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Special Issue "Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development"

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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
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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

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Keywords

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

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Research

Open AccessArticle

An Intelligent Detector for Sensing Pork Freshness In Situ Based on a Multispectral Technique

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Biosensors 2022, 12(11), 998; https://doi.org/10.3390/bios12110998 - 10 Nov 2022

Viewed by 854

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, 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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Open AccessArticle

Rapid Detection of Clenbuterol Residues in Pork Using Enhanced Raman Spectroscopy

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Biosensors 2022, 12(10), 859; https://doi.org/10.3390/bios12100859 - 11 Oct 2022

Cited by 1 | Viewed by 1063

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 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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Special Issue "Fluorescent Probe and Organ-on-Chip for Drug Delivery and Development"

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