Sensitive chemical sensor array based on nanozymes for discrimination of metal ions and teas

Tea, originating from China, is an important part of Chinese traditional culture. There are different qualities of and producing areas for tea on the market, therefore it is necessary to discriminate between teas in a fast and accurate way. In this study, a chemical sensor array based on nanozymes was developed to discriminate between different metal ions and teas. The indicators for the sensor array are three kinds of nanozymes mimicking laccase (Cu‐ATP, Cu‐ADP, Cu‐AMP). The as‐developed sensor array successfully discriminated 12 metal ions and the detection limit was as low as 0.01 μM. The as‐developed sensor array was also able to discriminate tea samples. Different kinds of tea samples appeared in different areas in the canonical score plot with different response patterns. Furthermore, in a blind experiment, we successfully discriminated 12 samples with a 100% accuracy. This sensor array integrates chemistry and food science together, realizing the simultaneous detection of several kinds of teas using a sensitive method. The as‐developed sensor array would have an application in the tea market and provide a fast and easy method to discriminate between teas.     

A colorimetric sensor array based on natural pigments for the discrimination of saccharides

A colorimetric sensor array based on natural pigments was developed to discriminate between various saccharides. Anthocyanins, pH‐sensitive natural pigments, were extracted from fruits and flowers and used as components of the sensor array. Variation in pH, due to the reaction between saccharides and boronic acids, caused obvious colour changes in the natural pigments. Only by observing the difference map with the naked eye could 11 common saccharides be divided into independent individuals. In conjunction with pattern recognition, the sensor array clearly differentiated between sugar and sugar alcohol with highly accuracy and allowed rapid quantification of different concentrations of maltitol and fructose. This sensor array for saccharides is expected to become a promising alternative tool for food monitoring. The link between anthocyanin and saccharide detection opened a new guiding direction for the application of anthocyanins in foods.     

Opercular differential pressure as a predictor of metabolic oxygen demand in the starry flounder

The feasibility of using a differential pressure sensor connected to an acoustic telemetry device to monitor opercular activity as a correlate of oxygen consumption was investigated. Four starry flounders Platichthys stellatus were fitted with a miniature differential pressure sensor mounted close to the operculum. A cannula was connected to the sensor and inserted under the operculum, inside the branchial cavity. Measurements of oxygen consumption and opercular activity were carried out over a broad range of metabolic activity, from the post‐surgery stress (high metabolic rate) to routine metabolic rate the following day. Relationships between differential pressure changes (rate and amplitude) were highly correlated with oxygen consumption ( r ² = 0·74 and 0·60 respectively). The results indicate that monitoring opercular activity offers an alternative method for measuring aerobic metabolism in free‐swimming fishes in nature.     

Volatile Emissions from Compressed Tissue

Since almost every fifth patient treated in hospital care develops pressure ulcers, early identification of risk is important. A non-invasive method for the elucidation of endogenous biomarkers related to pressure ulcers could be an excellent tool for this purpose. We therefore found it of interest to determine if there is a difference in the emissions of volatiles from compressed and uncompressed tissue. The ultimate goal is to find a non-invasive method to obtain an early warning for the risk of developing pressure ulcers for bed-ridden persons. Chemical analysis of the emissions, collected in compresses, was made with gas-chromatography – mass spectrometry and with a chemical sensor array, the so called electronic nose. It was found that the emissions from healthy and hospitalized persons differed significantly irrespective of the site. Within each group there was a clear difference between the compressed and uncompressed site. Peaks that could be certainly deemed as markers of the compression were, however, not identified. Nonetheless, different compounds connected to the application of local mechanical pressure were found. The results obtained with GC-MS reveal the complexity of VOC composition, thus an array of non-selective chemical sensors seems to be a suitable choice for the analysis of skin emission from compressed tissues; it may represent a practical instrument for bed side diagnostics. Results show that the adopted electronic noses are likely sensitive to the total amount of the emission rather than to its composition. The development of a gas sensor-based device requires then the design of sensor receptors adequate to detect the VOCs bouquet typical of pressure. This preliminary experiment evidences the necessity of studies where each given person is followed for a long time in a ward in order to detect the insurgence of specific VOCs pattern changes signalling the occurrence of ulcers.     

Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map

For controlling dexterous prosthetic hand with a high number of active Degrees of Freedom (DOF),it is necessary to reliably extract control volitions of finger motions from the human body.In this study,a large variety of finger motions are discriminated based on the diversities of the pressure distribution produced by the mechanical actions of muscles on the forearm.The pressure distribution patterns corresponding to the motions were measured by sensor array which is composed of 32 Force Sensitive Resistor (FSR) sensors.In order to map the pressure patterns with different finger motions,a multiclass classifier was designed based on the Support Vector Machine (SVM) algorithm.The multi-subject experiments show that it is possible to identify as many as seventeen different finger motions,including individual finger motions and multi-finger grasping motions,with the accuracy above 99％ in the in-session validation.Further,the cross-session validation demonstrates that the performance of the proposed method is robust for use if the FSR array is not reset.The results suggest that the proposed method has great application prospects for the control of multi-DOF dexterous hand prosthesis.     

An immersible manometric sensor for measurement of humidity and enzyme mediated changes in dissolved gas

An immersible manometric sensor was made by covering the gaseous cavity of a pressure transducer with a 1 microm controlled pore membrane. Transfer of gas across the membrane allowed the pressure transducer to record changes in humidity or dissolved gas when immersed in solution. By immersing the sensor in distilled water, atmospheric humidity could be estimated by the deficit of atmospheric vapor pressure from saturation. In another application of the sensor, CO(2) was monitored continuously. This was not possible in previous closed-reactor type manometric sensors, and may allow the new technology to be used in applications requiring continuous monitoring of a process or stream. By coupling the sensor with enzymes liberating or consuming dissolved gas, different chemicals could be estimated. Urea was estimated by first hydrolyzing it with urease and then measuring the resulting CO(2) gas in solution. Glucose was measured through its enzymatic oxidation by glucose oxidase. The sensitivity to urea over the range 0-2.5 mM was about 1.02 kPa/mM, and the standard error was 0.086 mM. Due to the lower solubility of oxygen, the sensitivity to glucose in a range from 0 to 10 microM was over 100 kPa/mM, with a standard error of only 0.76 microM. This sensitivity was not possible in closed-reactor type manometric sensors due to constraints of dimensioning the head space gas volume for reproducibility and effective mass transfer. The 90% rise times for the sensor ranged from about 1-60 min for the different applications. The dynamic characteristics of the device may be improved by using a membrane with greater porosity, higher rigidity and lower thickness, and by reducing the dimensions of the cavity volume in the sensor through integrated microfabrication of the membrane onto the transducer.     

A method for estimating three-dimensional human arm movement with two electromagnetic sensors

Measurement of upper-limb movements is important in various domains. In this article, an upper-limb three-dimensional movement recording technique is proposed based on only two electromagnetic sensors. Two joints are considered with a total of seven degrees of freedom (DoF; three translations and four rotations). The chosen sequence of joint rotations is compliant with ISB recommendations: the shoulder is modelled with a ball and socket joint with three DoF and the elbow with a one DoF revolute joint. This article is focused on the procedure used to calibrate and sense the upper-limb movements from the raw data coming from the flock of birds sensors. The principle of the method is to define the centre of the wrist, elbow and shoulder joints in the frame of the adequate sensor. This operation is done by performing calibration gestures. Results are proposed and commented.     

A method for estimating three-dimensional human arm movement with two electromagnetic sensors

Measurement of upper-limb movements is important in various domains. In this article, an upper-limb three-dimensional movement recording technique is proposed based on only two electromagnetic sensors. Two joints are considered with a total of seven degrees of freedom (DoF; three translations and four rotations). The chosen sequence of joint rotations is compliant with ISB recommendations: the shoulder is modelled with a ball and socket joint with three DoF and the elbow with a one DoF revolute joint. This article is focused on the procedure used to calibrate and sense the upper-limb movements from the raw data coming from the flock of birds sensors. The principle of the method is to define the centre of the wrist, elbow and shoulder joints in the frame of the adequate sensor. This operation is done by performing calibration gestures. Results are proposed and commented.     

Transformation of whole-head MEG recordings between different sensor positions.

In this work, a method is presented for the transformation of MEG recordings to a standard sensor position. For the case of an 148 channel magnetometer array, the algorithm was evaluated using simulations as well as phantom head recordings. It turned out that the method is very robust and yields accurate results regardless of the position of the field generator, even with large differences between original and standard (target) sensor positions and high noise. The method can be applied as a prerequisite for comparing or averaging recordings of different subjects or sessions.     

Novel micromachined silicon sensor for continuous glucose monitoring

The construction and the application properties of a micro-machined silicon sensor for continuous glucose monitoring are presented. The sensor uses the conventional enzymatic conversion of glucose with amperometric detection of H(2)O(2). The innovation is the precise diffusion control of the analyte through a porous silicon membrane into a silicon etched cavity containing the immobilised enzyme. A variation of the number and size of the membrane pores allows to adjust the linear range of the sensor to the respective requirement. The sensor was tested in vitro as well as in clinical studies, being supplied with interstitial fluid. The cavity sensor was designed for a linear range between 0.5 and 20 mM. A signal response time of below 30 s and a signal stability exceeding 1 week is shown. By using a double cavity sensor falsification of the glucose signal by interfering substances can be compensated. In clinical trials the sensor measured continuously in interstitial fluid for up to 18 h without any signal drift and with good correlation to blood glucose reference values.     

Estimation of discretization errors in contact pressure measurements

Contact pressure measurements in total knee replacements are often made using a discrete sensor such as the Tekscan K-Scan sensor. However, no method currently exists for predicting the magnitude of sensor discretization errors in contact force, peak pressure, average pressure, and contact area, making it difficult to evaluate the accuracy of such measurements. This study identifies a non-dimensional area variable, defined as the ratio of the number of perimeter elements to the total number of elements with pressure, which can be used to predict these errors. The variable was evaluated by simulating discrete pressure sensors subjected to Hertzian and uniform pressure distributions with two different calibration procedures. The simulations systematically varied the size of the sensor elements, the contact ellipse aspect ratio, and the ellipse's location on the sensor grid. In addition, contact pressure measurements made with a K-Scan sensor on four different total knee designs were used to evaluate the magnitude of discretization errors under practical conditions. The simulations predicted a strong power law relationship (r(2)>0.89) between worst-case discretization errors and the proposed non-dimensional area variable. In the total knee experiments, predicted discretization errors were on the order of 1-4% for contact force and peak pressure and 3-9% for average pressure and contact area. These errors are comparable to those arising from inserting a sensor into the joint space or truncating pressures with pressure sensitive film. The reported power law regression coefficients provide a simple way to estimate the accuracy of experimental measurements made with discrete pressure sensors when the contact patch is approximately elliptical.     

Assessment of the accuracy of a human arm model with seven degrees of freedom

We are proposing a human arm model that consists of three rigid segments with seven degrees of freedom. The shoulder joint was modeled as a ball-and-socket joint and the elbow and wrist joints were modelled as skew-oblique joints. Optimal parameters for this model were calculated on the base of in vivo recordings with a spatial tracking system. The criterion of optimality was defined as the minimum of the mean-square deviation between the experimentally obtained sensor positions and orientations and their positions and orientations calculated by solving the direct kinematics problem. The minimal value of the direct kinematics error was found to be 0.5-0.6cm for sensor positions and 5-7 degrees for sensor orientations. We are proposing that these values serve as the assessment for the accuracy of the arm model.     

Development of a MEMS-based sensor array to characterise in situ loads during scoliosis correction surgery

Finite element analysis was implemented in three stages to design a piezoresistive, micro-electro-mechanical systems sensor array consisting of four-terminal sensors placed on deformable silicon diaphragms. This sensor array was used to retrofit the Contrel-Dubousset instrumentation in order to capture forces and moments applied by surgeons in real time during scoliosis correction surgery. Outputs from the sensor array have been designed to be compatible with a low-power wireless data transmission system that is currently being developed with a collaborating team in the biomedical industry. The designed sensor array is capable of resolving forces of up to 1000 N and moments of up to 4000 N mm in three dimensions during surgery. A process flow to produce the first prototyped version of this micro sensor with known performance characteristics is presented and tested. Acceptable correlation was found between the performance of the manufactured prototypes, numerical simulation and similar documented devices.     

A Three-Dimensional Plasmonic Nanostructure with Extraordinary Optical Transmission

We report a 3D plasmonic nanostructure having an extraordinary optical transmission due to localized surface plasmon (LSP) coupling between nanoholes and nanodisks. The nanostructure contains a free-standing gold nanohole array (NHA) film above a cavity and an array of nanodisks at the bottom of the cavity that is aligned with the NHA. For the device, the LSP-mediated resonance position was dependent on the hole and nanodisk diameter as well as the separation distance. Also, the effect of LSP coupling between each hole and corresponding nanodisk became negligible for cavities deeper than 200 nm as observed as a disappearance of the LSP resonance. The greatest LSP resonance transmission and the highest electric field intensity were observed for the structure with the shallowest cavity. In addition, the structure had high surface plasmon resonance sensitivity and may have potential for surface-enhanced Raman spectroscopy and optical trapping applications.     

A composite sensor array impedentiometric electronic tongue Part I. Characterization

A study aimed at the characterization of five compounds with different chemical characteristics and gustative perceptions by measuring the variations of the electrical impedance of a composite sensor array is presented. The array was composed of five sensors of three different types based on carbon nanotubes or carbon black dispersed in polymeric matrices and doped polythiophenes. Measurements were carried out by evaluating the electrical impedance of the sensor array at a frequency of 150 Hz, and the data acquisition process was automated; a mechanical arm and a rotating platform controlled by a data acquisition card and a dedicated software allowed the sequential dipping of sensors in the test solutions. Fifty different solutions eliciting the 5 basic tastes (sodium chloride, citric acid, glucose, glutamic acid and sodium dehydrocholate for salty, sour, sweet, umami and bitter, respectively) at 10 concentration levels comprising the human perceptive range were analysed. More than 100 measurements were carried for each sample in a 4-month period to evaluate the system repeatability and robustness. The impedentiometric composite sensor array is shown to be sensitive, selective and stable for use in an electronic tongue.     

On a Peculiar Mode of Germ-Layer Formation

In some planulae of the alcyonarian Gersemia rubiformis an interior structure was found in the entodermal cavity. It consisted of two layers separated by a basement membrane, the inner layer facing a central cavity. The outer layer was structurally identical with the inner “entomesoderm” of the body wall, while the inner layer of the “ball” was provided with numerous cilia and a brushborder. The development of the interior structure is described as appearing from the structural findings in different planulae. This development is very different from any other developmental process described so far.     

A chemiluminescence sensor array based on nanomaterials for discrimination of teas

In recent years, electronic tongue and nose devices have been developed that consist of an array of cross‐responsive sensors. In this study, we report a chemiluminescence (CL) sensor array based on oxidation at twelve different catalytic nanomaterial locations for the discrimination of eight teas. CL response patterns or “fingerprints” were obtained for a given compound on the sensor array and then discriminated through linear discriminant analysis. The experiments demonstrate that the sensor array had excellent differentiability and reversibility. Copyright © 2012 John Wiley & Sons, Ltd.     

Assembly of non-natural electron transfer conduits in the cytochrome P450 system: a critical assessment and update of artificial redox constructs amenable to exploitation in biotechnological areas

The high plasticity of the active-site cavity of cytochromes P450, permitting reactivity toward a vast array of compounds, makes these enzymes attractive targets for biotechnological application. Escalating attention in this area is driven by remarkable progress in the rational design by DNA shuffling of self-sufficient, multi-domain P450/electron donor constructs simplifying the composition of biocatalytic systems. Moreover, versatile approaches were undertaken to supersede the well-established, NAD(P)H-steered proteinaceous redox chains by cost-effective alternative electron transfer conduits constituted of organometallic mediators or photoactivatable redox triggers. Electrochemical techniques have proven particularly useful: employing different types of carbon- and metal-based electrodes for the fabrication of biosensors, the continuing challenge was to optimize the conductive properties of these devices by creating biocompatible interfaces for transferring electrons between sensor surfaces and redox proteins. The present review provides a critical update of the most significant breakthroughs in innovative manipulation of the redox machinery, giving an impulse to exploitation of P450s in fields such as the production of fine chemicals, drug processing, medicinal diagnostics and remediation of biotopes contaminated with harmful environmental pollutants.     

A composite sensor array impedentiometric electronic tongue Part II. Discrimination of basic tastes

An impedentiometric electronic tongue based on the combination of a composite sensor array and chemometric techniques aimed at the discrimination of soluble compounds able to elicit different gustative perceptions is presented. A composite array consisting of chemo-sensitive layers based on carbon nanotubes or carbon black dispersed in polymeric matrices and doped polythiophenes was used. The electrical impedance of the sensor array was measured at a frequency of 150 Hz by means of an impedance meter. The experimental set-up was designed in order to allow the automatic selection of a test solution and dipping of the sensor array following a dedicated measurement protocol. Measurements were carried out on 15 different solutions eliciting 5 different tastes (sodium chloride, citric acid, glucose, glutamic acid and sodium dehydrocholate for salty, sour, sweet, umami and bitter, respectively) at 3 concentration levels comprising the human perceptive range. In order to avoid over-fitting, more than 100 repetitions for each sample were carried in a 4-month period. Principal component analysis (PCA) was used to detect and remove outliers. Classification was performed by linear discriminant analysis (LDA). A fairly good degree of discrimination was obtained.