Article
Biochemistry & Molecular Biology
Alessandro de Souza Prestes, Joao Luis Souza Vargas, Matheus Mulling dos Santos, Gabriel Toneto Druzian, Joao Teixeira da Rocha, Michael Aschner, Nilda Vargas Barbosa
Summary: This study investigated the effects of MeHg and EtHg exposure on human peripheral blood mononuclear cells (PBMCs) and found that EtHg was more toxic to the cells. EtHg exposure resulted in decreased viability, increased granularity, increased apoptosis indexes, and alterations in cell cycle phases. It also caused mitochondrial dysfunction. In contrast, MeHg exposure only decreased cell viability.
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
(2023)
Article
Computer Science, Information Systems
Naveed Khan, Sally McClean, Shuai Zhang, Chris Nugent
Summary: The monitoring of human activities using body worn sensors is a vital area of research in machine learning. These sensors capture a large amount of data in an unobtrusive manner. Change point detection can be used to classify different user activities. The use of cloud and edge computing platforms can enhance the efficiency of the change detection process.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2023)
Article
Materials Science, Characterization & Testing
Yijun Guo, Takuma Tomizawa, Fanwei Yu, Noritaka Yusa, Hidetoshi Hashizume
Summary: A three-dimensional probability of detection (POD) model integrating the depth, circumferential angle, and location of pipe wall thinning (PWT) was proposed for the probabilistic analysis of long-range pipe inspection using microwaves. The model showed that the signal response was proportional to the natural logarithm of the PWT depth and circumferential angle, and decreased exponentially with the PWT location. A multivariate regression model was established to calculate the POD, which suggested that microwaves can reliably detect small PWT at far distances. The proposed model emphasized the importance of the circumferential angle in the POD, compared to the traditional two-dimensional model.
NDT & E INTERNATIONAL
(2022)
Article
Mathematics
Hamed Sabahno, Seyed Taghi Akhavan Niaki
Summary: Simultaneous monitoring of process parameters in a multivariate normal process has been the focus of researchers in the past two decades. However, only statistical control charts have been developed for this purpose, with machine-learning techniques rarely being used. This paper proposes three machine-learning control charts using artificial neural networks, support vector machines, and random forests techniques. The results show that the proposed machine-learning control charts outperform traditional statistical control charts in most cases. The paper also presents an illustrative example of implementing the proposed scheme in a healthcare process.
Article
Engineering, Mechanical
Joao Paulo S. Goncalves, Fabiano Fruett, Jose G. Dalfre Filho, Mateus Giesbrecht
Summary: One of the traditional approaches for vibration-based fault diagnosis in mechanical systems is frequency spectrum analysis, which compares different fault patterns in the spectrum to that of a healthy condition. An alternative method to avoid spectrum calculation is to use directly extracted features.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Computer Science, Artificial Intelligence
Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov
Summary: Accurate and consistent anomaly detection in time series is crucial in various fields. The AURORA framework proposed in this study shows significant advantages over existing models, including high accuracy, interpretability, and speed. It is capable of detecting both point and contextual anomalies efficiently.
DATA MINING AND KNOWLEDGE DISCOVERY
(2021)
Article
Computer Science, Artificial Intelligence
Zhiqiang Guo, Lina Xu, Nona Ali Asgharzadeholiaee
Summary: This paper proposes a breast cancer detection method based on Multi-Layer Perceptron neural network. Ensemble learning is used to improve the classification process, and optimization algorithms are employed to determine the most suitable parameters. Experiments show that the proposed method achieves high accuracy in breast cancer detection.
APPLIED ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Song Deng, Xinya Yuan, Qianliang Li, Jie Zhang, Mengfei Sun, Xiong Fu, Lechan Yang
Summary: The open, interconnected, and shared operational characteristics of the energy Internet introduce more sophisticated cybersecurity attacks. Accurately detecting these cyber attacks is crucial for energy Internet security protection. This study utilizes gene expression programming (GEP) to optimize the parameters of convolutional neural networks (CNN) and proposes an intrusion detection algorithm based on GEP-CNN (GCNN-IDS). The experimental results demonstrate the high detection accuracy and performance of the optimized CNN-based intrusion detection algorithm.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
G. Nagarajan, P. J. Sajith
Summary: The usage of internet is increasing in all aspects, with the rise of internet-connected models and 24/7 digital media. Alongside this trend, concerns about data security are also increasing, and everyone's information needs to be protected. To detect attacks, intrusion detection systems (IDS) are used. However, traditional IDSs raise further security concerns, hence the adoption of deep learning to enhance the integration process.
Article
Instruments & Instrumentation
Xiangyang Ren, Caitong Yue, Tianlei Ma, Jie Wang, Jiaqi Wang, Yan Wu, Zhengkui Weng
Summary: The A3DIE method uses a multi-objective particle swarm optimization algorithm to optimize parameters for small target detection, enhancing adaptability; it employs an adaptive environment selection strategy and knee point selection strategy to obtain high-quality solutions, achieving optimized detection results.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Zeinab Khalili, Azizollah Nezhadali
Summary: A sensitive electrochemical sensor based on MIP was developed to measure LNS, chosen the most suitable monomer by a computational method, synthesized the sensor by electro-polymerization using cyclic voltammetry, characterized by scanning electron microscopy, optimized critical factors using design methods, obtained a linear range of 10-1000 mu M with a correlation coefficient of 0.9846, and successfully applied to LNS determination.
Article
Biology
Jiao Hu, Zhengyuan Han, Ali Asghar Heidari, Yeqi Shou, Hua Ye, Liangxing Wang, Xiaoying Huang, Huiling Chen, Yanfan Chen, Peiliang Wu
Summary: This study proposes a method for early and accurate assessment of COVID-19 severity by collecting arterial blood samples from patients and using an improved binary Harris hawk optimization algorithm combined with a kernel extreme learning machine. The experimental results show that indicators such as age, partial pressure of oxygen, oxygen saturation, sodium ion concentration, and lactic acid play a crucial role in the assessment of COVID-19 severity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Information Systems
Lingru Cai, Yao Li, Zhi Xiong
Summary: This paper proposes a novel Android malware detection scheme based on feature weighting with the joint optimization of weight-mapping and classifier parameters, making the weight-aware classifiers more competitive.
COMPUTERS & SECURITY
(2021)
Article
Energy & Fuels
A. Naresh Kumar, B. Ashok, K. Nanthagopal, H. C. Ong, M. J. Geca, John Victor, R. Vignesh, A. K. Jeevanantham, C. Kannan, P. S. Kishore
Summary: The present work focuses on enhancing the viability of palm biodiesel for CI engine applications by using the reformulation strategy of adding higher alcohols. The experimental results show that the addition of higher alcohols improves the engine's efficiency and reduces fuel consumption. It also has a positive impact on exhaust emissions, particularly in reducing NOx emissions.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Computer Science, Artificial Intelligence
Dhruba Jyoti Kalita, Vibhav Prakash Singh, Vinay Kumar
Summary: Building an Intrusion Detection System (IDS) in a non-stationary environment is challenging due to the constantly growing intrusion-related data. This paper proposes a novel framework that employs Moth-Flame Optimization as the base optimization algorithm to dynamically optimize the hyper-parameters of a Support Vector Machine (SVM) for intrusion detection. The framework utilizes the knowledge generated from running the base optimization algorithm and achieves significantly improved time complexity and detection performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Environmental Sciences
Jose Marrugo-Negrete, Jose Pinedo-Hernandez, Siday Marrugo-Madrid, Sergi Diez
Summary: The study revealed severe trace element pollution in the San Jorge River in Colombia, with high ecological risks associated with mining activities. Various pollution indices indicated environmental deterioration and adverse biological effects caused by copper, lead, nickel, zinc, and mercury contamination from mining activities. Multiyear discharges of hazardous chemicals have led to high pollution levels for copper, lead, and cadmium in the river.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Environmental
Harry Gutierrez-Mosquera, Jose Marrugo-Negrete, Sergi Diez, Gladis Morales-Mira, Luis Javier Montoya-Jaramillo, M. P. Jonathan
Summary: The study assessed total mercury (THg), methylmercury (MeHg) levels in various environmental compartments in abandoned gold mining ponds (AGMPs) and mining areas in Western Colombia to evaluate the present environmental conditions and human health risks. The findings indicate potential chronic effects due to elevated THg levels, particularly in fish, posing a threat to human health. Monitoring of mercury species in different compartments is recommended to mitigate environmental hazards in the region.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Environmental Sciences
Clelia Calao-Ramos, Andrea G. Bravo, Roberth Paternina-Uribe, Jose Marrugo-Negrete, Sergi Diez
Summary: The study assessed mercury exposure in gold miners in Colombia, finding that burning mercury and fish consumption were significant predictors of mercury exposure. Some miners had mercury concentrations above safe levels set by health organizations, indicating the need for health education programs in certain regions.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Environmental Sciences
Carlos Salazar-Camacho, Manuel Salas-Moreno, Roberth Paternina-Uribe, Jose Marrugo-Negrete, Sergi Diez
Summary: The study revealed that gold mining activities in the Atrato River basin have deteriorated the quality of fish species, resulting in high levels of mercury pollution. The contamination was found to be distributed from high mining activity zones to low activity areas, affecting both the environment and the inhabitants in the region.
Article
Environmental Sciences
Siday Marrugo-Madrid, Manuel Salas-Moreno, Harry Gutierrez-Mosquera, Carlos Salazar-Camacho, Jose Marrugo-Negrete, Sergi Diez
Summary: To fulfill the requirements of the Minamata Convention on Mercury, it is important to monitor mercury contamination in freshwater ecosystems near artisanal and small scale gold mining (ASGM) areas. This study examined the feasibility of using the diffusive gradient in thin-films (DGT) technique to detect and quantify labile mercury and other metals in a hard-to-reach gold mining district in Colombia. The results showed that the labile mercury concentrations were higher in abandoned mining ponds compared to the river water, and the labile concentrations of other metals were related to their proximity to ASGM activities.
ENVIRONMENTAL RESEARCH
(2022)
Review
Environmental Sciences
Leonomir Cordoba-Tovar, Jose Marrugo-Negrete, Pablo Ramos Baron, Sergi Diez
Summary: Biomagnification of trace elements is increasingly evident in aquatic ecosystems, with mercury, arsenic, and selenium exhibiting different potential for biomagnification. The process is influenced by environmental and ecological factors, and involves key organisms.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Siday Marrugo-Madrid, Jose Pinedo-Hernandez, Roberth Paternina-Uribe, Jose Marrugo-Negrete, Sergi Diez
Summary: This study evaluated the risk to human health from consuming fruits, tubers, and fish contaminated with mercury and arsenic in a Colombian area affected by gold mining activities. The results showed that children and women of childbearing age had higher levels of methylmercury intake than the recommended safety limits. The intake of arsenic and mercury exceeded the safety levels for most population groups. There was also a potential risk of carcinogenicity from arsenic intake through food. Therefore, safety control mechanisms and environmental education strategies are crucial to protect the health of residents in areas impacted by gold mining activities.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Carlos Salazar-Camacho, Manuel Salas-Moreno, Siday Marrugo-Madrid, Roberth Paternina-Uribe, Jose Marrugo-Negrete, Sergi Diez
Summary: The Atrato River basin in Colombia, known for its high biodiversity, is heavily impacted by gold mining, resulting in potential human health risks from mercury and arsenic in fish. This study assessed the distribution of heavy metals in fish species and the associated health risks for inhabitants along the river basin. The results revealed high concentrations of mercury and arsenic in fish, posing potential risks to human health. Carnivorous fish species were found to have the greatest impact on inhabitants' health, with some areas exceeding the safe intake thresholds for mercury.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Cesar Argumedos De la Ossa, Andres Fernando Ramirez-Giraldo, Katy Arroyo-Alvis, Jose Marrugo-Negrete, Sergi Diez
Summary: The present study aimed to investigate the relationship between neuropsychological performance and exposure to mercury and arsenic in Colombian children and adolescents. The findings showed that a majority of the participants had mercury and arsenic levels above the reference values, and there were significant correlations between exposure levels and certain neuropsychological test performances.
ENVIRONMENTAL RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Siday Marrugo-Madrid, Claudia Fontas, Gulsah Kurt, Carlos Salazar-Camacho, Manuel Salas-Moreno, Harry Gutierrez-Mosquera, Jose Marrugo-Negrete, Sergi Diez
Summary: In this study, a benzoylthiourea-based diffusive gradient in thin film (DGT) technique was developed for determining bioavailable mercury. The DGT-BTP1 gel showed stable binding capacity and satisfactory extraction performance compared to the well-established DGT-3MFS gel. Field measurements in Quito River demonstrated the effectiveness of DGT-BTP1 in monitoring mercury concentration.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Environmental Sciences
Gerlane de Medeiros Costa, Wilkinson Lopes Lazaro, Thaysa Costa Hurtado, Paulo Eduardo Teodoro, Jean Remy Davee Guimaraes, Aurea Regina Alves Ignacio, Manoel dos Santos Filho, Sergi Diez
Summary: There is still debate about the most suitable tissue to indicate mercury body burden in birds, with blood, feathers, and bill sheath being considered relevant. Feathers and bill sheath had higher mercury concentrations compared to claws, liver, and muscle. Ringed kingfishers had higher mercury values than Amazon kingfishers, and Amazon kingfishers from different rivers showed differences in mercury concentrations in claws and feathers.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Angel Cruz-Esquivel, Sergi Diez, Jose Luis Marrugo-Negrete
Summary: The study aimed to investigate the concentrations of total mercury (THg), methylmercury (MeHg), and arsenic (As), as well as their genotoxic effects on fish species in freshwater habitats impacted by gold mining activities in Northern Colombia. The results showed significant genetic damage in the exposed groups compared to the control group, as indicated by the micronucleus (MN) and erythrocytic nuclear alterations (ENA) tests. The concentrations of THg, MeHg, and As in tissue samples were also significantly higher in the exposed groups, with the Bajo Cauca region posing the highest risk.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Environmental Sciences
Leonomir Cordoba-Tovar, Jose Marrugo-Negrete, Pablo Andres Ramos Baron, Clelia Rosa Calao-Ramos, Sergi Diez
Summary: In this study, concentrations of mercury, methylmercury, and arsenic in the Atrato River were measured, and nuclear degenerations in the fish from the river were explored for the first time. The results showed that mercury and methylmercury concentrations in fish exceeded the WHO limit for populations at risk, while arsenic concentrations were below the international standard. Mercury concentrations in water exceeded the USEPA threshold, whereas arsenic concentrations were below the threshold. The study suggests that the Atrato River basin needs to be monitored and restored according to the Minamata Convention on Mercury.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Leonomir Cordoba-Tovar, Jose Marrugo-Negrete, Pablo Andres Ramos Baron, Sergi Diez
Summary: The Atrato River basin, an important tropical biome, has suffered severe ecological deterioration due to gold mining, posing threats to wildlife and human health. This study measured the concentrations of mercury and arsenic in sediments and assessed the associated ecological and human health risks. The results showed moderate contamination levels of mercury and increasing contamination of arsenic, indicating potential toxic risks to aquatic biota and adverse effects on human populations, particularly children.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Laura Suarez-Criado, Pablo Rodriguez-Gonzalez, Jose Marrugo-Negrete, J. Ignacio Garcia Alonso, Sergi Diez
Summary: To distinguish between routes of mercury exposure in artisanal and small-scale gold mining (ASGM) communities and identify contamination sources, the study analyzed Hg species composition in human hair samples from six major gold mining regions in Colombia. The results showed that the median concentration of total mercury (THg) was higher than the reference dose recommended by the EPA, and a significant difference was observed among different fish consumption groups. The study also found that individuals involved in ASGM tasks had a higher Hg(II)/THg ratio compared to those not involved, suggesting that Hg(II) determination could be a useful indicator for evaluating direct exposure to mercury vapors.
ENVIRONMENTAL RESEARCH
(2023)
Correction
Biochemical Research Methods
Yong Wang, Suhua Yu, Rui Li, Jing Wan, Yuheng Wang, Zongli Huo, Chunyong Wu, Li Mi, Songqin Liu
JOURNAL OF CHROMATOGRAPHY A
(2024)
Review
Biochemical Research Methods
Israel D. Souza, Maria Eugenia C. Queiroz
Summary: Organic-silica hybrid monolithic materials have gained significant attention in separation science and sample preparation due to their unique properties. This review summarizes the characteristics, current status, and recent developments of these materials, as well as discusses synthesis methods, characterization techniques, and strategies for improving extraction efficiency in various applications.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Bhagwat Upreti, Bhanu Prasad Vempatapu, Jagdish Kumar, Pankaj K. Kanaujia
Summary: Lubricating oils are essential for the effective performance of internal combustion engines. This study presents a new HPLC method for determining additives in finished lubricating oils and polar substances in used engine oils.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zongqing Huang, Haoju Hua, Xiuzhen Du, Zipeng Zhen, Wei Zhao, Jun Feng, Ji-an Li
Summary: This study successfully isolated VHHs against the SUMO protein for the first time using biopanning of an immune camelid nanobody library. The VHHs were coupled to agarose resins to form affinity chromatography resins, allowing for one-step purification of various SUMO fusions.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Xueting Qiu, Xuben Hou, Yue Yang, Hao Fang, Fei Cui, Xinying Yang
Summary: In this study, a new method based on electrophoretically mediated microanalysis was developed for the investigation of PTPRO enzymatic activity. The method was successfully used to determine the kinetics of PTPRO and the inhibitory concentration of PTPRO inhibitors. The method exhibited improved accuracy and reduced consumption compared to traditional methods.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Feifei Luo, Mengmeng Hao, Lei Zhang, Yangguo Xie, Wei Hou, Hongya Wang, Zhongli Zhang
Summary: In this study, a comprehensive screening and structure elucidation of 23 nonvolatile organic compounds (NVOCs) in two antibody drugs was conducted. Seven previously unreported compounds were identified. A quantitative method with high sensitivity, accuracy, and precision was developed for evaluating the safety of NVOCs in drug products.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zuzana Vosahlova, Kveta Kalfkova, Martin Gilar, Jakub Szymarek, Maria Mazurkiewicz-Beldzinska, Sylwia Studzi
Summary: A hydrophilic interaction liquid chromatography method was developed for the separation and identification of oligonucleotide impurities and metabolites, and successfully applied to the analysis of serum samples from Spinraza-treated patients.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Aswanidevi Kongasseri, Thirumalai Madhesan, Sangeetha Krishna Kumar, Sushmitha Pedugu Sivaraman, Suchashrita Mitra, Pitchaiah Kancharlapalli Chinaraga, C. V. S. Brahmmananda Rao, Sivaraman Nagarajan, Prabhakaran Deivasigamani, Akhila Maheswari Mohan
Summary: This study focuses on the sequential separation of trivalent lanthanides using modified C-18 silica-packed supports and reversed-phase HPLC technique. By tuning the column modifiers and separation parameters, the researchers achieved systematic separation of Ln(3+). The results showed that the choice of column modifiers and fine-tuning of the modification procedure were crucial for achieving excellent separation.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Raquel Perez-Robles, Szabolcs Fekete, Robert Kormany, Natalia Navas, Davy Guillarme
Summary: There is a mismatch between the sample diluent and the mobile phase in HILIC analysis, leading to analyte breakthrough and peak distortion. Adding a weak solvent for pre-injection can effectively prevent these issues and improve sensitivity.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Oleg Pokrovskiy, Irina Rostovschikova, Konstantin Ustinovich, Ilya Voronov, Dmitry Kosyakov
Summary: A chromatography-like propagation of water through the material bed was observed during supercritical fluid extraction of aroma plants with high moisture content, which could be significant for modeling the kinetics of supercritical fluid extraction of non-volatile compounds.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Yasar Kemal Recepoglu, Ozguer Arar, Asli Yuksel
Summary: Biosorption using phosphorylated hazelnut shell waste (FHS) is a promising method for lithium removal and recovery. This study investigated the performance of a continuous-flow packed-bed column system using FHS for ultra-low level lithium removal. The results showed that the lihium biosorption capacity of the FHS column was unaffected by the bed height, but decreased with increasing flow rate.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Jian Sun, Zheheng Zheng, Zixiao Jia, Jiabin Wang, Xucong Lin
Summary: In this study, an ionic covalent organic framework (iCOF) surface grafting monolithic sorbent was prepared for in-tube solid-phase microextraction (SPME) of aristolochic acids (AAs) in various samples. The density of quaternary ammonium ions in the iCOF was modulated for enhanced adsorption of AAs. The iCOF surface grafting monolithic sorbent was confirmed by different means. Several operating conditions were optimized to develop the online in-tube SPME-HPLC method, which showed good linearity, low limits of detection, and high recoveries for AAs in serum samples. This study presents a feasible approach for the application of COF-based monolithic sorbents in sample preparation.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Zeng Wen, Ruihan Peng, Die Gao, Jing Lin, Jia Zeng, Zhou Li, Famin Ke, Zhining Xia, Dandan Wang
Summary: A chitosan-alginate sponge with multiple cross-linking networks was developed for adsorption and enrichment of anionic dyes from food samples. The sponge showed better three-dimensional network structure, mechanical behavior, and stability compared to pure chitosan and alginate sponges. The adsorption performance and selectivity of the sponge were systematically studied, and it maintained high adsorption capacity and selectivity for anionic dyes. The sponge also showed satisfactory reusability and was successfully combined with high-performance liquid chromatography for the enrichment and detection of anionic dyes in candy and cocktail samples.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Hairong Zhang, Xiaojuan Jiang, Dandan Zhang, Yuexin Yang, Qiang Xie, Caisheng Wu
Summary: Analysis of in vivo exposure to traditional Chinese medicine using mass spectrometry is helpful for identifying effective ingredients and developing new drugs. This study focused on Forsythia suspensa (Lian Qiao) and used metabolomics technology to explore its in vivo exposure. By comparing the differences before and after administration, a complete set of nontargeted analysis strategies for TCM exposure was established. The study identified 393 Lian Qiao-related chemical components in mice after administration, including prototypes and metabolites. This study provides a reference for research on the active ingredients of Lian Qiao in vivo.
JOURNAL OF CHROMATOGRAPHY A
(2024)
Article
Biochemical Research Methods
Oscar Castejon-Musulen, Ricardo Lopez, Ignacio Ontan, Vicente Ferreira
Summary: A quantitative analytical method was developed and validated in this study to determine the concentrations of 81 aroma-relevant wine volatiles. The method utilizes stir bar sorptive extraction and multidimensional gas chromatography with flame ionization detector or mass spectrometer. The method demonstrated good linearity, reproducibility, and recovery, and was successfully applied to analyze 20 wine samples.
JOURNAL OF CHROMATOGRAPHY A
(2024)
