Point-of-care biomarker quantification enabled by sample-specific calibration

Monica P. McNerney, Yan Zhang, Paige Steppe, Adam D. Silverman, Michael C. Jewett, Mark P. Styczynski*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

58 Scopus citations


Easy-to-perform, relatively inexpensive blood diagnostics have transformed at-home healthcare for some patients, but they require analytical equipment and are not easily adapted to measuring other biomarkers. The requirement for reliable quantification in complex sample types (such as blood) has been a critical roadblock in developing and deploying inexpensive, minimal-equipment diagnostics. Here, we developed a platform for inexpensive, easy-to-use diagnostics that uses cell-free expression to generate colored readouts that are visible to the naked eye, yet quantitative and robust to the interference effects seen in complex samples. We achieved this via a parallelized calibration scheme that uses the patient sample to generate custom reference curves. We used this approach to quantify a clinically relevant micronutrient and to quantify nucleic acids, demonstrating a generalizable platform for low-cost quantitative diagnostics.

Original languageEnglish (US)
Article numbereaax4473
JournalScience Advances
Issue number9
StatePublished - Sep 25 2019

ASJC Scopus subject areas

  • General


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