携帯電話のコンパスで健康に重要な化合物の微量濃度を測定(NIST Researchers Use Cellphone Compass to Measure Tiny Concentrations of Compounds Important for Human Health)

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2024-04-01 米国国立標準技術研究所(NIST)

スマートフォンに組み込まれた磁気コンパスによって、糖尿病の重要なマーカーであるグルコースだけでなく、他の分子やバイオマーカーも測定できるようになった。NISTの研究者たちは、この磁気粒子を多孔質材料に追加し、これらの分子の存在に反応して材料を膨張させたり収縮させたりする。これらの磁性材料を携帯電話のコンパスと組み合わせることで、疾患の診断や環境毒素の検出が可能になる可能性がある。この手法は、低コストで迅速に多くの生体医学的特性を測定することができ、将来的には唾液中のグルコースの定期的な検査を可能にするかもしれない。

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スマートフォンのコンパスを用いた液体分析物の定量的高感度測定 Quantitative, high-sensitivity measurement of liquid analytes using a smartphone compass

Mark Ferris & Gary Zabow
Nature Communications  Published:30 March 2024
DOI:https://doi.org/10.1038/s41467-024-47073-2

携帯電話のコンパスで健康に重要な化合物の微量濃度を測定(NIST Researchers Use Cellphone Compass to Measure Tiny Concentrations of Compounds Important for Human Health)

Abstract

Smartphone ubiquity has led to rapid developments in portable diagnostics. While successful, such platforms are predominantly optics-based, using the smartphone camera as the sensing interface. By contrast, magnetics-based modalities exploiting the smartphone compass (magnetometer) remain unexplored, despite inherent advantages in optically opaque, scattering or auto-fluorescing samples. Here we report smartphone analyte sensing utilizing the built-in magnetometer for signal transduction via analyte-responsive magnetic-hydrogel composites. As these hydrogels dilate in response to targeted stimuli, they displace attached magnetic material relative to the phone’s magnetometer. Using a bilayer hydrogel geometry to amplify this motion allows for sensitive, optics-free, quantitative liquid-based analyte measurements that require neither any electronics nor power beyond that contained within the smartphone itself. We demonstrate this concept with glucose-specific and pH-responsive hydrogels, including glucose detection down to single-digit micromolar concentrations with potential for extension to nanomolar sensitivities. The platform is adaptable to numerous measurands, opening a path towards portable, inexpensive sensing of multiple analytes or biomarkers of interest.

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