[ { "id": "authors:qp0pw-qar81", "collection": "authors", "collection_id": "qp0pw-qar81", "cite_using_url": "https://authors.library.caltech.edu/records/qp0pw-qar81", "type": "article", "title": "Continuous biochemical profiling of the gastrointestinal tract using an integrated smart capsule", "author": [ { "family_name": "Min", "given_name": "Jihong", "orcid": "0000-0002-5788-1473", "clpid": "Min-Jihong" }, { "family_name": "Ahn", "given_name": "Hyunah", "orcid": "0000-0002-6345-8559", "clpid": "Ahn-Hyunah" }, { "family_name": "Lukas", "given_name": "Heather", "orcid": "0000-0002-8160-9066", "clpid": "Lukas-Heather-Lauren" }, { "family_name": "Ma", "given_name": "Xiaotian", "orcid": "0009-0000-8357-9916", "clpid": "Ma-Xiaotian" }, { "family_name": "Bhansali", "given_name": "Rinni", "orcid": "0000-0001-6518-5964", "clpid": "Bhansali-Rinni" }, { "family_name": "Sunwoo", "given_name": "Sung-Hyuk", "orcid": "0000-0002-3925-1275", "clpid": "Sunwoo-Sung-Hyuk" }, { "family_name": "Wang", "given_name": "Canran", "clpid": "Wang-Canran" }, { "family_name": "Xu", "given_name": "Yadong", "orcid": "0000-0001-8885-6433", "clpid": "Xu-Yadong" }, { "family_name": "Yao", "given_name": "Dickson R.", "orcid": "0009-0004-8894-8951", "clpid": "Yao-Dickson-Richard" }, { "family_name": "Kim", "given_name": "Gwangmook", "orcid": "0000-0002-7469-408X", "clpid": "Kim-Gwangmook" }, { "family_name": "Li", "given_name": "Zhaoping" }, { "family_name": "Hsiai", "given_name": "Tzung K." }, { "family_name": "Emami", "given_name": "Azita", "orcid": "0000-0002-6945-9958", "clpid": "Emami-A" }, { "family_name": "Jung", "given_name": "Hee-Tae", "orcid": "0000-0002-5727-6732" }, { "family_name": "Gao", "given_name": "Wei", "orcid": "0000-0002-8503-4562", "clpid": "Gao-Wei" } ], "abstract": "The gastrointestinal tract contains a wealth of chemical information that can be used to decipher the health of the digestive and nervous systems. Traditional methods of analysis, such as faecal analysis and biopsies, are invasive, costly and incapable of providing real-time metabolic and hormone profiling across the gastrointestinal tract. Commercial ingestible capsule sensors have been developed, but only monitor basic markers, such as pH and pressure, neglecting detailed chemical analysis. Here we report an integrated smart capsule that can simultaneously detect a spectrum of biochemical markers, including electrolytes, metabolites and hormones. The capsule, which is termed PillTrek, is 7\u2009mm in diameter and 25\u2009mm in length, and houses a miniaturized wireless electrochemical workstation capable of executing a range of electrochemical measurement techniques (potentiometry, amperometry, voltammetry and impedimetry), allowing it to interface with a variety of electrochemical sensors and detect various parameters in the gut. Using an array of sensors (serotonin, glucose, pH, ionic strength and temperature), we illustrate the capabilities of the system in vitro and in vivo in animal studies involving rat and rabbit models, monitoring the dynamic profile of these crucial biomarkers and their responsiveness to different dietary intakes.", "doi": "10.1038/s41928-025-01407-0", "issn": "2520-1131", "publisher": "Nature Publishing Group", "publication": "Nature Electronics", "publication_date": "2025-09", "volume": "8", "pages": "844\u2013855" }, { "id": "authors:d937q-w6k63", "collection": "authors", "collection_id": "d937q-w6k63", "cite_using_url": "https://authors.library.caltech.edu/records/d937q-w6k63", "type": "article", "title": "A microfluidic wearable device for wound exudate management and analysis in human chronic wounds", "author": [ { "family_name": "Wang", "given_name": "Canran", "orcid": "0000-0003-3297-9041", "clpid": "Wang-Canran" }, { "family_name": "Fan", "given_name": "Kexin", "orcid": "0000-0003-3818-5891", "clpid": "Fan-Kexin" }, { "family_name": "Shirzaei Sani", "given_name": "Ehsan", "orcid": "0000-0002-4609-1505", "clpid": "Shirzaei-Sani-Ehsan" }, { "family_name": "Lasalde-Ram\u00edrez", "given_name": "Jos\u00e9 A.", "orcid": "0000-0003-2834-3120", "clpid": "Lasalde-Ramirez-Jose-A" }, { "family_name": "Heng", "given_name": "Wenzheng", "orcid": "0009-0009-5278-0727", "clpid": "Heng-Wenzheng" }, { "family_name": "Min", "given_name": "Jihong", "orcid": "0000-0002-5788-1473", "clpid": "Min-Jihong" }, { "family_name": "Solomon", "given_name": "Samuel A.", "orcid": "0000-0001-7199-6659", "clpid": "Solomon-Samuel-Aaron" }, { "family_name": "Wang", "given_name": "Minqiang", "orcid": "0000-0002-7775-8341", "clpid": "Wang-Minqiang" }, { "family_name": "Li", "given_name": "Jiahong", "orcid": "0000-0001-7938-9589", "clpid": "Li-Jiahong" }, { "family_name": "Han", "given_name": "Hong", "orcid": "0000-0002-2852-8662", "clpid": "Han-Hong" }, { "family_name": "Kim", "given_name": "Gwangmook", "orcid": "0000-0002-7469-408X", "clpid": "Kim-Gwangmook" }, { "family_name": "Shin", "given_name": "Soyoung", "orcid": "0009-0002-3210-6427", "clpid": "Shin-Soyoung" }, { "family_name": "Seder", "given_name": "Alex", "clpid": "Seder-Alex" }, { "family_name": "Shih", "given_name": "Chia-Ding", "orcid": "0000-0001-9203-1899" }, { "family_name": "Armstrong", "given_name": "David G.", "orcid": "0000-0003-1887-9175" }, { "family_name": "Gao", "given_name": "Wei", "orcid": "0000-0002-8503-4562", "clpid": "Gao-Wei" } ], "abstract": "

Chronic wounds are a major global health challenge associated with substantial economic burden and a negative impact on patient quality of life. Real-time analysis of biomarkers like reactive oxygen and nitrogen species could guide treatment, but existing systems lack the capacity required for continuous monitoring. Wound exudate is secreted slowly and has a complex composition, making efficient fluid collection and real-time analysis challenging. To address these issues, we introduce iCares, a wearable device for wound exudate management and continuous in situ analysis of wound biomarkers. iCares contains a flexible nanoengineered sensor array that measures reactive species such as NO, H2O2, and O2, along with pH and temperature, providing multiparameter data to inform wound status. The device features pump-free triad microfluidic modules with a superhydrophobic-superhydrophilic Janus membrane, bioinspired wedge channels, and three-dimensional graded micropillars for efficient unidirectional exudate collection, transport, and refreshing. The sensors demonstrated a consistent response and analyte selectivity in vitro and in wound exudate. iCares was designed for rapid scalable manufacturing through advanced printing and laser patterning. Wireless connectivity supported long-term continuous monitoring in wounds. The iCares system real-time monitoring was tested in a murine model of diabetic skin wound during infection and antimicrobial treatment. Clinical wound evaluation was conducted in 20 patients with chronic wounds and in two patients before and after surgery. A machine learning analysis of the multiplexed data successfully classified wounds and healing times, indicating that wound exudate analysis by iCares could offer insight into chronic wound status to aid in treatment decisions.

", "doi": "10.1126/scitranslmed.adt0882", "issn": "1946-6234", "publisher": "American Association for the Advancement of Science", "publication": "Science Translational Medicine", "publication_date": "2025-04", "series_number": "795", "volume": "17", "issue": "795", "pages": "eadt0882" }, { "id": "authors:gc4hz-3h361", "collection": "authors", "collection_id": "gc4hz-3h361", "cite_using_url": "https://authors.library.caltech.edu/records/gc4hz-3h361", "type": "article", "title": "3D-printed epifluidic electronic skin for machine learning\u2013powered multimodal health surveillance", "author": [ { "family_name": "Song", "given_name": "Yu", "orcid": "0000-0002-4185-2256", "clpid": "Song-Yu" }, { "family_name": "Tay", "given_name": "Roland Yingjie", "orcid": "0000-0002-3341-0984", "clpid": "Tay-Roland-Yingjie" }, { "family_name": "Li", "given_name": "Jiahong", "clpid": "Li-Jiahong" }, { "family_name": "Xu", "given_name": "Changhao", "orcid": "0000-0002-6817-3341", "clpid": "Xu-Changhao" }, { "family_name": "Min", "given_name": "Jihong", "orcid": "0000-0002-5788-1473", "clpid": "Min-Jihong" }, { "family_name": "Shirzaei Sani", "given_name": "Ehsan", "orcid": "0000-0002-4609-1505", "clpid": "Shirzaei-Sani-Ehsan" }, { "family_name": "Kim", "given_name": "Gwangmook", "clpid": "Kim-Gwangmook" }, { "family_name": "Heng", "given_name": "Wenzheng", "clpid": "Heng-Wenzheng" }, { "family_name": "Kim", "given_name": "Inho", "orcid": "0000-0002-5751-7241", "clpid": "Kim-Inho" }, { "family_name": "Gao", "given_name": "Wei", "orcid": "0000-0002-8503-4562", "clpid": "Gao-Wei" } ], "abstract": "The amalgamation of wearable technologies with physiochemical sensing capabilities promises to create powerful interpretive and predictive platforms for real-time health surveillance. However, the construction of such multimodal devices is difficult to be implemented wholly by traditional manufacturing techniques for at-home personalized applications. Here, we present a universal semisolid extrusion\u2013based three-dimensional printing technology to fabricate an epifluidic elastic electronic skin (e\n 3\n -skin) with high-performance multimodal physiochemical sensing capabilities. We demonstrate that the e\n 3\n -skin can serve as a sustainable surveillance platform to capture the real-time physiological state of individuals during regular daily activities. We also show that by coupling the information collected from the e\n 3\n -skin with machine learning, we were able to predict an individual's degree of behavior impairments (i.e., reaction time and inhibitory control) after alcohol consumption. The e\n 3\n -skin paves the path for future autonomous manufacturing of customizable wearable systems that will enable widespread utility for regular health monitoring and clinical applications.", "doi": "10.1126/sciadv.adi6492", "pmcid": "PMC10499321", "issn": "2375-2548", "publisher": "American Association for the Advancement of Science", "publication": "Science Advances", "publication_date": "2023-09-13", "series_number": "37", "volume": "9", "issue": "37", "pages": "eadi6492" } ]