Article
Chemistry, Analytical
Sonia Abreu, Sylvie Heron, Audrey Solgadi, Florent Joffre, Alain Tchapla, Pierre Chaminade
Summary: A new analytical approach for triacylglycerol fatty acyls distribution analysis using NPLC coupled with APPI(+)-HRMS was presented in this study. The method showed high efficiency in separating lipid classes and accurately determining fatty acyl composition in complex lipid extracts.
ANALYTICA CHIMICA ACTA
(2021)
Article
Food Science & Technology
Zhiqian Liu, Simone Rochfort
Summary: Lipids are a major component of milk and recent advancements in identifying molecular species, elucidating deep structure, and quantifying accurately have been made. Over 4000 lipid species have been identified in bovine milk, and progress has been made in determining the position and bond location of milk phospholipids. Using multiple standards with isotopic correction is necessary for accurate lipid quantification. Branched- and odd-chain fatty acids in milk have gained attention due to their potential health benefits. Milk lipidomics shows promise in discovering biomarkers for mastitis and heat stress in dairy cows.
CURRENT OPINION IN FOOD SCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Marta Velasco, David Balgoma, Olimpio Montero
Summary: This study assessed the influence of different ammonium hydroxide concentrations on triacylglycerol adduct formation and fragmentation under liquid chromatography mass spectrometry analysis. The results showed that increasing ammonium hydroxide concentrations delayed the chromatographic elution time and affected the formation and fragmentation of different adducts. Additionally, a linear equation was derived to quantify the intensity of dehydroxydiacylglycerol fragments relative to the intensity of the ammonium adduct.
Article
Biochemical Research Methods
Eleni Lazaridi, Marie Hennebelle, Boudewijn Hollebrands, Jos Hageman, Jean-Paul Vincken, Hans-Gerd Janssen
Summary: Lipid oxidation in food products is a significant concern due to its impact on flavor, texture, and nutritional value. This study presents a novel mass spectrometry approach for selectively detecting oxidized lipids. The results indicate that the addition of sodium-containing additives and specific ion source settings can enhance the selectivity of oxidized lipid detection.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Sizhu Wang, Cuisong Tang, Jieying Chen, Huan Tang, Lin Zhang, Guangyu Tang
Summary: Osteoporosis is partly caused by dysfunctions in osteoblasts' commitment, differentiation, or survival. Bone marrow fatty acids can affect bone resorption and formation. This study aims to investigate the role of fatty acids in the early stages of postmenopausal osteoporosis and determine if they influence osteogenic differentiation through microRNAs. The results showed a decrease in palmitoleate on postoperative day 3 and a decrease in both pentadecanoate and palmitoleate on postoperative day 5 in the ovariectomized rat group. Palmitoleate promotes osteogenic differentiation, while pentadecanoate inhibits it. miR-92b-3p was found to inhibit osteoblastogenesis. Palmitoleate, pentadecanoate, and palmitate influenced the osteoblastogenesis of MC3T3-E1 cells through miR-92b-3p. It is proposed that miR-92b-3p mediates the effect of bone marrow fatty acids on osteoblast differentiation in the early stages of osteoporosis, providing potential molecular insights for its treatment.
Article
Oncology
Adriana Mika, Katarzyna Duzowska, Lukasz P. Halinski, Alicja Pakiet, Aleksandra Czumaj, Olga Rostkowska, Malgorzata Dobrzycka, Jaroslaw Kobiela, Tomasz Sledzinski
Summary: The study found that colorectal cancer patients have significantly higher levels of very long chain fatty acids in cancer tissue and serum, which are absent in healthy individuals. A panel of fatty acids identified in a single analysis can effectively distinguish colorectal cancer patients from healthy subjects.
FRONTIERS IN ONCOLOGY
(2021)
Article
Chemistry, Medicinal
Tiago A. Conde, Bruna F. Neves, Daniela Couto, Tania Melo, Bruno Neves, Margarida Costa, Joana Silva, Pedro Domingues, M. Rosario Domingues
Summary: The study used gas-chromatography mass-spectrometry to characterize the fatty acid profiles of seven different commercial microalgae, revealing unique compositions among them, especially in terms of omega-3 fatty acids, with species of the same phylum showing similar trends. Additionally, the research found that different lipid extracts exhibited comparable antioxidant activities, further demonstrating the potential of microalgae as sustainable and healthy sources of essential lipids.
Article
Chemistry, Applied
Iris Samarra, Clara Masdevall, Elisabet Foguet-Romero, Maria Guirro, Marc Riu, Pol Herrero, Nuria Canela, Antoni Delpino-Rius
Summary: Oxylipins derived from various polyunsaturated fatty acids show promise as biomarkers for distinguishing between organic and conventional milks, as they do not correlate with their fatty acid precursors. This suggests that oxylipins could be utilized as diet-dependent biomarkers for organic milk assessment.
Article
Chemistry, Multidisciplinary
Daisy Unsihuay, Hang Hu, Jiamin Qiu, Alessandra Latorre-Palomino, Manxi Yang, Feng Yue, Ruichuan Yin, Shihuan Kuang, Julia Laskin
Summary: This study uses a multimodal approach to characterize the chemical composition of skeletal muscle fibers and finds that the transition between oxidative and glycolytic fibers is associated with shallow chemical gradients. Cardiolipins, acylcarnitines, monoglycerides, fatty acids, highly polyunsaturated phospholipids, and oxidized phospholipids are identified as molecular signatures of oxidative metabolism. Conversely, histidine-related compounds are found as molecular signatures of glycolytic fibers.
Article
Multidisciplinary Sciences
Xiaoyu Zhou, Zhuofan Wang, Jingjin Fan, Zheng Ouyang
Summary: Ion mobility is utilized in mass spectrometers for analyzing the structure of biomolecules. Researchers demonstrate that ion mobility analysis in an ion trap with ultra-high fields can achieve resolutions over 10,000 for isomer separation, as shown for disaccharide, phospholipid, and peptide isomers. Elucidating complex structures of biomolecules is crucial in chemistry and life sciences. In the last decade, ion mobility coupled with mass spectrometry has become a unique tool for distinguishing isomers and isoforms of biomolecules. This study presents a concept for ion mobility analysis using an ion trap, enabling ultra-high field isomer separation and achieving resolutions over 10,000. The potential of this technology is demonstrated for analyzing isomers of disaccharides, phospholipids, and peptides with post-translational modifications.
NATURE COMMUNICATIONS
(2023)
Article
Dentistry, Oral Surgery & Medicine
M. Reich, C. Hannig, M. Hannig, K. Kuemmerer, A. Kensche
Summary: The lipid profiles of both in situ pellicle and saliva were effectively characterized in this study. Variations in phospholipid and fatty acid composition between pellicle and saliva suggest a selective pellicle formation process. This study provides important reference and fundamental data for further exploration of intricate surface interactions in the oral cavity, particularly involving hydrophobic substances.
ARCHIVES OF ORAL BIOLOGY
(2022)
Article
Agriculture, Dairy & Animal Science
My Tuyen T. Nguyen, Jieun Kim, Nari Seo, A. Hyun Lee, Yong-Ki Kim, Ji A. Jung, Dan Li, Xuan Hong M. To, Khanh Trang N. Huynh, Thanh Van Le, Beenish Israr, Anum Nazir, Jung-A Seo, Daum Lee, Hyun Joo An, Jaehan Kim
Summary: The study found significant differences in human milk fatty acid compositions among different Asian countries, with Pakistani breast milk having high saturated fat content and low unsaturated fatty acids, indicating the need for DHA supplementation in infants. Additionally, the average DHA: ARA ratio in Asian human milk was 1.01.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Multidisciplinary Sciences
Yue Huang, Ruipeng Mu, David Wen, Joseph S. Grimsby, Meina Liang, Anton I. Rosenbaum
Summary: Quantification of endogenous biomarkers in clinical studies requires careful evaluation and comparisons of assay performance parameters. A highly multiplex bioanalytical method for quantification of phosphatidylinositols (PI) was characterized, with the use of odd-chain PI species as surrogate analytes (SA) and Systematic Error Removal using Random Forest (SERRF) normalization algorithm for correction of batch effects. The method demonstrated acceptable precision and accuracy, and revealed consistent higher levels of PI in healthy subjects compared to CAD subjects, identifying a potential lipid biomarker for further exploration.
Article
Nutrition & Dietetics
Katsunori Tsuji, Yosuke Tsuchiya, Kaori Yokoi, Kenichi Yanagimoto, Hisashi Ueda, Eisuke Ochi
Summary: This study aimed to examine the efficacy of interesterified structured lipids EPA and MCTs on cardiorespiratory endurance and found that the consumption of interesterified structured lipids EPA and MCTs improved endurance in humans.
Article
Chemistry, Analytical
Tian Xia, Ming Yuan, Yongwei Xu, Feng Zhou, Kate Yu, Yu Xia
Summary: Glycerolipids are crucial for cellular lipid homeostasis, with dysregulation in their metabolism linked to metabolic diseases. A new workflow utilizing charge-tagging PB derivatization, SFC, and MS/MS has been developed to accurately analyze GL structures and composition, potentially enabling lipid marker discovery for disease monitoring or diagnosis.
ANALYTICAL CHEMISTRY
(2021)
Review
Public, Environmental & Occupational Health
Jennifer L. Hicks, Melissa A. Boswell, Tim Althoff, Alia J. Crum, Joy P. Ku, James A. Landay, Paula M. L. Moya, Elizabeth L. Murnane, Michael P. Snyder, Abby C. King, Scott L. Delp
Summary: Health behaviors are crucial for well-being, but issues like physical inactivity and insufficient sleep are still significant global health problems. Mobile technology has the potential to promote health behaviors, but its use is largely untapped. This article provides recommendations on designing and using mobile technology to support overall health, focusing on behavior change interventions. It discusses personalized interventions, evaluating relationships between mobile technology data, and health to establish evidence-based guidelines. The article promotes theory-based, personalized, and human-centered approaches in promoting health behaviors.
ANNUAL REVIEW OF PUBLIC HEALTH
(2023)
Article
Multidisciplinary Sciences
Graham S. Erwin, Gamze Gursoy, Rashid Al-Abri, Ashwini Suriyaprakash, Egor Dolzhenko, Kevin Zhu, Christian R. Hoerner, Shannon M. White, Lucia Ramirez, Ananya Vadlakonda, Alekhya Vadlakonda, Konor von Kraut, Julia Park, Charlotte M. Brannon, Daniel A. Sumano, Raushun A. Kirtikar, Alicia A. Erwin, Thomas J. Metzner, Ryan K. C. Yuen, Alice C. Fan, John T. Leppert, Michael A. Eberle, Mark Gerstein, Michael P. Snyder
Summary: In this study, repeat DNA sequence expansions were identified in 2,622 cancer genomes across 29 cancer types. Most of these expansions were specific to certain subtypes of cancer and were found to be distributed non-uniformly in the genome, showing enrichment near potential cis-regulatory elements. One specific expansion, a GAAA-repeat expansion, was detected in 34% of renal cell carcinoma samples and was shown to decrease cell proliferation in a dose-dependent manner when targeted with a GAAA-targeting molecule in preliminary experiments. Overall, this research suggests that repeat DNA sequence expansions may be an important and unexplored source of genetic variation in human cancer, providing a comprehensive catalogue for further study.
Article
Biotechnology & Applied Microbiology
Yuanwen Jiang, Artem A. Trotsyuk, Simiao Niu, Dominic Henn, Kellen Chen, Chien-Chung Shih, Madelyn R. Larson, Alana M. Mermin-Bunnell, Smiti Mittal, Jian-Cheng Lai, Aref Saberi, Ethan Beard, Serena Jing, Donglai Zhong, Sydney R. Steele, Kefan Sun, Tanish Jain, Eric Zhao, Christopher R. Neimeth, Willian G. Viana, Jing Tang, Dharshan Sivaraj, Jagannath Padmanabhan, Melanie Rodrigues, David P. Perrault, Arhana Chattopadhyay, Zeshaan N. Maan, Melissa C. Leeolou, Clark A. Bonham, Sun Hyung Kwon, Hudson C. Kussie, Katharina S. Fischer, Gurupranav Gurusankar, Kui Liang, Kailiang Zhang, Ronjon Nag, Michael P. Snyder, Michael Januszyk, Geoffrey C. Gurtner, Zhenan Bao
Summary: Smart bandages based on multimodal wearable devices have the potential to monitor and intervene in the healing process of chronic wounds. However, the integration of sensors and stimulators in current smart bandage technologies is limited. In this study, a flexible bioelectronic system with wireless power, closed-loop sensing and stimulation circuits, and skin-interfacing hydrogel electrodes with switchable adhesion was developed to address these challenges. The wound care system showed improved healing and tissue regeneration in preclinical wound models.
NATURE BIOTECHNOLOGY
(2023)
Review
Cell Biology
Baoxu Pang, Jan H. van Weerd, Feija L. Hamoen, Michael P. Snyder
Summary: Cell type- and differentiation-specific gene expression is controlled by genomic non-coding regulatory elements (NCREs), including promoters, enhancers, silencers, and insulators. Recent studies have focused on identifying and characterizing silencers, which repress gene transcription, and have highlighted their importance in homeostasis and disease. Understanding silencers has potential implications for genome research and therapeutic applications.
NATURE REVIEWS MOLECULAR CELL BIOLOGY
(2023)
Article
Chemistry, Medicinal
Jitender D. Gaddameedi, Tristan Chou, Benjamin S. Geller, Amithvikram Rangarajan, Tarun A. Swaminathan, Danielle Dixon, Katherine Long, Caiden J. Golder, Van A. Vuong, Selene Banuelos, Robert Greenhouse, Michael P. Snyder, Andrew M. Lipchik, Joshua J. Gruber
Summary: By developing a high throughput HAT1 acetyl-click assay, we identified riboflavin analogs as small-molecule inhibitors of HAT1. One compound (JG-2016 [24a]) showed relative specificity towards HAT1, suppressed the growth of human cancer cell lines, impaired enzymatic activity, and interfered with tumor growth. This study represents a step towards targeting the HAT1 enzyme complex for cancer therapy.
JOURNAL OF MEDICINAL CHEMISTRY
(2023)
Review
Cardiac & Cardiovascular Systems
Petra Mamic, Michael Snyder, W. H. Wilson Tang
Summary: Despite therapeutic advances, chronic heart failure (HF) still poses significant risks. Precision medicine approaches, especially in understanding the role of gut microbiome dysregulation, have the potential to provide novel biomarkers, therapeutic targets, and improved disease risk stratification. Deeper insights into gut microbiome-host interactions may pave the way toward personalized HF care and improved clinical outcomes.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2023)
Review
Biochemical Research Methods
Mohan Babu, Michael Snyder
Summary: The rise in chronic diseases has led to a cross-disciplinary approach in understanding and treating disease. Current medical care focuses on treating patients rather than preventing illness, resulting in high costs. The advancement of omics technologies and computational capabilities has allowed for precision health approaches. This review discusses the applications and challenges of multi-omics in precision health.
MOLECULAR & CELLULAR PROTEOMICS
(2023)
Item Withdrawal
Biochemical Research Methods
Rachel Marty Pyke, Dattatreya Mellacheruvu, Steven Dea, Charles W. Abbott, Simo Zhang, Nick A. Phillips, Jason Harris, Gabor Bartha, Sejal Desai, Rena McClory, John West, Michael P. Snyder, Richard Chen, Sean Michael Boyle
MOLECULAR & CELLULAR PROTEOMICS
(2023)
Article
Multidisciplinary Sciences
Jolanda Sarno, Pablo Domizi, Yuxuan Liu, Milton Merchant, Christina Bligaard Pedersen, Dorra Jedoui, Astraea Jager, Garry P. Nolan, Giuseppe Gaipa, Sean C. Bendall, Felice-Alessio Bava, Kara L. Davis
Summary: Resistance to glucocorticoids (GC) in B-cell progenitor acute lymphoblastic leukemia (BCP-ALL) is driven by coordination between the glucocorticoid receptor pathway and B-cell developmental pathways. The interplay between B-cell development and glucocorticoid pathways is crucial for GC resistance in leukemic cells. Targeting the active signaling through the addition of dasatinib may represent a therapeutic approach to overcome GC resistance in BCP-ALL.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Camilo A. Espinosa, Waqasuddin Khan, Rasheda Khanam, Sayan Das, Javairia Khalid, Jesmin Pervin, Margaret P. Kasaro, Kevin Contrepois, Alan L. Chang, Thanaphong Phongpreecha, Basil Michael, Mathew Ellenberger, Usma Mehmood, Aneeta Hotwani, Ambreen Nizar, Furqan Kabir, Ronald J. Wong, Martin Becker, Eloise Berson, Anthony Culos, Davide De Francesco, Samson Mataraso, Neal Ravindra, Melan Thuraiappah, Maria Xenochristou, Ina A. Stelzer, Ivana Maric, Arup Dutta, Rubhana Raqib, Salahuddin Ahmed, Sayedur Rahman, A. S. M. Tarik Hasan, Said M. Ali, Mohamed H. Juma, Monjur Rahman, Shaki Aktar, Saikat Deb, Joan T. Price, Paul H. Wise, Virginia D. Winn, Maurice L. Druzin, Ronald S. Gibbs, Gary L. Darmstadt, Jeffrey C. Murray, Jeffrey S. A. Stringer, Brice Gaudilliere, Michael P. Snyder, Martin S. Angst, Anisur Rahman, Abdullah H. Baqui, Fyezah Jehan, Muhammad Imran Nisar, Bellington Vwalika, Sunil Sazawal, Gary M. Shaw, David K. Stevenson, Nima Aghaeepour
Summary: Preterm birth is the leading cause of death in children under five, and its complex etiologies have hindered comprehensive studies. This study used multiomic profiling and multivariate modeling to investigate the biological signatures of maternal characteristics associated with preterm birth. Machine learning models showed reliable predictive performance for preterm birth, time-to-delivery, maternal age, gravidity, and BMI. Biological correlates of time-to-delivery included fetal-associated proteins and immune proteins, while maternal age, gravidity, and BMI were correlated with specific proteins and molecules related to collagen, endothelial function, inflammation, and metabolic regulation.
Meeting Abstract
Immunology
Brendan Keating, Eloi Schmauch, Brian Piening, Bo Xia, Chenchen Zhu, Boa-Li Chang, Karen Khalil, Jacqueline Kim, Elaina Weldon, Harvey Pass, David Ayares, Adam Griesemer, Massimo Mangiola, Jeffrey Stern, Michael P. Snyder, Jef Boeke, Robert A. Montgomery
Meeting Abstract
Cell Biology
Artem A. Trotsyuk, Serena Jing, Kellen Chen, Dominic Henn, Yuanwen Jiang, Simiao Niu, Dharshan Sivaraj, Ronjon Nag, Michael Snyder, Zhenan bao, Geoffrey C. Gurtner
WOUND REPAIR AND REGENERATION
(2023)
Review
Allergy
Sayantani B. Sindher, Andrew R. Chin, Nima Aghaeepour, Lawrence Prince, Holden Maecker, Gary M. Shaw, David K. Stevenson, Kari C. Nadeau, Michael Snyder, Purvesh Khatri, Scott D. Boyd, Virginia D. Winn, Martin S. Angst, R. Sharon Chinthrajah
Summary: The prevalence of food allergy is increasing globally, causing significant safety, economic, and emotional burdens. However, identifying patients who would benefit from preventive strategies is challenging due to the heterogeneity of allergy trajectories and clinical phenotypes. Further studies are needed to investigate the molecular mechanisms that differentiate these trajectories and drive food allergy development. Omics approaches have the potential to provide insights into these mechanisms, but their application in food allergy research is still in its early stages.
FRONTIERS IN ALLERGY
(2023)
Article
Biotechnology & Applied Microbiology
Jacob Schreiber, Carles Boix, Jin Wook Lee, Hongyang Li, Yuanfang Guan, Chun-Chieh Chang, Jen-Chien Chang, Alex Hawkins-Hooker, Bernhard Scholkopf, Gabriele Schweikert, Mateo Rojas Carulla, Arif Canakoglu, Francesco Guzzo, Luca Nanni, Marco Masseroli, Mark James Carman, Pietro Pinoli, Chenyang Hong, Kevin Y. Yip, Jeffrey P. Spence, Sanjit Singh Batra, Yun S. Song, Shaun Mahony, Zheng Zhang, Wuwei Tan, Yang Shen, Yuanfei Sun, Minyi Shi, Jessika Adrian, Richard Sandstrom, Nina Farrell, Jessica Halow, Kristen Lee, Lixia Jiang, Xinqiong Yang, Charles Epstein, J. Seth Strattan, Bradley Bernstein, Michael Snyder, Manolis Kellis, William Stafford, Anshul Kundaje
Summary: A promising alternative to conducting comprehensive genomics experiments is to perform a subset of experiments and use computational methods to impute the remaining data. However, determining the best imputation methods and meaningful performance evaluation measures remains an open question. In this study, we address these questions by comprehensively analyzing 23 methods from the ENCODE Imputation Challenge. Our findings indicate that imputation evaluations are challenging due to distributional shifts caused by differences in data collection and processing, the amount of available data, and redundancy among performance measures. Our analyses provide insights into overcoming these challenges and offer promising directions for more robust research.
Article
Health Care Sciences & Services
Ashkan Dehghani Zahedani, Arvind Veluvali, Tracey McLaughlin, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder
Summary: The use of continuous glucose monitoring (CGM) and wearables, together with a smartphone app and personalized recommendations, can improve blood glucose levels, reduce weight, and improve dietary habits, thereby enhancing the metabolic health of individuals with and without type 2 diabetes (T2D).
NPJ DIGITAL MEDICINE
(2023)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)