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A biosensor is a device that measures biological or chemical reactions by generating
signals proportional to the concentration of an analyte in the reaction. Biosensors are
employed in applications such as disease monitoring, drug discovery, and detection of
pollutants, disease-causing micro-organisms and markers that are indicators of a disease
Biosensors
pollutants, disease-causing micro-organisms and markers that are indicators of a disease
in bodily fluids (blood, urine, saliva, sweat).
Consists of the following components:
• Analyte: A substance of interest that needs detection. For instance, glucose is an ‘analyte’ in a
biosensor designed to detect glucose.
• Bioreceptor: A molecule that specifically recognises the analyte is known as a bioreceptor. Enzymes,
cells, aptamers, deoxyribonucleic acid (DNA) and antibodies are some examples of bioreceptors. The
process of signal generation (in the form of light, heat, pH, charge or mass change, etc.) upon interaction
of the bioreceptor with the analyte is termed bio-recognition.
• Transducer: The transducer is an element that converts one formof energy into another. In a
biosensor the role of the transducer is to convert the bio-recognition event into a measurable signal. This
process of energy conversion is known as signalisation. Most transducers produce either optical orprocess of energy conversion is known as signalisation. Most transducers produce either optical or
electrical signals that are usually proportional to the amount of analyte–bioreceptor interactions.
• Electronics: This is the part of a biosensor that processes the transduced signal and prepares it for
display. It consists of complex electronic circuitry that performs signal conditioning such as amplification
and conversion of signals from analogue into the digital form. The processed signals are then
quantified by the display unit of the biosensor.
• Display: The display consists of a user interpretation system such as the liquid crystal display of a
computer or a direct printer that generates numbers or curves understandable by the user. This part
often consists of a combination of hardware and software that generates results of the biosensor in a
user-friendly manner. The output signal on the display can be numeric, graphic, tabular or an image,
depending on the requirements of the end user.
Figure 1. Schematic representation of a biosensor
Table 1. Important cornerstones in the development of biosensors during the period 1970–
1992
1970 Discovery of ion-sensitive field-effect transistor (ISFET) by Bergveld [7]
1975 Fibre-optic biosensor for carbon dioxide and oxygen detection by Lubbers and Opitz [8]
1975 First commercial biosensor for glucose detection by YSI [9]
1975 First microbe-based immunosensor by Suzuki et al. [10]
1982 Fibre-optic biosensor for glucose detection by Schultz [11]
1983 Surface plasmon resonance (SPR) immunosensor by Liedberg et al. [12]
1984 First mediated amperometric biosensor: ferrocene used with glucose oxidase for glucose1984 First mediated amperometric biosensor: ferrocene used with glucose oxidase for glucose
detection [13]
1990 SPR-based biosensor by Pharmacia Biacore [8]
1992 Handheld blood biosensor by i-STAT [8]
Characteristics of a biosensor
There are certain static and dynamic attributes that every biosensor possesses. The optimisation
of these properties is reflected on the performance of the biosensor.
Selectivity
Selectivity is perhaps the most important feature of a biosensor. Selectivity is the ability of a
bioreceptor to detect a specific analyte in a sample containing other admixtures and
contaminants. The best example of selectivity is depicted by the interaction of an antigen with
the antibody. Classically, antibodies act as bioreceptors and are immobilised on the surface of
the transducer. A solution (usually a buffer containing salts) containing the antigen is then
exposed to the transducer where antibodies interact only with the antigens. To construct a
biosensor, selectivity is the main consideration when choosing bioreceptors.biosensor, selectivity is the main consideration when choosing bioreceptors.
Reproducibility
Reproducibility is the ability of the biosensor to generate identical responses for a duplicated
experimental set-up. The reproducibility is characterised by the precision and accuracy of the
transducer and electronics in a biosensor. Precision is the ability of the sensor to provide alike
results every time a sample is measured and accuracy indicates the sensor’s capacity to provide
a mean value close to the true value when a sample is measured more than once. Reproducible
signals provide high reliability and robustness to the inference made on the response of a
biosensor.
Stability
Stability is the degree of susceptibility to ambient disturbances in and around the biosensing
system. These disturbances can cause a drift in the output signals of a biosensor under
measurement. This can cause an error in the measured concentration and can affect the
precision and accuracy of the biosensor. Stability is the most crucial feature in applications
where a biosensor requires long incubation steps or continuous monitoring. The response of
transducers and electronics can be temperature-sensitive, whichmay influence the stability
of a biosensor. Therefore, appropriate tuning of electronics is required to ensure a stable
response of the sensor. Another factor that can influence the stability is the affinity of theresponse of the sensor. Another factor that can influence the stability is the affinity of the
bioreceptor, which is the degree to which the analyte binds to the bioreceptor. Bioreceptors
with high affinities encourage either strong electrostatic bonding or covalent linkage of the
analyte that fortifies the stability of a biosensor. Another factor that affects the stability of
ameasurement is the degradation of the bioreceptor over a period of time.
Sensitivity
The minimum amount of analyte that can be detected by a biosensor defines its limit of
detection (LOD) or sensitivity. In a number of medical and environmental monitoring
applications, a biosensor is required to detect analyte concentration of as low as ng/ml or
even fg/ml to confirmthe presence of traces of analytes in a sample. For instance, a
prostate-specific antigen (PSA) concentration of 4 ng/ml in blood is associated with prostate
cancer for which doctors suggest biopsy tests. Hence, sensitivity is considered to be an
important property of a biosensor.
Linearity
Linearity is the attribute that shows the accuracy of the measured response (for a set of
measurements with different concentrations of analyte) to a straight line, mathematically
represented as y = mc, where c is the concentration of the analyte, y is the output signal,represented as y = mc, where c is the concentration of the analyte, y is the output signal,
andm is the sensitivity of the biosensor. Linearity of the biosensor can be associated
with the resolution of the biosensor and range of analyte concentrations under test. The
resolution of the biosensor is defined as the smallest change in the concentration of an
analyte that is required to bring a change in the response of the biosensor. Depending on the
application, a good resolution is required as most biosensor applications require
not only analyte detection but also measurement of concentrations of analyte over a wide
working range. Another term associated with linearity is linear range, which is defined as the
range of analyte concentrations for which the biosensor response changes linearly with the
concentration.
Applications of biosensors
Biosensors have a very wide range of applications that aim to improve the quality of life.
This range covers their use for environmental monitoring, disease detection, food safety,
defence, drug discovery and many more. One of the main applications of biosensors is the
detection of biomolecules that are either indicators of a disease or targets of a drug.
For example, electrochemical biosensing techniques can be used as clinical tools to detect
protein cancer biomarkers. Biosensors can also be used as platforms for monitoring food
traceability, quality, safety and nutritional value. These applications fall into the category
of ‘single shot’ analysis tools, i.e. where cost-effective and disposable sensing platforms
are required for the application. On the other hand, an application such as pollution
monitoring requires a biosensor to function from a few hours to several days. Such
biosensors can be termed ‘long-term monitoring’ analysis tools. Whether it is long-termbiosensors can be termed ‘long-term monitoring’ analysis tools. Whether it is long-term
monitoring or single shot analysis, biosensors find their use as technologically advanced
devices both in resource-limited settings and sophisticated medical set-ups: e.g. with
applications in drug discovery; for the detection of a number of chemical and biological
agents that are considered to be toxic materials of defence interest for use in artificial
implantable devices such as pacemakers and other prosthetic devices and sewage
epidemiology.Arange of electrochemical, optical and acoustic sensing techniques have
been utilised, along with their integration into analytical devices for various applications.
Figure 2. Major areas of applications for
biosensors
Summary
• Biosensors are nowadays ubiquitous in different areas of healthcare.
• Pregnancy tests and glucose monitoring sensors are the two main examples of very
successful biosensor
devices.
• Arange of transduction techniques such as electrochemical, optical and acoustic, can be
used for biosensors.
• High-affinity reagents such as antibodies, enzymes and synthetic biomolecules can be
coupled to the transducercoupled to the transducer
in order to provide specificity of the biosensors.
• Nanotechnology has had a major impact on recent advances of biosensing technology.

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Biosensors

  • 1. A biosensor is a device that measures biological or chemical reactions by generating signals proportional to the concentration of an analyte in the reaction. Biosensors are employed in applications such as disease monitoring, drug discovery, and detection of pollutants, disease-causing micro-organisms and markers that are indicators of a disease Biosensors pollutants, disease-causing micro-organisms and markers that are indicators of a disease in bodily fluids (blood, urine, saliva, sweat).
  • 2. Consists of the following components: • Analyte: A substance of interest that needs detection. For instance, glucose is an ‘analyte’ in a biosensor designed to detect glucose. • Bioreceptor: A molecule that specifically recognises the analyte is known as a bioreceptor. Enzymes, cells, aptamers, deoxyribonucleic acid (DNA) and antibodies are some examples of bioreceptors. The process of signal generation (in the form of light, heat, pH, charge or mass change, etc.) upon interaction of the bioreceptor with the analyte is termed bio-recognition. • Transducer: The transducer is an element that converts one formof energy into another. In a biosensor the role of the transducer is to convert the bio-recognition event into a measurable signal. This process of energy conversion is known as signalisation. Most transducers produce either optical orprocess of energy conversion is known as signalisation. Most transducers produce either optical or electrical signals that are usually proportional to the amount of analyte–bioreceptor interactions. • Electronics: This is the part of a biosensor that processes the transduced signal and prepares it for display. It consists of complex electronic circuitry that performs signal conditioning such as amplification and conversion of signals from analogue into the digital form. The processed signals are then quantified by the display unit of the biosensor. • Display: The display consists of a user interpretation system such as the liquid crystal display of a computer or a direct printer that generates numbers or curves understandable by the user. This part often consists of a combination of hardware and software that generates results of the biosensor in a user-friendly manner. The output signal on the display can be numeric, graphic, tabular or an image, depending on the requirements of the end user.
  • 3. Figure 1. Schematic representation of a biosensor
  • 4. Table 1. Important cornerstones in the development of biosensors during the period 1970– 1992 1970 Discovery of ion-sensitive field-effect transistor (ISFET) by Bergveld [7] 1975 Fibre-optic biosensor for carbon dioxide and oxygen detection by Lubbers and Opitz [8] 1975 First commercial biosensor for glucose detection by YSI [9] 1975 First microbe-based immunosensor by Suzuki et al. [10] 1982 Fibre-optic biosensor for glucose detection by Schultz [11] 1983 Surface plasmon resonance (SPR) immunosensor by Liedberg et al. [12] 1984 First mediated amperometric biosensor: ferrocene used with glucose oxidase for glucose1984 First mediated amperometric biosensor: ferrocene used with glucose oxidase for glucose detection [13] 1990 SPR-based biosensor by Pharmacia Biacore [8] 1992 Handheld blood biosensor by i-STAT [8]
  • 5. Characteristics of a biosensor There are certain static and dynamic attributes that every biosensor possesses. The optimisation of these properties is reflected on the performance of the biosensor. Selectivity Selectivity is perhaps the most important feature of a biosensor. Selectivity is the ability of a bioreceptor to detect a specific analyte in a sample containing other admixtures and contaminants. The best example of selectivity is depicted by the interaction of an antigen with the antibody. Classically, antibodies act as bioreceptors and are immobilised on the surface of the transducer. A solution (usually a buffer containing salts) containing the antigen is then exposed to the transducer where antibodies interact only with the antigens. To construct a biosensor, selectivity is the main consideration when choosing bioreceptors.biosensor, selectivity is the main consideration when choosing bioreceptors. Reproducibility Reproducibility is the ability of the biosensor to generate identical responses for a duplicated experimental set-up. The reproducibility is characterised by the precision and accuracy of the transducer and electronics in a biosensor. Precision is the ability of the sensor to provide alike results every time a sample is measured and accuracy indicates the sensor’s capacity to provide a mean value close to the true value when a sample is measured more than once. Reproducible signals provide high reliability and robustness to the inference made on the response of a biosensor.
  • 6. Stability Stability is the degree of susceptibility to ambient disturbances in and around the biosensing system. These disturbances can cause a drift in the output signals of a biosensor under measurement. This can cause an error in the measured concentration and can affect the precision and accuracy of the biosensor. Stability is the most crucial feature in applications where a biosensor requires long incubation steps or continuous monitoring. The response of transducers and electronics can be temperature-sensitive, whichmay influence the stability of a biosensor. Therefore, appropriate tuning of electronics is required to ensure a stable response of the sensor. Another factor that can influence the stability is the affinity of theresponse of the sensor. Another factor that can influence the stability is the affinity of the bioreceptor, which is the degree to which the analyte binds to the bioreceptor. Bioreceptors with high affinities encourage either strong electrostatic bonding or covalent linkage of the analyte that fortifies the stability of a biosensor. Another factor that affects the stability of ameasurement is the degradation of the bioreceptor over a period of time.
  • 7. Sensitivity The minimum amount of analyte that can be detected by a biosensor defines its limit of detection (LOD) or sensitivity. In a number of medical and environmental monitoring applications, a biosensor is required to detect analyte concentration of as low as ng/ml or even fg/ml to confirmthe presence of traces of analytes in a sample. For instance, a prostate-specific antigen (PSA) concentration of 4 ng/ml in blood is associated with prostate cancer for which doctors suggest biopsy tests. Hence, sensitivity is considered to be an important property of a biosensor. Linearity Linearity is the attribute that shows the accuracy of the measured response (for a set of measurements with different concentrations of analyte) to a straight line, mathematically represented as y = mc, where c is the concentration of the analyte, y is the output signal,represented as y = mc, where c is the concentration of the analyte, y is the output signal, andm is the sensitivity of the biosensor. Linearity of the biosensor can be associated with the resolution of the biosensor and range of analyte concentrations under test. The resolution of the biosensor is defined as the smallest change in the concentration of an analyte that is required to bring a change in the response of the biosensor. Depending on the application, a good resolution is required as most biosensor applications require not only analyte detection but also measurement of concentrations of analyte over a wide working range. Another term associated with linearity is linear range, which is defined as the range of analyte concentrations for which the biosensor response changes linearly with the concentration.
  • 8. Applications of biosensors Biosensors have a very wide range of applications that aim to improve the quality of life. This range covers their use for environmental monitoring, disease detection, food safety, defence, drug discovery and many more. One of the main applications of biosensors is the detection of biomolecules that are either indicators of a disease or targets of a drug. For example, electrochemical biosensing techniques can be used as clinical tools to detect protein cancer biomarkers. Biosensors can also be used as platforms for monitoring food traceability, quality, safety and nutritional value. These applications fall into the category of ‘single shot’ analysis tools, i.e. where cost-effective and disposable sensing platforms are required for the application. On the other hand, an application such as pollution monitoring requires a biosensor to function from a few hours to several days. Such biosensors can be termed ‘long-term monitoring’ analysis tools. Whether it is long-termbiosensors can be termed ‘long-term monitoring’ analysis tools. Whether it is long-term monitoring or single shot analysis, biosensors find their use as technologically advanced devices both in resource-limited settings and sophisticated medical set-ups: e.g. with applications in drug discovery; for the detection of a number of chemical and biological agents that are considered to be toxic materials of defence interest for use in artificial implantable devices such as pacemakers and other prosthetic devices and sewage epidemiology.Arange of electrochemical, optical and acoustic sensing techniques have been utilised, along with their integration into analytical devices for various applications.
  • 9. Figure 2. Major areas of applications for biosensors
  • 10. Summary • Biosensors are nowadays ubiquitous in different areas of healthcare. • Pregnancy tests and glucose monitoring sensors are the two main examples of very successful biosensor devices. • Arange of transduction techniques such as electrochemical, optical and acoustic, can be used for biosensors. • High-affinity reagents such as antibodies, enzymes and synthetic biomolecules can be coupled to the transducercoupled to the transducer in order to provide specificity of the biosensors. • Nanotechnology has had a major impact on recent advances of biosensing technology.