journal article·2018-09-12

Fluorescence-Based Nano-Oxygen Particles for Spatiometric Monitoring of Cell Physiological Conditions

Manohar Prasad Koduri, Venkanagouda S. Goudar, Yu-Wei Shao, John A. Hunt, James R. Henstock, Judith Curran, Fan Gang Tseng

ACS Applied Materials & Interfaces· Volume 10· Issue 36
Publisher page

Abstract

Closed-loop artificial pancreas systems have recently been proposed as a solution for treating stage I diabetes by reproducing the function of the pancreas. However, there are many unresolved issues associated with their development, including monitoring and controlling oxygen, immune responses, and the optimization of glucose, all of which need to be monitored and controlled to produce an efficient and viable artificial organ that can become integrated in the patient and maintain homeostasis. This research focused on monitoring the oxygen concentration, specifically achieving this kinetically as the oxygen gradient in an artificial pancreas made of alginate spheres containing islet cells. Functional nanoparticles (NPs) for measuring the oxygen gradient in different hydrogel cellular environments using fluorescence-based (F) microscopy were developed and tested. By the ester bond, a linker Pluronic F127 was conjugated with a carboxylic acid-modified polystyrene NP (510 nm). A hydrophilic/hydrophobic interaction between the commercially available oxygen-sensitive fluorophore and F127 results in fluorescence-based nano-oxygen particles (FNOPs). The in-house synthesized FNOP was calibrated inside electrosprayed alginate-filled hydrogels and demonstrated a good broad dynamic range (2.73-22.23) mg/L as well as a resolution of -0.01 mg/L with an accuracy of ±4%. The calibrated FNOP was utilized for continuous measuring of the oxygen concentration gradient for cell lines RIN-m5F/HeLa for more than 5 days in alginate hydrogel spheres in vitro.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Analytical Chemistry and Sensors · Pancreatic function and diabetes · Electrochemical sensors and biosensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical, Materials and Aerospace, School of Engineering, University of Liverpool, Harrison Hughes Building, Liverpool L69 3GH, U.K.

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, U.K.

Institute of Ageing and Chronic Disease, University of Liverpool, William Henry Duncan Building, Liverpool L7 8TX, U.K.

Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan 11529, ROC

Funding

Ministry of Education · National Tsing Hua University · Ministry of Science and Technology, Taiwan

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