Applying Flexible Electronics in the Diagnosis, Treatment and Nursing Care for Diabetes Mellitus: a Review
SONG Jiang1,,WANG Tengjiao1,2,,FENG Tao1,2,CHAN Siew Yin1,2,RONG Fan1,LI Peng1,2,HUANG Wei1,2,
1 Xi'an Institute of Flexible Electronics,Northwestern Polytechnical University,Xi'an 710072,China 2 Xi'an Institute of Biomedical Materials and Engineering,Northwestern Polytechnical University,Xi'an 710072,China
Abstract: Diabetes is a common chronic metabolic disease characterized by high glucose concentrations in the blood, adversely affecting the health and diminishing the qualities of life of patients. In addition, diabetes can also cause a series of complications, rendering it difficult to restore the health of patients with medication alone. The development of these complications may lead to disability or even death. With the rise of artificial intelligence and Internet of Things, flexible electronics has been gradually employed for the treatment of diabetes in recent years due to its unique advantages such as being lightweight, stretchable, or bendable. To treat and control the development of diabetes, patients need to regularly detect glucose content in the blood and take medication over a long term period. Traditional methods of diagnosing diabetes are unable to detect the glucose level in the blood continuously and in real time, causing trauma and delaying the best treatment time for patients. Due to inadequate nursing mechanism and backward nursing equipment, the conditions of patients may worsen rapidly. Flexible electronics are integrated into wearable flexible electronic devices through integration with sensing technologies. These equipment can be directly worn on the body, and are able to detect the glucose level in the body continuously and in real time through non-invasive or minimally invasive detection methods. By integrating drug delivery devices and wireless communication equipment, the setup can intelligently control drug dosage, render drug treatment, as well as carry out real-time health monitoring and exercise assistance for diabetic patients. Therefore, wearable flexible electronic devices provide new ways for diagnosis, treatment, and nursing care of diabetes, and has become the most ideal platform for individualized management of diabetes. This paper reviews the applications of flexible wearable devices in the diagnosis, treatment, and nursing care for diabetes in recent years. The challenges faced in the development of flexible wearable devices are also discussed. Progress in the area of flexible wearable devices may potentially alleviate problems faced by diabetic patients, thereby improving their quality of life.
1 Guariguata L, Whiting D R, Hambleton I, et al.Diabetes Research and Clinical Practice, 2014, 103(2), 137. 2 Whiting D R, Guariguata L, Weil C, et al.Diabetes Research and Clinical Practice, 2011, 94(3), 311. 3 Cho N H, Shaw J E, Karuranga S, et al. Diabetes Research and Clinical Practice, 2018, 138, 271. 4 Hippisley-Cox J, Coupland C.British Medical Journal, 2016, 352, i1450. 5 Forbes J M, Cooper M E.Physiological Reviews, 2013, 93, 137. 6 Li L, Chen Z, Hao M, et al.Nano Letters, 2019, 19(8), 5544. 7 Bandodkar A J, Wang J. Trends in Biotechnology, 2014, 32(7), 363. 8 Gao W, Emaminejad S, Nyein H Y Y, et al.Nature, 2016, 529(7587), 509. 9 Yang Y, Gao W.Chemical Society Reviews, 2019, 48(6), 1465. 10 Hu Y, Zhao T, Zhu P, et al.Nano Research, 2018, 11(4), 1938. 11 Wang Y, Zhang X, Luo Z, et al.Nanoscale, 2014, 6(21), 12340. 12 Kyi M, Colman P G, Rowan L M, et al.Medical Journal of Australia, 2019, 211(4), 175. 13 Ratnayake C, Weerasekara N D, Suranimala D H, et al.Ceylon Medical Journal, 2018, 63(4), 180. 14 Ribet F, Stemme G, Roxhed N, et al.Biomedical Microdevices, 2018, 20(4), 101. 15 Kim J, Campbell A S, Wang J, et al.Talanta, 2018, 177, 163. 16 Elsherif M, Hassan M U, Yetisen A K, et al.Biosensors and Bioelectro-nics, 2019, 137, 25. 17 Chen Y H, Lu S Y, Zhang S S, et al.Science Advances, 2017, 3(12), e1701629. 18 Villiger M, Stoop R, Vetsch T, et al.European Journal of Clinical Nutrition, 2018, 72(1), 69. 19 Moyer J, Wilson D, Finkelshtein I, et al. Diabetes Technology & Therapeutics, 2011, 14(5), 398. 20 Karpova E V, Shcherbacheva E V, Galushin A A, et al.Analytical Che-mistry, 2019, 91(6), 3778. 21 Zilberstein G, Zilberstein R, Maor U, et al.Electrophoresis, 2018, 39(18), 2344. 22 Lin Y, Bariya M, Nyein H Y Y, et al.Advanced Functional Materials, 2019, 29(33), 1902521. 23 Gordon J, McEwan P, Hurst M, et al.Diabetes Therapy, 2016, 7(4), 825. 24 Yoon H J, Jun D H, Yang J H, et al.Sensors and Actuators B-Chemical, 2011, 157(1), 310. 25 Makisimovich N, Vorotyntsev V, Nikitina N, et al.Sensors and Actuators B-Chemical, 1996, 36(1-3), 419. 26 Liu F, Chu X, Dong Y, et al.Sensors and Actuators B-Chemical, 2013, 188, 469. 27 Kumagai AK, Glasgow BJ, Pardridge WM, et al.Investigative Ophthalmology and Visual Science, 1994, 35, 2887. 28 Turner H C, Alvarez L J, Bildin V N, et al. Current Eye Research, 2000, 21(843), 50. 29 Sen D K, Sarin G S. The British Journal of Ophthalmology, 1980, 64(9), 693. 30 March W F, Smith F E, Herbrechtsmeier P, et al.Diabetes, 2001, 50, A125. 31 Iguchi S, Kudo H, Saito T, et al.Biomedical Microdevices, 2007, 9(4), 603. 32 Lin Y R, Hung C C, Chiu H Y, et al.Sensors-Basel, 2018, 18(10), 3208. 33 Lakowicz J R, Reece E A, Badugu R, et al.Journal of Biomedical Optics, 2018, 23(5), 057005. 34 Yao H, Shum A J, Cowan M, et al.Biosensors and Bioelectronics, 2011, 26(7), 3290. 35 Gordon J, McEwan P, Hurst M, et al.Diabetes Therapy, 2016, 7(4), 825. 36 Jendle J, Fang X, Cao Y, et al.Journal of The American Society Hypertension, 2018, 12(5), 346. 37 Cappon G, Vettoretti M, Sparacino G, et al.Diabetes and Metabolism Journal, 2019, 43(4), 383. 38 Liu H T, Gao Y. Experimental and Therapeutic Medicine, 2019, DOI: 10.3892/etm.2019.7821. 39 Berian J, Bravo I, Gardel A, et al.Electronics, 2019, 8(6), 612. 40 Luo Z, Sun W, Fang J, et al.Advanced Healthcare Materials, 2019, 8(3), 1801054. 41 Lee H, Song C, Baik S, et al. Advanced Drug Delivery Reviews, 2018, 127, 35. 42 Prausnitz M R.Advanced Drug Delivery Reviews, 2004, 56, 581. 43 Lee H, Choi T K, Lee Y B, et al.Nature Nanotechnology, 2016, 11(6), 566. 44 Bakker K, Apelqvist J, Schaper N C, et al.Diabetes-Metabolism Research and Reviews, 2012, 28, 225. 45 Kamoun E A, Kenawy E R S. Chen X. Journal of Advanced Research, 2017, 8(3), 217. 46 Li S, Dong S, Xu W, et al.Advanced Science, 2018, 5(5), 1700527. 47 Zhao Y, Li Z, Song S, et al.Advanced Functional Materials, 2019,29(31), 1901474. 48 Farandos N M, Yetisen A K, Monteiro M J, et al.Advanced Healthcare Materials, 2015, 4, 792. 49 Bussan K A, Robertson D M.Journal of Diabetes and Its Complications, 2019, 33(1), 75. 50 Tseng R C, Chen C C, Hsu S M, et al.Sensors-Basel, 2018, 18(8), 2651. 51 Chu M X, Miyajima K, Takahashi D, et al.Talanta, 2011, 83(3), 960. 52 Hong Y J, Lee H, Kim J, et al.Advanced Functional Materials, 2018, 28(47), 1805754. 53 Lee H, Song C, Hong Y S, et al.Science Advances, 2017, 3(3), e1601314. 54 Razak A H, Zayegh A, Begg R K, et al.Sensors-Basel, 2012, 12(7), 9884. 55 Watanabe A, Noguchi H, Oe M, et al.Journal of Advanced Research, 2017, DOI:10.1155/2017/5350616. 56 Rajala S, Mattila R, Kaartinen I, et al.IEEE Sensors Journal, 2017, 17(20), 6798.