Development of glucose biosensor based on reconstitution of glucose oxidase onto polymeric redox mediator coated pencil graphite electrodes

In this study, a novel glucose biosensor was fabricated by reconstitutional immobilization of glucose oxidase (GOx) onto a poly(glycidyl methacrylate-co-vinylferrocene) (poly(GMA-co-VFc)) film coated pencil graphite electrode (PGE). The amperometric current response of poly(GMA-co-VFc)-GOx to glucose is linear in the concentration range between 1 and 16 mM (correlation coefficient of 0.9998) with a detection limit of 2.7 μM (S/N = 3). Experimental parameters were studied in detail and optimized, including the pH and temperature governing the analytical performance of the biosensor. The stability and reusability of the biosensor as well as its kinetic parameters have also been studied.     

A flow injection system, comprising a biosensor based on a screen-printed carbon electrode containing Meldola’s Blue-Reinecke salt coated with glucose dehydrogenase, for the measurement of glucose

A biosensor for the measurement of glucose in serum has been developed, based on a screen-printed carbon electrode modified with Meldola’s Blue-Reinecke salt, coated with the enzyme glucose dehydrogenase (from Bacillus sp.), and nicotinamide adenine dinucleotide coenzyme (NAD⁺). A cellulose acetate layer was deposited on top of the device to act as a permselective membrane. The biosensor was incorporated into a commercially available, thin-layer, amperometric flow cell operated at a potential of only +0.05 V versus Ag/AgCl. The mobile phase consisted of 0.2 M phosphate buffer (pH 7.0) containing 0.1 M potassium chloride solution, and a flow rate of 0.8 ml min⁻¹ was used throughout the investigation. The biosensor response was linear over the range of 0.075-30 mM glucose, with the former representing the detection limit. The precision of the system was determined by carrying out 20 repeat injections of a 5-mM glucose standard, and the calculated coefficient of variation was 3.9%. It was demonstrated that this biosensor system could be applied to the direct measurement of glucose in serum without pretreatment. Therefore, this would allow high-throughput analysis, at low cost, for this clinically important analyte.     

Novel biosensor system model based on fluorescence quenching by a fluorescent streptavidin and carbazole‐labeled biotin

In the present study, a novel molecular biosensor system model was designed by using a couple of the fluorescent unnatural mutant streptavidin and the carbazole‐labeled biotin. BODIPY‐FL‐aminophenylalanine (BFLAF), a fluorescent unnatural amino acid was position‐specifically incorporated into Trp120 position of streptavidin by four‐base codon method. On the other hand, carbazole‐labeled biotin was synthesized as a quencher for the fluorescent Trp120BFLAF mutant streptavidin. The fluorescence of fluorescent Trp120BFLAF mutant streptavidin was decreased as we expected when carbazole‐labeled biotin was added into the mutant streptavidin solution. Furthermore, the fluorescence decrease of Trp120BFLAF mutant streptavidin with carbazole‐labeled biotin (100 nM) was recovered by the competitive addition of natural biotin. This result demonstrated that by measuring the fluorescence quenching and recovery, a couple of the fluorescent Trp120BFLAF mutant streptavidin and the carbazole‐labeled biotin were successfully applicable for quantification of free biotin as a molecular biosensor system. Copyright © 2016 John Wiley & Sons, Ltd.     

A multi‐wavelength,laser‐based optical spectroscopy device for breast density and breast cancer risk pre‐screening

Optical Breast Spectroscopy (OBS) has been shown to predict mammographic breast density, a strong breast cancer risk factor. OBS is a low‐cost technique applicable at any age. OBS information may be useful for personalizing breast cancer screening programs based on risk to improve consensus on and adherence to screening guidelines. To facilitate the use of OBS in population‐wide studies, a research prototype OBS device was modified to make it portable and cheaper and to require less operator interaction. Two major changes were made: (1) the broadband light source was replaced with a laser module with 13 individual wavelengths turned on sequentially, enabling the use of photodiode detectors instead of a spectrometer, and (2) the light sources and detectors were placed in fixed positions within 4 sizes of cup, eliminating the need for placement by the operator. Wavelengths were selected using data from two previous studies. The reduction in spectral content did not significantly reduce the ability to distinguish between different risk groups. Positions for the light sources and detectors were chosen based on Monte Carlo simulations to match the optically interrogated volumes of the original device. Two light sources and six detectors per cup were used in the final design.

     

Structural and functional study of a simple,rapid, and label‐free DNAzyme‐based DNA biosensor for optimization activity

Peroxidase‐mimicking DNAzyme has a potential to self‐assemble into a G‐quadruplex and shows peroxidase activity. In comparison to proteins, peroxidase‐mimicking DNAzyme is less expensive and more stable. Herein, it is used in fabricating non‐labeling biosensors. This paper investigates the structural and functional properties of a DNA biosensor based on split DNAzyme with a detection limit in nM range (9.48 nM). Two halves of DNAzyme were linked by a complementary sequence of DNA target. Hybridization of the DNA target pulled two DNAzyme halves apart and peroxidase activity decreased. This study can be divided into 3 stages. First, the characteristics of DNAzyme were studied by Circular Dichroism technique and UV–Vis spectroscopy to find out DNAzyme's optimum activity. It is worth to note that some divalent cations were used to form G‐quadruplex, in addition to common monovalent cations. Furthermore, the hemin incubation was also optimized. Secondly, the structural and functional properties of two types of split DNAzyme were compared with DNAzyme. Thirdly, the hybridization of DNA target was monitored. The results revealed that peroxidase activities of split types decreased by half without any specific conformational changes. Interestingly, the catalytic activities of split DNAzymes could be promoted by adding Mg²⁺. Besides, it was demonstrated that the structure, peroxidation reaction, and DNA target hybridization of 2:2 and 3:1 split modes were almost alike. It was also illustrated that magnesium promoted the possibility of hybridization.     

Development of a high analytical performance amperometric glucose biosensor based on glucose oxidase immobilized in a composite matrix: layered double hydroxides/chitosan

This paper aimed at showing the interest of the composite material based on layered double hydroxides (LDHs) and chitosan (CHT) as suitable host matrix likely to immobilize enzyme onto electrode surface for amperometric biosensing application. This hybrid material combined the advantages of inorganic LDHs and organic biopolymer, CHT. Glucose oxidase (GOD) immobilized in the composite material maintained its activity well as the usage of glutaraldehyde was avoided. The process parameters for the fabrication of the enzyme electrode and various experimental variables such as pH, applied potential and temperature, were explored for optimum analytical performance of the enzyme electrode. The enzyme electrode provided a linear response to glucose over a concentration range of 1 x 10(-6) to 3 x 10(-3) M with a high sensitivity of 62.6 mA M(-1) cm(-2) and a detection limit of 0.1 muM based on the signal-to-noise ratio of 3.     

Investigating pre‐analytical requirements for serum and plasma based infrared spectro‐diagnostic

Infrared spectroscopy is a rapid, easy‐to‐operate, label‐free and therefore cost‐effective technique. Many studies performed on biofluids (eg, serum, plasma, urine, sputum, bile and cerebrospinal fluid) have demonstrated its promising application as a clinical diagnostic tool. Given all these characteristics, infrared spectroscopy appears to be an ideal candidate to be implemented into the clinics. However, before considering its translation, a clear effort is needed to standardise protocols for biofluid spectroscopic analysis. To reach this goal, careful investigations to identify and track errors that can occur during the pre‐analytical phase is a crucial step. Here, we report for the first time, results of investigations into pre‐analytical factors that can affect the quality of the spectral data acquired on serum and plasma, such as the impact of long‐term freezing time storage of samples as well as the month‐to‐month reproducibility of the spectroscopic analysis. The spectral data discrimination has revealed to be majorly impacted by a residual water content variation in serum and plasma dried samples.      

Glucose biosensor based on immobilization of glucose oxidase in poly(o-aminophenol) film on polypyrrole-Pt nanocomposite modified glassy carbon electrode

Novel Pt nanoclusters embedded polypyrrole nanowires (PPy-Pt) composite was electrosynthesized on a glassy carbon electrode, denoted as PPy-Pt/GCE. A glucose biosensor was further fabricated based on immobilization of glucose oxidase (GOD) in an electropolymerized non-conducting poly(o-aminophenol) (POAP) film that was deposited on the PPy-Pt/GCE. The morphologies of the PPy nanowires and PPy-Pt nanocomposite were characterized by field emission scanning electron microscope (FE-SEM). Effect of experimental conditions involving the cycle numbers for POAP deposition and Pt nanoclusters deposition, applied potential used in glucose determination, temperature and pH value of the detection solution were investigated for optimization. The biosensor exhibited an excellent current response to glucose over a wide linear range from 1.5 × 10⁻⁶ to 1.3 × 10⁻² M (r = 0.9982) with a detection limit of 4.5 × 10⁻⁷ M (s/n = 3). Based on the combination of permselectivity of the POAP and the PPy films, the sensor had good anti-interference ability to ascorbic acid (AA), uric acid (UA) and acetaminophen. The apparent Michaelis–Menten constant (K_m) and the maximum current density (I_m) were estimated to be 23.9 mM and 378 μA/cm², respectively. In addition, the biosensor had also good sensitivity, stability and reproducibility.     

A sensitive and regenerable biosensor for organophosphate pesticide based on self‐assembled multilayer film with CdTe as fluorescence probe

A fluorescence biosensor for organophosphorus pesticides was developed. A pH indicator, CdTe quantum dots, were used as an optical transducer of the inhibition of enzyme by analyte. Through the intervening agency of chitosan, the recognition elements (acetylcholinesterase and CdTe) were immobilized onto the surface of quartz by electrostatic attraction to form a self‐assembled multilayer film. In the absence of pesticide, acetylcholine was biocatalytically hydrolysed to yield acetic acid and choline. The released acid resulted in pH decrease, which was sensed by the immobilized pH indicator (CdTe). In the presence of pesticide, the action of acetylcholine was reduced; the fluorescence intensity of the film changed and was related to the concentration of pesticide. This multilayer film could be used as the biosensor for monocrotophos, with a detection limit of 3.20 × 10^?8 mol/L; the sensitivity was 100 times higher than that of CdTe in aqueous solution. The sensor was easily regenerated, and had good stability and selectivity for organophosphorus pesticides. Copyright © 2011 John Wiley & Sons, Ltd.     

Reproducible fashion of the HSP70B' promoter‐induced cytotoxic response on a live cell‐based biosensor by cell cycle synchronization

Live cell‐based sensors potentially provide functional information about the cytotoxic effect of reagents on various signaling cascades. Cells transfected with a reporter vector derived from a cytotoxic response promoter can be used as intelligent cytotoxicity sensors (i.e., sensor cells). We have combined sensor cells and a microfluidic cell culture system that can achieve several laminar flows, resulting in a reliable high‐throughput cytotoxicity detection system. These sensor cells can also be applied to single cell arrays. However, it is difficult to detect a cellular response in a single cell array, due to the heterogeneous response of sensor cells. The objective of this study was cell homogenization with cell cycle synchronization to enhance the response of cell‐based biosensors. Our previously established stable sensor cells were brought into cell cycle synchronization under serum‐starved conditions and we then investigated the cadmium chloride‐induced cytotoxic response at the single cell level. The GFP positive rate of synchronized cells was approximately twice as high as that of the control cells, suggesting that cell homogenization is an important step when using cell‐based biosensors with microdevices, such as a single cell array. Biotechnol. Bioeng. 2010;107: 561–565. © 2010 Wiley Periodicals, Inc.     

Glucose biosensor based on nanohybrid material of gold nanoparticles and glucose oxidase on a bioplatform

A simple and relatively cheap glucose biosensor based on a combination of gold nanoparticles (Au NPs) and glucose oxidase (GO(x) ) immobilized on a bioplatform eggshell membrane was established. Scanning electron microscopy showed successful immobilization of Au NPs/GO(x) on the eggshell membrane. The effects of pH, phosphate buffer concentration, and temperature on the glucose biosensor were studied in detail. The biosensor shows a linear response at a glucose concentration range of 5-525 μM. The detection limit of the biosensor is 2.5 μM (S/N = 3). The biosensor exhibits good repeatability with RSD = 3.6% (n = 6), good operational stability with over 300 measurements and long-term storage stability with a shelf life of at least 6 months. The response time is less than 60 s. The glucose level in commercial food samples has been successfully determined. The proposed work shows potential to develop cost-effective biosensors for biotechnological, biomedical and industrial use.     

Glucose‐6‐phosphate dehydrogenase encapsulated in silica‐based hydrogels for operation in a microreactor

The future of hydrogen as fuel strongly depends on the possibility to produce it in an economic and clean way. Hydrogen can be produced from carbohydrates and water under mild conditions by means of a multistep synthetic pathway (13 enzymes) with very high yield. Crossover inhibitions and different optimal conditions of involved enzymes hinder the use of one‐pot approach. Immobilization of enzymes in coupled individual reactors may avoid this problem. This work deals with the immobilization in silica‐based hydrogels of one key enzyme of this pathway: glucose 6‐phosphate dehydrogenase from Leuconostoc mesenteroides. The carriers were prepared with an ethylene glycol‐modified silane, two polymers (polyethylene oxide and Pluronic®) and amino groups created by 3‐aminopropyltriethoxysilane. These parameters influenced the enzymatic activity after immobilization. Gels prepared by addition of polyethylene oxide gave the best results and were used as monoliths in microreactors with two different geometries. The systems showed a high operational stability but a low effective enzyme activity. Enzyme leaching and a nonideal flow pattern may account for the low activity observed. This work is possibly the first one dealing with the immobilization of glucose 6‐phosphate dehydrogenase in silica‐based gels for its application in flow‐through microreactors.     

SERS‐based biosensor for Alzheimer disease evaluation through the fast analysis of human serum

Alzheimer disease (AD) is the most common form of dementia in the elderly, progressively affecting the cognitive functions with a complex diagnostic procedure that limits the time for a prompt intervention. In this study we optimized a reliable protocol for the analysis of AD patients and healthy subjects' serum using the Surface Enhanced Raman Spectroscopy (SERS), taking into consideration the effect of different variables on the final spectra, analyzed and compared through multivariate analysis and correlated with hippocampus volume. As results, we demonstrated a statistical difference between the spectra collected from the two investigated groups, with an accuracy, precision and specificity of respectively 83%, 86%, and 86%. The correlation of these data with those obtained from MRI, demonstrated a direct correlation between Raman spectra and hippocampus degeneration showing the Raman Spectroscopy (RS) as a potential tool for the monitoring of AD progression and rehabilitation treatments.     

A stage‐wise approach for the analysis of multi‐environment trials

Plant breeders and variety testing agencies routinely test candidate genotypes (crop varieties, lines, test hybrids) in multiple environments. Such multi‐environment trials can be efficiently analysed by mixed models. A single‐stage analysis models the entire observed data at the level of individual plots. This kind of analysis is usually considered as the gold standard. In practice, however, it is more convenient to use a two‐stage approach, in which experiments are first analysed per environment, yielding adjusted means per genotype, which are then summarised across environments in the second stage. Stage‐wise approaches suggested so far are approximate in that they cannot fully reproduce a single‐stage analysis, except in very simple cases, because the variance–covariance matrix of adjusted means from individual environments needs to be approximated by a diagonal matrix. This paper proposes a fully efficient stage‐wise method, which carries forward the full variance–covariance matrix of adjusted means from the individual environments to the analysis across the series of trials. Provided the variance components are known, this method can fully reproduce the results of a single‐stage analysis. Computations are made efficient by a diagonalisation of the residual variance–covariance matrix, which necessitates a corresponding linear transformation of both the first‐stage estimates (e.g. adjusted means and regression slopes for plot covariates) and the corresponding design matrices for fixed and random effects. We also exemplify the extension of the general approach to a three‐stage analysis. The method is illustrated using two datasets, one real and the other simulated. The proposed approach has close connections with meta‐analysis, where environments correspond to centres and genotypes to medical treatments. We therefore compare our theoretical results with recently published results from a meta‐analysis.