ArticleSe pu = Chinese journal of chromatography2025
[Undergraduate innovation training experiment: zooarchaeology by mass spectrometry for species identification of paleontological remnants].
Article in Se pu = Chinese journal of chromatography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- [Innovative undergraduate teaching practice integrating MassWorks mass spectrometry analysis technology with gas chromatography-low resolution mass spectrometry].Se pu = Chinese journal of chromatography · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Against the educational backdrop of deep interdisciplinary integration and empowering new models for cultivating composite talents, this innovative training experiment focuses on the hot interdisciplinary field of molecular archaeology, targeting the fragmented state of paleontological remains that do not have morphological identification characteristics and cannot be accurately identified for species. We developed a zooarchaeology by mass spectrometry (ZooMS) method based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), utilizing collagen peptide mass fingerprinting (PMF). This approach was successfully applied to species identification of late pleistocene fragmented paleontological samples. ZooMS offers significant advantages including operational simplicity, high identification accuracy, broad applicability, low testing costs, high-throughput analysis and stringent contamination control, making it highly valuable for species identification and the extraction of "hidden information" from fragmented paleontological remains. Through this innovation training experiment, we enhanced interdisciplinary collaboration between humanities and sciences, stimulated students' scientific thinking, and improved their research competencies, laying a solid foundation for cultivating interdisciplinary and innovative talents.
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Registered trials
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