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Updated: Feb 24, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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SERS超スペクトルと機械学習によるタンパク質定量法の改善

Jiaheng Cui1, Chenyao Feng2, Xulan Chen3

  • 1School of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States.

ACS omega
|February 23, 2026
PubMed
まとめ

この研究は、定量的なタンパク質分析を改善するために、表面増強ラマン分光法（SERS）の新しい超スペクトルフレームワークを導入する。多様な表面からのシグナルを組み合わせることで、研究者らは吸着問題に対処し、より正確なタンパク質定量を実現した。

キーワード:
表面増強ラマン分光法超スペクトルタンパク質定量機械学習吸着表面化学

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Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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