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López-Peña G, Ortiz-Mansilla E, Arranz A, Bogdan N, Manso-Silván M, Martín Rodríguez E. Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose. Colloids Surf B Biointerfaces 2024; 239:113934. [PMID: 38729020 DOI: 10.1016/j.colsurfb.2024.113934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/15/2024] [Accepted: 04/28/2024] [Indexed: 05/12/2024]
Abstract
Today, diabetes mellitus is one of the most common diseases that affects the population on a worldwide scale. Patients suffering from this disease are required to control their blood-glucose levels several times a day through invasive methods such as piercing their fingers. Our NaGdF4: 5% Er3+, 3% Nd3+ nanoparticles demonstrate a remarkable ability to detect D-glucose levels by analysing alterations in their red-to-green ratio, since this sensitivity arises from the interaction between the nanoparticles and the OH groups present in the D-glucose molecules, resulting in discernible changes in the emission of the green and red bands. These luminescent sensors were implemented and tested on paper substrates, offering a portable, low-cost and enzyme-free solution for D-glucose detection in aqueous solutions with a limit of detection of 22 mg/dL. With this, our study contributes to the development of non-invasive D-glucose sensors, holding promising implications for managing diabetes and improving overall patient well-being with possible future applications in D-glucose sensing through tear fluid.
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Affiliation(s)
- Gabriel López-Peña
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Eva Ortiz-Mansilla
- Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Antonio Arranz
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Nicoleta Bogdan
- Department of Chemistry and Biochemistry, Concordia University, Montreal, QC, Canada
| | - Miguel Manso-Silván
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain; Centro de Micro-Análisis de Materiales, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Emma Martín Rodríguez
- Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain; Nanomaterials for BioImaging Group, Instituto Ramón y Cajal de Investigación Sanitaria IRYCIS, Ctra. de Colmenar km 9,300, Madrid 28034, Spain.
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Liu T, Ren Z, Xiong C, Peng W, Wu J, Huang S, Liang G, Sun B. Optoacoustic classification of diabetes mellitus with the synthetic impacts via optimized neural networks. Heliyon 2023; 9:e20796. [PMID: 37842612 PMCID: PMC10569993 DOI: 10.1016/j.heliyon.2023.e20796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 09/11/2023] [Accepted: 10/06/2023] [Indexed: 10/17/2023] Open
Abstract
A highly accurate classification of diabetes mellitus (DM) with the synthetic impacts of several variables is first studied via optoacoustic technology in this work. For this purpose, an optoacoustic measurement apparatus of blood glucose is built, and the optoacoustic signals and peak-peak values for 625 cases of in vitro rabbit blood are obtained. The results show that although the single impact of five variables are obtained, the precise classification of DM is limited because of the synthetic impacts. Based on clinical standards, different levels of blood glucose corresponding to hypoglycaemia, normal, slight diabetes, moderate diabetes and severe diabetes are employed. Then, a wavelet neural network (WNN) is utilized to establish a classification model of DM severity. The classification accuracy is 94.4 % for the testing blood samples. To enhance the classification accuracy, particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) are successively utilized to optimize WNN, and accuracy is enhanced to 98.4 % and 100 %, respectively. It is demonstrated from comparison between several algorithms that optoacoustic technology united with the QPSO-optimized WNN algorithm can achieve precise classification of DM with synthetic impacts.
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Affiliation(s)
- Tao Liu
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Zhong Ren
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
- Key Laboratory of Optic-electronic Detection and Information Processing of Nanchang City, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Chengxin Xiong
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Wenping Peng
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Junli Wu
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Shuanggen Huang
- Agricultural Equipment Key Laboratory of Jiangxi Provincial, Jiangxi Agriculture University, 330045 Nanchang, Jiangxi, China
| | - Gaoqiang Liang
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
| | - Bingheng Sun
- Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China
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Scarsella M, Barile G, Stornelli V, Safari L, Ferri G. A Survey on Current-Mode Interfaces for Bio Signals and Sensors. SENSORS (BASEL, SWITZERLAND) 2023; 23:3194. [PMID: 36991905 PMCID: PMC10058727 DOI: 10.3390/s23063194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 06/19/2023]
Abstract
In this study, a review of second-generation voltage conveyor (VCII) and current conveyor (CCII) circuits for the conditioning of bio signals and sensors is presented. The CCII is the most known current-mode active block, able to overcome some of the limitations of the classical operational amplifier, which provides an output current instead of a voltage. The VCII is nothing more than the dual of the CCII, and for this reason it enjoys almost all the properties of the CCII but also provides an easy-to-read voltage as an output signal. A broad set of solutions for relevant sensors and biosensors employed in biomedical applications is considered. This ranges from the widespread resistive and capacitive electrochemical biosensors now used in glucose and cholesterol meters and in oximetry to more specific sensors such as ISFETs, SiPMs, and ultrasonic sensors, which are finding increasing applications. This paper also discusses the main benefits of this current-mode approach over the classical voltage-mode approach in the realization of readout circuits that can be used as electronic interfaces for different types of biosensors, including higher circuit simplicity, better low-noise and/or high-speed performance, and lower signal distortion and power consumption.
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Sanai F, Sahid AS, Huvanandana J, Spoa S, Boyle LH, Hribar J, Wang DTY, Kwan B, Colagiuri S, Cox SJ, Telfer TJ. Evaluation of a Continuous Blood Glucose Monitor: A Novel and Non-Invasive Wearable Using Bioimpedance Technology. J Diabetes Sci Technol 2023; 17:336-344. [PMID: 34711074 PMCID: PMC10012362 DOI: 10.1177/19322968211054110] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Frequent blood glucose level (BGL) monitoring is essential for effective diabetes management. Poor compliance is common due to the painful finger pricking or subcutaneous lancet implantation required from existing technologies. There are currently no commercially available non-invasive devices that can effectively measure BGL. In this real-world study, a prototype non-invasive continuous glucose monitoring system (NI-CGM) developed as a wearable ring was used to collect bioimpedance data. The aim was to develop a mathematical model that could use these bioimpedance data to estimate BGL in real time. METHODS The prototype NI-CGM was worn by 14 adult participants with type 2 diabetes for 14 days in an observational clinical study. Bioimpedance data were collected alongside paired BGL measurements taken with a Food and Drug Administration (FDA)-approved self-monitoring blood glucose (SMBG) meter and an FDA-approved CGM. The SMBG meter data were used to improve CGM accuracy, and CGM data to develop the mathematical model. RESULTS A gradient boosted model was developed using a randomized 80-20 training-test split of data. The estimated BGL from the model had a Mean Absolute Relative Difference (MARD) of 17.9%, with the Parkes error grid (PEG) analysis showing 99% of values in clinically acceptable zones A and B. CONCLUSIONS This study demonstrated the reliability of the prototype NI-CGM at collecting bioimpedance data in a real-world scenario. These data were used to train a model that could successfully estimate BGL with a promising MARD and clinically relevant PEG result. These results will enable continued development of the prototype NI-CGM as a wearable ring.
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Affiliation(s)
- Farid Sanai
- Scimita Ventures Pty Ltd, Sydney, NSW,
Australia
| | | | | | - Sandra Spoa
- Scimita Ventures Pty Ltd, Sydney, NSW,
Australia
| | | | | | | | | | - Stephen Colagiuri
- Boden Collaboration of Obesity,
Nutrition, Exercise and Eating Disorders, The University of Sydney, Sydney, NSW,
Australia
- WHO Collaborating Centre on Physical
Activity, Nutrition and Obesity, The University of Sydney, Sydney, NSW,
Australia
| | - Shane J. Cox
- Scimita Ventures Pty Ltd, Sydney, NSW,
Australia
| | - Thomas J. Telfer
- Scimita Ventures Pty Ltd, Sydney, NSW,
Australia
- Thomas J. Telfer, PhD (Medicine), BSc (Adv)
(Hons I), Scimita Ventures Pty Ltd, 31/2 Bishop Street, St Peters, Sydney, NSW
2044, Australia.
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Kim H, Zhbanov A, Yang S. Microfluidic Systems for Blood and Blood Cell Characterization. BIOSENSORS 2022; 13:13. [PMID: 36671848 PMCID: PMC9856090 DOI: 10.3390/bios13010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
A laboratory blood test is vital for assessing a patient's health and disease status. Advances in microfluidic technology have opened the door for on-chip blood analysis. Currently, microfluidic devices can reproduce myriad routine laboratory blood tests. Considerable progress has been made in microfluidic cytometry, blood cell separation, and characterization. Along with the usual clinical parameters, microfluidics makes it possible to determine the physical properties of blood and blood cells. We review recent advances in microfluidic systems for measuring the physical properties and biophysical characteristics of blood and blood cells. Added emphasis is placed on multifunctional platforms that combine several microfluidic technologies for effective cell characterization. The combination of hydrodynamic, optical, electromagnetic, and/or acoustic methods in a microfluidic device facilitates the precise determination of various physical properties of blood and blood cells. We analyzed the physical quantities that are measured by microfluidic devices and the parameters that are determined through these measurements. We discuss unexplored problems and present our perspectives on the long-term challenges and trends associated with the application of microfluidics in clinical laboratories. We expect the characterization of the physical properties of blood and blood cells in a microfluidic environment to be considered a standard blood test in the future.
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Affiliation(s)
- Hojin Kim
- Department of Mechatronics Engineering, Dongseo University, Busan 47011, Republic of Korea
| | - Alexander Zhbanov
- School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Sung Yang
- School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
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Innovations in Glucose Monitoring. Nurs Educ Perspect 2022; 43:264. [PMID: 35759710 DOI: 10.1097/01.nep.0000000000000992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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Cheng Z, Savarimuthu TR. Monopolar, bipolar, tripolar, and tetrapolar configurations in robot assisted electrical impedance scanning. Biomed Phys Eng Express 2022; 8. [PMID: 35728560 DOI: 10.1088/2057-1976/ac7adb] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 06/21/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Tissue recognition is a critical process during a Robot-assisted minimally invasive surgery (RMIS) and it relies on the involvement of advanced sensing technology. APPROACH In this paper, the concept of Robot Assisted Electrical Impedance Sensing (RAEIS) is utilized and further developed aiming to sense the electrical bioimpedance of target tissue directly based on the existing robotic instruments and control strategy. Specifically, we present a new sensing configuration called pseudo-tetrapolar method. With the help of robotic control, we can achieve a similar configuration as traditional tetrapolar, and with better accuracy. MAIN RESULTS Five configurations including monopolar, bipolar, tripolar, tetrapolar and pseudo-tetrapolar are analyzed and compared through simulation experiments. Advantages and disadvantages of each configuration are thus discussed. SIGNIFICANCE This study investigates the measurement of tissue electrical property directly based on the existing robotic surgical instruments. Specifically, different sensing configurations can be realized through different connection and control strategies, making them suitable for different application scenarios.
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Affiliation(s)
- Zhuoqi Cheng
- MMMI, SDU, Campusvej 55, SDU, Odense, 5230, DENMARK
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Piccinelli M, Cheng Z, Dall'Alba D, Schmidt MK, Savarimuthu TR, Fiorini P. 3D Vision Based Robot Assisted Electrical Impedance Scanning for Soft Tissue Conductivity Sensing. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3150481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Ma R, An X, Shao R, Zhang Q, Sun S. Recent advancement in noninvasive glucose monitoring and closed-loop management system for diabetes. J Mater Chem B 2022; 10:5537-5555. [DOI: 10.1039/d2tb00749e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Diabetes can cause many complications, which has become one of the most common diseases that may lead to death. Currently, the number of diabetics continues increasing year by year. Thus,...
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Cheng Z, Lindberg Schwaner K, Dall'Alba D, Fiorini P, Savarimuthu TR. An electrical bioimpedance scanning system for subsurface tissue detection in Robot Assisted Minimally Invasive Surgery. IEEE Trans Biomed Eng 2021; 69:209-219. [PMID: 34156935 DOI: 10.1109/tbme.2021.3091326] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In Robot Assisted Minimally Invasive Surgery, discriminating critical subsurface structures is essential to make the surgical procedure safer and more efficient. In this paper, a novel robot assisted electrical bio-impedance scanning (RAEIS) system is developed and validated using a series of experiments. The proposed system constructs a tri-polar sensing configuration for tissue homogeneity inspection. Specifically, two robotic forceps are used as electrodes for applying electric current and measuring reciprocal voltages relative to a ground electrode which is placed distal from the measuring site. Compared to the other existing electrical bioimpedance sensing technology, the proposed system is able to use miniaturized electrodes to measure a site flexibly with enhanced subsurfacial detection capability. In this paper, we present the concept, the modeling of the sensing method, the hardware design, and the system calibration. Subsequently, a series of experiments are conducted for system evaluation including finite element simulation, saline solution bath experiments and experiments based on ex vivo animal tissues. The experimental results demonstrate that the proposed system can measure the resistivity of the material with high accuracy, and detect a subsurface non-homogeneous object with 100% success rate. The proposed parameters estimation algorithm is able to approximate the resistivity and the depth of the subsurface object effectively with one fast scanning.
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Bao H, Li J, Wen J, Cheng L, Hu Y, Zhang Y, Wan N, Takei M. Quantitative Evaluation of Burn Injuries Based on Electrical Impedance Spectroscopy of Blood with a Seven-Parameter Equivalent Circuit. SENSORS 2021; 21:s21041496. [PMID: 33670072 PMCID: PMC7926917 DOI: 10.3390/s21041496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 11/16/2022]
Abstract
A quantitative and rapid burn injury detection method has been proposed based on the electrical impedance spectroscopy (EIS) of blood with a seven-parameter equivalent circuit. The degree of burn injury is estimated from the electrical impedance characteristics of blood with different volume proportions of red blood cells (RBCs) and heated red blood cells (HRBCs). A quantitative relationship between the volume portion HHCT of HRBCs and the electrical impedance characteristics of blood has been demonstrated. A seven -parameter equivalent circuit is employed to quantify the relationship from the perspective of electricity. Additionally, the traditional Hanai equation has been modified to verify the experimental results. Results show that the imaginary part of impedance ZImt under the characteristic frequency (fc) has a linear relationship with HHCT which could be described by ZImt = −2.56HHCT − 2.01 with a correlation coefficient of 0.96. Moreover, the relationship between the plasma resistance Rp and HHCT is obtained as Rp = −7.2HHCT + 3.91 with a correlation coefficient of 0.96 from the seven -parameter equivalent circuit. This study shows the feasibility of EIS in the quantitative detection of burn injury by the quantitative parameters ZImt and Rp, which might be meaningful for the follow-up clinical treatment for burn injury.
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Affiliation(s)
- Huilu Bao
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Jianping Li
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
- Correspondence:
| | - Jianming Wen
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Li Cheng
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Yili Hu
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Yu Zhang
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Nen Wan
- The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua 321004, China; (H.B.); (J.W.); (L.C.); (Y.H.); (Y.Z.); (N.W.)
| | - Masahiro Takei
- Graduate School of Mechanical Engineering, Division of Artificial System Science, Chiba University, 1-33 Yayoi, Inage, Chiba 263-8522, Japan;
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