{"id":472959,"date":"2026-04-02T11:20:16","date_gmt":"2026-04-02T09:20:16","guid":{"rendered":"https:\/\/www.unipi.it\/news\/aghi-sottopelle-unipi\/"},"modified":"2026-04-03T12:07:21","modified_gmt":"2026-04-03T10:07:21","slug":"under-the-skin-qr-codes","status":"publish","type":"news","link":"https:\/\/www.unipi.it\/en\/news\/under-the-skin-qr-codes\/","title":{"rendered":"Under-the-skin QR codes: tiny needles that reveal the body\u2019s chemistry in real time"},"content":{"rendered":"<p>Tiny digital needles can be inserted under the skin in a painless and minimally invasive way to <strong>detect real-time information about the body\u2019s biochemical state<\/strong>, such as glucose concentration, pH levels, or the presence of specific enzymes or proteins. <strong>The needles switch \u201con\u201d or \u201coff\u201d depending on the presence and concentration of the substance they are designed to detect, forming a QR code that can be scanned using a smartphone app<\/strong>. This makes it possible to immediately determine the concentration level of the target substance.<\/p>\n<p>This represents the latest frontier in precision medicine, developed in the laboratories of the Department of Information Engineering at the University of Pisa by the research team led by Giuseppe Barillaro. The study has been published in <em><a href=\"https:\/\/advanced.onlinelibrary.wiley.com\/doi\/full\/10.1002\/adma.202518935\/\">Advanced Materials<\/a><\/em>. Within the European project <a href=\"https:\/\/ec.europa.eu\/info\/funding-tenders\/opportunities\/portal\/screen\/opportunities\/projects-details\/43108390\/101257530?isExactMatch=true&amp;order=DESC&amp;pageNumber=1&amp;pageSize=50&amp;sortBy=title&amp;breadcrumb=hop-on\">ALERT<\/a>, coordinated by the University of Pisa, researchers are using microneedle technology <strong>to detect Alzheimer\u2019s biomarkers many years before the onset of symptoms<\/strong>.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-472040 size-full\" src=\"https:\/\/www.unipi.it\/wp-content\/uploads\/1-1.png\" alt=\"\" width=\"900\" height=\"600\" srcset=\"https:\/\/www.unipi.it\/wp-content\/uploads\/1-1.png 900w, https:\/\/www.unipi.it\/wp-content\/uploads\/1-1-300x200.png 300w, https:\/\/www.unipi.it\/wp-content\/uploads\/1-1-768x512.png 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>\u201cReal-time biochemical detection is essential for personalised and precision medicine,\u201d explains <strong>Giuseppe Barillaro<\/strong>, Professor of Electronic Engineering at the University of Pisa. \u201cHowever, current implantable biosensors are difficult to use for real-time monitoring in humans, as they require careful calibration and can typically detect only one parameter at a time. Our study instead proposes <strong>digital fluorescent microneedles arranged in multiple lines forming a matrix, each with only two possible states: on or off.<\/strong> Each needle has a different threshold value and <strong>switches on when it detects a concentration of the target substance above that threshold<\/strong> \u2014 for example glucose or pH. This eliminates the need for calibration. The resulting pattern of activated and deactivated needles forms a QR code that can be scanned via an app, providing direct information on the concentration of the substances being measured. Moreover, each needle can be designed to detect a different substance, making it possible to analyse multiple parameters simultaneously, such as glucose concentration and pH levels.\u201d<\/p>\n<p>\u201cThis digital encoding, which is more robust than current analogue methods,\u201d adds <strong>Farbod Abazar<\/strong>, PhD candidate and first author of the study, \u201ccan be widely extended to different probes and biomarkers. Within the ALERT project, we are developing it to detect Alzheimer\u2019s biomarkers \u2014 enzymes and proteins that may be present in the body up to twenty years before symptoms appear \u2014 enabling early and minimally invasive diagnosis and intervention. The project has just begun and involves, in addition to the University of Pisa, the company ab medica, the Charit\u00e9 University Hospital in Berlin, and the Universities of Modena and Reggio Emilia and Dublin.\u201d<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-472042 size-full\" src=\"https:\/\/www.unipi.it\/wp-content\/uploads\/2.png\" alt=\"\" width=\"902\" height=\"600\" srcset=\"https:\/\/www.unipi.it\/wp-content\/uploads\/2.png 902w, https:\/\/www.unipi.it\/wp-content\/uploads\/2-300x200.png 300w, https:\/\/www.unipi.it\/wp-content\/uploads\/2-768x511.png 768w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/p>\n<p><strong>The QR code generated by the microneedles provides a direct and quantitative representation of biochemical information<\/strong>, facilitating decentralised and wearable diagnostics and personalised medicine. The technology also offers<strong> broad potential for medical applications, including early diagnosis of cancer, sepsis and infectious diseases, as well as applications in environmental monitoring, precision agriculture and food safety<\/strong>.<\/p>\n<p>The company <em>ab medica<\/em>, which has long collaborated with researchers in Pisa, is ready to invest in this technology to bring it to market.<\/p>\n<p>\u201cFor ab medica,\u201d says Cosimo Puttili, Director of Research and Innovation, \u201cALERT represents the natural evolution of a scientific collaboration that began more than three years ago with Professor Barillaro\u2019s team. We are ready to invest our expertise and resources to transform this technology into a truly innovative product for prevention and care.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Electronic engineers at the University of Pisa have developed technology that enables the real-time detection of Alzheimer\u2019s biomarkers, present many years before symptoms appear<\/p>\n","protected":false},"featured_media":472041,"menu_order":4,"template":"","format":"standard","meta":[],"tag-notizie-persone":[4320,4319],"tags_news":[1224,2305],"categorie":[159],"class_list":["post-472959","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","tag-notizie-persone-farbod-abazar-hosseinpour-179124","tag-notizie-persone-giuseppe-barillaro-3996","tags_news-department-of-information-engineering","tags_news-research-en","categorie-unipinews-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - 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