ChatGPT chemistry assistant for text mining and the prediction of MOF synthesis
We use prompt engineering to guide ChatGPT in the automation of text mining of metal–
organic framework (MOF) synthesis conditions from diverse formats and styles of the …
organic framework (MOF) synthesis conditions from diverse formats and styles of the …
Characterisation of atmospheric organic aerosols with one-and multidimensional liquid chromatography and mass spectrometry: State of the art and future …
S Hildmann, T Hoffmann - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Aerosol particles are important components of the Earth's atmosphere and affect air quality
and climate. They are small enough to penetrate deep into human lungs and are associated …
and climate. They are small enough to penetrate deep into human lungs and are associated …
Theoretical modeling and machine learning-based data processing workflows in comprehensive two-dimensional gas chromatography—A review
In recent years, comprehensive two-dimensional gas chromatography (GC× GC) has been
gradually gaining prominence as a preferred method for the analysis of complex samples …
gradually gaining prominence as a preferred method for the analysis of complex samples …
Characterizing PM2.5 Emissions and Temporal Evolution of Organic Composition from Incense Burning in a California Residence
The chemical composition of incense-generated organic aerosol in residential indoor air has
received limited attention in Western literature. In this study, we conducted incense burning …
received limited attention in Western literature. In this study, we conducted incense burning …
Data‐Driven Compound Identification in Atmospheric Mass Spectrometry
Aerosol particles found in the atmosphere affect the climate and worsen air quality. To
mitigate these adverse impacts, aerosol particle formation and aerosol chemistry in the …
mitigate these adverse impacts, aerosol particle formation and aerosol chemistry in the …
Anthropogenic and biogenic contributions to the organic composition of coastal submicron sea spray aerosol
The organic composition of coastal sea spray aerosol is important for both atmospheric
chemistry and public health but remains poorly characterized. Coastal waters contain an …
chemistry and public health but remains poorly characterized. Coastal waters contain an …
A machine learning model for predicting composition of catalytic coprocessing products from molecular beam mass spectra
Demand for the development of an automated and integrated refining process for biofuels
has increased in recent years due to the lack of generalized process inspection tools. In bio …
has increased in recent years due to the lack of generalized process inspection tools. In bio …
Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning
Chemical ionization mass spectrometry (CIMS) is widely used in atmospheric chemistry
studies. However, due to the complex interactions between reagent ions and target …
studies. However, due to the complex interactions between reagent ions and target …
Systematic characterization of unknown compounds via dimensionality reduction of time series
S Kim, LD Yee, AH Goldstein… - Aerosol Science and …, 2024 - Taylor & Francis
Abstract Analysis of ambient aerosols provides valuable insight into particle sources and
formation chemistry. However, due to the complexity of atmospheric data and the dynamic …
formation chemistry. However, due to the complexity of atmospheric data and the dynamic …
Electrochemical deposition of HSA on Ag electrode for its quantitative determination using SERS and machine learning
IA Boginskaya, EA Slipchenko, RR Safiullin… - Sensors and Actuators A …, 2024 - Elsevier
A method for the electrochemical deposition of the protein human serum albumin (HSA) from
0.01–10 g L− 1 solutions is proposed for its quantitative nonlabelled determination using a …
0.01–10 g L− 1 solutions is proposed for its quantitative nonlabelled determination using a …