Recent developments and future perspectives of microfluidics and smart technologies in wearable devices

被引:35
作者
Apoorva, Sasikala [1 ]
Nguyen, Nam-Trung [2 ]
Sreejith, Kamalalayam Rajan [2 ]
机构
[1] UKF Coll Engn & Technol, Kollam 691302, Kerala, India
[2] Griffith Univ, Queensland Micro & Nanotechnol Ctr, 170 Kessels Rd, Nathan, Qld 4111, Australia
基金
澳大利亚研究理事会;
关键词
URINARY-TRACT-INFECTION; C-REACTIVE PROTEIN; MOUTHGUARD BIOSENSOR; URIC-ACID; ARTIFICIAL-INTELLIGENCE; SALIVARY TESTOSTERONE; TRANSDERMAL DELIVERY; INTERSTITIAL FLUID; HYALURONIC-ACID; BLOOD-GLUCOSE;
D O I
10.1039/d4lc00089g
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and drug delivery. Recent advances in wearable technology have enabled real-time analysis of biofluids such as sweat, interstitial fluid, tears, saliva, wound fluid, and urine. The integration of microfluidics and emerging smart technologies, such as artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT), into wearable devices offers great potential for accurate and non-invasive monitoring and diagnosis. This paper provides an overview of current trends and developments in microfluidics and smart technologies in wearable devices for analyzing body fluids. The paper discusses common microfluidic technologies in wearable devices and the challenges associated with analyzing each type of biofluid. The paper emphasizes the importance of combining smart technologies with microfluidics in wearable devices, and how they can aid diagnosis and therapy. Finally, the paper covers recent applications, trends, and future developments in the context of intelligent microfluidic wearable devices. Wearable devices are increasingly popular in health monitoring, diagnosis, and drug delivery. Advances allow real-time analysis of biofluids like sweat, tears, saliva, wound fluid, and urine.
引用
收藏
页码:1833 / 1866
页数:34
相关论文
共 308 条
[111]   Human saliva as a diagnostic specimen [J].
Hofman, LF .
JOURNAL OF NUTRITION, 2001, 131 (05) :1621S-1625S
[112]   A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry [J].
Honrado, Carlos ;
McGrath, John S. ;
Reale, Riccardo ;
Bisegna, Paolo ;
Swami, Nathan S. ;
Caselli, Frederica .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2020, 412 (16) :3835-3845
[113]   An automated and portable microfluidic chemiluminescence immunoassay for quantitative detection of biomarkers [J].
Hu, Binfeng ;
Li, Juanjuan ;
Mou, Lei ;
Liu, Yong ;
Deng, Jinqi ;
Qian, Wei ;
Sun, Jiashu ;
Cha, Ruitao ;
Jiang, Xingyu .
LAB ON A CHIP, 2017, 17 (13) :2225-2234
[114]   Smart microneedle patches for wound healing and management [J].
Hu, Fangfang ;
Gao, Qian ;
Liu, Jinxi ;
Chen, Wenting ;
Zheng, Caiyun ;
Bai, Que ;
Sun, Na ;
Zhang, Wenhui ;
Zhang, Yanni ;
Lu, Tingli .
JOURNAL OF MATERIALS CHEMISTRY B, 2023, 11 (13) :2830-2851
[115]   Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review [J].
Huang, Jian-Dong ;
Wang, Jinling ;
Ramsey, Elaine ;
Leavey, Gerard ;
Chico, Timothy J. A. ;
Condell, Joan .
SENSORS, 2022, 22 (20)
[116]   Microfluidic spinning-induced heterotypic bead-on-string fibers for dual-cargo release and wound healing [J].
Huang, Qiu ;
He, Fukun ;
Yu, Jiafei ;
Zhang, Jing ;
Du, Xiangyun ;
Li, Qing ;
Wang, Gefei ;
Yu, Ziyi ;
Chen, Su .
JOURNAL OF MATERIALS CHEMISTRY B, 2021, 9 (11) :2727-2735
[117]   Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches [J].
Hussein, Sarfaraz ;
Kandel, Pujan ;
Bolan, Candice W. ;
Wallace, Michael B. ;
Bagci, Ulas .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 38 (08) :1777-1787
[118]   Point-of-care and self-testing for potassium: recent advances [J].
Hutter, Tanya ;
Collings, Thomas S. ;
Kostova, Gratsiela ;
Frankl, Fiona E. Karet .
SENSORS & DIAGNOSTICS, 2022, 1 (04) :614-626
[119]   Physicochemical and pharmacodynamic evaluation of pioglitazone binary systems with hydrophilic carriers [J].
Ibrahim, Mohamed Abbas ;
Abou El Ela, Amal El Sayeh F. ;
Al-Rasheed, Nouf Mohamed ;
Al-Amin, Maha Abdelrahman .
PHARMACEUTICAL DEVELOPMENT AND TECHNOLOGY, 2019, 24 (07) :883-890
[120]  
Iorgulescu Gabriela, 2009, J Med Life, V2, P303