- MeSH
- Carotenoids MeSH
- Membrane Potentials MeSH
- Spectrum Analysis MeSH
- Anura MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
The treatment of some inborn metabolism errors requires cholesterol substitution therapy. Cholesterol plays a vital role in the human body. Therefore, the majority of cholesterol determination techniques are targeted to blood and blood serum. Nevertheless, cholesterol determination in food is important as well. In this paper, cholesterol determination using differential pulse voltammetry (DPV) in dairy products (e.g., milk, clotted cream, yogurt, butter, etc.) is reported with a novel nonenzymatic sensor based on diphosphonic acid of 1,4-diacetylglycoluril (DPADGU) as an electrode surface modifier. Stable anodic response was obtained from cholesterol on the modified carbon-based electrode. The sensor has high stability, sensitivity (20 μA mol L-1 cm-2), and a wide linear range from 1 up to 200 μM. The LOD and LOQ values are 1.5 and 5.1 μM, respectively. The developed methods were successfully applied to the above mentioned dairy products. Graphical abstract ᅟ.
- MeSH
- Food Analysis instrumentation MeSH
- Biosensing Techniques MeSH
- Cholesterol analysis standards MeSH
- Electrochemical Techniques instrumentation MeSH
- Calibration MeSH
- Catalysis MeSH
- Hydrogen-Ion Concentration MeSH
- Reference Standards MeSH
- Spectroscopy, Fourier Transform Infrared MeSH
- Publication type
- Journal Article MeSH
Glukózové senzory jsou dnes běžnou součástí péče o pacienty s diabetem 1. typu (DM1). Při trvalém použití kontinuální monitorace v reálném čase (rt-CGM) dochází ke snížení výskytu hypoglykemie, snížení glykovaného hemoglobinu, snížení glykemické variability a ke zvýšení času v cílovém rozmezí. Základem běžných systémů pro rt-CGM je transdermální senzor, který se skládá z vnitřní měřicí části (elektrody) a části vnější, do níž se vkládá vysílač. Výjimkou je v tomto ohledu nový implantabilní senzor, který se po provedení drobné kožní incize implantuje celý do podkoží. Následující text podává přehled základních poznatků o novém způsobu monitorace glukózy.
Glucose sensors have become a common part of diabetes care in patients with type 1 diabetes (T1D). Regular usage of real-time continuous glucose monitoring (rt-CGM) reduces the incidence of hypoglycaemia, decreases glycated hemoglobin and glycemic variability and improves time in range. The basic component of conventional rt-CGM is a transdermal sensor, which consists of an internal measuring part (electrode) and an external part for transmitter. In contrast with traditional rt-CGM the new impantable sensor is implanted entirely under the skin after a small incision. The following text provides an overview of basic knowledge of a new way of glucose monitoring.
Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatic-toxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts' feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became very apparent and reasons for this anomaly are discussed.
- MeSH
- Biosensing Techniques classification methods MeSH
- Databases, Factual MeSH
- Food Contamination analysis MeSH
- Humans MeSH
- Mycotoxins chemistry isolation & purification MeSH
- Nanostructures chemistry MeSH
- Pesticides chemistry isolation & purification MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
A non-invasive solution for monitoring of the activity and dehydration of organisms is proposed in the work. For this purpose, a wireless standalone chemical sensor platform using two separate measurement techniques has been developed. The first approach for activity monitoring is based on humidity measurement. Our solution uses new humidity sensor based on a nanostructured TiO2 surface for sweat rate monitoring. The second technique is based on monitoring of potassium concentration in urine. High level of potassium concentration denotes clear occurrence of dehydration. Furthermore, a Wireless Body Area Network (WBAN) was developed for this sensor platform to manage data transfer among devices and the internet. The WBAN coordinator controls the sensor devices and collects and stores the measured data. The collected data is particular to individuals and can be shared with physicians, emergency systems or athletes' coaches. Long-time monitoring of activity and potassium concentration in urine can help maintain the appropriate water intake of elderly people or athletes and to send warning signals in the case of near dehydration. The created sensor system was calibrated and tested in laboratory and real conditions as well. The measurement results are discussed.
- MeSH
- Wireless Technology instrumentation MeSH
- Dehydration diagnosis MeSH
- Equipment Design MeSH
- X-Ray Diffraction MeSH
- Electrodes MeSH
- Calibration MeSH
- Humans MeSH
- Monitoring, Physiologic instrumentation MeSH
- Nanostructures ultrastructure MeSH
- Computer Communication Networks instrumentation MeSH
- Titanium chemistry MeSH
- Humidity MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
High-throughput surface plasmon resonance (SPR) biosensor for rapid and parallelized detection of nucleic acids identifying specific bacterial pathogens is reported. The biosensor consists of a high-performance SPR imaging sensor with polarization contrast and internal referencing (refractive index resolution 2 x 10(-7) RIU) and an array of DNA probes microspotted on the surface of the SPR sensor. It is demonstrated that short sequences of nucleic acids (20-23 bases) characteristic for bacterial pathogens such as Brucella abortus, Escherichia coli, and Staphylococcus aureus can be detected at 100 pM levels. Detection of specific DNA or RNA sequences can be performed in less than 15 min by the reported SPR sensor.
- MeSH
- Bacteria, Aerobic genetics isolation & purification MeSH
- Food Analysis methods MeSH
- Equipment Failure Analysis MeSH
- Biosensing Techniques methods instrumentation MeSH
- Equipment Design MeSH
- DNA, Bacterial analysis genetics MeSH
- Financing, Organized MeSH
- Food Contamination analysis MeSH
- Food Microbiology MeSH
- Surface Plasmon Resonance methods instrumentation MeSH
- Reproducibility of Results MeSH
- Oligonucleotide Array Sequence Analysis instrumentation MeSH
- Sensitivity and Specificity MeSH
- Publication type
- Evaluation Study MeSH
The fall of elderly people is an important public health problem. Fall has physical, but also psychological consequences. For years, many researches were carried out in this fi eld by Scientists of all around the world. Some prototypes provided reliable results but most of them are not yet wearable devices and, further more, not scalable. An embedded fall sensor was developed by TIMC-IMAG laboratory. It is now at the stage of industrialisation. In this paper we will focus on the evaluation of this fall sensor with 14 healthy volunteers on our experimental “fall” platform. We also will describe our original method to determine the reliability of a fall sensor.
- MeSH
- Algorithms MeSH
- Monitoring, Ambulatory methods instrumentation utilization MeSH
- Biomedical Engineering methods instrumentation MeSH
- Electrical Equipment and Supplies MeSH
- Human Experimentation MeSH
- Frail Elderly psychology statistics & numerical data MeSH
- Electronics, Medical methods instrumentation MeSH
- Humans MeSH
- Signal Processing, Computer-Assisted MeSH
- Movement Disorders complications rehabilitation MeSH
- Aged MeSH
- Sensitivity and Specificity MeSH
- Equipment and Supplies MeSH
- Check Tag
- Humans MeSH
- Aged MeSH
