Continuous Blood Gas Control Based on Active Disturbance Rejection Control During Ex Vivo Porcine Liver Perfusion.

Background: Membrane oxygenators facilitate extracorporeal gas exchange, necessitating the monitoring of blood gas. Recent advances in normothermic machine perfusion (NMP) for ex vivo liver offer solutions to the shortage of donor liver. However, maintaining physiological blood gas levels during prolonged NMP is complex and costly.

A ddPCR platform based on a microfluidic chip with a dual-function flow-focusing structure for sample-to-result DNA quantification analysis.

Droplet digital PCR (ddPCR) is a powerful method for absolute nucleic acid quantification with high precision and accuracy. However, complicated operational steps have hampered the use and diffusion of ddPCR. Therefore, an automated, easy-to-use, low-sample-consumption, and portable ddPCR platform is urgently needed.

Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection.

Problem: Organoids are 3D cultures that are commonly used for biological and medical research in vitro due to their functional and structural similarity to source organs. The development of organoids can be assessed by morphological tests. However, manual analysis of organoid morphology requires intensive labor from professionals and is prone to observer discrepancies.

[Design of a dynamic measurement system for Bl factor spatial distribution of resonant blood viscoelastic sensor].

factor is a key system parameter of the resonant blood viscoelastic sensor. In this paper, a dynamic measurement system for the spatial distribution of factor based on velocity amplitude and motional impedance was designed. The system extracted the velocity amplitude and motional impedance of the coil under the dynamic condition of driving the sensor to generate simple harmonic oscillations using laser displacement and impedance analysis combined with in-phase/quadrature demodulation algorithm, and controlled the equilibrium position of the coil by adjusting the direct current component of the excitation current to realize the position scanning.

An approach for integrating droplet generation and detection in digital polymerase chain reaction applications based on a bifunctional microfluidic cross-structure.

Digital polymerase chain reaction (dPCR) is an approach for absolute nucleic acid quantification with high sensitivity. Although several successful commercial dPCR devices have been developed to date, further miniaturizing device dimensions, decreasing cross-contamination, and improving automation level are still research highlights. In this study, we developed a fully contamination-free dPCR detection chip with fluorescence flow cytometry and micro droplet approach.

Prediction of Sleep Apnea Events Using a CNN-Transformer Network and Contactless Breathing Vibration Signals.

It is estimated that globally 425 million subjects have moderate to severe obstructive sleep apnea (OSA). The accurate prediction of sleep apnea events can offer insight into the development of treatment therapies. However, research related to this prediction is currently limited.

[Design and experiment of online monitoring system for long-term culture of embryo].

In the study of embryo development process, the morphological features at different stages are essential to evaluate developmental competence of the embryo, which can be used to optimize and improve the system for embryo culture. In this paper, an online monitoring system was designed for long-term culture of embryos, based on a monitoring strategy of low-magnification search and high-magnification observation. Three optical modules of 4× phase contrast, 10× and 20× Hoffman modulation phase contrast were configured in this system to meet the requirements of different fields of view, especially when the size of the embryo increases during the culture.

[Design of Dyson Flow Cytometry System].

In order to meet the needs of the flow cytometry for the simultaneous analysis of multiple fluorescence wavelengths and small volume, the design method of flow cytometry spectrum analysis system is presented by analyzing the characteristics of Dyson structure. And according to the method, a flow cytometry spectrum analysis system is disigned with Dyson type.The system's spectral range is 400 nm to 800 nm, the defocused spot size is less than the pixel size 24μ mm, the ransfer function value is above 0.

Identification of glutathione by voltammetric analysis with rolling circle amplification.

Glutathione (GSH), a common tripeptide, plays an essential role in a variety of cellular functions. GSH level is reported to be closely related to human health. In this study, we fabricate an ultrasensitive electrochemical biosensor for GSH quantification.

Near-Infrared Ag2S Quantum Dots-Based DNA Logic Gate Platform for miRNA Diagnostics.

Dysregulation of miRNA expression is correlated with the development and progression of many diseases. These miRNAs are regarded as promising biomarkers. However, it is challenging to measure these low abundant molecules without employing time-consuming radioactive labeling or complex amplification strategies.

DNA tetrahedron and star trigon nanostructures for target recycling detection of nucleic acid.

Human immunodeficiency virus (HIV) is a retrovirus which attacks the human body's immune system and further leads to acquired immunodeficiency syndrome (AIDS). Nucleic acid detection is of great importance in the medical diagnosis of such diseases. Herein, we develop a simple and enzyme-free electrochemical method for the target recycling detection of nuclei acid.

An elastography analytical method for the rapid detection of endotoxin.

We present a flexible analytical method for the study of coagulation systems by monitoring elastography (EG). The rapid detection of endotoxin is achieved by the EG analysis of endotoxin-induced limulus amebocyte lysate coagulation. This method is superior to other methods using the same reagents in not only sensitivity but also detecting time.

Electrochemical detection of aqueous Ag+ based on Ag+-assisted ligation reaction.

In this work, a novel strategy to fabricate a highly sensitive and selective biosensor for the detection of Ag(+) is proposed. Two DNA probes are designed and modified on a gold electrode surface by gold-sulfur chemistry and hybridization. In the presence of Ag(+), cytosine-Ag(+)-cytosine composite forms and facilitates the ligation event on the electrode surface, which can block the release of electrochemical signals labeled on one of the two DNA probes during denaturation process.

Tetrahedral DNA nanostructure-based microRNA biosensor coupled with catalytic recycling of the analyte.

MicroRNAs are not only important regulators of a wide range of cellular processes but are also identified as promising disease biomarkers. Due to the low contents in serum, microRNAs are always difficult to detect accurately . In this study, an electrochemical biosensor for ultrasensitive detection of microRNA based on tetrahedral DNA nanostructure is developed.

Ultrasensitive detection of microRNA through rolling circle amplification on a DNA tetrahedron decorated electrode.

MicroRNAs are a class of evolutionally conserved, small noncoding RNAs involved in the regulation of gene expression and affect a variety of biological processes including cellular differentiation, immunological response, tumor development, and so on. Recently, microRNAs have been identified as promising disease biomarkers. In this work, we have fabricated a novel electrochemical method for ultrasensitive detection of microRNA.

Recent advances in carbon nanodots: synthesis, properties and biomedical applications.

Herein, a mini review is presented concerning the most recent research progress of carbon nanodots, which have emerged as one of the most attractive photoluminescent materials. Different synthetic methodologies to achieve advanced functions and better photoluminescence performances are summarized, which are mainly divided into two classes: top-down and bottom-up. The inspiring properties, including photoluminescence emission, chemiluminescence, electrochemical luminescence, peroxidase-like activity and toxicity, are discussed.

An aptasensor for detection of potassium ions based on RecJ(f) exonuclease mediated signal amplification.

An electrochemical biosensor for potassium has been developed combining specific potassium-aptamer binding and RecJf exonuclease mediated signal amplification. Generally, the DNA probe with a stem-loop structure containing an anti-K(+) aptamer sequence is designed and modified on a gold electrode. K(+) can specifically bind to the aptamer and a G-quadruplex structure forms, which breaks the original stem-loop structure.

Ultrasensitive electrochemical detection of microRNA with star trigon structure and endonuclease mediated signal amplification.

MicroRNAs play important roles in gene regulation. They can be used as effective biomarkers for diagnosis and prognosis of diseases like cancers. Due to their intrinsic properties of short length, low abundance and sequence homology among family members, it is difficult to realize sensitive and selective detection with economical use of time and cost.

Melamine functionalized silver nanoparticles as the probe for electrochemical sensing of clenbuterol.

Clenbuterol, a member of β-agonist family, has now been a serious threat to human health due to its illegal usage in the livestock feeding. Herein, we describe the application of melamine functionalized silver nanoparticles (M-AgNPs) as the electrochemical probe for simple, fast, highly sensitive and selective detection of clenbuterol. Generally, AgNPs are prepared and functionalized by melamine.

[High-precision 3D morphology measurement by digital gatling method based on structured light].

In order to measure the microscopic 3D morphology of the objects with high-precision, a 3D texture measurement system of digital gatling based on structured light was designed, which can calculate the 3D height information with the analytic phase method. First, the authors collected sixteen equal step phase images by the four-step equal step method, and calculated their main value by dividing them into four groups. Then, the authors found the average as the final phase main value.