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Biosensors
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Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development
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Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 6159

Special Issue Editor

Dr. Bo Peng

E-Mail Website
Guest Editor
Frontiers Science Center for Flexible Electronics, Xi’an Institute of Flexible Electronics (IFE) and Xi’an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Interests: bioimaging; stimulus-responsive chemistry; organ-on-chips and drug discovery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microfluidic-based Organ-on-Chip technology is proposed to fill in the blanks in traditional two-dimensional (2D) cell culture and animal models, and further gradually replace animal studies. As a product of the progressive development of microfluidic technology, Organ-on-Chip combines microfluidic technology with cell biology, which faithfully mimic the physiological microenvironment of in vivo target organs, making it a great platform for the research of drug delivery and development.

Nowadays, due to its high temporal and spatial resolution, fluorescence imaging technology has become one of the most effective techniques in monitoring of the production, transport and biological functions of biomolecules in the context of life systems. Organ-on-Chip utilizes transparent materials which are highly compatible with various types of microscopy. Therefore, the application of fluorescence probes in Organ-on-Chip holds great potential in many different research fields, such as biology, clinical diagnosis, and drug discovery and development.

Dr. Bo Peng
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microfluidics
  • organs-on-chips
  • fluorescent probes
  • nanomedicine
  • drug delivery
  • drug development

Published Papers (3 papers)

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Research

16 pages, 2769 KiB  
Article
Fluoropolymer Functionalization of Organ-on-Chip Platform Increases Detection Sensitivity for Cannabinoids
by Ziqiu Tong, Lars Esser, Peter Galettis, David Rudd, Christopher D. Easton, Azadeh Nilghaz, Bo Peng, Douer Zhu, Helmut Thissen, Jennifer H. Martin and Nicolas H. Voelcker
Biosensors 2023, 13(8), 779; https://doi.org/10.3390/bios13080779 - 01 Aug 2023
Cited by 1 | Viewed by 1582
Abstract
Microfluidic technology is applied across various research areas including organ-on-chip (OOC) systems. The main material used for microfluidics is polydimethylsiloxane (PDMS), a silicone elastomer material that is biocompatible, transparent, and easy to use for OOC systems with well-defined microstructures. However, PDMS-based OOC systems [...] Read more.
Microfluidic technology is applied across various research areas including organ-on-chip (OOC) systems. The main material used for microfluidics is polydimethylsiloxane (PDMS), a silicone elastomer material that is biocompatible, transparent, and easy to use for OOC systems with well-defined microstructures. However, PDMS-based OOC systems can absorb hydrophobic and small molecules, making it difficult and erroneous to make quantitative analytical assessments for such compounds. In this paper, we explore the use of a synthetic fluoropolymer, poly(4,5-difluoro-2,2-bis(trifluoromethyl)-1,3-dioxole-co-tetrafluoroethylene) (Teflon™ AF 2400), with excellent “non-stick” properties to functionalize OOC systems. Cannabinoids, including cannabidiol (CBD), are classes of hydrophobic compounds with a great potential for the treatment of anxiety, depression, pain, and cancer. By using CBD as a testing compound, we examined and systematically quantified CBD absorption into PDMS by means of an LC-MS/MS analysis. In comparison to the unmodified PDMS microchannels, an increase of approximately 30× in the CBD signal was detected with the fluoropolymer surface modification after 3 h of static incubation. Under perfusion conditions, we observed an increase of nearly 15× in the CBD signals from the surface-modified microchannels than from the unmodified microchannels. Furthermore, we also demonstrated that fluoropolymer-modified microchannels are compatible for culturing hCMEC/D3 endothelial cells and for CBD perfusion experiments. Full article
(This article belongs to the Special Issue Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development)
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14 pages, 4682 KiB  
Article
An Intelligent Detector for Sensing Pork Freshness In Situ Based on a Multispectral Technique
by Wenlong Zou, Yankun Peng, Deyong Yang, Jiewen Zuo, Yang Li and Qinghui Guo
Biosensors 2022, 12(11), 998; https://doi.org/10.3390/bios12110998 - 10 Nov 2022
Cited by 3 | Viewed by 1805
Abstract
Fresh pork is prone to spoilage during storage, transportation, and sale, resulting in reduced freshness. The total viable count (TVC) and total volatile basic nitrogen (TVB-N) content are key indicators for evaluating the freshness of fresh pork, and when they reach unacceptable limits, [...] Read more.
Fresh pork is prone to spoilage during storage, transportation, and sale, resulting in reduced freshness. The total viable count (TVC) and total volatile basic nitrogen (TVB-N) content are key indicators for evaluating the freshness of fresh pork, and when they reach unacceptable limits, this seriously threatens dietary safety. To realize the on-site, low-cost, rapid, and non-destructive testing and evaluation of fresh pork freshness, a miniaturized detector was developed based on a cost-effective multi-channel spectral sensor. The partial least squares discriminant analysis (PLS-DA) model was used to distinguish fresh meat from deteriorated meat. The detector consists of microcontroller, light source, multi-channel spectral sensor, heat-dissipation modules, display system, and battery. In this study, the multispectral data of pork samples with different freshness levels were collected by the developed detector, and its ability to distinguish pork freshness was based on different spectral shape features (SSF) (spectral ratio (SR), spectral difference (SD), and normalized spectral intensity difference (NSID)) were compared. The experimental results show that compared with the original multispectral modeling, the performance of the model based on spectral shape features is significantly improved. The model established by optimizing the spectral shape feature variables has the best performance, and the discrimination accuracy of its prediction set is 91.67%. In addition, the validation accuracy of the optimal model was 86.67%, and its sensitivity and variability were 87.50% and 85.71%, respectively. The results show that the detector developed in this study is cost-effective, compact in its structure, stable in its performance, and suitable for the on-site digital rapid non-destructive testing of freshness during the storage, transportation, and sale of fresh pork. Full article
(This article belongs to the Special Issue Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development)
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10 pages, 2864 KiB  
Article
Rapid Detection of Clenbuterol Residues in Pork Using Enhanced Raman Spectroscopy
by Qinghui Guo, Yankun Peng, Xinlong Zhao and Yahui Chen
Biosensors 2022, 12(10), 859; https://doi.org/10.3390/bios12100859 - 11 Oct 2022
Cited by 6 | Viewed by 1936
Abstract
Clenbuterol (CB) is a synthetic β-receptor agonist which can be used to improve carcass leanness in swine, but its residues in pork also pose health risks. In this report, surface-enhanced Raman scattering (SERS) technology was used to achieve rapid detection and identification [...] Read more.
Clenbuterol (CB) is a synthetic β-receptor agonist which can be used to improve carcass leanness in swine, but its residues in pork also pose health risks. In this report, surface-enhanced Raman scattering (SERS) technology was used to achieve rapid detection and identification of clenbuterol hydrochloride (CB) residues. First, the effects of several different organic solvents on the extraction efficiency were compared, and it was found that clenbuterol in pork had a better enhancement effect using ethyl acetate as an extraction agent. Then, SERS signals of clenbuterol in different solvents were compared, and it was found that clenbuterol had a better enhancement effect in an aqueous solution. Therefore, water was chosen as the solvent for clenbuterol detection. Next, enhancement effect was compared using different concentration of sodium chloride solution as the aggregating compound. Finally, pork samples with different clenbuterol content (1, 3, 5, 7, 9, and 10 µg/g) were prepared for quantitative analysis. The SERS spectra of samples were collected with 0.5 mol/L of NaCl solution as aggregating compound and gold colloid as an enhanced substrate. Multiple scattering correction (MSC) and automatic Whittaker filter (AWF) were used for preprocessing, and the fluorescence background contained in the original Raman spectra was removed. A unary linear regression model was established between SERS intensity at 1472 cm-1 and clenbuterol content in pork samples. The model had a better linear relationship with a correlation coefficient R2 of 0.99 and a root mean square error of 0.263 µg/g. This method can be used for rapid screening of pork containing clenbuterol in the market. Full article
(This article belongs to the Special Issue Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development)
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