Microfluidic-Chip-Integrated Biosensors for Lung Disease Models

Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OO...

Full description

Bibliographic Details
Main Authors: Shuang Ding, Haijun Zhang, Xuemei Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/11/11/456
_version_ 1827677157093015552
author Shuang Ding
Haijun Zhang
Xuemei Wang
author_facet Shuang Ding
Haijun Zhang
Xuemei Wang
author_sort Shuang Ding
collection DOAJ
description Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OOC) platforms—including lung-on-a-chip (LOC)—have emerged rapidly, with the ability to reproduce the in vivo features of organs or tissues based on their three-dimensional (3D) structures. Furthermore, the integration of biosensors in the chip allows researchers to monitor various parameters related to disease development and drug efficacy. In this review, we illustrate the biosensor-based LOC modeling, further discussing the future challenges as well as perspectives in integrating biosensors in OOC platforms.
first_indexed 2024-03-10T05:40:09Z
format Article
id doaj.art-421e8c23c4bc42b89a793bf825a0372e
institution Directory Open Access Journal
issn 2079-6374
language English
last_indexed 2024-03-10T05:40:09Z
publishDate 2021-11-01
publisher MDPI AG
record_format Article
series Biosensors
spelling doaj.art-421e8c23c4bc42b89a793bf825a0372e2023-11-22T22:36:26ZengMDPI AGBiosensors2079-63742021-11-01111145610.3390/bios11110456Microfluidic-Chip-Integrated Biosensors for Lung Disease ModelsShuang Ding0Haijun Zhang1Xuemei Wang2Department of Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, ChinaDepartment of Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, ChinaState Key Laboratory of Bioelectronics, School of Biomedical Engineering, Southeast University, Nanjing 210096, ChinaLung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OOC) platforms—including lung-on-a-chip (LOC)—have emerged rapidly, with the ability to reproduce the in vivo features of organs or tissues based on their three-dimensional (3D) structures. Furthermore, the integration of biosensors in the chip allows researchers to monitor various parameters related to disease development and drug efficacy. In this review, we illustrate the biosensor-based LOC modeling, further discussing the future challenges as well as perspectives in integrating biosensors in OOC platforms.https://www.mdpi.com/2079-6374/11/11/456biosensormicrofluidicsorgan-on-a-chiplung modellung-on-a-chip
spellingShingle Shuang Ding
Haijun Zhang
Xuemei Wang
Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
Biosensors
biosensor
microfluidics
organ-on-a-chip
lung model
lung-on-a-chip
title Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_full Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_fullStr Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_full_unstemmed Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_short Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_sort microfluidic chip integrated biosensors for lung disease models
topic biosensor
microfluidics
organ-on-a-chip
lung model
lung-on-a-chip
url https://www.mdpi.com/2079-6374/11/11/456
work_keys_str_mv AT shuangding microfluidicchipintegratedbiosensorsforlungdiseasemodels
AT haijunzhang microfluidicchipintegratedbiosensorsforlungdiseasemodels
AT xuemeiwang microfluidicchipintegratedbiosensorsforlungdiseasemodels