Biosensors for assay of glycoalkaloids in potato tubers

The possibility of practical application of biosensors based on pH-sensitive field-effect transistors and butyrylcholinesterase to glycoalkaloid analysis in potato tubers was studied. The main analytical features of the designed biosensors and measurement conditions were optimized. The biosensor was applied to quantitative analysis of glycoalkaloids in tubers of different potato varieties. The results proved to be in good agreement with those obtained by conventional protocols. Experiments on glucose assay were performed. An inverse correlation between the contents of glucose and glycoalkaloids in potato tubers was demonstrated.     

Biosensors for assay of glycoalkaloids in potato tubers

The possibility of commercial application of biosensors based on pH-sensitive field-effect transistors and butyrylcholinesterase to glycoalkaloid analysis in potato tubers was studied. The main analytical features of the designed biosensors and measurement conditions were optimized. The biosensor was applied to quantitative analysis of glycoalkaloids in tubers of different potato varieties. The results proved to be in good agreement with those obtained by conventional protocols. Experiments on glucose assay were performed. An inverse correlation between the contents of glucose and glycoalkaloids in potato tubers was demonstrated.     

Insight of smart biosensors for COVID-19: A review

The review discusses the diagnostic application of biosensors as point-of-care devices in the COVID-19 pandemic. Biosensors are important analytical tools that can be used for the robust and effective detection of infectious diseases in real-time. In this current scenario, the utilization of smart, efficient biosensors for COVID-19 detection is increasing and we have included a few smart biosensors such as smart and intelligent based biosensors, plasmonic biosensors, field effect transistor (FET) biosensors, smart optical biosensors, surface enhanced Raman scattering (SERS) biosensor, screen printed electrode (SPE)-based biosensor, molecular imprinted polymer (MIP)-based biosensor, MXene-based biosensor and metal–organic frame smart sensor. Their significance as well as the benefits and drawbacks of each kind of smart sensor are mentioned in depth. Furthermore, we have compiled a list of various biosensors which have been developed across the globe for COVID-19 and have shown promise as commercial detection devices. Significant challenges in the development of effective diagnostic methods are discussed and recommendations have been made for better diagnostic outcomes to manage the ongoing pandemic effectively.     

Novel biosensors for quantitative phytic acid and phytase measurement

Phytase (EC 3.1.3.26) and phytic acid (myo-inositol hexaphosphate) play an important environmental role in poultry industry and have a health aspect in food industry. Novel biosensors have been developed for simple, one step quantitative phytic acid and phytase detection. A system based on the sequentially acting enzyme phytase and pyruvate oxidase (POD) was employed for the development of phytase and phytic acid biosensors. Poly(carbamoylsulphonate) (PCS) hydrogel immobilized POD electrode was applied for the detection of phytase. It was based on the indication of phosphate ions produced by the hydrolysis of phytic acid. The phytase biosensor showed a linear response ranging from 0.5 to 6.0 units/ml. A bi-enzyme sensor based on co-immobilization of phytase and POD was developed for the detection of phytic acid on the basis of amperometric detection of the enzymatically-generated hydrogen peroxide at 0.6 V versus Ag/AgCl. It showed a linear response ranging from 0.2 to 2.0 mM with a detection limit of 0.002 mM.     

Use of Pseudomonas and Achromobacter species bacteria--degraders of surface-active agents--for detection and destruction of polycyclic aromatic hydrocarbons

The developed biosensor models were based on the use of immobilized Pseudomonas and Achromobacter cells for polycyclic aromatic hydrocarbons and surfactants detection. The responses of biosensors based on bacteria-degraders of anionic surfactants for organic substrates, which related to different classes of surfactants, aromatic and policyclic aromatic hydrocarbons (PAH) were investigated. The sensor showed the highest sensitivity to anionic surfactants and PAH. The lower limit of sodium dodecyl sulfate detection is within a range of 0.25-0.5 mg/l (0.86-1.73 microM). The sensors showed the highest sensitivity to naphthalene (1-6 mM) and anthracene, fluorene, phenanthrene. All strains that have been investigated may be used as a receptor element of biosensors for detection of PAH and surfactants.     

Molecular beacons for DNA biosensors with micrometer to submicrometer dimensions

Ultrasensitive molecular beacon (MB) DNA biosensors, with micrometer to submicrometer sizes, have been developed for DNA/RNA analysis. The fluorescence-based biosensors have been applied in DNA/ RNA detection without the need for a dye-labeled target molecule or an intercalation reagent in the testing solution. Molecular beacons are hairpin-shaped oligonucleotides that report the presence of specific nucleic acids. We have designed a surface-immobilizable biotinylated ssDNA molecular beacon for DNA hybridization at a liquid-solid interface. The MBs have been immobilized onto ultrasmall optical fiber probes through avidin-biotin binding. The MB DNA biosensor has been used directly to detect, in real time, its target DNA molecules without the need for a competitive assay. The biosensor is stable and reproducible. The MB DNA biosensor has selectivity with single base-pair mismatch identification capability. The concentration detection limits and mass detection limits are 0.3 nM and 15 amol for a 105-microm biosensor, and 10 nM and 0.27 amol for a submicrometer biosensor, respectively. We have also prepared molecular beacon DNA biosensor arrays for simultaneous analysis of multiple DNA sequences in the same solution. The newly developed DNA biosensors have been used for the precise quantification of a specific rat gamma-actin mRNA sequence amplified by the polymerase chain reaction.     

The biosensor based on the pyruvate oxidase modified conducting polymer for phosphate ions determinations

An enzymatic biosensor was fabricated by the covalent immobilization of pyruvate oxidase (PyO) onto the nano-particle comprised poly-5,2':5',2'-terthiophene-3'-carboxylic acid, poly-TTCA (nano-CP) layers on a glassy carbon electrode (GCE) for the amperometric detection of the phosphate ions. The direct electron transfer reaction of the immobilized PyO onto the nano-CP layers was investigated and the electron transfer rate constant was determined to be 0.65 s(-1). The electrochemically prepared nano-CP lowered the oxidation potential (+0.40 V versus Ag/AgCl) of an enzymatically generated H(2)O(2) by PyO in a phosphate solution. Experimental parameters affecting the sensitivity of the biosensors, such as amounts of the cofactors, the pH, the applied potential, and the temperature were optimized. A linear response for the detection of the phosphate ion was observed between 1.0 microM and 100 microM and the detection limit was determined to be about 0.3 microM. The response time of the biosensors was about 6s. The biosensor showed good selectivity towards other interfering anions. The long-term storage stability of the phosphate biosensor was studied and the sensor was applied in a human serum sample for the phosphate ions detection.     

Improved selectivity of microbial biosensor using membrane coating. Application to the analysis of ethanol during fermentation

A ferricyanide mediated microbial biosensor for ethanol detection was prepared by surface modification of a glassy carbon electrode. The selectivity of the whole Gluconobacter oxydans cell biosensor for ethanol determination was greatly enhanced by the size exclusion effect of a cellulose acetate (CA) membrane. The use of a CA membrane increased the ethanol to glucose sensitivity ratio by a factor of 58.2 and even the ethanol to glycerol sensitivity ratio by a factor of 7.5 compared with the use of a dialysis membrane. The biosensor provides rapid and sensitive detection of ethanol with a limit of detection of 0.85 microM (S/N=3). The selectivity of the biosensor toward alcohols was better compared to previously published enzyme biosensors based on alcohol oxidase or alcohol dehydrogenases. The biosensor was successfully used in an off-line monitoring of ethanol during batch fermentation by immobilized Saccharomyces cerevisiae cells with an initial glucose concentration of 200 g l(-1).     

A novel nitrite biosensor based on conductometric electrode modified with cytochrome c nitrite reductase composite membrane

A conductometric biosensor for nitrite detection was developed using cytochrome c nitrite reductase (ccNiR) extracted from Desulfovibrio desulfuricans ATCC 27774 cells immobilized on a planar interdigitated electrode by cross-linking with saturated glutaraldehyde (GA) vapour in the presence of bovine serum albumin, methyl viologen (MV), Nafion, and glycerol. The configuration parameters for this biosensor, including the enzyme concentration, ccNiR/BSA ratio, MV concentration, and Nafion concentration, were optimized. Various experimental parameters, such as sodium dithionite added, working buffer solution, and temperature, were investigated with regard to their effect on the conductance response of the biosensor to nitrite. Under the optimum conditions at room temperature (about 25 degrees C), the conductometric biosensor showed a fast response to nitrite (about 10s) with a linear range of 0.2-120 microM, a sensitivity of 0.194 microS/microM [NO(2)(-)], and a detection limit of 0.05 microM. The biosensor also showed satisfactory reproducibility (relative standard deviation of 6%, n=5). The apparent Michaelis-Menten constant (K(M,app)) was 338 microM. When stored in potassium phosphate buffer (100mM, pH 7.6) at 4 degrees C, the biosensor showed good stability over 1 month. No obvious interference from other ionic species familiar in natural waters was detected. The application experiments show that the biosensor is suitable for use in real water samples.     

Detection of glycoalkaloids using disposable biosensors based on genetically modified enzymes

In this work we present a rapid, selective, and highly sensitive detection of α-solanine and α-chaconine using cholinesterase-based sensors. The high sensitivity of the devices is brought by the use of a genetically modified acetylcholinesterase (AChE), combined with a one-step detection method based on the measurement of inhibition slope. The selectivity was obtained by using butyrylcholinesterase (BChE), an enzyme able to detect these two toxins with differential inhibition kinetics. The enzymes were immobilized via entrapment in PVA-AWP polymer directly on the working electrode surface. The analysis of the resulting inhibition slope was performed employing linear regression function included in Matlab. The high toxicity of α-chaconine compared to α-solanine due to a better affinity to the active site was proved. The inhibition of glycoalkaloids (GAs) mixture was performed over AChE enzyme wild-type AChE and BChE biosensors resulting in the detection of synergism effect. The developed method allows the detection of (GAs) at 50 ppb in potato matrix.     

Progress of new label-free techniques for biosensors: a review

The detection techniques used in biosensors can be broadly classified into label-based and label-free. Label-based detection relies on the specific properties of labels for detecting a particular target. In contrast, label-free detection is suitable for the target molecules that are not labeled or the screening of analytes which are not easy to tag. Also, more types of label-free biosensors have emerged with developments in biotechnology. The latest developed techniques in label-free biosensors, such as field-effect transistors-based biosensors including carbon nanotube field-effect transistor biosensors, graphene field-effect transistor biosensors and silicon nanowire field-effect transistor biosensors, magnetoelastic biosensors, optical-based biosensors, surface stress-based biosensors and other type of biosensors based on the nanotechnology are discussed. The sensing principles, configurations, sensing performance, applications, advantages and restriction of different label-free based biosensors are considered and discussed in this review. Most concepts included in this survey could certainly be applied to the development of this kind of biosensor in the future.     

Optimization of Glycoalkaloid Analysis for Use in Industrial Potato Fruit Juice Downstreaming

Annually, within the European Union about 1.7 million tons of starch is produced by processing over 8 million tons of potato tubers, Solanum tuberosum. In recent years, the potato protein content has gained tremendous industrial interest, since these proteins have excellent nutritional value. As naturally occurring, secondary plant metabolites steroidal potato glycoalkaloids are formed in potatoes. The two major glycoalkaloids in potatoes are α‐solanine and α‐chaconine. Because of the significant toxicity of the glycoalkaloids for human and for animal nutrition it was essential to develop efficient extraction processes. The need for an easy, fast, sensitive and reliable glycoalkaloid assay at the very beginning of the production chain is obvious. In this study an efficient analytical assay for potato glycoalkaloids from powdery protein samples under industrially relevant conditions is described: sample extraction, analyte pre‐purification, and final HPLC analysis. An acetic acid extraction/homogenization process was used for glycoalkaloid extraction from potato protein samples. The extracts were purified by means of solid phase extraction cartridges using the different washing steps developed in this study. The final determination was performed through an HPLC method using a Reprosil‐Pur NH₂ column. The limit of detection was 5 μg/mL for α‐solanine and α‐chaconine, respectively, corresponding to concentrations of 20 ppm in potato protein powder.     

Automated resolution of dichlorvos and methylparaoxon pesticide mixtures employing a Flow Injection system with an inhibition electronic tongue

An amperometric biosensor array has been developed to resolve pesticide mixtures of dichlorvos and methylparaoxon. The biosensor array has been used in a Flow Injection system, in order to operate automatically the inhibition procedure. The sensors used were three screen-printed amperometric biosensors that incorporated three different acetylcholinesterase enzymes: the wild type from Electric eel and two different genetically modified enzymes, B1 and B394 mutants, from Drosophila melanogaster. The inhibition response triplet was modelled using an Artificial Neural Network which was trained with mixture solutions that contain dichlorvos from 10(-4) to 0.1 microM and methylparaoxon from 0.001 to 2.5 microM. This system can be considered an inhibition electronic tongue.     

Fluorescence detection of GDP in real time with the reagentless biosensor rhodamine-ParM

The development of novel fluorescence methods for the detection of key biomolecules is of great interest, both in basic research and in drug discovery. Particularly relevant and widespread molecules in cells are ADP and GDP, which are the products of a large number of cellular reactions, including reactions catalysed by nucleoside triphosphatases and kinases. Previously, biosensors for ADP were developed in this laboratory, based on fluorophore adducts with the bacterial actin homologue ParM. It is shown in the present study that one of these biosensors, tetramethylrhodamine-ParM, can also monitor GDP. The biosensor can be used to measure micromolar concentrations of GDP on the background of millimolar concentrations of GTP. The fluorescence response of the biosensor is fast, the response time being <0.2 s. Thus the biosensor allows real-time measurements of GTPase and GTP-dependent kinase reactions. Applications of the GDP biosensor are exemplified with two different GTPases, measuring the rates of GTP hydrolysis and nucleotide exchange.     

Applications of commercial biosensors in clinical,food, environmental,and biothreat/biowarfare analyses

The lack of specific, low-cost, rapid, sensitive, and easy detection of biomolecules has resulted in the development of biosensor technology. Innovations in biosensor technology have enabled many biosensors to be commercialized and have enabled biomolecules to be detected onsite. Moreover, the emerging technologies of lab-on-a-chip microdevices and nanosensors offer opportunities for the development of new biosensors with much better performance. Biosensors were first introduced into the laboratory by Clark and Lyons. They developed the first glucose biosensor for laboratory conditions. Then in 1973, a glucose biosensor was commercialized by Yellow Springs Instruments. The commercial biosensors have small size and simple construction and they are ideal for point-of-care biosensing. In addition to glucose, a wide variety of metabolites such as lactate, cholesterol, and creatinine can be detected by using commercial biosensors. Like the glucose biosensors (tests) other commercial tests such as for pregnancy (hCG), Escherichia coli O157, influenza A and B viruses, Helicobacter pylori, human immunodeficiency virus, tuberculosis, and malaria have achieved success. Apart from their use in clinical analysis, commercial tests are also used in environmental (such as biochemical oxygen demand, nitrate, pesticide), food (such as glutamate, glutamine, sucrose, lactose, alcohol, ascorbic acid), and biothreat/biowarfare (Bacillus anthracis, Salmonella, Botulinum toxin) analysis. In this review, commercial biosensors in clinical, environmental, food, and biowarfare analysis are summarized and the commercial biosensors are compared in terms of their important characteristics. This is the first review in which all the commercially available tests are compiled together.     

Palm tree peroxidase-based biosensor with unique characteristics for hydrogen peroxide monitoring

Three amperometric enzyme electrodes have been constructed by adsorbing anionic royal palm tree peroxidase (RPTP), anionic sweet potato peroxidase (SPP), or cationic horseradish peroxidase (HRP-C) on spectroscopic graphite electrodes. The resulting H(2)O(2)-sensitive biosensors were characterized both in a flow injection system and in batch mode to evaluate their main bioelectrochemical parameters, such as pH dependency, I(max), K(M)(app), detection limit, linear range, operational and storage stability. The obtained results showed a distinctly different behavior for the plant peroxidase electrodes, demonstrating uniquely superior characteristics of the RPTP-based sensors. The broader linear range observed for the RPTP-based biosensor is explained by a high stability of this enzyme in presence of H(2)O(2). The higher storage and operational stability of RPTP-based biosensor as well as its capability to measure hydrogen peroxide under acidic conditions connect with an extremely high thermal and pH-stability of RPTP.     

Characterization of an organic phase peroxide biosensor based on horseradish peroxidase immobilized in Eastman AQ

Due to their frequent occurrence in food, cosmetics and pharmaceutical products, and their poor solubility in water, the detection of peroxides in organic solvents has aroused significant interest. For diagnostics or on-site testing, a fast and specific experimental approach is required. Although aqueous peroxide biosensors are well known, they are usually not suitable for nonaqueous applications due to their instability. Here we describe an organic phase biosensor for hydrogen peroxide based on horseradish peroxidase immobilized in an Eastman AQ 55 polymer matrix. Rotating disc amperometry was used to examine the effect of the solvent properties, the amount and pH of added buffer, the concentration of peroxide and ferrocene dimethanol, and the amount of Eastman AQ 55 and of enzyme on the response of the biosensor to hydrogen peroxide. The response of the biosensor was limited by diffusion. Linear responses (with detection limits to hydrogen peroxide given in parentheses) were obtained in methanol (1.2 microM), ethanol (0.6 microM), 1-propanol (2.8 microM), acetone (1.4 microM), acetonitrile (2.6 microM), and ethylene glycol (13.6 microM). The rate of diffusion of ferrocene dimethanol was more constrained than the rate of diffusion of hydrogen peroxide, resulting in a comparatively narrow linear range. The main advantages of the sensor are its ease of use and a high degree of reproducibility, together with good operational and storage stability.     

Amperometric tyrosinase biosensor based on Fe3O4 nanoparticles-chitosan nanocomposite

A novel tyrosinase biosensor based on Fe(3)O(4) nanoparticles-chitosan nanocomposite has been developed for the detection of phenolic compounds. The large surface area of Fe(3)O(4) nanoparticles and the porous morphology of chitosan led to a high loading of enzyme and the entrapped enzyme could retain its bioactivity. The tyrosinase-Fe(3)O(4) nanoparticle-chitosan bionanocomposite film was characterized with atomic force microscopy and AC impedance spectra. The prepared biosensor was used to determine phenolic compounds by amperometric detection of the biocatalytically liberated quinone at -0.2V vs. saturated calomel electrode (SCE). The different parameters, including working potential, pH of supporting electrolyte and temperature that governs the analytical performance of the biosensor have been studied in detail and optimized. The biosensor was applied to detect catechol with a linear range of 8.3 x 10(-8) to 7.0 x 10(-5)mol L(-1), and the detection limit of 2.5 x 10(-8)mol L(-1). The tyrosinase biosensor exhibits good repeatability and stability. Such new tyrosinase biosensor shows great promise for rapid, simple, and cost-effective analysis of phenolic contaminants in environmental samples. The proposed strategy can be extended for the development of other enzyme-based biosensors.     

Biosensors and bioelectrochemistry

This review describes recent developments in the field of biosensors and bioelectrochemistry. Nanoparticles have been used to improve sensor performance and to develop biosensors based on new detection principles. Their use has extended into all areas of biosensor and bioelectrochemistry research. Other active areas of biosensor development include DNA sensing, immunosensing, direct electron transfer between an electrode and a redox protein or enzyme, and in vivo sensors.     

Genetically engineered acetylcholinesterase-based biosensor for attomolar detection of dichlorvos

The design of a biosensor for the detection of dichlorvos at attomolar levels is described based on a highly sensitive double mutant (E69Y Y71D) of the Drosophila melanogaster acetylcholinesterase (Dm. AChE). This enzyme has a k(i) for dichlorvos equal to 487 microM(-1)min(-1), which is 300 and 20,000 times higher than that of the wild type Dm. AChE and the Electrophorus electricus AChE (E.el. AChE), respectively. The enzyme is immobilized into microporous-activated conductive carbon, and is used as such for the development of an inhibitor electrochemical biosensor. This E69Y Y71D mutant enables the decrease in the detection limit of the biosensor down to 10(-17) M, which is five orders of magnitude lower compared to the Electropharus electricus-based biosensor and eight orders of magnitude lower than the biosensors described so far.