Rapid Copolymer Analysis of Unresolved Mass Spectra by Artificial Intelligence

Rapid Copolymer Analysis of Unresolved Mass Spectra by Artificial Intelligence

In this Article, we present a novel data analysis method for the determination of copolymer composition from low-resolution mass spectra, such as those recorded in the linear mode of time-of-flight (TOF) mass analyzers. Our approach significantly extends the accessible molecular weight range, enabli...

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Bibliographic Details
Main Author: Gergő Róth (11534005) (author)
Other Authors: Ákos Kuki (1968994) (author), Aron Kipyegon Rop (22194388) (author), Lajos Nagy (599803) (author), Zuura Kyzy Kaldybek (22194391) (author), Máté Benedek (16415665) (author), Miklós Zsuga (1968991) (author), Tibor Nagy (425445) (author), Sándor Kéki (1968988) (author)
Published: 2025
Subjects:
Medicine
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
various poly (<
spectrum evaluation process
average mole fraction
higher mass regions
copolymer structure including
two regression models
artificial neural network
>- poly (<
>- acryloylmorpholine )-<
unresolved mass spectra
resolution mass spectra
overlapping mass peaks
approach significantly extends
rapid copolymer analysis
unresolved peaks
mass analyzers
copolymer composition
regression relationships
artificial intelligence
>- pnipam
>- isopropylacrylamide
simplified approach
pnam -<
n </
monomer distribution
measured data
low resolution
linear mode
key characteristics
hidden information
comprehensive characterization
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