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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المؤلف الرئيسي:	Gergő Róth (11534005) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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 block </ b </ ann ).
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Rapid Copolymer Analysis of Unresolved Mass Spectra by Artificial Intelligence

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