%A;66-80 min,90%A;80-81 min,90%A→5%A;81-85 min,5%A). The detection wavelength was 254 nm. The column temperature was 35 ℃ and the flow rate was 1.0 mL·min^-1. Gujing Maisiha tablets were analyzed to construct characteristic chromatogram. The quality of Gujing Maisiha tablets was assessed through similarity evaluation, cluster analysis, principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA). Results: The characteristic chromatogram of Gujing Maisiha tablets was established, which contained the twenty-eight distinct peaks, and seven compounds identified as gallic acid, chlorogenic acid, picrocrocin, isoquercitrin, crocin-Ⅰ, crocin-Ⅱ, eugenol. The similarities for the ten batches of Gujing Maisiha tablets were more than 0.98, with no significant difference observed. Cluster analysis segregated the samples into two distinct groups according to the Euclidean distance of 10, which was consistent with the results of PCA analysis. PLS-DA analysis screened out five components from Flos Caryophylli, Rosae Rugosae Flos, Olibanum that may cause differences between samples. Conclusion: The method of HPLC characteristic chromatogram of Gujing Maisiha tablets is effective, feasible and reproducible, which can provide reference for the study of quality standard of this product.

Objective: To establish an HPLC fingerprint of Zuoyu’an San and conduct quality control by combining chemometrics and quantitative analysis of multi-components with a single-marker(QAMS). Methods: HPLC was used to establish the fingerprint spectra of 12 batches of Zuoyu’an San and perform similarity evaluation. Cluster analysis (CA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were combined to perform chemical pattern recognition analysis on different batches of Zuoyu’an San. At the same time, QAMS method was established using rhein as the internal standard reference. The relative correction factors between the internal reference and jatrorrhizine, palmatine, berberine, aloe-emodin, emodin, chrysophanol, and physcion were established. The external standard method (ESM) and QAMS method were used to determine jatrorrhizine, palmatine, berberine, aloe-emodin, rhein, emodin, chrysophanol, and physcion in Zuoyu’an San, respectively. To verify the reliability of QAMS metod results, the contents of 8 components of physcion were determined. Results: A total of 23 common peaks were calibrated in the fingerprint, and 8 components were identified by comparing with the mixed reference solution. The similarity between the samples and the control spectrum was between 0.952 and 0.994; CA divided 12 batches of Zuoyu’an San samples into 3 categories; PCA showed that there were certain differences in the chemical composition of different batches of Zuoyu’an San, and extracted 5 principal components that affected the quality evaluation of Zuoyu’an San; OPLS-DA screened out 13 potential marker components (VIP>1) among 23 common peaks that caused quality differences between different batches of Zuoyu’an San samples; There was no significant difference between the QAMS method calculated value and the ESM measured value. Conclusion: The established HPLC fingerprint and multi-index component determination method was accurate and simple, and combined with chemometric methods, could provide reference for the quality control and evaluation of Zuoyu’an San.

Objective: To establish an innovative analytical method based on high resolution sampling two-dimensional chromatography (HiRes 2D-LC) for determination of the content of vitamin D₃ in vitamin D drops. Methods: Two-dimensional liquid chromatography was used. Thermo HYPERSIL Gold Silica (100 mm×2.1 mm, 1.9 μm) column was used in the first dimension with n-hexane-n-amyl alcohol (996∶4) as mobile phase. The flow rate was 0.2 mL·min^-1. The samples were injected and tested at the wavelength of 265 nm. The column temperature was 40 ℃. In the second dimension liquid chromatography, ShimPack Velox Hilic (50 mm×2.1 mm, 2.7 μm) was used as the column with n-hexane-n-pentanol-isopropanol (98∶1∶1) as the mobile phase. The flow rate was 0.5 mL·min^-1. The samples were injected and tested at the wavelength of 265 nm. The column temperature was 40 ℃. A six-position 14-way valve and was equipped with 2 multi-center cutting valves was equipped to make multiple consecutive cuts of the pre-vitamin D₃ peak and vitamin D₃ peak. Results: The calibration curves showed a good linearity at the range of 1.018 4-5.092 mg·mL^-1(r≥0.999 8). The precision test showed the RSDs of the peak area of pre-vitamin D₃ and vitamin D₃ were 0.95% and 0.40%, respectively. The repeatability test showed the RSD of vitamin D₃ content was 0.41%. The average recovery rate (n=9) was 101.4%. The test solution was stable at 4 ℃ and 10 ℃ for 12 h, and the RSDs were 0.58% and 0.66%, respectively. The contents of vitamin D₃ in the samples of vitamin D drops measured by this method were 100.4%, 101.6%, 100.9%, 101.6%, 102.7% and 101.6%, which was basically consistent with the results measured by the fourth method in General Chapter 0722 of ChP 2020 Vol Ⅳ. Conclusion: This method has a good specificity and high sensitivity to accurately determine the content of vitamin D₃ in vitamin D drops.

Objective: To establish a stable and reliable gas chromatography-tandem mass spectrometry method for the determination of N-nitrosodimethylamine (NDMA) in metformin hydrochloride sustained-release tablets, and to optimize extraction conditions by investigating the effects of isopropyl alcohol and thioglycerin on the stability of the tested solution. Methods: Separation was achieved on AB-InoWax capillary column (30 m×0.25 mm×0.25 μm) with polyethylene glycol as the stationary phase. Electron ion(EI) source and multiple reaction monitoring (MRM) mode were used. Quantitative determination was performed by both external standard and internal standard. Results: The addition of thioglycerin could significantly improve the stability of the test solution. NDMA showed good linearity within the concentration range of 0.25-50 ng·mL^-1(r>0.999). The detection limit of the method was 0.1 ng·g^-1 and the quantification limit of the method was 0.2 ng·g^-1. The average recoveries (n=9) were 97.3% and 94.9% while using external standard and internal standard, respectively. Precision, repeatability and stability were good with RSD less than 8%. Ninety batches of metformin hydrochloride sustained release tablets were tested. NDMA content in all detected samples were all less than 30% of the acceptable limit set by the National Medical Products Administration and FDA. Conclusions: This method shows satisfactory sensibility, specificity, accuracy, stability and durability, which is suitable for quantitative analysis of NDMA in metformin hydrochloride sustained-release tablets, providing technical support for the quality and safety of related products.

Objective: To establish a fast, accurate and sensitive method by UPLC-DAD-Q-TOF-MS/MS for the detection of 20 kinds of illegally added chemicals such as azilsartan,nifedipin, lacidipine、nebivolo in anti-hypertensive health foods. Methods: Waters HSS T3 C₁₈(100 mm×2.1 mm,1.8 μm ) column was used with mobile phase of 0.01 mol·L^-1 ammonium acetate aqueous solution-methanol and gradient elution(0 min, 5%A;0-8 min, 5%A→95%A;8-11 min,95%A;11-11.2 min,95%A→5%A;11.2-12 min,5%). The flow rate was 0.3 mL·min^-1. The injection volume was 1 μL. ESI⁺,ESI^- scan and MS/MS mode were applied. Qualitative and quantitative analyses were carried out by UPLC-DAD-Q-TOF-MS/MS. Results: The method was validated. A good linear relationship was showed in the concentration of 1-50 μg·mL^-1,(RSD<3%)and the recovery was obtained in range of 80.5%-98.7%. Illegally added chemical drugs were found in 15 batches of samples tested by this method. Two or more types of drugs were detected in 14 batches of samples. Torsemide, candesartan cilexetil, lacidipine were detected in 9 samples. Lacidipine and nebivolol were found in one of the sample. Conclusion: This method is fast, accurate and sensitive with a high degree of separation. It can be used as a powerful tool for the fast detection of illegally added chemicals in anti-hypertensive health foods.

Objective: To establish the RP-UPLC-PDA method for simultaneous determination of triptolide, triptonide, triptophenolide, wilforine, wilforlide A and celastrol in Tripterygii Radix. Methods: Tripterygii Radix were extracted with ethyl acetate and the extracts were dissolved and separated by methanol. The six components were determined by RP-UPLC-PDA method. The chromatographic column was Acquity^TM UPLC BEH C₁₈ column (100 mm×2.1 mm, 1.7 μm), the column temperature was 30 ℃, the injection volumn was 2 μL, the flow rate was 0.4 mL·min^-1 and the mobile phase was acetonitrile (A)-0.1% formic acid (B). Results: The linear relationship of six components was good (0.999 2≤r≤0.999 7) in the concentration ranges. The average recoveries were 99.2%-103.1% and RSDs were 1.2%-2.9%. The contents in 10 batches of Tripterygii Radix from different habitat were determined. The results showed that the contents of Tripterygii Radix in prepared pieces from different producing areas were different. The highest content of triptolide was 140.2 μg·g^-1, and the lowest content was 103.2 μg·g^-1. The highest content of triptonide was 224.7 μg·g^-1 and the lowest content was 112.2 μg·g^-1. The highest content of triptophenolide was 306.7 μg·g^-1 and the lowest content was 189.6 μg·g^-1. The highest and lowest contents of wilforine were 283.2 μg·g^-1 and 211.2 μg·g^-1. The highest content of wilfhabitat was 31.2 μg·g^-1 and the lowest content was 16.8 μg·g^-1. The highest content of celastrol was 87.6 μg·g^-1, and the lowest content was 52.1 μg·g^-1. Conclusion: The RP-UPLC-PDA method can simultaneously determine six components in Tripterygii Radix. The method is reliable and stable, which is suitable for quantitative analysis and determination of Tripterygii Radix.

Metabolomics, as a branch of systems biology, utilizes high-throughput omics technology to investigate metabolite changes within organisms, which enable us to explore the relationship between such alterations and disease etiology or evolution, thereby providing novel research insights for identifying relevant biomarkers and screening of diseases. In recent years, metabolomics has been widely used in the field of cancer research. At the same time, the changes of metabolic pathways can be deeply discussed by using the network shared database. Given that colorectal cancer ranks as the second most prevalent malignant tumor in China, it is crucial to search for clinically valuable tumor markers. This article will highlight the progress of recent five-year metabolomics studies in different matrices to identify potential biomarkers associated with colorectal cancer(CRC), so as to provide references for early screening of CRC.

Objective: To establish an HPLC characteristic chromatogram of Xifeng Huoluo capsules, and to determine the contents of gastrodin, amygdalin, strychnine, hydroxysafflower yellow A, brucine, paeoniflorin, ferulic acid, salvianolic acid B, cryptotanshinone, tanshinone Ⅰ, and tanshinone ⅡA. Methods: Extraction of 75% methanol was analyzed by a Venusil MP C₁₈ chromatographic column (250 mm×4.6 mm, 5 μm) using 0.1% phosphoric acid (A) -acetonitrile (B) as the mobile phase with gradient elution at a flow rate of 1.0 mL·min^-1. The column temperature was 30 ℃. The detection wavelengths were variable. The characteristic chromatograms of 10 batches of Xifeng Huoluo capsules were evaluated by similarity evaluation, and the eleven identified index components were quantitatively determined. Results: There were thirty-one common peaks in the characteristic chromatograms of eleven batches of samples and the similarities were all above 0.99. The common peaks could ascribed to twelve medicinal materials, and eleven of them were identified. Eleven components showed good linearity within their respective ranges (r≥0.999 4), and the average recoveries were 99.3%-103.0% with RSDs of 1.5%-2.4%. Conclusion: The established method has high sensitivity and strong specificity. The HPLC characteristic chromatogram combined with multi-component quantitative determination can fully reflect its inherent quality and can be used for the quality control of Xifeng Huoluo Capsules.

Objective: The early warning of new psychoactive substance iso-propoxate (homologue of etomidate) was carried out through sewage drug monitoring technology, and quantitative research was conducted to provide technical support for management and law enforcement. Methods: The abnormal results were obtained by quantitative analysis of multiple reaction monitoring (MRM) mode using online solid phase extraction-ultra high performance liquid chromatography tandem mass spectrometry (SPE-UPLC-MS/MS), and the basic information of abnormal substance was determined by precursor ion scanning mode. The qualitative determination was carried out using parallel reaction monitoring (PRM) mode by ultra high performance liquid chromatography quadrupole-orbitrap high resolution mass spectrometry (UPLC-Q exactive HRMS) after the directional synthesis of the compound. Quantitative study was then conducted by commercial reference products. The correlation analysis was carried out by SPSS 27. Results: The abnormal substance was determined to be iso-propoxate. The optimized MRM parameters could be distinguished from its isomers by specific ion abundance ratio. The correlation analysis of quantitative results showed that it was similar to etomidate and ketamine abuse areas. Conclusion: In the process of sewage drug monitoring, it is necessary to pay attention to the proportional relationship between prototype and metabolite. It is important to summarize the characteristic fragments and characteristic neutral loss information of specific types of compounds, carry out screening non-targeted detection for key samples in key areas in the monitoring process, and analyze potential substances using high-resolution mass spectrometry and other methods, so as to fully leveraging the early warning role of sewage drug monitoring.

Objective: To optimize the content determination method of morphine sulfate suppositories, which had high toxicity of extraction solvent and poor specificity and generality of chromatographic conditions. Methods: The optimization of the preparation method for the test solution was to prepare the test solution by ice bath freezing and n-heptane extraction, and to compare the content determination results of the test solution prepared by the United States Pharmacopeia method (extracted with trichloromethane). The optimization of chromatographic conditions for content determination was based on the comprehensive comparison of United States Pharmacopeia, British Pharmacopeia and YBH specification. Symmetry C₁₈ column (150 mm×4.6 mm, 5 μm) was finally used. The mobile phase was 0.01 mol·L^-1 potassium dihydrogen phosphate solution containing 0.202% sodium heptane sulfonate (containing 0.1% triethylamine, adjusted to pH 2.5 with phosphoric acid) -methanol (70∶30). The flow rate was 1.0 mL·min^-1. The column temperature was 30 ℃. The detection wavelength was 284 nm. The injection volume was 20 μL. Results: The content measured by ice bath freezing method was relatively low, while the content measured by n-heptane extraction and trichloromethane extraction was basically consistent, indicating that n-heptane could be used as extraction solvent instead of halogenated alkane. The linear range of morphine sulfate was 2.12-105.94 μg·mL^-1(r=0.999 9), and the LOQ was 10.60 ng. The RSD values of system precision, repeatability, intermediate precision and stability were all less than 2%. The average recoveries were 98.6%-99.6% and RSD was 0.21%-0.66%. After forced degradation, the main peak of the tested solution could be separated from the degraded impurities, with good specificity. By changing the flow rate, column temperature, pH value, mobile phase ratio and column brand, the main peak could be well separated from each impurity peak, with good robustness. Conclusions: This study optimized the determination method for morphine sulfate suppositories. The preparation of the test solution used n-heptane instead of the highly toxic haloalkane, and meanwhile improved the chromatographic conditions, enhanced the environmental protection, specificity and applicability of the method. It can be used for the content determination of morphine sulfate suppositories.

Objective: To study different batches of Xiaoer Resuqing granules by combining the method of fingerprint, multi-index component content determination and chemical pattern recognition analysis technology, and to provide the basis for its quality evaluation. Methods: The chromatographic SuperLu C₁₈(250 mm×4.6 mm, 5 μm) column was adopted with mobile phase composed of methanol (A)-0.1% phosphoric acid (B) with gradient elution at a flow rate of 1.0 mL·min^-1.The column temperature was 30 ℃, and the detection wavelength was 280 nm. Eleven characteristic components were identified, and the contents of seven active components, including puerarin, forsythiaside A, phillyrin, baicalin, wogonoside, baicalein and wogonin were determined. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used to classify 15 batches of samples, and orthogonal least partial squares discriminant analysis (OPLS-DA) was performed. To screen out the difference components between batches of Xiaoer Resuqing granules. Results: The HPLC fingerprint of Xiaoer Resuqing granules and the content determination method of 7 components were established, the results of the two methods met the requirements. Twenty-eight common peaks were identified, 11 chromatographic peaks were identified, and the similarities of 15 batches of samples ranged from 0.995 to 0.999. HCA and PCA results showed that 15 batches were clustered into two categories, and OPLS-DA screened out 13 markers that caused the differences among the 15 batches of samples. There was little difference in the contents of ingredients. Conclusion: The established HPLC fingerprint of Xiaoer Resuqing granules and the determination method of 7 components are specific, accurate and reliable. Combined with chemical pattern recognition, it can be effectively used for the quality control of Xiaoer Resuqing granules.

Objective: To establish a hydrogen nuclear magnetic quantitative method which can rapidly determine the contents of linalool and protocatechuate in Homalomena occulta. Methods: Using dimethyl sulfoxide-d₆(DMSO-d₆)as the test solvent and pyrazine -as the internal standard, ¹H-q NMR measurement was performed on a 400 MHz spectrometer. The quantitative resonance peaks of pyrazine, Linalool and protocatechuate were δ 8.66, δ 5.90 and δ 8.60, respectively. Results: The linear correlation coefficients of linalool and protocatechuate were good with r of 0.999 7 and 0.998 6, respectively. The RSDs of precision were 0.30% and 0.40%, and the recoveries were 98.8%-100.7%(RSD=3.7%) and 99.4%-100.6%(RSD=4.4%), respectively, which indicated that the established method was accurate, stable and feasible. And the whole detection process was completed in about three minutes. The contents of 2 components in 4 batches of Homalomena occulta were 0.328-0.398 mg·g^-1(linalool)and 0.559-0.630 mg·g^-1 (protocatechuate), respectively. Conclusion: The ¹H-q NMR method has the advantages of simple operation, fast analysis speed and specificity, and can be used for the simultaneous determination of two active components in Homalomena occulta, providing a scientific basis for the overall quality evaluation and quality control of Homalomena occulta.

Objective: To analyze and optimize stir-baked with vinegar technology of Genkwa Flos decoction pieces by multi-index weighted scoring method based on orthogonal experiment, and to provide technical index on standardization of stir-baked with vinegar technology of Genkwa Flos decoction pieces. Methods: The orthogonal experiment was employed to analyze and evaluate the four key factors related to stir-baked with vinegar technology including the amount of vinegar, dampening time, temperature and stir-baked time by the six main indicators including the total contents of chlorogenic acid, tiliroside, luteolin, apigenin, hydroxygenkwanin and genkwanin, the content of alcohol extractive and appearance characters. Results: The amount of vinegar and stir-baked temperature had notable effects, while the dampening time and stir-baked time had no notable effects on the test results. Considering comprehensively the effects of four key factors, the optimized stir-baked with vinegar technology was as follows: add 0.3 kg of vinegar to 1 kg of Genkwa Flos, and fry at 160 ℃ for 10 min after dampening for 15 min. Conclusion: This study offers guidance and reference for standardizing the stir-baked with vinegar technology of Genkwa Flos decoction pieces.

Objective: To establish an HPLC-principal component self-compare with correction factor method for quantification of two related substances (N-deacetyllappaconitine and ranaconitine) in lappaconitine hydrobromide injection. Methods: The analysis was performed on a Kromasil 300-5-C₁₈ (250 mm×4.6 mm,5 μm) column with a mobile phase composed of 0.04 mol·L^-1 potassium dihydrogen phosphate solution, methanol and acetonitrile (68∶17∶15). The detection wavelength was 252 nm, the flow rate was 0.8 mL·min^-1, the column temperature was 37 ℃, and the injection volume was 10 μL. The slope of linear equation was used to determine the relative correction factor between the two impurities and lappaconitine hydrobromide. The relative retention time was used to determine the position of related substances. The contents of two impurities in 25 batches of lappaconitine hydrobromide injection produced by four pharmaceutical companies were determined and compared with the results of the external standard method. Results: Lappaconitine hydrobromide and the impurities were separated well by this method. The relative retention time of N-deacetyllappaconitine and ranaconitine were 1.20 and 1.39, and the correction factors were 1.23 and 0.94, respectively. Lappaconitine hydrobromide, N-deacetyllappaconitine and ranaconitine showed good linearity in the mass concentration ranges of 0.951 7-38.07 μg·mL^-1, 1.047-41.87 μg·mL^-1 and 1.001-40.02 μg·mL^-1 with r=1.000, respectively. The average recovery rates of lappaconitine hydrobromide, N-deacetyllappaconitine and ranaconitine were 100.2%, 100.5% and 100.5% respectively, with RSD less than 2.0%. The limits of detection (LOD) of lappaconitine hydrobromide, N-deacetyllappaconitine and ranaconitine were 0.095, 0.10, 0.10 μg·mL^-1 and the limits of quantitation (LOQ) were 0.32, 0.35 and 0.33 μg·mL^-1, respectively. The content of N-deacetyllappaconitine in 25 batches of lappaconitine hydrobromide injection was in the range of 0.31%-0.82% and the content of ranaconitine was in the range of 0%-0.09%. It was consistent with the determination result of the external standard method. Conclusion: The method is proved to be simple, rapid, and accurate for the determination of related substances in lappaconitine hydrobromide injection.

Objective: To conduct odor analysis of the main effective components, namely volatile oils, contained in two varieties, Notopterygium incisum Ting ex H.T.Chang and Notopterygium franchetii H.de Boiss, to provide a feasible method for promptly and accurately distinguishing between the differences in volatile oils of these two varieties of Notopterygii Rhizoma et Radix. This enriches the traditional evaluation content and serves as a reference for assessing the quality of extracts predominantly governed by volatile oils. Methods: The flavors of two samples of Notopterygii Rhizoma et Radix volatile oil were analyzed using electronic nose technology and sensory evaluation. The electronic nose data obtained were subjected to analysis and identification through principal component analysis (PCA) and linear discriminant analysis (LDA). Additionally, two nondestructive testing models-Fisher discrimination and multilayer perceptron (MLP) neural network discrimination were established for sample differentiation. Results: Sensory evaluation results indicated that pine resin flavor, cool flavor and woody flavor were the primary odor characteristics of both Notopterygii Rhizoma et Radix volatile oils. Additionally, the key flavor attribute influencing acceptance and differentiation was identified as spoiled yuba flavor, with the Notopterygium franchetii H. de Boiss volatile oil exhibiting a stronger presence of this attribute than the Notopterygium incisum Ting ex H. T. Chang volatile oil. The electronic nose results revealed that the nitrogen oxides’ response values in Notopterygium franchetii H. de Boiss volatile oil were significantly higher than those in Notopterygium incisum Ting ex H. T. Chang volatile oil. Meanwhile, the response values of hydrides, alcohol ether aldehydes, and ketones were slightly lower in Notopterygium franchetii H. de Boiss volatile oil compared to Notopterygium incisum Ting ex H. T. Chang volatile oil. The Fisher discriminant model demonstrated overall discrimination rates of 93.8% for the training set and 87.5% for the prediction set of the two volatile oils. In contrast, the MLP model achieved discrimination rates of 89.3% for the training set and 91.7% for the prediction set. Notably, the MLP model proved effective for identifying volatile oils, while the Fisher model exhibited greater suitability for discriminating volatile oils with broad-leaved characteristics. Conclusion: The combination of artificial senses and intelligent senses can be characterized from both subjective and objective perspectives, elucidating the flavor differences between the two kinds of Notopterygii Rhizoma et Radix volatile oils. The established Fisher discriminant function and MLP discriminant models can rapidly and accurately distinguish between the two kinds of Notopterygii Rhizoma et Radix volatiles. This lays a preliminary foundation for quality control in Notopterygii Rhizoma et Radix volatiles and offers new ideas and directions.

Objective: To establish a quantitative model to in-line in situ determination of the water content of domperidone tablets particles in fluidized bed granulation drying process. Methods: Using micro near infrared spectrometer, in-line collected near infrared(NIR) spectrum of domperidone tablets particles in granulation drying process, took sample at different drying time to acquire sample in different level of water content. The pretreatment method of first derivative(FD), multiplicative scatter correction (MSC) and Savitzky-Golay smoothing were selected. The modeling band was 1 100-1 600 nm, model was established by partial least square(PLS) method, and validation was executed including accuracy, precision, specificity, linearity and range, robustness. Results: The root mean square error of cross validation(RMSECV) was 0.079 7,the coefficient of determination(R²) was 0. 994 5,the root mean square error of prediction(RMSEP) was 0.092 3, the R² was 0.986 0. All validation results met predefined criteria. Conclusion: It is feasible for using micro NIR spectrometer to in-line measure the water content of domperidone tablets particles which provides an experimental basis for the in-line application of process analysis technology in pharmaceutical industry.