Newborn disease screening increases survival, improves quality of life and reduces treatment costs for healthcare systems. Mass spectrometry (MS) is an effective but expensive method for newborn  screening.  Ambient  Ionization  Mass  Spectrometry  (AIMS)  offers  the  possibility  of reducing costs by simplifying sample processing. Existing automated AIMS platforms are mainly designed for imaging or samples that require multiple processing steps. In 2019, we developed an  open-source  platform  for  high-throughput  analysis  using  AIMS  techniques.  The  ‘Open LabBot’ was designed for either imaging or for automated management of multiple samples, but it was not capable of handling several samples deposited on paper. In this work, we adapted our platform  to  automatically  analyze  a  larger  number  of paper-deposited  samples  via  Paper-Spray Mass Spectrometry (PS-MS). Newborn screening  blood samples are  collected on paper cards, and therefore, PS-MS is ideal for  handling  samples  deposited  on  paper. Our system is controlled using Rumba32 and Arduino Mega boards. Solvent application and electrical current, which  are  required  for  PS-MS,  were  facilitated  by  a  commercial  syringe  pump  and  power supply. The ’Open SprayBot’ was validated for palmitoyl-L-carnitine, a common biomarker used in newborn screening.

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