scholarly journals Glucose detection of ringer-lactate solution using electrical bioimpedance: preliminary results

2021 ◽  
Vol 2008 (1) ◽  
pp. 012003
Author(s):  
B G Pedro ◽  
P Bertemes-Filho

Abstract Continuous glucose monitoring is essential to reduce the damages caused by diabetes and for choosing the right treatment approach. In most cases, non-invasive glucose measurement devices generate their results through statistical tools (e.g., artificial neural networks) with an error that increases the further away from the training sample the measurement is. An analytical model would contain only propagated errors. Impedance measurements of lactate ringer’s solutions with egg albumin containing different concentrations of sugar were performed to validate the model proposed for measuring glycemia in human blood using the electrical bioimpedance meter AD5933. The curve fitting showed errors lower than 1.5%. Chemical phenomena, such as reduced sugar, fructosamine and solvation, might explain the behaviors observed in the experiments. The results suggest that the relaxation coefficient has significant changes with the increase of sugar in the solutions. The findings encourage future research with bovine blood for a more realistic analytical model.

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1251 ◽  
Author(s):  
Maryamsadat Shokrekhodaei ◽  
Stella Quinones

Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy.


Biosensors ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 189
Author(s):  
David Bamgboje ◽  
Iasonas Christoulakis ◽  
Ioannis Smanis ◽  
Gaurav Chavan ◽  
Rinkal Shah ◽  
...  

Diabetes mellitus (DM) is a chronic disease that must be carefully managed to prevent serious complications such as cardiovascular disease, retinopathy, nephropathy and neuropathy. Self-monitoring of blood glucose is a crucial tool for managing diabetes and, at present, all relevant procedures are invasive while they only provide periodic measurements. The pain and measurement intermittency associated with invasive techniques resulted in the exploration of painless, continuous, and non-invasive techniques of glucose measurement that would facilitate intensive management. The focus of this review paper is the existing solutions for continuous non-invasive glucose monitoring via contact lenses (CLs) and to carry out a detailed, qualitative, and comparative analysis to inform prospective researchers on viable pathways. Direct glucose monitoring via CLs is contingent on the detection of biomarkers present in the lacrimal fluid. In this review, emphasis is given on two types of sensors: a graphene-AgNW hybrid sensor and an amperometric sensor. Both sensors can detect the presence of glucose in the lacrimal fluid by using the enzyme, glucose oxidase. Additionally, this review covers fabrication procedures for CL biosensors. Ever since Google published the first glucose monitoring embedded system on a CL, CL biosensors have been considered state-of-the-art in the medical device research and development industry. The CL not only has to have a sensory system, it must also have an embedded integrated circuit (IC) for readout and wireless communication. Moreover, to retain mobility and ease of use of the CLs used for continuous glucose monitoring, the power supply to the solid-state IC on such CLs must be wireless. Currently, there are four methods of powering CLs: utilizing solar energy, via a biofuel cell, or by inductive or radiofrequency (RF) power. Although, there are many limitations associated with each method, the limitations common to all, are safety restrictions and CL size limitations. Bearing this in mind, RF power has received most of the attention in reported literature, whereas solar power has received the least attention in the literature. CLs seem a very promising target for cutting edge biotechnological applications of diagnostic, prognostic and therapeutic relevance.


Author(s):  
Herbert Fink ◽  
Tim Maihöfer ◽  
Jeffrey Bender ◽  
Jochen Schulat

Abstract Blood glucose monitoring (BGM) is the most important part of diabetes management. In classical BGM, glucose measurement by test strips involves invasive finger pricking. We present results of a clinical study that focused on a non-invasive approach based on volatile organic compounds (VOCs) in exhaled breath. Main objective was the discovery of markers for prediction of blood glucose levels (BGL) in diabetic patients. Exhaled breath was measured repeatedly in 60 diabetic patients (30 type 1, 30 type 2) in fasting state and after a standardized meal. Proton Transfer Reaction Time of Flight Mass Spectrometry (PTR-ToF-MS) was used to sample breath every 15 minutes for a total of six hours. BGLs were tested in parallel via BGM test strips. VOC signals were plotted against glucose trends for each subject to identify correlations. Exhaled indole (a bacterial metabolite of tryptophan) showed significant mean correlation to BGL (with negative trend) and significant individual correlation in 36 patients. The type of diabetes did not affect this result. Additional experiments of one healthy male subject by ingestion of lactulose and 13C-labeled glucose (n=3) revealed that exhaled indole does not directly originate from food digestion by intestinal microbiota. As indole has been linked to human glucose metabolism, it might be a tentative marker in breath for non-invasive BGM. Clinical studies with greater diversity are required for confirmation of such results and further investigation of metabolic pathways.


2019 ◽  
Vol 8 (4) ◽  
pp. 6437-6441

Diabetes has shown to be a chronic disease world over, mainly caused due to reduced physical activity and increased obesity. World health organization statistics show diabetes as a leading cause of disability universally. To avoid extreme medical conditions of subjects, regular monitoring of their glucose levels has been suggested. The most common method that has been in use is the pinprick method for glucose monitoring which carries the risk of contamination as well as irritation. One possible approach called noninvasive technique can be adopted to avoid this major concern. This paper presents designing Inter-Digital-Sensor (IDS) for non-invasive sensing of the glucose level. The sensor-based chip once mounted onto the upper arm or pinkie finger of diabetes subject, is able to sense different glucose levels concentration as impedance plots. A set of several simulation results has been obtained using COMSOL for getting optimized dimensions of the sensor digits. This research has presented the generation of an electric field and intensity by using electrode of known length with element spacing varying from 250µm to 600µm developed over 15mm x 20mm sensor area. An ID of 475µm width spacing with ten (10) digits producing 2.33 pF of capacitance value with impedance resonating at 13 GHz of frequency is reported in this paper


The Analyst ◽  
2017 ◽  
Vol 142 (3) ◽  
pp. 495-502 ◽  
Author(s):  
Otto Hertzberg ◽  
Alexander Bauer ◽  
Arne Küderle ◽  
Miguel A. Pleitez ◽  
Werner Mäntele

Photothermal depth profiling is applied to total internal reflection enhanced photothermal deflection spectroscopy (TIR-PTDS) in order to study skin characteristicsin vivoand to improve the sensing technique for non-invasive glucose monitoring.


2017 ◽  
Author(s):  
Abigail R. Bradshaw ◽  
Dorothy V. M. Bishop ◽  
Zoe V. J. Woodhead

The involvement of the right and left hemispheres in mediating language functions has been measured in a variety of ways over the centuries since the relative dominance of the left hemisphere was first known. Functional magnetic resonance imaging (fMRI) presents a useful non-invasive method of assessing lateralisation that is being increasingly used in clinical practice and research. However, the methods used in the fMRI laterality literature currently are highly variable, making systematic comparisons across studies difficult. Here we consider the different methods of quantifying and classifying laterality that have been used in fMRI studies since 2000, with the aim of determining which give the most robust and reliable measurement. Recommendations are made with a view to informing future research to increase standardisation in fMRI laterality protocols. In particular, the findings reinforce the importance of threshold-independent methods for calculating laterality indices, and the benefits of assessing heterogeneity of language laterality across multiple regions of interest and tasks.


2017 ◽  
Author(s):  
Abigail R. Bradshaw ◽  
Dorothy V. M. Bishop ◽  
Zoe V. J. Woodhead

The involvement of the right and left hemispheres in mediating language functions has been measured in a variety of ways over the centuries since the relative dominance of the left hemisphere was first known. Functional magnetic resonance imaging (fMRI) presents a useful non-invasive method of assessing lateralisation that is being increasingly used in clinical practice and research. However, the methods used in the fMRI laterality literature currently are highly variable, making systematic comparisons across studies difficult. Here we consider the different methods of quantifying and classifying laterality that have been used in fMRI studies since 2000, with the aim of determining which give the most robust and reliable measurement. Recommendations are made with a view to informing future research to increase standardisation in fMRI laterality protocols. In particular, the findings reinforce the importance of threshold-independent methods for calculating laterality indices, and the benefits of assessing heterogeneity of language laterality across multiple regions of interest and tasks.


2021 ◽  
Author(s):  
Yuanmeng Xu ◽  
Ang Li ◽  
Chenyang Wu ◽  
Zhanxiao Geng ◽  
Junqing Zhang ◽  
...  

BACKGROUND Non-invasive blood glucose measurement is expected to be an ideal way for glucose monitoring, although most of the methods are under study and yet to be verified in large-scale clinical trials. OBJECTIVE We intend to evaluate the stability, accuracy of the metabolic heat conformation (MHC)-based non-invasive glucometer in a multicentre, self-controlled clinical trial. This device obtained the first medical device registration certificate awarded by the National Medical Products Administration of China (NMPA). METHODS The clinical study was conducted at three sites on 200 subjects who received glucose measurement with a non-invasive glucometer, the Contour Plus blood glucose monitoring system, and venous plasma glucose (VPG) measurements, in a fasted state and at 2 and 4 hours after meals. Trial Registration: ChiCTR1900020523. RESULTS The non-invasive and VPG measurements showed 93.9% (95% CI, 91.7–95.6%) of the values in zone A + B in a Consensus Error Grid. The measurements obtained in a fasted state and at 2 hours after meals are more accurate, with 99.0% and 97.0% of the values in zone A + B, respectively. The proportion of values in zone A + B and the correlation coefficients in subjects who did not receive insulin were 3.1% and 0.0596 higher than in those who received insulin. The accuracy of the non-invasive glucometer was influenced by the level of islet cell function and insulin resistance, which had a correlation coefficient with the MARD of -0.0961 (p=0.020) and -0.1577 (p=0.00012), respectively. CONCLUSIONS The MHC-based non-invasive glucometer demonstrates generally high stability and accuracy in the glucose monitoring of diabetic patients. The calculation model needs to be further explored and optimised for patients with different diabetes subtypes, levels of insulin resistance and insulin secretion capacity. CLINICALTRIAL the name of the trial registry : A multi-center study for evaluating the accuracy and safety of noninvasive glucose meter in people with diabetes or impaired glucose regulation (impaired fasting glucose and impaired glucose tolerance), using an experimental test system as a reference. registration number : ChiCTR1900020523 URL : https://www.chictr.org.cn/showproj.aspx?proj=33857


Author(s):  
Saina Sunny ◽  
S. Swapna Kumar

Analysis and measurement of Diabetes Mellitus (DM) became one of the critical challenges of the coming future. Since by 2030, diabetes effected are increased to 360 million all over the world by the World Health Organization (WHO) analytical study survey results. The main aim of this paper is non invasive and continuous glucose monitoring with the IoT technology involvement. Traditional finger pricking methods pros and cons are notified and tried to rectify its demerits. The designed device consist of an infrared led having a wavelength of 900 to 1100nm for the optical blood glucose measurement. NIR photodiodes used to collect light collected from body parts and regressive analysis is carried out. The signal processing, data algorithm is based on Beer-Lambert’s law. In assistance with internet of things (IoT) in WiFi range push alerts are reached to the patients and their concerns on real time. Therefore, it helps in emergency, continuous real time blood glucose monitoring. An IOT based noninvasive glucose monitoring will be a milestone for emerging and smart generation.


2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Stephanie Yap Hui Kit ◽  
Norazan Mohd Kassim

Conventional way of measuring glucose level using finger pricking method does not only cause pain but is also costly to diabetic patients since the lancet and test strip is not reusable. Addressing to this matter, a simple metabolic heat conformation (MHC) technique was adapted in our study to measure human glucose level using non-invasive method which is harmless and capable of providing real time monitoring. This method is adapted based on the theory of glucose metabolism process which produces adenosine triphosphate (ATP). ATP function to transport energy within cells in form of heat dissipated throughout human body. Thus, temperature based algorithm was conducted using an implemented prototype circuit sensor which consist of pyroelectric detector and NTC thermistor to detect small variation of human and surrounding temperature. A total of 50 samples have been collected for analysis purposes. Results obtained from the temperature-based prototype glucose monitoring system using NTC thermistor (TPGMS-NTC) were compared with commercial automated glucose analyzer through Error Grid Analysis, and it was shown that glucose concentration is correlated to the total amount of heat dissipated from human body by 0.9125. About 90% of the samples taken are plotted within accurate range (region A) while 10% are plotted within acceptable range (region B).


Sign in / Sign up

Export Citation Format

Share Document