ArticleFrontiers in endocrinology2018
Extended Near-Infrared Optoacoustic Spectrometry for Sensing Physiological Concentrations of Glucose.
Article in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- A Single-Wavelength Near-Infrared Photoacoustic Spectroscopy for Noninvasive Glucose Detection Using Machine Learning.Bioengineering (Basel, Switzerland) · 2026Article
- Noninvasive Continuous Glucose Monitoring Using Multimodal Near-Infrared, Temperature, and Pressure Signals on the Earlobe.Biosensors · 2025Article
- Deep tissue sensing of chiral molecules using polarization-enhanced photoacoustics.Science advances · 2025Article
- Cu and Ni Co-sputtered heteroatomic thin film for enhanced nonenzymatic glucose detection.Scientific reports · 2022Article
- Optoacoustic Imaging of Glucagon-like Peptide-1 Receptor with a Near-Infrared Exendin-4 Analog.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Article
- Single-wavelength water muted photoacoustic system for detecting physiological concentrations of endogenous molecules.Biomedical optics express · 2021Article
- Dual-comb photoacoustic spectroscopy.Nature communications · 2020Article
- Review of Non-invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone.Sensors (Basel, Switzerland) · 2020Review
- Short-wavelength optoacoustic spectroscopy based on water muting.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Feasibility study of portable microwave microstrip open-loop resonator for non-invasive blood glucose level sensing: proof of concept.Medical & biological engineering & computing · 2019Article
- Glucose Concentration Measurement in Human Blood Plasma Solutions with Microwave Sensors.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glucose sensing is pursued extensively in biomedical research and clinical practice for assessment of the carbohydrate and fat metabolism as well as in the context of an array of disorders, including diabetes, morbid obesity, and cancer. Currently used methods for real-time glucose measurements are invasive and require access to body fluids, with novel tools and methods for non-invasive sensing of the glucose levels highly desired. In this study, we introduce a near-infrared (NIR) optoacoustic spectrometer for sensing physiological concentrations of glucose within aqueous media and describe the glucose spectra within 850-1,900 nm and various concentration ranges. We apply the ratiometric and dictionary learning methods with a training set of data and validate their utility for glucose concentration measurements with optoacoustics in the probe dataset. We demonstrate the superior signal-to-noise ratio (factor of ~3.9) achieved with dictionary learning over the ratiometric approach across the wide glucose concentration range. Our data show a linear relationship between the optoacoustic signal intensity and physiological glucose concentration, in line with the results of optical spectroscopy. Thus, the feasibility of detecting physiological glucose concentrations using NIR optoacoustic spectroscopy is demonstrated, enabling the sensing glucose with ±10 mg/dl precision.
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