ACS Measurement Science Au最新文献

{"title":"","authors":"Sungsoo Kim, Moon Sik Shin, Seonghoon Hong, Janghyuk Moon, Seungbum Jo* and Keunhong Jeong*, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":4.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.5c00026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144355178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"Yapeng Yuan, Chaoyang Lyu, Nobutoshi Ota, Ming Li, Cheng Lei, Yoichiroh Hosokawa, Yo Tanaka, Yang Yang* and Yaxiaer Yalikun*, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":4.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144355180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simple and Effective HPLC Method for Elucidating Glycerol Oxidation Products","authors":"Eva Ng,&nbsp;Camilo A. Mesa*,&nbsp;Elena Mas-Marzá and Sixto Giménez*,&nbsp;","doi":"10.1021/acsmeasuresciau.5c0002410.1021/acsmeasuresciau.5c00024","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00024https://doi.org/10.1021/acsmeasuresciau.5c00024","url":null,"abstract":"<p >The glycerol electrooxidation reaction (GEOR) has been gaining increasing attention as a substitute for the oxygen evolution reaction to improve H₂ production while producing high-value-added products. During GEOR, several C₃, C₂, and C₁ species can be generated, making the detection and quantification of all these products a complex challenge that has not been fully addressed yet. Our study describes the development and optimization of a simple high-performance liquid chromatography (HPLC) method, capable not only of detecting but also simultaneously quantifying eight different GEOR products using a single diode array detector (DAD). To address possible overlapping signals, an indirect quantification approach is also proposed. The optimized method has been applied to real electrochemical GEOR systems, employing a Ni foil in alkaline media or a Pt foil in acidic media as oxidation electrocatalysts. Results show how product distributions varied significantly along with the pH, with formate being the main product in alkaline conditions (∼68% selectivity), whereas glyceraldehyde and dihydroxyacetone were the major products in acidic conditions (∼40% and ∼26%, respectively).</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"367–377 367–377"},"PeriodicalIF":4.6,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.5c00024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144305759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum Chemical Mass Spectral Predictions of Novichok Agents after Experimental Validation and Analysis","authors":"Sungsoo Kim,&nbsp;Moon Sik Shin,&nbsp;Seonghoon Hong,&nbsp;Janghyuk Moon,&nbsp;Seungbum Jo* and Keunhong Jeong*,&nbsp;","doi":"10.1021/acsmeasuresciau.5c0002610.1021/acsmeasuresciau.5c00026","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00026https://doi.org/10.1021/acsmeasuresciau.5c00026","url":null,"abstract":"<p >The identification of chemical warfare agents, particularly Novichok variants, presents significant challenges due to the inherent dangers and practical limitations of experimental analysis. This study advances a computational approach using quantum chemistry electron ionization mass spectrometry (QCxMS, x = EI) to predict the electron ionization mass spectra (EIMS) of these compounds. We obtained experimental mass spectral data from three synthesized Novichok compounds, providing a crucial benchmark for validating computational predictions. Through systematic comparison of the experimental and predicted spectra, we evaluated how the incorporation of additional polarization functions and expanded valence space in basis sets influences prediction accuracy. Our investigation demonstrated that more complete basis sets yielded significantly improved matching scores across seven compounds while maintaining consistent functional parameters for ionization potential (IP) calculations. Comprehensive analysis of mass spectral patterns revealed distinct correlations between the molecular structure and fragmentation behavior. We identified characteristic patterns in both high and low <i>m</i>/<i>z</i> regions that correspond to specific structural features, enabling the development of a systematic framework for spectral interpretation. This understanding of the fragmentation mechanisms allowed for the prediction of mass spectra for four additional compounds with varying structural complexity. The strong correlation between the predicted and experimental results for the synthesized compounds validates this computational approach as a promising tool for the rapid identification of new chemical agents without requiring extensive experimental analysis. This methodology represents a significant advancement in our ability to identify and characterize emerging chemical threats while minimizing exposure risks to research personnel.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"378–387 378–387"},"PeriodicalIF":4.6,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.5c00026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144305900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical Signal-Off Competitive Immunoassay of Chromogranin A toward a Sandwiched Graphene Oxide Structure for Neuroendocrine Tumor Detection","authors":"Supakeit Chanarsa,&nbsp;Patrawadee Yaiwong,&nbsp;Siriporn Anuthum,&nbsp;Kullapa Chanawanno,&nbsp;Jaroon Jakmunee and Kontad Ounnunkad*,&nbsp;","doi":"10.1021/acsmeasuresciau.5c0004810.1021/acsmeasuresciau.5c00048","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00048https://doi.org/10.1021/acsmeasuresciau.5c00048","url":null,"abstract":"<p >Neuroendocrine tumors (NETs), often misdiagnosed and mistreated, require early detection for precise therapeutic interventions. This study presents a newly developed competitive electrochemical immunosensor for sensitive and selective detection of chromogranin A (CgA), a key biomarker for diagnosing and monitoring NETs. The sensor, featuring a sandwiched structure with versatile and multifunctional graphene oxide (GO), utilizes polyethylenimine-capped gold nanoparticles (PEI-AuNPs) to enhance the electroreactivity and biocompatibility of a screen-printed electrode (SPE). The immunosensor operates by immobilizing standard CgA antigens on the PEI-AuNPs/GO-modified SPE surface and employing GO nanotags loaded with anti-CgA antibodies (Ab) and ferrocene monocarboxylic acid (Fc) redox probes to capture target CgA. As the CgA concentration increases, the current response of the immunosensor decreases due to a reduction in the amount of Fc/Ab/GO tags on the electrode surface. This reduction occurs because the nanotags bind to the free CgA in the sample rather than the CgA immobilized on the electrode. The immunosensor demonstrates a good linearity (0.10–50 ng mL^–1), a low detection limit of 90 pg mL^–1, and high accuracy in detecting CgA levels in human serum samples. With its high specificity, long-term stability, and excellent reproducibility, our cost-effective and user-friendly platform holds promise for clinical screening and point-of-care diagnosis of NETs. Further optimization of the immunosensor’s design and exploration of its use for additional biomarkers could enhance NETs’ diagnosis and provide advancements in managing other related health conditions.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"388–396 388–396"},"PeriodicalIF":4.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.5c00048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144305872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical Measurement of Freeze-Thaw Cycle Impact on Sarcoplasmic Oxidation in Beef","authors":"Silan Bhandari,&nbsp;Sachinthani A Devage,&nbsp;Rishav Kumar,&nbsp;Ranjith Ramanathan* and Sadagopan Krishnan*,&nbsp;","doi":"10.1021/acsmeasuresciau.4c0009510.1021/acsmeasuresciau.4c00095","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.4c00095https://doi.org/10.1021/acsmeasuresciau.4c00095","url":null,"abstract":"<p >Repeated freezing and thawing (F-T) of meat, a common practice in home kitchens, markets, and transportation, reduces meat quality due to wide temperature fluctuations. This study presents the electrochemical analysis of oxidation in beef longissimus lumborum muscle sarcoplasm under repeated F-T cycles, which differs from prior reports that focused on other related meat aspects, such as discoloration, adulteration, freshness, and antibiotic detection. Moreover, comparing the complexity of meat extract analysis using certain spectral methods, such as Raman, NMR, FTIR, and expensive mass spectrometry, electrochemical methods offer simplicity, speed, and cost-effectiveness. Increased current responses at specific peaks (0.82 ± 0.01 V and −0.25 ± 0.01 V vs Ag/AgCl) correlated strongly (<i>r</i> = 0.99, <i>p</i> &lt; 0.01) with elevated metmyoglobin content, which is responsible for the discoloration or brown color of meat, validated by spectrophotometry. Frozen sarcoplasm (day 3) exhibited significantly higher currents and metmyoglobin levels (<i>p</i> &lt; 0.01) compared to fresh sarcoplasm (day 0), indicating biochemical changes during F-T cycles. Electrocatalytically accessed redox signals of purified beef myoglobin confirmed the contributions from the rapid oxidation of myoglobin, as well as other meat sarcoplasmic proteins. This research introduces a portable, cost-effective electrochemical tool for point-of-need monitoring of meat oxidation under various practical, experimental, and environmental conditions. Future research could focus on obtaining insights into biochemical changes in longissimus lumborum sarcoplasm during frozen storage and developing strategies to mitigate the effects of F-T cycles on meat quality.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"287–293 287–293"},"PeriodicalIF":4.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.4c00095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144305674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"Marcella Barbera,&nbsp;Sara Gariglio,&nbsp;Cristina Malegori*,&nbsp;Paolo Oliveri,&nbsp;Filippo Saiano,&nbsp;Riccardo Scalenghe and Daniela Piazzese,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 2","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":4.6,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144346870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"Marlene H. Hill,&nbsp;Gabriel N. Meloni,&nbsp;Bruno G. Frenguelli and Patrick R. Unwin*,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 2","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":4.6,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144346878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"A. Narváez*,&nbsp;J. Jiménez,&nbsp;M. Rodríguez-Núñez,&nbsp;M. Torre,&nbsp;E. Carro,&nbsp;M.-P. Marco and E. Domínguez,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 2","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":4.6,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144346874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding Sensitivity in Nanoscale Sensing Devices","authors":"Dominik Duleba*,&nbsp;Adria Martínez-Aviñó,&nbsp;Andriy Revenko and Robert P. Johnson*,&nbsp;","doi":"10.1021/acsmeasuresciau.5c0002310.1021/acsmeasuresciau.5c00023","DOIUrl":"https://doi.org/10.1021/acsmeasuresciau.5c00023https://doi.org/10.1021/acsmeasuresciau.5c00023","url":null,"abstract":"<p >In nanoscale sensors, understanding and predicting sensor sensitivity is challenging as the physical phenomena that govern the transduction mechanism are often highly nonlinear and highly coupled. The sensitivity of a sensor is related to both the magnitude of the analyte-caused signal change and the random error-caused fluctuation of the sensor’s output. The extent to which these can be controlled, by carefully designing either the geometric or operating conditions of the sensor, determines the difference in signal output between the presence and absence of the analyte, as well as the impact of random errors on the distribution of these signal outputs. Herein, we use ion-current-rectifying nanopore sensors as a simplified case study to show how geometric and operating parameters can enable sensitivity optimization. Finite element analysis is used to obtain distributions of the sensor output, and then, Sobol analysis is used to highlight the most important contributions to sensor output errors. Furthermore, the magnitude of the signal change is considered alongside the spread of the output to calculate and optimize the sensor sensitivity. We highlight that the most important parameters contributing to the output variance are geometric. We observed that as the sensor is operated at smaller pore radii and lower electrolyte concentrations, the influence of the cone angle errors increases, the influence of the pore radius errors decreases, and the output becomes broader. We also show that the highest sensitivity is expected for larger pores operated at low electrolyte concentrations, and our simulation results are validated by experimental results. Recommendations to achieve optimum sensitivity are given for a range of nanopore scenarios in which ion-rectifying nanopore sensors may be used. This work aims to provide a framework for the nanoscale community to optimize sensitivity using simulations, as the analysis highlighted herein is viable for any system that can be modeled using continuum physics.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"5 3","pages":"353–366 353–366"},"PeriodicalIF":4.6,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.5c00023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144305622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}