Article
Chemistry, Multidisciplinary
Weikang Shu, Mengji Zhang, Chaoqi Zhang, Rongxin Li, Congcong Pei, Yu Zeng, Liang Zhao, Jing Zhao, Jingjing Wan
Summary: This study presents a bimodal spectrometric protocol for stroke serum profiling using surface-enhanced Raman spectroscopy (SERS) and laser desorption/ionization mass spectrometry (LDI-MS). The protocol allows for high-throughput co-detection of vibrational and metabolic fingerprints in serum samples, enabling precision diagnosis of stroke. Additionally, a dual-fingerprints screening model of stroke is constructed using adaptive machine learning and nonlinear fitting model.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Shunxiang Li, Huihua Ding, Ziheng Qi, Jing Yang, Jingyi Huang, Lin Huang, Mengji Zhang, Yuanjia Tang, Nan Shen, Kun Qian, Qiang Guo, Jingjing Wan
Summary: Serum metabolic fingerprints can be used for disease diagnosis and biomarker discovery. By analyzing the serum metabolic fingerprints of systemic lupus erythematosus (SLE) patients and healthy controls, early diagnosis and precision medicine for SLE can be achieved. This study identified the unique metabolic pattern of SLE patients and screened out a panel of metabolic biomarkers.
Article
Chemistry, Multidisciplinary
Jing Cao, Yan Xiao, Mengji Zhang, Lin Huang, Ying Wang, Wanshan Liu, Xinming Wang, Jiao Wu, Yida Huang, Ruimin Wang, Li Zhou, Lin Li, Yong Zhang, Lili Ren, Kun Qian, Jianwei Wang
Summary: Infection classification is crucial for selecting appropriate treatment plans, and early identification of causative agents is critical for disease control. Host response analysis can detect diverse and sensitive host inflammatory responses to determine the presence and type of infection. However, traditional host-derived inflammatory indicators are inadequate for clinical infection classification.
Article
Chemistry, Multidisciplinary
Xia Yin, Jing Yang, Mengji Zhang, Xinyao Wang, Wei Xu, Cameron-Alexander H. Price, Lin Huang, Wanshan Liu, Haiyang Su, Wenjing Wang, Hongyu Chen, Guangjin Hou, Mark Walker, Ying Zhou, Zhen Shen, Jian Liu, Kun Qian, Wen Di
Summary: Chemotherapy is a crucial cancer treatment, and its monitoring plays a vital role in improving survival rates and quality of life for cancer patients. However, current monitoring methods are not sensitive enough and have radiation invasiveness. In this study, a bowl-shaped submicroreactor chip loaded with Au-3-aminophenol formaldehyde resin (APF-bowl&Au) is developed for serum metabolic fingerprint extraction and chemotherapy monitoring, allowing for improved prediction of chemotherapy outcomes.
Article
Chemistry, Analytical
Xufang Hu, Zongping Wang, Haolin Chen, An Zhao, Nianrong Sun, Chunhui Deng
Summary: An advanced metabolic analysis tool based on highly porous metal oxides derived from metal-organic frameworks (MOFs) is developed in this study. The tool successfully differentiates and stages renal cell carcinoma (RCC), as well as identifies the size of tumors. This achievement shows promising prospects for designer matrix-based analytical tools in disease diagnosis.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Physical
Jiabin Su, Jing Cao, Heng Yang, Wei Xu, Wanshan Liu, Ruimin Wang, Yida Huang, Jiao Wu, Xinjie Gao, Ruiyuan Weng, Jun Pu, Ning Liu, Yuxiang Gu, Kun Qian, Wei Ni
Summary: Unruptured intracranial aneurysm (UIA) is a high-risk cerebrovascular saccular dilatation. Serum metabolic fingerprints are a promising alternative for early diagnosis. This study applied nanoparticle enhanced laser desorption/ionization mass spectrometry to obtain high-performance UIA-specific serum metabolic fingerprints. The constructed machine learning model achieved a diagnostic performance with an AUC of 0.842 and identified lactate, glutamine, homoarginine, and 3-methylglutaconic acid as the metabolic biomarker panel.
Article
Multidisciplinary Sciences
John P. McGee, Pei Su, Kenneth R. Durbin, Michael A. R. Hollas, Nicholas W. Bateman, G. Larry Maxwell, Thomas P. Conrads, Ryan T. Fellers, Rafael D. Melani, Jeannie M. Camarillo, Jared O. Kafader, Neil L. Kelleher
Summary: This study introduces a semi-automated single-ion mass spectrometry workflow for top-down tandem mass spectrometry analysis directly from tissue microenvironments. The results demonstrate that this method can identify multiple proteoforms in tumor samples within a short period of time, and effectively identify proteoform signatures in tumor and stromal regions.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Ouyang Dan, Chuanzhe Wang, Chao Zhong, Juan Lin, Gang Xu, Guane Wang, Zian Lin
Summary: In this study, novel LDI-MS substrates were designed to enhance the sensitivity of mass signals and achieve high accuracy diagnosis of different saccharides and central precocious puberty (CPP).
Article
Chemistry, Analytical
Mingjie Li, Jiying Xu, Qingfeng Zheng, Chao Guo, Yi Chen
Summary: The study proposes a method that combines surface plasmon resonance imaging (SPRi) and chemically selective stepwise signal amplification (CS(3)A) to chemically image fingerprints with adjustable sensitivity and clarity. The method is effective in obtaining high-fidelity glucose-associated fingerprint images and can also be extended to image substances that possess recognizable chemical groups. Additionally, the method allows for quantitative analysis and reveals metabolic secretions in fingerprints during physical activity.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Multidisciplinary
Wei Chen, Haojun Yu, Yong Hao, Wanshan Liu, Ruimin Wang, Yida Huang, Jiao Wu, Lei Feng, Yangtai Guan, Lin Huang, Kun Qian
Summary: Timely screening and differential diagnosis of neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein associated disorder (MOGAD) are crucial for improving patients' quality of life. This study developed a fast metabolic fingerprint analysis method using nanoparticle-enhanced laser desorption/ionization mass spectrometry, which achieved high accuracy in diagnosing NMOSD and revealed comprehensive information about metabolic dysregulation. By combining metabolic fingerprints from plasma and cerebrospinal fluid, NMOSD and MOGAD could be effectively differentiated. This approach outperformed human experts, especially in regions with limited antibody testing.
Article
Multidisciplinary Sciences
Yida Huang, Shaoqian Du, Jun Liu, Weiyi Huang, Wanshan Liu, Mengji Zhang, Ning Li, Ruimin Wang, Jiao Wu, Wei Chen, Mengyi Jiang, Tianhao Zhou, Jing Cao, Jing Yang, Lin Huang, An Gu, Jingyang Niu, Yuan Cao, Wei-Xing Zong, Xin Wang, Kun Qian, Hongxia Wang
Summary: High-performance metabolic analysis using fast nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI-MS) was used to record serum metabolic fingerprints (SMFs) of breast cancer patients. The SMFs were used for machine learning to distinguish breast cancer from non-breast cancer, and also for constructing a metabolic prognosis scoring system. Additionally, a panel of differentially enriched metabolites and related pathways in breast cancer serum were identified.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Food Science & Technology
Ajay Rana, Shalika Rana, Smita Kapoor, Robin Joshi, Ankita Thakur, Y. S. Padwad, Sanjay Kumar
Summary: The study on the metabolite fingerprinting and bioactivity of different teas reveals the significant impact of tea processing on the composition of key metabolites and therapeutic potential.
Article
Chemistry, Multidisciplinary
Andrea Carra, Luigi Falciola, Giuseppe Cappelletti, Lavinia Morosi, Enrico Davoli
Summary: The use of nanoparticles in MALDI imaging allows for the reconstruction of chemical images of solid objects revealed in fingerprints, providing insight into the molecular distribution of endogenous and exogenous compounds. The technique also enables the detection of contact between skin and contaminated objects with chemical images that maintain the shape of the objects.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Ying Feng, Xianhu Wei, Moutong Chen, Honghui Zhu, Jumei Zhang, Youxiong Zhang, Liang Xue, Lanyan Huang, Guoyang Chen, Qihui Gu, Shi Wu, Yu Ding, Qingping Wu
Summary: This study developed a new deep semi-quantitative fingerprinting method using pseudotargeted metabolomics and deep learning techniques, achieving a prediction accuracy of Listeria monocytogenes serotypes exceeding 99%. This technology demonstrates great potential for the rapid and accurate identification of pathogens.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Physical
C. Juillet, Q. Auzoux, F. Datcharry, F. Martin, M. Tupin
Summary: In this study, the permeation process of tritium in nuclear pressurized water reactors was investigated by using deuterium as an isotopic tracer. The results showed that surface recombination reaction in the metal was the rate-limiting step of the permeation process, and stress in the specimens decreased the apparent activation energy of deuterium desorption.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Analytical
Melanie J. Bailey, Marcel de Puit, Francesco Saverio Romolo
Summary: Surface analysis techniques have great potential for applications in forensic science, particularly in the analysis of fingerprints, hair, drugs, explosives, and microtraces. Despite their promising results, operational deployment of these techniques faces challenges.
ANNUAL REVIEW OF ANALYTICAL CHEMISTRY
(2022)
Review
Endocrinology & Metabolism
Matt Spick, Holly M. Lewis, Michael J. Wilde, Christopher Hopley, Jim Huggett, Melanie J. Bailey
Summary: This study aims to evaluate the accuracy of mass spectrometry diagnostic tests developed so far across various biological samples, with the best diagnostic results achieved by viral proteomic analyses of nasopharyngeal swabs and metabolomic analyses of plasma and serum. Other sampling matrices performed less well, indicating that these protocols are currently insufficiently mature for clinical application.
METABOLISM-CLINICAL AND EXPERIMENTAL
(2022)
Article
Chemistry, Analytical
Holly-May Lewis, Priyanka Gupta, Kyle D. G. Saunders, Shazneil Briones, Johanna von Gerichten, Paul A. Townsend, Eirini Velliou, Dany J. V. Beste, Olivier Cexus, Roger Webb, Melanie J. Bailey
Summary: This work presents a new approach for measuring drug levels and lipid fingerprints in individual living mammalian cells. The method combines nanocapillary sampling with liquid chromatography to improve precision in drug analysis. By optimizing the transfer of analytes from the sampling capillary, the researchers achieved efficient measurement of drug analytes in 30 living cells. They also discovered cell-to-cell heterogeneity in drug molecule uptake and identified lipid features associated with bedaquiline uptake.
Review
Biochemical Research Methods
Claire Davison, Dany Beste, Melanie Bailey, Monica Felipe-Sotelo
Summary: Metals play an important role in microbiology and accurate methods are needed for their identification and quantification. Single-cell analysis allows the assessment of elemental heterogeneity across genetically identical populations and its relationship to specific biological events and drug effectiveness. Single particle-inductively coupled plasma-mass spectrometry (SP-ICP-MS) can measure this heterogeneity in suspended single cells, while techniques based on laser ablation enable elemental mapping at the single-cell level. The hyphenation of these trace elemental analysis techniques with multi-omic technologies has great potential in answering fundamental biological questions in single-cell analysis.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Review
Biochemistry & Molecular Biology
Celine van Haaren, Marieke De Bock, Sergei G. G. Kazarian
Summary: One of the major challenges in developing oral pharmaceutical formulations is the poor solubility of active ingredients. Standard dissolution tests provide limited information, but ATR-FTIR spectroscopic imaging offers high spatial and chemical specificity to study tablet dissolution processes. Understanding these mechanisms is crucial for effective formulation development.
Article
Biochemistry & Molecular Biology
Catia Costa, Janella De Jesus, Chelsea Nikula, Teresa Murta, Geoffrey W. W. Grime, Vladimir Palitsin, Veronique Dartois, Kaya Firat, Roger Webb, Josephine Bunch, Melanie J. J. Bailey
Summary: The co-localization of elemental species with host biomolecules allows for the understanding of metabolic dysregulation and disease pathogenesis. Alkali metals, widely studied and implicated in various diseases, disrupt lipid metabolism. Previous work in DESI molecular imaging has shown that the commonly used solvent system leads to ion delocalization, hindering subsequent elemental analysis. A novel solvent system (50:50 (%v/v) MeOH:EtOH) is presented here, which preserves the elemental species and enables post-DESI elemental mapping on the same tissue section. Benchmarking the MeOH:EtOH solvent against the commonly used MeOH:H2O solvent revealed improved lipid signal-to-noise ratios. The multimodal imaging workflow was successfully applied to a lung tissue section containing a tuberculosis granuloma, demonstrating its applicability to structurally defined, elementally-rich samples.
Article
Chemistry, Analytical
Kyle D. G. Saunders, Johanna von Gerichten, Holly-May Lewis, Priyanka Gupta, Matt Spick, Catia Costa, Eirini Velliou, Melanie J. Bailey
Summary: In this study, nanocapillary sampling combined with liquid chromatography-mass spectrometry was used for single-cell lipidomics. The method showed high sensitivity, allowing the tentative identification of around 260 lipids in a single cell. By analyzing the lipid profiles, chemotherapeutic drug-treated cancer cells were distinguished from control cells, and the relative abundance of LPC(0:0/16:0) was found to be significantly affected.
ANALYTICAL CHEMISTRY
(2023)
Article
Instruments & Instrumentation
James W. Beattie, Ruth C. Rowland-Jones, Monika Farys, Hamish Bettany, David Hilton, Sergei G. Kazarian, Bernadette Byrne
Summary: Protein A affinity chromatography is an important step in isolating biotherapeutics with fragment crystallizable regions. The dynamic binding capacity (DBC) analysis assesses the binding of biotherapeutics to a protein A column. This study demonstrates the effectiveness of Raman spectroscopy in monitoring the DBC of protein A resins, providing additional quality control information about aggregation status and protein structure.
APPLIED SPECTROSCOPY
(2023)
Review
Biochemistry & Molecular Biology
Kyle D. G. Saunders, Holly-May Lewis, Dany JV. Beste, Olivier Cexus, Melanie J. Bailey
Summary: Single cell metabolomics is a rapidly growing field in bio-analytical chemistry that aims to observe cellular biology in great detail. Two common approaches within this field are mass spectrometry imaging and selective cell sampling. Recent achievements in cell-cell interactions, lipid analysis, and phenotypic identification demonstrate the effectiveness of these approaches. However, the field faces challenges such as standardization, quantification, specificity, and sensitivity. Collaboration between the communities driving these approaches can help address the challenges specific to each approach.
CURRENT OPINION IN CHEMICAL BIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Anthony Onoja, Johanna von Gerichten, Holly-May Lewis, Melanie J. Bailey, Debra J. Skene, Nophar Geifman, Matt Spick
Summary: The global COVID-19 pandemic has led to rapid advancements in vaccine development, diagnostic testing, and treatment. This study evaluates the robustness of proposed biomarker panels in distinguishing COVID-19-positive and negative patients in a hospital setting. The best-performing panel consists of nine biomarkers and shows promising results.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Archaeology
Guan-Lin Liu, Elsa Guerreiro, Caroline Babington, Sergei G. Kazarian
Summary: This paper investigates the white crusts on oil paintings using micro Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopic imaging. The results show that the white crusts consist of sulphates, oxalates, and carbonates. Metal carboxylates with different crystallinity and different metal ions were successfully characterized. The findings have provided guidance for cleaning treatments and shed light on the degradation process associated with lead and calcium migration to form the white crusts.
JOURNAL OF CULTURAL HERITAGE
(2023)
Article
Biochemistry & Molecular Biology
Deborah Charlton, Catia Costa, Steven J. J. Hinder, John F. F. Watts, Melanie J. J. Bailey
Summary: Time-of-flight secondary ion mass spectrometry (ToF-SIMS) has been shown to improve fingermark recovery compared to standard processes used by police forces. This study fills the gaps in knowledge by investigating the effectiveness of ToF-SIMS in revealing fingerprints on two common surfaces and comparing it to the standard process. The results show that ToF-SIMS enhances fingerprint ridge detail and running it in both positive and negative modes is beneficial.
Article
Chemistry, Multidisciplinary
K. Longman, C. Frampas, H. Lewis, C. Costa, R. Nilforooshan, M. Chambers, M. Bailey
Summary: This study explores the collection of finger sweat as a rapid and convenient method for monitoring patient adherence to antipsychotic drugs. The finger sweat test was found to be 100% effective in monitoring adherence within commonly prescribed dosing ranges and could differentiate between contact and administration of the drugs. Furthermore, a significant correlation was observed between the mass of parent drug in finger sweat and plasma concentration in a subgroup of patients. The finger sweat technology shows promise as a dignified and noninvasive method for monitoring treatment adherence in patients taking antipsychotics.
FRONTIERS IN CHEMISTRY
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Lorna Anguilano, Uchechukwu Onwukwe, Danny Aryani, Jesus J. Ojeda, Guido Lingua, Valentina Gianotti, Alessandra Devoto
Summary: The importance of lithium in modern industry is evident in the growing market for Li-based batteries, with a projected value of $100b by 2025. However, the current methods of lithium mining and manufacturing are energy-demanding and impact water resources. This paper proposes the use of phytomining and low-energy bio-synthesis to promote economic sustainability while addressing these issues.
REWAS 2022: DEVELOPING TOMORROW'S TECHNICAL CYCLES, VOL I
(2022)
