Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

To address the issue of reduced signal quality of photoplethysmography caused by local fluctuation,an approach called locally orthogonal weighted polynomial fitting(LOWPF)is proposed for signal smoothing.After determining the positions of the fluctuation sequences using the forward-backward difference XOR method,weighted polynomial fitting is applied to these sequences,and the fitted values are used to replace the fluctuation sequences to achieve signal smoothing.By constructing orthogonal basis functions,the condition number of the coefficient matrix is reduced,and the stability of the equation system solution for higher-order fitting is improved.Simulation results demonstrate that the smoothed signal's XOR smoothness of the proposed method surpasses that of the moving average algorithm and the empirical mode decomposition reconstruction algorithm.The smoothing results on 241 sets of measured PPG signals show that LOWPF achieves an efficiency of smoothness of 89.10%,significantly higher than the 78.05%of empirical mode decomposition and the 59.13%of the 5-point moving average algorithm.LOWPF has promising application prospects for smoothing signals with significant local fluctuations.

The concepts of manifestation-root cause,Yin-Yang balance,reinforcing-reducing for deficiency and excess should not only be focused on the traditional Chinese medicine formulations,but also be consistently applied in clinical practice of acupuncture treatment.The"Tongdu Qishen"acupuncture method,developed by Professor Li Zhigang based on years of experience in treating psychosis,demonstrates unique advantages in treating stroke sequela hemiplegia.From the three aspects of theoretical basis,classic medical records,acupoint selection and operation analysis,this study introduces the clinical application of"Tongdu Qishen"combined with manifestation-root cause Yin-Yang and reinforcing-reducing balance acupuncture in the treatment of stroke sequela hemiplegia,offering new insights and strategies for exploring effective clinical treatment with syndrome differentiation.

BACKGROUND:Patch clamp technique has been developed for more than 40 years as the"gold standard"for the study of ion channels.However,the research content of scientific research institutions is relatively independent,and the existing research results are not systematically summarized,which leads to the phenomenon of high repeatability and weak innovation in the existing research.Therefore,it is urgent to make a comprehensive review of patch clamp technology to clarify the current research status,hot spots,and future development direction.OBJECTIVE:To summarize the research status and development trend of patch clamp technique in recent 10 years.METHODS:Publications on patch clamp technology from 2013 to 2023 were collected using the Web of Science core collection database.CiteSpace and VOSviewer software were used to quantify the number of publications and analyze the network of literature entries,including countries,institutions,journals,authors,keywords,highly cited literature,and co-cited references.RESULTS AND CONCLUSION:(1)In recent 10 years,the research in the field of patch clamp technology has gradually entered a stage of stable development.(2)China and the United States are the leading countries in this regard.The Chinese Academy of Sciences is an institution with core influence.Journal of Neuroscience is the main publication.Park,Won Sun team(Jeonbuk National University)and Chu,Li team(Hebei Key Laboratory of Chinese Medicine Research on Cardio-Cerebrovascular Disease)have made outstanding contributions in this field,but there is less collaboration and communication between the teams and no network cooperation model has been formed.(3)Patch clamp technology is mainly used in the electrophysiological characteristics of the nervous system and the pathological mechanism of the disease,which is the focus of researchers'continuous attention.(4)In the study of electrophysiological characteristics of cardiovascular system and its pathological mechanism,the electrophysiological characteristics of primary cardiomyocytes and induced pluripotent stem cell-derived cardiomyocytes and the pathological mechanism of atrial fibrillation,cardiotoxicity,sudden cardiac death,hypertension and other cardiovascular diseases have been the focus of research in recent years.(5)In the application of patch clamp technology combined with other biotechnology,it will be an important research direction to focus on the cross fusion with optogenetics,two-photon calcium imaging and other technologies.(6)In the research of drug screening and identification of therapeutic targets,especially the research of patch clamp technology and traditional Chinese medicine compound,it will become a great help in the future research of component traditional Chinese medicine.

Objective In this paper,CiteSpace(V6.3.R1)was used to sort out and summarize the experimental study on the mechanism and development trend of acupuncture intervention in Alzheimer's disease(AD),so as to provide basis and suggestions for subsequent research.Methods Relevant literatures on the mechanism of acupuncture intervention in AD were retrieved from CNKI database from March 1997 to March 2024.CiteSpace(V6.3.R1)software was used to visually display keywords,draw corresponding maps,and discuss the hot spots of acupuncture intervention mechanism in AD.Results After screening,a total of 397 articles were included in this study.The mechanism of acupuncture intervention in AD mainly focuses on the regulation of synaptic plasticity,regulation of neurotransmitter release,regulation of neuroinflammation,regulation of apoptosis,influence on mitochondrial autophagy,anti-oxidative stress and so on.Conclusion Acupuncture intervention in AD has developed rapidly,involving Notch1/Hes signaling pathway,Shh signaling pathway,NF-κB signaling pathway,PI3K/Akt signaling pathway and other signaling pathways.The research heat of TCM acupuncture intervention in AD continues to rise,and various research teams have harvested rich research results,diversified research hotspots,and in-depth exploration of acupuncture treatment of AD has rich clinical value.

Objective This study aims to investigate the effects of acupuncture on the spatial learning and memory capacities,the morphological characteristics of hippocampal neurons,the components of extracellular matrix,as well as the structure of the blood-brain barrier in SAMP8 mice.Moreover,it endeavors to explore the underlying mechanism through which the"Tongdu Qishen"(activating governor vessel and awakening spirit)acupuncture method ameliorates the cognitive function and modulates cerebral blood flow in SAMP8 mice.Methods Twenty 6-month-old male SAMP8 mice were randomly allocated into a model group and an electroacupuncture group,with ten mice in each group.Additionally,ten homologous 6-month-old male SAMR1 mice were designated as the normal control group.In the electroacupuncture group,the acupoint"Renzhong"(GV 26)was punctured using a quick insertion technique,while"Baihui"(GV 20)and"Yintang"(EX-HN 3)were punctured via a transverse insertion method.Subsequently,the needle handles were connected to an electroacupuncture apparatus,which was set to operate with a dense-sparse wave at a frequency of 100 Hz/2 Hz and an electric current of 2 mA.Each session of acupuncture lasted for 20 minutes and was conducted once a day for a consecutive period of 28 days.The normal group,the model group,and the electroacupuncture group all underwent identical fixation and restraint procedures to ensure consistent experimental conditions.The Morris water maze was employed to evaluate the spatial learning and memory abilities of the mice.The Nissl staining technique was utilized to assess the alterations in hippocampal neurons of SAMP8 mice.The laser speckle imaging system was adopted to measure the cerebral blood flow of the mice in each group.Transmission electron microscopy was applied to observe the ultrastructure of the blood-brain barrier within the frontal cortex tissue of the SAMP8 mice's brains.The Western blotting method was used to detect the expressions of Collagen-Ⅳ and Fibronectin in the brain tissues of SAMP8 mice.Results In comparison with the model group,the"Tongdu Qishen"acupuncture method demonstrated a significant efficacy in improving the spatial learning and memory abilities of SAMP8 mice(P<0.05).It also effectively alleviated the degeneration of hippocampal neurons,remarkably increased the cerebral blood flow perfusion volume of SAMP8 mice(P<0.05),ameliorated the damage to the blood-brain barrier structure,significantly upregulated the content of Collagen-Ⅳ(P<0.05),and significantly downregulated the content of Fibronectin(P<0.0001).Conclusion The"Tongdu Qishen"acupuncture method is capable of favorably regulating the extracellular matrix of SAMP8 mice,thereby improving cerebral blood flow and ultimately enhancing their learning and memory abilities.

To address the issue of reduced signal quality of photoplethysmography caused by local fluctuation,an approach called locally orthogonal weighted polynomial fitting(LOWPF)is proposed for signal smoothing.After determining the positions of the fluctuation sequences using the forward-backward difference XOR method,weighted polynomial fitting is applied to these sequences,and the fitted values are used to replace the fluctuation sequences to achieve signal smoothing.By constructing orthogonal basis functions,the condition number of the coefficient matrix is reduced,and the stability of the equation system solution for higher-order fitting is improved.Simulation results demonstrate that the smoothed signal's XOR smoothness of the proposed method surpasses that of the moving average algorithm and the empirical mode decomposition reconstruction algorithm.The smoothing results on 241 sets of measured PPG signals show that LOWPF achieves an efficiency of smoothness of 89.10%,significantly higher than the 78.05%of empirical mode decomposition and the 59.13%of the 5-point moving average algorithm.LOWPF has promising application prospects for smoothing signals with significant local fluctuations.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.