Non-invasive Biosensors for Blood Glucose Monitoring

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1995

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Interdisciplinary Center for Life Sciences, South-Westphalia University of Applied Science, 58644 Iserlohn, Germany
Interests: optical spectroscopy; optical fiber sensors; point-of-care; clinical chemistry; medical diagnostics; process analytical technology; biotechnology; material analysis; environmental analytical chemistry; chemometrics
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Dear Colleagues,

The benefits of strict blood glucose control in people with diabetes mellitus are well known. At present, a large number of diabetics use blood glucose self-monitoring (SMBG) test strip devices for measuring their blood glucose levels, thus adjusting their insulin dose with the goal of achieving normoglycemia to avoid or delay the onset of serious health complications. Sensor technologies have been further developed for minimally invasive continuous monitoring, which have a dramatic impact on diabetes therapy, but the invasiveness and amount of consumables being wasted after use—which are certainly of great economic value for the fabricating industry—are significant issues that prevent placing these sensors into the category of green technology. 

By contrast, a wide range of optical techniques have been presented for the development of noninvasive methods for blood glucose sensing. There are suggestions for noninvasive measurements using body fluids that are easily accessible, such as tear fluid or saliva, but for such assays, tight correlation with blood glucose concentrations cannot be secured. We mainly expect contributions on direct measurements, e.g., exploiting optical characteristics that can be related to glucose as the analyte of interest. For this, different aspects on integral skin measurements have been presented in the past, but other technologies, such as confocal arrangements or photothermal detection using quantum cascade lasers, have also been applied for reaching more selective skin depths, or even approaches such as pulse glucometry, using modulations of the arterial vascular space, have been published. For testing and improving many different measurement scenarios, skin phantoms as models have also been prepared and described in the literature. Other important contributions of tremendous value are in the area of modelling the random walk of photons within complex scattering skin and related phantoms, e.g., via Monte Carlo simulations of radiation transport, given a certain optical arrangement.

This Special Issue, “Noninvasive Biosensors for Blood Glucose Monitoring”, aims to collect and publish recent advances within this interdisciplinary area. Research articles as well as reviews dealing with innovative measurement techniques, instrumentation development, and novel applications of all parts of spectroscopy are invited. Applications may refer to the analysis of biofluids or integral tissue characterization with a focus on glucose as a minor but physiological important constituent. Manuscripts on this plethora of instrumental developments and wide area applications contributing to the advancement of this field of biospectroscopy are welcome.

Prof. Dr. Herbert Michael Heise
Guest Editor

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19 pages, 6359 KiB  
Article
A Non-Invasive Hemoglobin Detection Device Based on Multispectral Photoplethysmography
by Jianming Zhu, Ruiyang Sun, Huiling Liu, Tianjiao Wang, Lijuan Cai, Zhencheng Chen and Baoli Heng
Biosensors 2024, 14(1), 22; https://doi.org/10.3390/bios14010022 - 30 Dec 2023
Cited by 1 | Viewed by 1635
Abstract
The measurement of hemoglobin is a vital index for diagnosing and monitoring diseases in clinical practice. At present, solutions need to be found for the soreness, high risk of infection, and inconvenient operation associated with invasive detection methods. This paper proposes a method [...] Read more.
The measurement of hemoglobin is a vital index for diagnosing and monitoring diseases in clinical practice. At present, solutions need to be found for the soreness, high risk of infection, and inconvenient operation associated with invasive detection methods. This paper proposes a method for non-invasively detecting hemoglobin levels based on multi-wavelength photoplethysmography (PPG) signals. AFE4490 and TMUX1109 were used to implement the low-cost collection of an eight-LED transmissive PPG signal. We used seven regular LEDs and one broadband LED (Osram SFH4737) as light sources. Additionally, a finger clip integrating multiple sensors was designed and manufactured via 3D printing to simultaneously monitor the LED–sensor distance and the pressure from the tester’s finger during PPG signal acquisition. We used a method to extract features from PPG signals using a sliding-window’s variance and an evaluation metric for PPG signals based on the AdaCost classification. Data were gathered from 56 participants from the Nephrology department, including 16 anemic patients. Pearson correlation analysis was conducted on the collected data to remove any data with a weak correlation. The advantage of using a broadband LED as a light source was also demonstrated. Several non-invasive hemoglobin regression models were created by applying AdaBoost, BPNN, and Random Forest models. The study’s results indicate that the AdaBoost model produced the best performance, with a mean absolute error (MAE) of 2.67 g/L and a correlation coefficient (R2) of 0.91 The study results show that the device we designed and manufactured can achieve effective non-invasive hemoglobin detection and represents a new methodological approach to obtaining measurements that can be applied in a clinical setting. Full article
(This article belongs to the Special Issue Non-invasive Biosensors for Blood Glucose Monitoring)
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