Article
Environmental Sciences
Hyeon-Jeong Lee, Minsik Kang, Junghyun Son, Hophil Min, Sangwon Cha, Han Bin Oh, Won Keun Oh, Jaeick Lee
Summary: Phenols are important environmental endocrine disruptors with potential adverse health effects. A comprehensive and sensitive analytical method for multiple classes of phenols was developed by investigating the influence of mobile phase compositions in LC-ESI-MS/MS analysis. This method allowed for the concurrent ionization of all phenols and significantly improved the analytical sensitivity for certain phenols.
ENVIRONMENTAL RESEARCH
(2023)
Article
Chemistry, Applied
Liguo Song, Grant Meyer, Emmanuel Adejumo, Emily Jovanovich, Lindsey LeBlanc, Jake Provis
Summary: A LC-DAD method was developed for potency testing of up to sixteen cannabinoids and applied to analyze twenty hemp-infused edibles with complex matrices. The method was validated according to ISO 17025 guidelines and met the requirements. By spiking abnormal cannabidiol into each sample, extraction recovery was tracked in real time, resulting in 90 to 108% recovery with relative standard deviations of 0.5 to 6.5%. The linear calibration range for each cannabinoid was between 0.008 and 10% (w/w), except for drinks where it was between 0.0008 and 1% (w/w).
Article
Agriculture, Multidisciplinary
Sandra Muehlwald, Nina Meyburg, Sascha Rohn, Nadja Buchner
Summary: This study compared the clean-up effect of a fully automated 2D-LC system with a traditional QuEChERS LC method in negative ESI mode, focusing on the detection of compounds. The results showed that fewer compounds could be detected with 2D-LC and negative ESI mode, but for specific polar compounds, 2D-LC yielded better results.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Review
Chemistry, Analytical
Yuanyuan Wu, Wenmei Zhang, Yaoyao Zhao, Xiayan Wang, Guangsheng Guo
Summary: Research on single-cell proteomics is crucial for understanding the growth, development, and diseases in organisms. However, the complexity and limited quantity of proteins in single cells have hindered the progress in this field. Mass spectrometry-based single-cell proteomics, particularly electrospray ionization mass spectrometry (ESI-MS), has rapidly advanced due to its minimal sample requirements, high sensitivity, and structural information without antibody labeling. Nevertheless, the variations in pretreatment methods, separation techniques, and MS instruments greatly affect the throughput and coverage of single-cell proteomic technologies. This review categorizes recent publications based on different methods for single-cell protein sample separation, highlights the performance of these methods in terms of detection coverage and throughput, and discusses the applications and future prospects of ESI-MS-based single-cell proteomics.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Environmental Sciences
Zheng Wang, Aimin Li, Yufeng Liao, Chendong Shuang, Yang Pan, Yangyang Zhang, Hongfang Sun, Qing Zhou, Wentao Li
Summary: The interference of natural organic matter (NOM) on the determination of pharmaceuticals using liquid chromatography-mass spectrometry was investigated. The results showed that NOM concentrations had little effect on the recoveries of most pharmaceuticals, but had a linear negative correlation with matrix effects and process efficiencies, which decreased with increasing NOM concentrations. This study suggests that hydrophilic pharmaceuticals are more susceptible to NOM interference in the analytical process.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biochemical Research Methods
Andrea Castellaneta, Ilario Losito, Davide Coniglio, Beniamino Leoni, Pietro Santamaria, Maria Antonietta Di Noia, Luigi Palmieri, Cosima Damiana Calvano, Tommaso R. Cataldi
Summary: An automated workflow named LIPIC is proposed for correcting isotopic interference in the analysis of phospholipid mixtures by liquid chromatography, improving accuracy through precise signal intensities prediction and correction.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2021)
Article
Chemistry, Analytical
Harald Schoeny, Evelyn Rampler, Dinh Binh Chu, Anna Schoeberl, Luis Galvez, Markus Blaukopf, Paul Kosma, Gunda Koellensperger
Summary: Standardization is crucial in lipidomics, with proposed traceable lipid class quantification for validation of workflows. Utilizing P-31 NMR and ICP-MS to validate LC-MS-based approaches, a novel quantification strategy based on lipid class separation and mass spectrometry is introduced. The concept proves interesting with low limits of detection and independent calibration strategies for quantitative assessment of lipid species.
ANALYTICAL CHEMISTRY
(2022)
Article
Multidisciplinary Sciences
Yoon Keun Cho, Young Cheol Yoon, Hyeonyeong Im, Yeonho Son, Minsu Kim, Abhirup Saha, Cheoljun Choi, Jaewon Lee, Sumin Lee, Jae Hyun Kim, Yun Pyo Kang, Young-Suk Jung, Hong Koo Ha, Je Kyung Seong, James G. Granneman, Sung Won Kwon, Yun-Hee Lee
Summary: The dysregulation of plasmalogen metabolism in adipose tissue is associated with metabolic diseases. The deletion of adipocyte TMEM86A is protective against high fat diet induced metabolic disease, and this effect can be replicated by plasmenyl lysophosphatidylethanolamine 18:0 supplementation.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Analytical
Huaxu Yu, Tao Huan
Summary: It is well known that nonlinear electrospray ionization (ESI) distorts signal distribution in mass spectrometry (MS) analysis, resulting in decreased statistical power for t-test. However, the exact consequences and potential solutions to this quantitative issue have not been thoroughly explored. In this study, using a serial diluted urine metabolomics dataset, it was demonstrated that over 80% of metabolic features exhibit nonlinear ESI response patterns, causing skewed MS signal distributions. Among them, right-skewed MS distributions cannot be corrected by conventional data transformations. Furthermore, a Monte Carlo simulation was conducted to quantitatively evaluate the reduced statistical power for t-test calculated using MS signal data under different sample sizes and effect sizes. The results consistently showed that t-test using MS signal data has lower statistical power than t-test using metabolic concentration data. To address this statistical issue, a bioinformatic workflow called PowerU was proposed, which aims to mitigate the diminished statistical power caused by both the nonlinear ESI response and the inherent non-normal distribution of metabolic concentrations. The PowerU workflow consists of two steps: converting MS signals to quality control (QC) sample injection amounts to address the skewed MS signal distributions, and performing a Shapiro-Wilk test to assess data normality and guide the application of t-test and Mann-Whitney U test for optimal statistical outcomes. PowerU was validated using a metabolomics study of mouse cecum samples, and the results showed that PowerU significantly improves the statistical power for t-test and facilitates the discovery of significantly altered metabolites for downstream biological interpretation.
ANALYTICA CHIMICA ACTA
(2022)
Review
Pharmacology & Pharmacy
Manman Qin, Yuqing Qian, Lu Huang, Chao Zhong, Mingdong Li, Jun Yu, Huanwen Chen
Summary: Extraction electrospray ionization mass spectrometry (EESI-MS) enables effective ionization of trace molecules in complex samples without sample pretreatment, providing high sensitivity, selectivity, and response speed. It also allows for advanced functionalization of high-energy molecular species. This article systematically reviews the effects of operating conditions on the analytical performance of EESI-MS for various pharmaceutical compounds and introduces its potential application in molecular functionalization for drug discovery.
FRONTIERS IN PHARMACOLOGY
(2023)
Review
Medical Laboratory Technology
Kenichi Tamama
Summary: Drugs of abuse testing is commonly used in clinical and forensic settings, with urine being the preferred specimen type but other emerging types include saliva, sweat, hair, and meconium. Liquid chromatography-tandem mass spectrometry (LC-tandem-MS) has become the new gold standard for confirmatory drug testing due to its ability to analyze a wider range of analytes compared to gas chromatography-mass spectrometry (GC-MS). Technical advancements such as high-resolution mass spectrometry and miniature ambient ionization mass spectrometry have improved the speed and efficiency of drugs of abuse testing.
CLINICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Hsiao-Wei Liao, Yu-Wen Cheng, Sung-Chun Tang, Ching-Hua Kuo
Summary: Metabolomics is a technique used to study the changes in metabolites in biological systems. The accurate observation of metabolite levels is crucial for both targeted and untargeted analysis. This study identified the bias caused by incomplete metabolite extraction and matrix effect in the commonly used methanol extraction method for human plasma sample preparation. The proposed metabolite extraction evaluation method has the potential to benefit clinical and biological metabolomics studies.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Chemistry, Applied
Haeran Moon, Ae-ji Nam, Kimberly Etombi Muambo, Jeong-Eun Oh
Summary: A method for simultaneous detection of 27 regulated and unregulated anesthetics and sedatives in seafood using LC-ESI/MSMS was developed and validated. The most efficient pretreatment methods involved extraction using acetonitrile only or 0.1% ammonium acetate in acetonitrile. The method meets the requirements of both international and domestic guidelines.
Article
Biochemical Research Methods
Shuailong Chen, Xuan Li, Shijia Liu, Longshan Zhao, Wenyong Zhang, Zhili Xiong, Hemi Luan
Summary: A rapid, sensitive, and high-throughput isotope dilution liquid chromatography-negative ion electrospray tandem mass spectrometry (IDLC-nESI-MS/MS) method was developed for accurate quantification of multiple ceramides. This method demonstrated good linearity and recovery, and could be applied for studying ceramide biology and disease diagnosis.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Biochemical Research Methods
Michael Goetze, Lukasz Polewski, Leila Bechtella, Kevin Pagel
Summary: This article introduces a 3D-printable nano-electrospray ionization (nano-ESI) source for Bruker instruments, which can be assembled by anyone with access to a 3D printer. The source can be fitted to any Bruker mass spectrometer with an ionBooster ESI source and only requires minor, reversible changes to the original Bruker hardware. The general utility of the source was demonstrated by recording high-resolution MS spectra of small molecules, intact proteins, as well as complex biological samples in negative and positive ion mode on two different Bruker instruments.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
Article
Biochemical Research Methods
Shu-Ling Wang, Ling Yi, Li -Hong Ye, Jun Cao, Li-Jing Du, Li-Qing Peng, Jing-Jing Xu, Qi-Dong Zhang
JOURNAL OF CHROMATOGRAPHY A
(2017)
Article
Biochemical Research Methods
Li-Jing Du, Ling Yi, Li-Hong Ye, Yu-Bo Chen, Jun Cao, Li-Qing Peng, Yu-Ting Shi, Qiu-Yan Wang, Yu-Han Hu
JOURNAL OF CHROMATOGRAPHY A
(2018)
Article
Biochemical Research Methods
Jun Cao, Ping Li, Jue Chen, Ting Tan, Han-Bin Dai
Article
Integrative & Complementary Medicine
Qun Liu, Yong-Bo Peng, Lian-Wen Qi, Xiao-Lan Cheng, Xiao-Jun Xu, Le-Le Liu, E-Hu Liu, Ping Li
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2012)
Article
Chemistry, Applied
Guo-Dong Zheng, Ping Zhou, Hua Yang, Yue-shan Li, Ping Li, E. -Hu Liu
Article
Neurosciences
Ju Wang, Zi-Qi Shi, Xiaojun Xu, Gui-Zhong Xin, Jun Chen, Lian-Wen Qi, Ping Li
JOURNAL OF ALZHEIMERS DISEASE
(2013)
Article
Biochemical Research Methods
Ying Liu, Xiao-Wei Shi, E-Hu Liu, Long-Sheng Sheng, Lian-Wen Qi, Ping Li
JOURNAL OF CHROMATOGRAPHY A
(2012)
Article
Biochemical Research Methods
Wen Gao, Hua Yang, Lian-Wen Qi, E-Hu Liu, Mei-Ting Ren, Yu-Ting Yan, Jun Chen, Ping Li
JOURNAL OF CHROMATOGRAPHY A
(2012)
Article
Biochemical Research Methods
Lian-Wen Qi, Huai-You Wang, Hui Zhang, Chong-Zhi Wang, Ping Li, Chun-Su Yuan
JOURNAL OF CHROMATOGRAPHY A
(2012)
Article
Multidisciplinary Sciences
Li-Qing Peng, Ling Yi, Qiu-Cheng Yang, Jun Cao, Li-Jing Du, Qi-Dong Zhang
SCIENTIFIC REPORTS
(2017)
Article
Chemistry, Multidisciplinary
Jian Meng, Xiao-yun Liu, Sheng Ma, Hua Zhang, Song-da Yu, Yi-fan Zhang, Mei-xia Chen, Xiao-yu Zhu, Yi Liu, Ling Yi, Xiao-liang Ding, Xiao-yan Chen, Li-yan Miao, Da-fang Zhong
ACTA PHARMACOLOGICA SINICA
(2019)
Article
Chemistry, Medicinal
Li Zhang, Sheng-Ye Yang, Feng-Rong Qi-Li, Xiao-Xiao Liu, Wei-Tao Zhang, Chao Peng, Ping Wu, Ping Li, Pingping Li, Xiaojun Xu
Summary: Isoliquiritigenin (ISO) is a lipid-lowering compound that improves nonalcoholic fatty liver disease and nonalcoholic steatohepatitis by regulating SIRT1 expression. IQGAP2 was identified as the direct target of ISO in lipid homeostasis regulation, and a novel IQGAP2-CREB-SIRT1 axis was demonstrated for the first time in treating NAFLD/NASH.
PHYTOTHERAPY RESEARCH
(2021)
Article
Biochemistry & Molecular Biology
Hui-Min Cheng, Mingming Xing, Ya-Ping Zhou, Weitao Zhang, Zeyu Liu, Lan Li, Zuguo Zheng, Yuanchen Ma, Pingping Li, Xiaoxuan Liu, Ping Li, Xiaojun Xu
Summary: Heat shock protein 90 beta (Hsp90 beta) plays a specific role in osteoclasts by binding to Ikk beta, reducing its degradation, and promoting NF-kappa B signaling. It also increases cholesterol biosynthesis, leading to the expression of osteoclastogenic genes. Inhibiting or deleting Hsp90 beta can alleviate bone loss in osteoporosis.
CELL DEATH AND DIFFERENTIATION
(2023)
Article
Biochemistry & Molecular Biology
Lei Zhao, Ziyan Qi, Ling Yi, Jingjing Li, Yadong Cui, Faiz Ur Rehman, Jianhua Yang, Jiangyun Liu, Yali Li, Jian Zhang
Summary: The study revealed that the flavonoid extract from Smilax glabra Roxb. (FSGR) could modulate gut dysbiosis induced by high-fat diet (HFD) in a rat model of fatty liver, suggesting its potential as a prebiotic agent to combat metabolic disorders associated with fatty liver.
Article
Pharmacology & Pharmacy
Ling Yi, Hua Zhang, Jin-wen Zhang, Xiao-ming You, Zhi-qiang Ning, Jia Yu, Li-fang Qian, Li-yan Miao
CLINICAL PHARMACOLOGY IN DRUG DEVELOPMENT
(2019)
