A dual-dimensional deconvolution environment for ZT Scan DIA in metabolomics
Yuki Matsuzawa, Kanako Tokiyoshi, Bujinlkham Buyantogtokh, Takaki Oka, Rana Yamamoto, Lu Deng, Gordana Ivosev, David Cox, Paul R.S. Baker, Anjali Chelur, Nic Bloomfield, Manami Takeuchi, Ushio Takeda, Mikiko Takahashi, Mayu Hasegawa, , Hiroshi Tsugawa
The paper introduces ZT Scan DIA, a metabolomics method improving annotation rates and isomer quantification in complex mixtures, with results validated in human plasma and mouse liver tissues.
bioRxiv · Aug 20, 2025 · PreprintBioengineering