PXD067516
PXD067516 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Supporting data for manuscript: A modified fully automated dried blood spot sample preparation system and its application in steroid esters detection |
| Description | This project focuses on developing an efficient and sensitive method for detecting steroid esters in dried blood spots (DBS) to support anti-doping efforts. By optimizing a fully automated DBS processing system with an independent desorption pump, we established a high-throughput screening method for 30 steroid esters and a confirmatory method for 26 targets using HPLC-HRMS. The method demonstrates low detection limits (as low as 0.05 ng/mL) and good reproducibility (RSD < 15%), and its performance was validated through blind samples, administration studies, and comparison with traditional IRMS. This approach provides a practical solution for rapid and accurate screening and confirmation of steroid esters, enhancing anti-doping capabilities. |
| HostingRepository | iProX |
| AnnounceDate | 2025-08-20 |
| AnnouncementXML | Submission_2025-08-19_23:45:17.542.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Jing Jing |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive HF-X |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-08-19 23:44:08 | ID requested | |
| ⏵ 1 | 2025-08-19 23:45:17 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: dried blood spot |
| full automated analysis |
| steroid esters |
| doping testing |
| liquid chromatography–mass spectrometry |
Contact List
| Xu Xin | |
|---|---|
| contact affiliation | Shanghai University of Sport |
| contact email | xuxin@sus.edu.cn |
| lab head | |
| Jing Jing | |
| contact affiliation | Shanghai University of Sport |
| contact email | jing983699678@163.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |




