Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(12)
Published: Nov. 8, 2024
Language: Английский
Analytica—A Journal of Analytical Chemistry and Chemical Analysis, Journal Year: 2025, Volume and Issue: 6(1), P. 8 - 8
Published: March 1, 2025
GLANCE (Graphical Layout Tool for Analytical Chemistry Evaluation) is an innovative and adaptable free, editable template specifically designed to help researchers visually summarize their analytical chemistry methods in a structured clear manner. It provides accessible solution the challenge of presenting complex scientific data, offering significant advantage over traditional reporting methods, which often lack visual clarity. This crucial because no previous tool has been developed such comprehensive concise format, significantly enhancing process gathering key information, particularly review articles. The (bit.ly/409cwDd) composed twelve distinct attributes, each targeting critical aspects method development (novelty, analytes, sample preparation, reagents, instrumentation, validation, matrix effects recoveries, application real samples, metrics, main results, limitations, additional information). By filling out block with keywords or short phrases, authors can provide yet thorough overview method. Once completed, be easily downloaded included straightforward integration enhances both clarity accessibility publications, providing community quick snapshot principal features research.
Language: Английский
Citations
1
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: March 26, 2025
The violet innovation grade index (VIGI) is a pioneering metric designed to evaluate the degree of in analytical methods. This study introduces VIGI tool (https://bit.ly/VIGItool) and demonstrates its application assessing innovative potential various techniques. integrates ten distinct criteria─sample preparation instrumentation, data processing software, white chemistry derivatives, regulatory compliance, materials reagents, miniaturization, automation, interdisciplinarity, sensitivity, approach─providing comprehensive evaluation that complements existing green, blue, red metrics. Each method assessed using survey-based approach, resulting star-shaped decagon pictogram visually represents score. was successfully applied five case studies, revealing insights into strengths weaknesses each terms innovation. Methods incorporating advanced materials, miniaturized devices, automation scored highly, reflecting their cutting-edge contributions chemistry. Conversely, methods lacking or interdisciplinary applications lower, highlighting areas for improvement. work underscores importance prioritizing metrics like development ensure remains at forefront scientific advancement through more effective sustainable practices.
Language: Английский
Citations
1
TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 180, P. 117919 - 117919
Published: Aug. 17, 2024
Language: Английский
Citations
8
Langmuir, Journal Year: 2024, Volume and Issue: 40(6), P. 3260 - 3267
Published: Jan. 30, 2024
Graphitic-phase carbon nitride (g-C3N4) materials have exhibited increasingly remarkable performance as emerging electrochemiluminescence (ECL) emitters, owing to their unique optical and electronic properties; however, the ECL merits of porous g-C3N4 nanofibers doped with ternary metals are not yet explored. Deciphering properties trimetal-doped could provide an exquisite pathway for ultrasensitive sensing imaging impressive advantages minimal background signal, great sensitivity, durability. Herein, we rationally synthesized atomically Mn, Fe, Co elements (Mn/Fe/Co/g-C3N4) in a one-pot via protonation ethanol annealing process driven by rolling up mechanism. The without metal dopants was investigated compared standard Ru(bpy)32+ presence potassium persulfate (K2S2O8) coreactant. Notably, ions efficiency 483% that 4.83 times higher than Ru(bpy)32+. Mechanistic investigations unveiled possess large surface area and, result, exhibit reduced interfacial impedance within microstructure. These factors contribute acceleration charge transfer rates stabilization carriers excitons, ultimately facilitating process. This research endeavor may pave way new hot serves powerful tool elucidating fundamental inquiries on one-dimensional nanostructures.
Language: Английский
Citations
7
Journal of Chemical Information and Modeling, Journal Year: 2024, Volume and Issue: 64(10), P. 3992 - 4001
Published: May 13, 2024
Owing to the value of DNA-wrapped single-walled carbon nanotube (SWNT)-based sensors for chemically specific imaging in biology, we explore machine learning (ML) predictions DNA-SWNT serotonin sensor responsivity as a function DNA sequence based on whole SWNT fluorescence spectra. Our analysis reveals crucial role binding modes DNA-SWNTs serotonin, with smaller influence chirality. Regression ML models trained existing data sets predict change emission response ΔF/F, at over hundred wavelengths new conjugates, successfully identifying some high- and low-response sequences. Despite successful predictions, also show that finite size training set leads limitations prediction accuracy. Nevertheless, incorporating entire spectra into enhances robustness facilitates discovery novel sensors. approaches promise chemical systems sensing characteristics, marking valuable advancement DNA-based system discovery.
Language: Английский
Citations
7
Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(5)
Published: May 1, 2024
Language: Английский
Citations
6
Artificial Intelligence Chemistry, Journal Year: 2024, Volume and Issue: 2(2), P. 100075 - 100075
Published: July 27, 2024
The beginning and ripening of digital chemistry is analyzed focusing on the role artificial intelligence (AI) in an expected leap chemical sciences to bring this area next evolutionary level. analytic description selects highlights top 20 AI-based technologies 7 broader themes that are reshaping field. It underscores integration tools such as machine learning, big data, twins, Internet Things (IoT), robotic platforms, smart control processes, virtual reality blockchain, among many others, enhancing research methods, educational approaches, industrial practices chemistry. significance study lies its focused overview how these innovations foster a more efficient, sustainable, innovative future sciences. This article not only illustrates transformative impact but also draws new pathways chemistry, offering broad appeal researchers, educators, industry professionals embrace advancements for addressing contemporary challenges
Language: Английский
Citations
6
TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 117975 - 117975
Published: Sept. 1, 2024
Language: Английский
Citations
5
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 27, 2025
Gold nanoparticles (AuNPs) exhibit strong light absorption and scattering properties due to localized surface plasmon resonance, making them valuable tools in optical sensing imaging applications. Direct visual recognition of single AuNPs enables simple ultrasensitive detection. In this study, we report an approach for the detection quantification using dark-field microscopy images captured with a mobile phone camera. Deep learning was incorporated image analysis promote 120 nm concentrations ranging from 5.3 530 fM. Preprocessed were split into training testing data build two deep-learning models, i.e., classification regression. The model achieved perfect precision, recall, F1 score two-image input strategy, while regression demonstrated correlation coefficient 0.9999 between predicted actual concentrations. Blind tests 4 samples at different confirmed method's prediction accuracy, recovery rates 97-108%. This work presents simple, easily accessible, highly sensitive platform potential applications wide range tasks, leveraging accessibility cameras robustness deep techniques.
Language: Английский
Citations
0
Microchimica Acta, Journal Year: 2025, Volume and Issue: 192(4)
Published: March 13, 2025
Language: Английский
Citations
0