In Vivo Investigation of Polymer-Ceramic PCL/HA and PCL/β-TCP 3D Composite Scaffolds and Electrical Stimulation for Bone Regeneration

Critical bone defects are a major clinical challenge in reconstructive bone surgery. Polycaprolactone (PCL) mixed with bioceramics, such as hydroxyapatite (HA) and tricalcium phosphate (TCP), create composite scaffolds with improved biological recognition and bioactivity. Electrical stimulation (ES) aims to compensate the compromised endogenous electrical signals and to stimulate cell proliferation and differentiation. We investigated the effects of composite scaffolds (PCL with HA; and PCL with β-TCP) and the use of ES on critical bone defects in Wistar rats using eight experimental groups: untreated, ES, PCL, PCL/ES, HA, HA/ES, TCP, and TCP/ES. The investigation was based on histomorphometry, immunohistochemistry, and gene expression analysis. The vascular area was greater in the HA/ES group on days 30 and 60. Tissue mineralization was greater in the HA, HA/ES, and TCP groups at day 30, and TCP/ES at day 60. Bmp-2 gene expression was higher in the HA, TCP, and TCP/ES groups at day 30, and in the TCP/ES and PCL/ES groups at day 60. Runx-2, Osterix, and Osteopontin gene expression were also higher in the TCP/ES group at day 60. These results suggest that scaffolds printed with PCL and TCP, when paired with electrical therapy application, improve bone regeneration.

New Insights into the Biosensing of Parkinson's Disease Biomarkers: A Concise Review

Background: Parkinson's disease (PD) is a long-term, degenerative, and neurological disease in which a person loses control of certain body functions. The formulation of novel effective therapeutics for PD as a neurodegenerative disease requires accurate and efficient diagnosis at the early stages. Objective: Analyzing data gathered by measurable signals converted from biological reactions allows for qualitative and quantitative evaluations. Among various approaches reported so far, biosensors are powerful analytical tools that have been used in detecting the biomarkers of PD. Methods: Biosensor’s biological recognition components include antibodies, receptors, microorganisms, nucleic acids, enzymes, cells and tissues, and biomimetic structures. This review introduces electrochemical, optical, and optochemical detection of PD biomarkers based on recent advances in nanotechnology and material science, which resulted in the development of high-performance biosensors in this field. Conclusion: The development of novel biosensors is required for the early diagnosis of PD as sensitive, rapid, reliable, and cost-effective systems.

Rapid Detection of Multiple Classes of β-Lactam Antibiotics in Blood Using an NDM-1 Biosensing Assay

Currently, assays for rapid therapeutic drug monitoring (TDM) of β-lactam antibiotics in blood, which might be of benefit in optimizing doses for treatment of critically ill patients, remain challenging. Previously, we developed an assay for determining the penicillin-class antibiotics in blood using a thermometric penicillinase biosensor. The assay eliminates sample pretreatment, which makes it possible to perform semicontinuous penicillin determinations in blood. However, penicillinase has a narrow substrate specificity, which makes it unsuitable for detecting other classes of β-lactam antibiotics, such as cephalosporins and carbapenems. In order to assay these classes of clinically useful antibiotics, a novel biosensor was developed using New Delhi metallo-β-lactamase-1 (NDM-1) as the biological recognition layer. NDM-1 has a broad specificity range and is capable of hydrolyzing all classes of β-lactam antibiotics in high efficacy with the exception of monobactams. In this study, we demonstrated that the NDM-1 biosensor was able to quantify multiple classes of β-lactam antibiotics in blood plasma at concentrations ranging from 6.25 mg/L or 12.5 mg/L to 200 mg/L, which covered the therapeutic concentration windows of the tested antibiotics used to treat critically ill patients. The detection of ceftazidime and meropenem was not affected by the presence of the β-lactamase inhibitors avibactam and vaborbactam, respectively. Furthermore, both free and protein-bound β-lactams present in the antibiotic-spiked plasma samples were detected by the NDM-1 biosensor. These results indicated that the NDM-1 biosensor is a promising technique for rapid TDM of total β-lactam antibiotics present in the blood of critically ill patients.

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook.

Electroanalytical Overview: Electrochemical Sensing Platforms for Food and Drink Safety

Robust, reliable, and affordable analytical techniques are essential for screening and monitoring food and water safety from contaminants, pathogens, and allergens that might be harmful upon consumption. Recent advances in decentralised, miniaturised, and rapid tests for health and environmental monitoring can provide an alternative solution to the classic laboratory-based analytical techniques currently utilised. Electrochemical biosensors offer a promising option as portable sensing platforms to expedite the transition from laboratory benchtop to on-site analysis. A plethora of electroanalytical sensor platforms have been produced for the detection of small molecules, proteins, and microorganisms vital to ensuring food and drink safety. These utilise various recognition systems, from direct electrochemical redox processes to biological recognition elements such as antibodies, enzymes, and aptamers; however, further exploration needs to be carried out, with many systems requiring validation against standard benchtop laboratory-based techniques to offer increased confidence in the sensing platforms. This short review demonstrates that electroanalytical biosensors already offer a sensitive, fast, and low-cost sensor platform for food and drink safety monitoring. With continued research into the development of these sensors, increased confidence in the safety of food and drink products for manufacturers, policy makers, and end users will result.

Glyconanomaterials for Human Virus Detection and Inhibition

Viruses are among the most infectious pathogens, responsible for the highest death toll around the world. Lack of effective clinical drugs for most viral diseases emphasizes the need for speedy and accurate diagnosis at early stages of infection to prevent rapid spread of the pathogens. Glycans are important molecules which are involved in different biological recognition processes, especially in the spread of infection by mediating virus interaction with endothelial cells. Thus, novel strategies based on nanotechnology have been developed for identifying and inhibiting viruses in a fast, selective, and precise way. The nanosized nature of nanomaterials and their exclusive optical, electronic, magnetic, and mechanical features can improve patient care through using sensors with minimal invasiveness and extreme sensitivity. This review provides an overview of the latest advances of functionalized glyconanomaterials, for rapid and selective biosensing detection of molecules as biomarkers or specific glycoproteins and as novel promising antiviral agents for different kinds of serious viruses, such as the Dengue virus, Ebola virus, influenza virus, human immunodeficiency virus (HIV), influenza virus, Zika virus, or coronavirus SARS-CoV-2 (COVID-19).

Biosensors: Design, Development and Applications

The ability to detect even the slightest physiological change in the human body with high sensitivity and accurately monitor processes that impact human nature and their surroundings has led to an immense improvement in the quality of life. Biosensors continue to play a critical role across a myriad of fields including biomedical diagnosis, monitoring of treatment and disease progression, drug discovery, food control and environmental monitoring. These novel analytical tools are small devices that use a biological recognition system to investigate or detect molecules. This chapter covers the design and development of biosensors, beginning with a brief historical overview. The working principle and important characteristics or attributes of biosensors will also be addressed. Furthermore, the basic types of biosensors and the general applications of these biosensors in various fields will be discussed.

Development of membrane in microfluidic device for sorting and detection for potential heterogeneity investigation

Membrane fabrication and integration with microfluidic devices has received increased attention for applications including bio-detection (a device providing analytical information in a selective and quantitative manner using a biological recognition element), membrane-based separation, and biological sample purification. The main challenges associated with these applications have been: 1) meeting sensitivity/selectivity requirements, 2) decreasing costs, 3) maintaining the mechanical stability of the membrane, 4) offering high throughput. Therefore, the main goal of this study was to demonstrate size-based membrane separation and bio-detection using double layer channel developed in our lab and to show how the membrane integrated channel can selectively separate rod shape cell separation with various aspect ratio based on size and enhance bio detection rate with flow. Based on an existing double-channel and cross-flow microfluidics platform, we explored various polymeric materials for fabricating porous membranes to use in pore-size-dependent separation. We induced pores via stop-flow lithography, and investigated membrane properties and limitations for pore-size-dependent separation. We investigated potential applications of poly(ethylene glycol) diacrylate (PEGDA)-based membrane integrated platforms in biological molecule detection based on streptavidin and biotin interaction. We demonstrated that flow and concentrations can enhance target detection in this platform.

Development of membrane in microfluidic device for sorting and detection for potential heterogeneity investigation

Membrane fabrication and integration with microfluidic devices has received increased attention for applications including bio-detection (a device providing analytical information in a selective and quantitative manner using a biological recognition element), membrane-based separation, and biological sample purification. The main challenges associated with these applications have been: 1) meeting sensitivity/selectivity requirements, 2) decreasing costs, 3) maintaining the mechanical stability of the membrane, 4) offering high throughput. Therefore, the main goal of this study was to demonstrate size-based membrane separation and bio-detection using double layer channel developed in our lab and to show how the membrane integrated channel can selectively separate rod shape cell separation with various aspect ratio based on size and enhance bio detection rate with flow. Based on an existing double-channel and cross-flow microfluidics platform, we explored various polymeric materials for fabricating porous membranes to use in pore-size-dependent separation. We induced pores via stop-flow lithography, and investigated membrane properties and limitations for pore-size-dependent separation. We investigated potential applications of poly(ethylene glycol) diacrylate (PEGDA)-based membrane integrated platforms in biological molecule detection based on streptavidin and biotin interaction. We demonstrated that flow and concentrations can enhance target detection in this platform.