ArticleAnalytical chemistry2025
Phenotyping and Selection of Cells Using Mass Spectrometry and a Microfluidic Droplet Printer.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- Machine vision-enabled ODThe Analyst · 2026Article
- Integrated Microfluidic Chip Enabling Preparation and Immobilization of Cell-Laden Microspheres, and Microsphere-Based Cell Culture and Analysis.Biosensors · 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
5 authors.
Funding
Abstract
Biotechnology is increasingly relying on high-throughput experiments in which large populations of cells are phenotyped and selected based on performance, e.g., for producing a desired product. Droplet microfluidics enables high-throughput screening, and as such, it lends itself ideally to such experiments, but reliance on a fluorescent readout is limiting. Herein, we report a system integrating droplet electrospray ionization-mass spectrometry (ESI-MS) with a microfluidic voltage-mediated droplet printer to enable online analysis and capture of cell-containing aqueous droplets, ultimately offering the possibility for label-free phenotyping and selection of cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.