Hand-Held Electrostatic Spray Ionization Mass Spectrometry Enables On-Site Metabolomic Analysis of <i>Sophora japonica</i> and <i>Robinia pseudoacacia</i>
extracts in negative-ion mode, and a neural network model distinguished the two groups with an accuracy of 83.3%. These results support HESSI as a compact and sample-efficient platform for the rapid mass-spectrometric characterization of botanical materials.
Authors
- Zhihao Ye (ORCID: https://orcid.org/0009-0004-6045-2495)
- Xiaoyi Liu (ORCID: https://orcid.org/0000-0001-7406-7732)
- Zongxiu Nie (ORCID: https://orcid.org/0000-0001-8514-6348)
- Yuze Li (ORCID: https://orcid.org/0000-0001-7155-6856)
- Buyin Shi
- Haiyan Luo (ORCID: https://orcid.org/0000-0001-8786-7456)
- Mengyang Song
- Zhenyang Ji
- Q Yang
Institutions
- Ningxia University (CN)
- Green Chemistry (PL)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2026-07-27
- DOI
- https://doi.org/10.1021/acs.jafc.6c03868
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Ningxia Province