Optimization of Decoction Technology and Establishment of Quality Standard for Moringa oleifera Leaf Standard Decoction / 中国实验方剂学杂志

ObjectiveBased on response surface methodology combined with principal component analysis（PCA）， the optimal decocting process of Moringa oleifera leaf standard decoction was optimized， and its multi-index quality evaluation system was established， in order to provide scientific basis for the quality control of this standard decoction. MethodResponse surface methodology and PCA were used to optimize the decoction process by taking the relative peak areas of 8 characteristic peaks and dry extract yield as indexes. Based on this， the quality of 15 batches of the standard decoction was evaluated by high performance liquid chromatography（HPLC） characteristic chromatogram， determination of major components（neochlorogenic acid， L-tryptophan， cryptochlorogenic acid， vicenin-2， isoquercetin， astragalin）， determination of active parts（total flavonoids， total organic acids， total polysaccharides， total α-amino acids， total sinapine）， dry extract yield， specific gravity and pH. ResultThe optimal decocting process was to soak M. oleifera leaves（100.00 g） for 30 min and decoct twice with the first decoction of 12 times the amount of water for 30 min and the second decoction of 10 times the amount of water for 20 min. Standard decoction containing 0.2 g·mL-1 of crude drug was defined by x¯±30%， the specific gravity was 0.722-1.340， pH was 3.86-7.16， dry extract yield was 23.1%-42.9%， and the alcohol-soluble extract content was 8.26%-15.34%. Calculated according to the dried products of the standard decoction， the contents of neochlorogenic acid， L-tryptophan， cryptochlorogenic acid， vicenin-2， isoquercetin and astragalin were 1.99-3.69， 1.20-2.22， 1.44-2.67， 0.53-0.99， 2.45-4.55， 1.22-2.26 mg·g-1， the relative transfer rates relative to the herbs were 34.37%-63.83%， 62.43%-115.94%， 64.65%-120.06%， 56.98%-105.82%， 37.46%-69.57%， 41.81%-77.64%， respectively. The contents of total flavonoids， total organic acids， total polysaccharides， total α-amino acids， total sinapine were 10.19-18.92， 11.82-21.96， 94.07-174.71， 42.69-79.27， 9.55-17.73 mg·g-1， the relative transfer rates for herbs were 25.72%-47.77%， 41.78%-77.59%， 64.90%-120.54%， 42.30%-78.57%， 34.99%-64.99%， respectively. ConclusionThe optimized decocting technology of M. oleifera leaf standard decoction is stable and feasible， and the established multi-indicator quality evaluation system can lay the foundation for the quality control of this standard decoction.

Identification of Dalbergia odorifera and Its Counterfeits by HS-GC-MS / 中国实验方剂学杂志

ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.

Effect of performance determinants on nhl final goal difference / Impacto de los determinantes de desempeño en la diferencia final de goles en la nhl / Efeito dos determinantes de desempenho na diferença final de gols da nhl

ABSTRACT Introduction: In ice hockey games, the team's performance is influenced by many contextual factors, and understanding playing styles allows to reveal how key performance indicators vary under different situations. Objective: This research aims to explore the playing styles of elite ice-hockey teams and to identify key performance aspects under different final goal difference situations. Methods: This article analyzed compared the match performance of 31 National Hockey League teams during 1271 matches considering their playing styles and final goal difference. Results: The principal component analysis obtained 8 performance components describing the technical-tactical styles of the teams. The subsequent analysis found that there was significant difference between three match outcomes in unfavorable state, major penalties, puck possession maintaining ability, shot defending ability, aggressive performance (p<0.001; = 0.007-0.273). Conclusions: Higher-ranked teams winning the unbalanced games showed better performance in shot defending ability and aggressive performance. Lower-ranked teams losing in unbalanced games kept less possession of the puck and were more likely to be shorthanded (p<0.05, ES=0.131-1.410). The study demonstrates how playing styles can be used to contextualize key determinants from ice hockey games. Level of evidence I; Therapeutic Studies Investigating the Results of Treatment.

RESUMEN Introducción: En los juegos de hockey sobre hielo, el rendimiento del equipo está influenciado por varios factores contextuales, y comprender los estilos de juego permite revelar cómo varían los indicadores clave de rendimiento en diferentes situaciones. Objetivo: Esta investigación tiene como objetivo explorar los estilos de juego de los equipos de hockey sobre hielo de élite e identificar aspectos clave del rendimiento en diferentes situaciones de diferencia de gol final. Métodos: El rendimiento del partido de 31 equipos de la Liga Nacional de Hockey durante 1271 partidos fue analizado y comparado, considerando el estilo de juego y la diferencia de gol final. Resultados: El análisis de componentes principales obtuvo 8 componentes de rendimiento que describen los estilos técnico-tácticos de los equipos. El análisis posterior encontró que hubo una diferencia significativa entre tres resultados de partido en estado desfavorable, penalizaciones principales, habilidad para mantener la posesión del disco, habilidad para defender el tiro, desempeño agresivo (p<0,001; = 0,007-0,273). Conclusión: Los equipos de clasificación más alta que ganaron los juegos desequilibrados mostraron un mejor rendimiento en la capacidad de defensa de disparos y en el rendimiento agresivo. Los equipos de clasificación más baja que perdieron en juegos desequilibrados mantuvieron menos posesión del disco y tenían más probabilidades de estar en desventaja numérica (p<0,05, ES=0,131-1,410). El estudio demuestra cómo los estilos de juego pueden utilizarse para contextualizar los determinantes clave de los juegos de hockey sobre hielo. Nivel de Evidencia I; Estudios Terapéuticos que Investigan los Resultados del Tratamiento.

RESUMO Introdução: Nos jogos de hóquei no gelo, o desempenho da equipe é influenciado por vários fatores contextuais, e entender os estilos de jogo permite revelar como os principais indicadores de desempenho variam em diferentes situações. Objetivo: Esta pesquisa tem como objetivo explorar os estilos de jogo das equipes de hóquei no gelo de elite e identificar aspectos-chave de desempenho em diferentes estilos de jogo e a diferença do resultado final. Métodos: O desempenho de partida de 31 equipes da National Hockey League durante 1271 partidas foi analisado e comparado, considerando o estilo de jogo e a diferença de gol final. Resultados: A análise de componentes principais retornou 8 componentes de desempenho, descrevendo os estilos técnico-táticos das equipes. A análise subsequente revelou que houve diferença significativa entre três resultados de jogo em estado desfavorável, penalidades principais, habilidade de manter a posse do disco, habilidade de defender o lance e desempenho agressivo (p<0,001; = 0,007-0,273). Conclusão: As equipes de classificação mais alta que venceram os jogos em desequilíbrio numérico de jogadores apresentaram melhor desempenho na habilidade de defender o lance e no desempenho agressivo. As equipes de classificação mais baixa, que perderam em jogos desequilibrados, mantiveram menos posse do disco e tiveram maior probabilidade de ficar com um jogador a menos (p <0,05, ES = 0,131-1,410). O estudo demonstra como os estilos de jogo podem ser usados para contextualizar os principais determinantes dos jogos de hóquei no gelo. Nível de Evidência I; Estudos Terapêuticos Investigação dos Resultados do Tratamento.

Riesgo de Caídas y Parámetros de Marcha en Personas Mayores de la Comunidad: ¿Cuáles son los Indicadores de Función y Disfunción del Movimiento? / Risk of Falls and Gait Parameters in Community Elderly: What Are the Indicators of Movement Function and Dysfunction?

Introducción. La población de personas mayores (PM) en Chile presenta un incremento sostenido con importantes tasas de fragilidad y riesgo de caídas (RC). El desempeño de marcha permite valorarlo mediante parámetros mecánicos y fisiológicos. Nos preguntamos, ¿cuáles podrían ser los más relevantes para estimar RC en condiciones de marcha confortable (MC) y máxima (MM)? Objetivo. Identificar los principales parámetros de marcha que podrían explicar RC en PM autovalentes de la comunidad. Métodos. Estudio observacional y transversal en el cual participaron 53 PM autovalentes de la comuna de Talca, Chile (edad 71±7años; IMC 29,1±3,4 kg/m2). Se solicitó a los participantes la ejecución de MC (n=53) y posteriormente MM (n=36). Ambas modalidades fueron desarrolladas en un circuito elíptico de 40m durante 3min. El RC se categorizó como: "sin riesgo", "riesgo dinámico" según prueba timed up and go (TUG) positiva, "riesgo estático" según estación unipodal (EUP) positiva y "riesgo mixto" con ambas pruebas positivas. Para la visualización de la variación gráfica en el morfoespacio de los individuos según RC, se realizó un análisis de componentes principales (ACP) mediante el Programa RStudio, utilizando 6 variables cinemáticas: i) velocidad promedio de marcha (VPM), ii) cadencia, iii) máximo despeje del pie (MDP), iv) coeficiente de variación (%CV) del MDP, v) longitud de zancada (LZ) y vi) %CV de la LZ. Además de 2 variables fisiológicas: i) % frecuencia cardiaca de reserva utilizada (%FCRu) y ii) el índice de costo fisiológico según la relación entre FC y VM (latidos/metros). Resultados. Para MC las dimensiones del ACP explican el 56% de la variabilidad de los datos, siendo los indicadores de seguridad de RC la VM, cadencia, LZ y MDP. La variabilidad de marcha explica RC mixto y el ICF junto al %FCRu se asocian a RC dinámico. En condiciones de MM, el ACP explica 60% de la variabilidad de datos, donde las PM sin RC se asocian con VM, LZ y MDP. Por su parte, la variabilidad del MDP se vincula con RC dinámico y las variables fisiológicas con el RC mixto. Conclusiones. Los parámetros de marcha que mejor explican una marcha segura y eficiente son cinemáticos de la fase de balanceo, mientras que la variabilidad y el costo fisiológico se asocian como indicadores de RC dinámico y mixto.

Background. Introduction: The elderly population (EP) in Chile is experiencing a sustained increase with significant rates of frailty and risk of falls (RF). Gait performance can be assessed using mechanical and physiological parameters. We wonder, which ones could be the most relevant to estimate RF in self-selected walking speed (SSWS) and maximum walking speed (MWS) conditions? Objective. Identify the main gait parameters that could explain RF in self-sufficient elderly individuals from the community. Methods. This observational and cross-sectional study included 53 self-sufficient elderly individuals from the commune of Talca, Chile (age 71±7 years; BMI 29.1±3.4 kg/m2). Participants were asked to perform SSWS (n=53) and subsequently MWS (n=36). Both modalities were conducted on a 40m elliptical circuit for 3 minutes. RF was categorized as: "no risk," "dynamic risk" based on a positive timed up and go test, "static risk" based on a positive one-legged stance test, and "mixed risk" with both tests positive. To visualize the graphical variation in the morphospace of individuals according to RF, a principal component analysis (PCA) was conducted using RStudio, utilizing 6 kinematic variables: i) walking speed (WS), ii) cadence, iii) maximum foot clearance (MFC), iv) coefficient of variation (%CV) of MFC, v) stride length (SL), and vi) %CV of SL. In addition to 2 physiological variables: i) % of reserve heart rate used (%RHRu) and ii) the physiological cost index based on the relationship between heart rate and WS (heartbeats/meters). Results. For SSWS, the PCA dimensions explained 56% of the data variability, with gait safety indicators such as WS, cadence, SL, and MFC explaining RF. Gait variability explains mixed RF, while the physiological cost index and %RHRu are associated with dynamic RF. In MWS conditions, PCA explains 60% of the data variability, where the elderly persons without RF are associated with WS, SL, and MFC. On the other hand, MFC variability is related to dynamic RF, and physiological variables are associated with mixed RF. Conclusions. The gait parameters that best explain safe and efficient walking are kinematic parameters of the swing phase, while variability and physiological cost are indicators of dynamic and mixed RF.

Women’s Literacy a Major Predictor of Population Size: Findings from National Family Health Survey-5

Background: The global population continues to rise at different rates in different parts of the world. While some countries are seeing a fast population increase, others are experiencing population loss. Significant ramifications of such changes in the global population distribution would be felt, as they are critical for meeting the Sustainable Development Goals (SDGs), or we might say that rapid population expansion poses obstacles to sustainable development. Estimating the population size and composition by age, sex, and other demographic parameters is crucial for analyzing the country’s future influence on poverty, sustainability, and development. This study tries to look at these parameters covered by the National Family Health Survey- 5 (NFHS 5) to see how accurate and trustworthy the predictors of district population size are. Methodology: The study assessed the predictors of the population size of any district. It was conducted using the secondary data of phase 1 of NFHS-5. The outcome variable is the population of each district. Household profiles, literacy among women, their marriage and fertility, contraceptive usage, and unmet need for family planning were considered to assess their potential as a predictor of the district’s population size. Principal component analysis (PCA) was conducted to identify the predictors. Result: PCA was conducted on 18 variables, resulting in 7 principal components. Cumulatively, these components explained 77.6% of the total variation in data. On multiple linear regression, four principal components were found significant and these were related to women’s literacy, contraceptive usage, early pregnancy, the marriage of fewer than 18 years, and those using health insurance. Conclusion: Thus, women’s literacy plays a pivotal role in determining a region’s population size.

Composition and Diversity of Algal Flora in Jahanara Imam-Pritilota Hall Sorobar (JP) Lake of Jahangirnagar University Campus, Savar, Dhaka, Bangladesh

The study aimed to evaluate the composition and diversity of algae in the JP Lake of Jahangirnagar University campus. The research was carried out between the period of December 2021 to November 2022. A total of 72 water samples were used to carry out the investigation. Shannon and Simpson diversity indexes were used to determine the level of diversity. 234 phytoplankton species under 98 genera were found belonging to 8 classes (Cyanophyceae, Chlorophyceae, Bacillariophyceae, Synurophyceae, Euglenophyceae, Cryptophyceae, Dinophyceae, and Xanthophyceae). According to the generic percentage composition, Chlorophyceae comprised 46%, followed by Bacillariophyceae (20%) and Cyanophyceae (18%). At the species level, Euglenophyceae were found to dominate (34%) the studied sites that were followed by Chlorophyceae (31%) and Cyanophyceae (18%). The total density of phytoplankton was 387.34×105 ind/l. The highest phytoplankton density was found in April, and the lowest one was in November. Cell dispersion was below average in May for Cyanophyceae, Bacillariophyceae, Cryptophyceae, and Synurophyceae. Oscillatoria, Monoraphidium, Actinastrum, Cosmarium, Trachelomonas, and Euglena dominated the surveyed region. The Shannon Diversity Index showed a value of 1.51, while Simpson's Diversity Index showed a value of 0.28. The overall variation (80.73%) among the classes was represented by PCA cells. According to the Shannon and Simpson Diversity Indexes, the diversity was low.

An Inter District Analysis of Public Healthcare Infrastructure Disparities in Assam.

Background: Sufficient and quality healthcare services are basic requirement for overall development of a nation. Public healthcare infrastructure is one of the major determinants of health outcomes in a country, and public healthcare services have a considerable impact on people's health status. The rural population primarily relies on public healthcare services. Assam is not an exception in this regard, where the insufficiency of public healthcare services is still an issue. 86 % of the population of Assam lives in rural areas. Objectives: The present work attempts to study the inter-district variation regarding public health infrastructure in 33 districts of Assam. Methods: The Inter district variation is estimated with a composite index of public health infrastructure. Principal Component Analysis (PCA) is adopted to construct a composite index using nine health infrastructure indicators. Results: The study has observed variations in health infrastructure among the various districts of Assam, reflecting the shortage of health infrastructure-physical and human in rural and remote areas of the state. The study finds inter-district variations in the state.

Forensic Pathological Diagnosis of Acute and Old Myocardial Infarction Using Fourier Transform Infrared Spectroscopy / 法医学杂志

OBJECTIVES@#Fourier transform infrared spectroscopy (FTIR) was used to analyze myocardial infarction tissues at different stages of pathological change to achieve the forensic pathology diagnosis of acute and old myocardial infarction.@*METHODS@#FTIR spectra data of early ischemic myocardium, necrotic myocardium, and myocardial fibrous tissue in the left ventricular anterior wall of the sudden death group of atherosclerotic heart disease and the myocardium of the normal control group were collected using hematoxylin-eosin (HE) and immunohistochemistry (IHC) staining as a reference, and the data were analyzed using multivariate statistical analysis.@*RESULTS@#The mean normalized spectra of control myocardium, early ischemic myocardium and necrotic myocardium were relatively similar, but the mean second derivative spectra were significantly different. The peak intensity of secondary structure of proteins in early ischemic myocardium was significantly higher than in other types of myocardium, and the peak intensity of the α-helix in necrotic myocardium was the lowest. The peaks of amide Ⅰ and amide Ⅱ in the mean normalized spectra of myocardial fibrous tissue significantly shifted towards higher wave numbers, the peak intensities of amide Ⅱ and amide Ⅲ were higher than those of other types of myocardium, and the peak intensities at 1 338, 1 284, 1 238 and 1 204 cm-1 in the mean second derivative spectra were significantly enhanced. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) showed that FTIR could distinguish different types of myocardium.@*CONCLUSIONS@#FTIR technique has the potential to diagnose acute and old myocardial infarction, and provides a new basis for the analysis of the causes of sudden cardiac death.

Comprehensive evaluation of Pinellia ternata germplasm resources based on phenotypic trait classification / 中国中药杂志

The evaluation of germplasm resources is the prerequisite for the development, utilization, and conservation of Chinese medicinal resources. The selection of excellent germplasm is the key to the breeding and orderly production of Pinellia ternata. In this study, 21 germplasm materials of P. ternata from major production areas in China were collected and analyzed for population diversity after phenotypic preliminary screening. The results have revealed that the P. ternata population has abundant phenotypic variation, and the phenotypic changes could be divided into five phenotypes in terms of organ trait variation. Further analysis of variation in 20 quantitative traits of the population revealed that the coefficient of variation for adenosine content(339.05%) was the largest, while the coefficient of variation for the underground plant height(16.35%) was the smallest. Correlation analysis showed that there was a strong correlation among various traits, with 52 pairs of traits showing highly significant correlation(P<0.01) and 19 pairs of traits showing a significant correlation(P<0.05). The 21 germplasms in the test could be classified into three major clusters by cluster analysis, with Cluster Ⅱ having the highest number and content of nucleosides, making it suitable for the selection and breeding of P. ternata varieties with high content of nucleosides. The yield in Cluster Ⅲ was higher than that in other groups, making it suitable for the selection and breeding of P. ternata varieties with a high yield. All trait indicators could be simplified into five principal component factors through principal component analysis, and the cumulative contribution rate was up to 86.04%. Further, comprehensive analysis using membership function and stepwise regression analysis identified nine traits, such as plant height, main leaf length, and underground plant height as characteristic indicators for the comprehensive evaluation of germplasm resources of P. ternata. BX007, BX008, and BX005 were identified as germplasms with both high yield and high uridine content, with BX007 having the highest uridine content of 479.51 μg·g~(-1). It belonged to the germplasm of P. ternata with double bulbils and could be cultivated as a potential good variety. Based on the phenotypic classification of P. ternata, systematic resource evaluation was carried out in this study, which could lay a foundation for the excavation of genetic resources and the breeding of new varieties of P. ternata.

Prediction analysis of quality markers and resource evaluation of Artemisiae Argyi Folium based on chemical composition and network pharmacology / 中国中药杂志

This study is based on ultra-high-performance liquid chromatography(UPLC), gas chromatography-mass spectrometry(GC-MS), and network pharmacology methods to analyze and predict potential quality markers(Q-markers) of Artemisiae Argyi Folium. First, UPLC and GC-MS techniques were used to analyze the content of 12 non-volatile components and 8 volatile components in the leaves of 33 Artemisia argyi germplasm resources as candidate Q-markers. Subsequently, network pharmacology was employed to construct a "component-target-pathway-efficacy" network to screen out core Q-markers, and the biological activity of the markers was validated using molecular docking. Finally, cluster analysis and principal component analysis were performed on the content of Q-markers in the 33 A. argyi germplasm resources. The results showed that 18 candidate components, 60 targets, and 185 relationships were identified, which were associated with 72 pathways related to the treatment of 11 diseases and exhibited 5 other effects. Based on the combination of freedom and component specificity, six components, including eupatilin, cineole, β-caryophyllene, dinatin, jaceosidin, and caryophyllene oxide were selected as potential Q-markers for Artemisiae Argyi Folium. According to the content of these six markers, cluster analysis divided the 33 A. argyi germplasm resources into three groups, and principal component analysis identified S14 as having the highest overall quality. This study provides a reference for exploring Q-markers of Artemisiae Argyi Folium, establishing a quality evaluation system, further studying its pharmacological mechanisms, and breeding new varieties.

Examining the relationship between fast-food and sitdown restaurant consumption frequency and dietary patterns among adults in Riyadh City, Saudi Arabia

@#Introduction: This study assessed the association between dietary patterns and the frequency of eating at fast-food or sit-down restaurants. Methods: A crosssectional study, with a sample of adults living in Riyadh, Saudi Arabia (SA), was conducted between January and March 2021. An online, self-administered survey was conducted using social media and WhatsApp. A total of 399 adults living in Riyadh were included; 40.4% were males, with a mean age of 35 and standard deviation (SD) of 12 years, and had no significant health problems. Results: Using principal component analysis to analyse 15 food groups based on the food items consumed, four dietary patterns were extracted: Western, unhealthy, plant-based, and healthy. After adjusting for potential covariates, a higher frequency of eating at fast-food restaurants was significantly associated with unhealthy dietary patterns [odds ratio (OR) = 4.85, 95.0% confidence interval (CI) = 1.80, 12.59]. In contrast, participants in the highest tercile of the frequency of eating at fast-food restaurants showed lower odds of adhering to a healthy dietary pattern (OR = 0.29, 95.0% CI = 0.11, 0.71). No significant association was found between participants in the highest tercile of the frequency of eating at sit-down restaurants and their dietary patterns. Conclusion: Frequently eating at fast-food restaurants was associated with increased odds of adherence to less healthy dietary patterns and negatively associated with adherence to a healthy pattern. No association was found between sit-down restaurants and any of the identified dietary patterns. The present findings can assist stakeholders and policymakers in developing strategic plans and policies for targeted interventions for this population.

Principal component analysis of dental caries related factors among 3- to 5-year-old children in Urumqi City / 口腔疾病防治

Objective @#To explore dental caries-related factors among children aged 3-5 years in Urumqi City and to provide evidence for the etiological study and primary prevention of caries among local children. @*Methods @# A multistage stratified cluster sampling method was used to randomly select children aged 3-5 years in Urumqi City for oral examination, physical examination and questionnaire survey. Data were collected and analyzed by principal component logistic regression using SPSS 23.0 software.@*Results@#Principal component analysis showed that there were seven risk factors whose characteristic root value was greater than 1: oral hygiene habits, family education level, sugar intake, bedtime eating habits, age, gestational age, feeding mode, and cumulative contribution were 66.486% of the total variance. Principal component logistic regression analysis indicated that five factors, namely, oral hygiene habits (OR = 0.795, P = 0.044), family education level (OR = 0.667, P = 0.019), sugar intake (OR = 1.260, P = 0.006), bedtime eating habits (OR = 5.432, P<0.001) and age (OR = 0.676, P = 0.015), were closely related to early childhood caries, and they were statistically significant (P<0.05). @*Conclusion@#According to the principal component analysis, oral hygiene habits factor, family education level factor, sugar intake factor, bedtime eating habits factor and age factor were dental caries related factors among 3- to 5-year-old children in Urumqi City.

Simultaneous determination of eleven volatile components in Cinnamomi Oleum by GC-MS / 中国中药杂志

A gas chromatography-triple quadrupole mass spectrometry(GC-MS) method was established for the simultaneous determination of eleven volatile components in Cinnamomi Oleum and the chemical pattern recognition was utilized to evaluate the quality of essential oil obtained from Cinnamomi Fructus medicinal materials in various habitats. The Cinnamomi Fructus medicinal materials were treated by water distillation, analyzed using GC-MS, and detected by selective ion monitoring(SIM), and the internal standards were used for quantification. The content results of Cinnamomi Oleum from various batches were analyzed by hierarchical clustering analysis(HCA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) for the statistic analysis. Eleven components showed good linear relationships within their respective concentration ranges(R~2>0.999 7), with average recoveries of 92.41%-102.1% and RSD of 1.2%-3.2%(n=6). The samples were classified into three categories by HCA and PCA, and 2-nonanone was screened as a marker of variability between batches in combination with OPLS-DA. This method is specific, sensitive, simple, and accurate, and the screened components can be utilized as a basis for the quality control of Cinnamomi Oleum.

HPLC Fingerprint Analysis of Benchmark Sample of Yanghetang / 中国实验方剂学杂志

ObjectiveTo establish a high performance liquid chromatography（HPLC） fingerprint of Yanghetang benchmark sample， and evaluate its quality with chemometric methods， so as to provide a reference for the quality control of this benchmark sample. MethodHPLC was used to establish the fingerprint of Yanghetang benchmark sample with ZORBAX SB-C18 column（4.6 mm×250 mm， 5 μm）， the mobile phase was consisted of acetonitrile（A） -0.05% phosphoric acid aqueous solution （containing 0.05% triethylamine solution）（B） for gradient elution（0-5 min， 2%-3%A； 5-15 min， 3%-5%A； 15-65 min， 5%-30%A； 65-90 min， 30%-70%A）， the flow rate was 1.0 mL·min-1， the column temperature was 35 ℃， and the detection wavelength was 210， 260 nm. Traditional Chinese Medicine（TCM） Chromatographic Fingerprint Similarity Evaluation System （2012 edition） combined with cluster analysis， principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to evaluate the quality differences between different batches of Yanghetang benchmark samples， and to find the main chemical components responsible for the quality differences. ResultHPLC fingerprint of Yanghetang benchmark sample was established， 13 common peaks were identified and attributed to each common peak， including peaks 2 and 8 from Rehmanniae Radix Praeparata， peaks 10 and 11 from Cinnamomi Cortex， peaks 1， 3-6 from fried Sinapis Semen， peak 13 from Ephedrae Herba， and peaks 7， 9， 12 from Glycyrrhizae Radix et Rhizoma. Eight of them were identified by comparing with control substance， which were 5-hydroxymethylfurfural（peak 2）， sinapine thiocyanate（peak 4）， glycyrrhizin（peak 7）， verbascoside（peak 8）， cinnamic acid（peak 10）， cinnamaldehyde（peak 11）， glycyrrhizic acid（peak 12） and ephedrine hydrochloride（peak 13）. The similarities of the HPLC fingerprints of 15 batches of Yanghetang benchmark samples with the control fingerprint were all greater than 0.80. The three chemometric methods could classify the samples into two categories. Eight differential components were screened out， among which 5-hydroxymethylfurfural， sinapine thiocyanate， verbascoside and ephedrine hydrochloride were identified. ConclusionThe established fingerprint analysis method is accurate， stable and reproducible， which basically reflects the overall chemical composition of Yanghetang benchmark sample， and can provide a basis for establishment of quality standards for compound preparations of this famous classical formula.

Qualitative evaluation of Bupleuri Radix in different areas by UPLC fingerprint combined with Principle Component Analysis / 国际中医中药杂志

Objective:To establish the fingerprint of Bupleuri Radix with Ultra High Performance Liquid Chromatography (UPLC) method and combining Principal Component Analysis to evaluate the quality of Bupleuri Radix in different areas. Methods:Acquity UPLC BEH-C 18 (2.1 mm×100 mm, 1.7 μm) column was used with acetonitrile (A)-water (B) solution, gradient elution. The column temperature was 30 ℃, the flow rate was 0.3 ml/min, and the detection wavelength was 200 nm, injection volume 5 μl. Results:There were 7 common peaks in the UPLC fingerprints of 10 batches of medicinal materials, and the similarity was 0.940-0.975. Through the principal component analysis, the cumulative contribution rate of three main component factors was 90.977%,and comprehensive score of S5 (Hubei) was the highest with the best quality.Conclusions:There are certain quality differences of different areas in Bupleuri Radix. Through the combination of fingerprint and principal component analysis, it can provide reference for quality control, development and application of Bupleuri Radix.

Determination of chemical component and quality control evaluation of Paeoniae Radix Alba / 国际中医中药杂志

Objective:To establish a method for the determination of four effective components in Paeoniae Radix Alba and evaluate its quality of Paeoniae Radix Alba by principal component analysis. Methods:The effective components of Paeoniae Radix Alba were extracted by ultrasonic extraction method with ethanol. Wondasil WR C18 chromatographic column (250 mm×4.6 mm,5 μm) was used, and the mobile phase was acetonitrile-water, the flow rate was set at 1 ml/min, the column temperature was set at 30 ℃, and the total operation time was 65 min. The mass score of active components was imported into SPSS for principal component analysis. Results:The linear ranges of Paeoniflorin, Paeoniflorin, Benzoyl Paeoniflorin and Pallyl Paeoniflorin were 0.020 1-3.820 0 μg ( r2=0.999 4), 0.015 9-2.850 0 μg ( r2=0.999 2), 0.008 2- 1.820 0 μg ( r2=0.999 1), 0.003 2-0.970 0 μg ( r2=0.999 5). The quality of the 10 batches of Paeoniae Radix Alba samples from Anhui province was the best, while that from Sichuan province was the worst. Conclusions:HPLC method was established for the determination of four effective components in Paeoniae Radix Alba, and principal component analysis and evaluation of 10 batches of Paeoniae Radix Alba. Bozhou, Anhui Province, was identified as the main production area of Paeoniae Radix Alba, which can provide reference for the quality control and preparation production of Paeoniae Radix Alba.

Comparison of Effect of Ancient and Modern Processing Methods on Chemical Components of Lilii Bulbus Decoction Based on UHPLC-Q-Orbitrap HRMS / 中国实验方剂学杂志

ObjectiveTo compare the effects of different processing methods in ancient and modern times on the chemical components of Lilii Bulbus decoction， and to provide experimental support for the origin processing， decoction piece processing and clinical application of this herb. MethodUltra high performance liquid chromatography tandem quadrupole electrostatic field orbitrap high resolution mass spectrometry（UHPLC-Q-Orbitrap HRMS） was used for structural identification of the compounds using excimer ions， secondary MS and characteristic fragment ions， and referring to relevant literature and database information. Principal component analysis（PCA） and orthogonal partial least squares discriminant analysis（OPLS-DA） were used to screen the main differential components， the differential components were quantitatively studied by high performance liquid chromatography（HPLC）， in order to compare the types and contents of chemical components in the decoction of different processing products of Lilii Bulbus. ResultA total of 24 chemical components were identified from the decoction of different processed products of Lilii Bulbus， water extract and scalding liquid of fresh Lilii Bulbus， including 17 phenols， 5 saponins and 2 alkaloids. Compared with the fresh Lilii Bulbus decoction， the contents of regaloside A， p-coumaric acid， colchicine and other components in the decoction of dry Lilii Bulbus processed by scalding method decreased， the content of regaloside C in the decoction of dry Lilii Bulbus processed by steaming method decreased， and the contents of regaloside A and regaloside C in the decoction of fresh Lilii Bulbus processed by water immersion also decreased. Compared with the decoction of dry Lilii Bulbus processed by scalding method， the overall content of components in the fresh Lilii Bulbus decoction and the decoction of fresh Lilii Bulbus processed by water immersion was higher， the contents of components in the decoction of dry Lilii Bulbus processed by steaming method was higher， except for the slightly lower content of regaloside C. ConclusionDifferent processing processes have a certain effect on the types and contents of chemical components in Lilii Bulbus decoction. Scalding process is beneficial to the preservation of Lilii Bulbus， but can cause the loss of effective components. Compared with scalding method， steaming method can prevent browning of Lilii Bulbus and reduce the loss of its active ingredients. The processing method of removing foam after overnight immersion proposed by ZHANG Zhongjing may be more conducive to the treatment of Baihe disease， which can provide reference for the clinical rational application and mechanism research of different processed products of Lilii Bulbus.

Research on monitoring method of dripping pills dripping process based on laser detection and multivariate data analysis technology / 药学学报

At present, the digitalization and intelligence level of dripping pills production process is low, and there is a lack of process monitoring methods, which makes it difficult to effectively control the quality of dripping pills. Therefore, this paper proposed an online monitoring method for the dripping process of dripping pills based on laser detection technology and multivariate data analysis (MVDA) technology. Firstly, the width data of the falling droplets during the dripping process of the dripping pills were collected by the laser detector at a high frequency. Secondly, based on the width data, the nodes were selected for each droplet and the features were extracted. Then, the principal component analysis (PCA) model was established based on the feature dataset under normal process conditions, and Hotelling's T2 or DModX statistic was selected to determine whether the droplets in the dripping process were abnormal, and the abnormalities were classified and diagnosed by the principal component score map combined with K-nearest neighbor (KNN) algorithm. In this study, the feasibility of this method was investigated by taking the dripping process of Ginkgo biloba leaf dripping pills as an example. The results showed that the obtained model has good detection and diagnosis ability for abnormal valve opening, abnormal liquid temperature, and abnormal liquid volume. This method can provide some reference for the industrial production of dripping pills.

Association between dietary patterns during pregnancy and gestational diabetes mellitus / 预防医学

Objective @#To examine the association between dietary patterns during pregnancy and gestational diabetes mellitus (GDM), so as to provide the evidence for guiding the establishment of healthy and balanced dietary patterns and reducing the prevalence of GDM.@*Methods@#Pregnant women who underwent oral glucose tolerance tests in Hangzhou Obstetrics and Gynecological Hospital from 2020 to 2021 were enrolled, and their demographic information were collected using questionnaires. Pregnant women's diets during the past three months were collected using Food Frequency Questionnaires (FFQs), and dietary patterns were extracted using principal component analysis. In addition, the association between dietary patterns and risk of GDM was examined using a multivariable logistic regression model.@*Results@# A total of 1 689 pregnant women were included, with a median age of 28.53 (interquartile range, 2.47) years and a median gestational age of 26.00 (interquartile range, 2.00) weeks. Five dietary patterns were identified according to pregnant women's types of diets, including meat-based diets, dessert-fruit-refined grain diets, plant-based diets, eggs-milk-nut diets and whole-grain diets, with a cumulative contribution rate of 58.76%. The prevalence of GDM was 24.57% (415 cases) among the study subjects. Multivariable logistic regression analysis showed that pregnant women with scores in the highest quartile (Q4) of the meat-based diets had an increased risk of GDM (OR=1.372, 95%CI: 1.043-2.055) relative to those with scores in the lowest quartile (Q1), and pregnant women with Q4 scores of the dessert-fruit-refined grain diets had an increased risk of GDM (OR=1.743, 95%CI: 1.397-2.432) relative to those with Q1 scores, while pregnant women with Q4 scores of the plant-based diets had a reduced risk of GDM (OR=0.382, 95%CI: 0.346-0.613) relative to those with Q1 scores.@*Conclusion@#A plant-based dietary pattern may reduce the risk of GDM, while meat-based and dessert-fruit-refined grain dietary patterns may increase the risk of GDM.

Quality Evaluation of Aurantii Fructus from Sichuan by Specific Chromatogram Combined with Chemometrics and Grey Correlation Analysis / 中国实验方剂学杂志

ObjectiveHigh performance liquid chromatography （HPLC） was used to establish the specific chromatograms of Aurantii Fructus from different origins， and the quality variability of Aurantii Fructus from Sichuan was analyzed and evaluated by combining entropy weighting method and grey correlation method. MethodHPLC was performed on an Agilent Eclipse Plus C18 column （4.6 mm×250 mm， 5 μm） with a gradient elution of methanol （A）-0.1% phosphoric acid aqueous solution as the mobile phase （0-12 min， 25%-33%A； 12-21 min， 33%-41%A； 21-30 min， 41%-42%A； 30-40 min， 42%-59%A； 40-53 min， 59%-72%A； 53-60 min， 72%A； 60-65 min， 72%-100%A； 65-70 min， 100%A； 70~71 min， 100%-25%A； 71-80 min， 25% A） at a flow rate of 1.0 mL·min-1， the injection volume was 10 μL and the detection wavelength was 330 nm. Fifty batches of Aurantii Fructus samples from different origins （Sichuan， Chongqing， Jiangxi and Hunan） were tested， and the similarity evaluation software is used to generate characteristic profiles and compare them with control profile for peak identification， and then to evaluate the similarity of the samples. IBM SPSS 19.0 and SIMCA 14.1 were used to perform multivariate statistical analysis on the results of the samples， and then the entropy weighting method and grey correlation were used to calculate the overall quality score of samples from Sichuan. ResultHPLC specific chromatogram of Aurantii Fructus was established， and 14 common peaks were identified as eriocitrin， neoeriocitrin， narirutin， naringin， hesperidin， neohesperidin， meranzin hydrate， poncirin， meranzin， marmin， nobiletin， 3，3′，4′，5，6，7，8-heptamethoxyflavone， tangeretin and auraptene. And the similarities between the samples from Sichuan and the control chromatogram were all above 0.980. The samples could be classified into four categories according to their main origins by chemical pattern recognition， and the results of cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were all able to discriminate the samples of different main origins effectively. The comprehensive evaluation results of entropy weighting method combined with grey correlation showed that the quality of Aurantii Fructus from Sichuan varied greatly among different origins， and the quality of Aurantii Fructus from Sichuan was ranked as Bazhong>Luzhou>Chongqing>Neijiang. ConclusionIn this study， the characteristic mapping of Aurantii Fructus from Sichuan is established， and combined with the analytical methods of chemometrics and grey correlation， the quality of samples from different origins can be effectively differentiated， which can provide a reference for the comprehensive evaluation and control of the quality of Aurantii Fructus from Sichuan.