1
|
Shokrekhodaei M, Quinones S. Review of Non-invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone. SENSORS (BASEL, SWITZERLAND) 2020; 20:E1251. [PMID: 32106464 PMCID: PMC7085605 DOI: 10.3390/s20051251] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 02/22/2020] [Accepted: 02/23/2020] [Indexed: 12/12/2022]
Abstract
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.
Collapse
Affiliation(s)
- Maryamsadat Shokrekhodaei
- Department of Electrical and Computer Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA
| | - Stella Quinones
- Department of Metallurgical, Materials and Biomedical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA;
| |
Collapse
|
2
|
Huang Y, Li M, Huang D, Qiu Q, Lin W, Liu J, Yang W, Yao Y, Yan G, Qu N, Tuchin VV, Fan S, Liu G, Zhao Q, Chen X. Depth-Resolved Enhanced Spectral-Domain OCT Imaging of Live Mammalian Embryos Using Gold Nanoparticles as Contrast Agent. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2019; 15:e1902346. [PMID: 31304667 DOI: 10.1002/smll.201902346] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/21/2019] [Indexed: 05/12/2023]
Abstract
High-resolution and real-time visualization of the morphological changes during embryonic development are critical for studying congenital anomalies. Optical coherence tomography (OCT) has been used to investigate the process of embryogenesis. However, the structural visibility of the embryo is decreased with the depth due to signal roll-off and high light scattering. To overcome these obstacles, in this study, combined is a spectral-domain OCT (SD-OCT) with gold nanorods (GNRs) for 2D/3D imaging of live mouse embryos. Inductively coupled plasma mass spectrometry is used to confirm that GNRs can be effectively delivered to the embryos during ex vivo culture. OCT signal, image contrast, and penetration depth are all enhanced on the embryos with GNRs. These results show that after GNR treatment, more accurate spatial localization and better contrasting of the borders among organs can be observed on E9.5 and E10.5 mouse embryos. Furthermore, the strong optical absorbance of GNRs results in much clearer 3D images of the embryos, which can be used for calculating the heart areas and volumes of E9.5 and E10.5 embryos. These findings provide a promising strategy for monitoring organ development and detecting congenital structural abnormalities in mice.
Collapse
Affiliation(s)
- Yali Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Minghui Li
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Doudou Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Qi Qiu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Wenzhen Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Jiyan Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Wensheng Yang
- Department of Pathology, Affiliated Chenggong Hospital, Xiamen University, Xiamen, 361000, China
| | - Youliang Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Guoliang Yan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Ning Qu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Valery V Tuchin
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, 410012, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control of the Russian Academy of Science, Saratov, 410028, Russia
- Laboratory of Molecular Imaging, Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, 119071, Russia
- Interdisciplinary Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Shanhui Fan
- College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Gang Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Qingliang Zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute, Center for Molecular Imaging and Translational Medicine, School of Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China
| | - Xiaoyuan Chen
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| |
Collapse
|
4
|
Rothberg LJ, Lees T, Clifton-Bligh R, Lal S. Association Between Heart Rate Variability Measures and Blood Glucose Levels: Implications for Noninvasive Glucose Monitoring for Diabetes. Diabetes Technol Ther 2016; 18:366-76. [PMID: 27258123 DOI: 10.1089/dia.2016.0010] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Diabetes mellitus (DM) is a global metabolic epidemic associated with numerous adverse complications. Invasive finger prick tests or invasive monitors are currently the most common means of monitoring and controlling blood glucose levels (BGLs). Heart rate variability (HRV) is a noninvasive measure of the autonomic nervous system, and its dynamic physiological nature may provide an alternative means of blood glucose monitoring. However, the relationship between BGL and HRV parameters remains relatively unknown. MATERIALS AND METHODS Thirty-two participants with diabetes (39.97 ± 17.21 years of age) and 31 without diabetes (27.87 ± 10.55 years of age) participated in the current study. Fasting preceded a 10-min three-lead electrocardiogram (ECG), which was followed by a finger prick blood glucose assessment. Following this, a regular meal was consumed, and 30 min after ingestion, a second postprandial 10-min ECG was obtained, and blood glucose assessment was conducted. RESULTS Low-frequency (LF) power, high-frequency (HF) power, and total power (TP) of HRV were negatively associated with BGL in participants with DM. Additionally, the ratio of LF to HF was positively correlated with BGL. Duration of DM was also associated with multiple HRV parameters, with negative associations to both LF and HF parameters as well as TP. CONCLUSIONS This study demonstrates links between specific HRV variables and BGL. In the future the dynamic nature of HRV could provide a unique and real-time method for monitoring BGL, for continuous noninvasive prediction and/or management of DM.
Collapse
Affiliation(s)
- Leon J Rothberg
- 1 Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney , Broadway, New South Wales, Australia
| | - Ty Lees
- 1 Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney , Broadway, New South Wales, Australia
| | - Roderick Clifton-Bligh
- 2 Medicine, Northern Clinical School, Kolling Institute of Medical Research , Sydney, New South Wales, Australia
| | - Sara Lal
- 1 Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney , Broadway, New South Wales, Australia
| |
Collapse
|
5
|
Tuchina DK, Shi R, Bashkatov AN, Genina EA, Zhu D, Luo Q, Tuchin VV. Ex vivo optical measurements of glucose diffusion kinetics in native and diabetic mouse skin. JOURNAL OF BIOPHOTONICS 2015; 8:332-46. [PMID: 25760425 DOI: 10.1002/jbio.201400138] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 01/21/2015] [Accepted: 02/16/2015] [Indexed: 05/22/2023]
Abstract
The aim of this study was to estimate the glucose diffusion coefficients ex vivo in skin of mice with diabetes induced in vivo by alloxan in comparison to non-diabetic mice. The temporal dependences of collimated transmittance of tissue samples immersed in glucose solutions were measured in the VIS-NIR spectral range to quantify the glucose diffusion/permeability coefficients and optical clearing efficiency of mouse skin. The average thickness of intact healthy and diabetic skin was 0.023 ± 0.006 cm and 0.019 ± 0.005 cm, respectively. Considerable differences in optical and kinetic properties of diabetic and non-diabetic skin were found: clearing efficiency was 1.5-fold better and glucose diffusivity was 2-fold slower for diabetic skin. Experimental Setup for measuring collimated transmittance spectra of mouse skin samples.
Collapse
Affiliation(s)
- Daria K Tuchina
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China; Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, 410012, Russia.
| | | | | | | | | | | | | |
Collapse
|
6
|
Su Y, Yao XS, Li Z, Meng Z, Liu T, Wang L. Measurements of the thermal coefficient of optical attenuation at different depth regions of in vivo human skins using optical coherence tomography: a pilot study. BIOMEDICAL OPTICS EXPRESS 2015; 6:500-13. [PMID: 25780740 PMCID: PMC4354582 DOI: 10.1364/boe.6.000500] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 12/21/2014] [Accepted: 12/22/2014] [Indexed: 05/18/2023]
Abstract
We present detailed measurement results of optical attenuation's thermal coefficients (referenced to the temperature of the skin surface) in different depth regions of in vivo human forearm skins using optical coherence tomography (OCT). We first design a temperature control module with an integrated optical probe to precisely control the surface temperature of a section of human skin. We propose a method of using the correlation map to identify regions in the skin having strong correlations with the surface temperature of the skin and find that the attenuation coefficient in these regions closely follows the variation of the surface temperature without any hysteresis. We observe a negative thermal coefficient of attenuation in the epidermis. While in dermis, the slope signs of the thermal coefficient of attenuation are different at different depth regions for a particular subject, however, the depth regions with a positive (or negative) slope are different in different subjects. We further find that the magnitude of the thermal coefficient of attenuation coefficient is greater in epidermis than in dermis. We believe the knowledge of such thermal properties of skins is important for several noninvasive diagnostic applications, such as OCT glucose monitoring, and the method demonstrated in this paper is effective in studying the optical and biological properties in different regions of skin.
Collapse
Affiliation(s)
- Ya Su
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
| | - X. Steve Yao
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
- General Photonics Corporation, 5228 Edison Avenue, Chino, California 91710,
USA
| | - Zhihong Li
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
- Suzhou Opto-ring Co. Ltd., Suzhou 215123,
China
| | - Zhuo Meng
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
- Suzhou Opto-ring Co. Ltd., Suzhou 215123,
China
| | - Tiegen Liu
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
| | - Longzhi Wang
- Tianjin University, Polarization Research Center, College of Precision Instrument & Opto-electronics Engineering and Key Laboratory of Opto-electronics Information and Technical Science, Ministry of Education, Tianjin 300072,
China
| |
Collapse
|