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May 7, 2026npj Biosensing0 citationsOpen Access

Porous silicon electrochemical biosensor for non-invasive monitoring of lactation biomarkers

RSRaquel Sánchez‐SalcedoNVNicolas H. Voelcker

Key Points

  • This research aims to develop porous silicon-based biosensors for detecting biomarkers in breast milk to improve maternal and infant health.
  • Designed and fabricated two electrochemical biosensors: an aptamer-based sensor for insulin and oligonucleotide-functionalized sensors for microRNAs.
  • Characterized each sensor’s sensing performance, stability, and specificity using human breast milk samples from healthy volunteers.
  • Measured limit of detection for insulin at 8.7 pM and for microRNAs at 60 and 70 pM.
  • Aptamer-based sensor achieved specific detection for insulin with a LOD of 8.7 pM and showed good stability.
  • Oligonucleotide-functionalized sensors demonstrated high selectivity and sensitivity for microRNA targets with LODs in the picomolar range (60 and 70 pM).
  • Both biosensors successfully detected insulin and miRNAs in human breast milk samples.

Abstract

The ability to monitor the level of key biomarkers in human breast milk holds considerable potential to improve maternal and infant health outcomes. In particular, enabling the early diagnosis of conditions such as low milk production during lactation in women. Porous silicon (pSi) represents a promising sensor material owing to its tunable properties, large specific surface area, and intrinsic biocompatibility. Here, we report the design, fabrication, and characterization of two pSi-based electrochemical biosensing approaches as proof-of-concept platforms for the detection of clinically relevant biomarkers in breast milk. The first system is an aptamer-based sensor for insulin detection, while the second design consists of oligonucleotide-functionalized sensors for the detection of two microRNAs. The aptasensor exhibited specific insulin detection ability, achieving a limit of detection (LOD) of 8.7 pM and demonstrating good sensing performance and stability. The oligonucleotide-based sensors showed strong selectivity and good sensitivity for their respective microRNA targets, with LOD values in the picomolar range (60 and 70 pM). Furthermore, both biosensor designs confirmed their capability to detect insulin and miRNAs spiked into human breast milk samples collected from healthy volunteers. These findings establish a foundation for the development of pSi-based biosensors aimed at breast milk profiling, offering new opportunities for maternal and infant health monitoring and lactation management.

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Cite This Study

Sánchez‐Salcedo et al. (2026) studied this question.

synapsesocial.com/papers/69fc2b608b49bacb8b347870https://doi.org/10.1038/s44328-026-00085-y
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