BIOMEMS
This presentation is the property of its rightful owner.
Sponsored Links
1 / 19

Dr. Marc Madou PowerPoint PPT Presentation


  • 150 Views
  • Uploaded on
  • Presentation posted in: General

BIOMEMS Class I. Introduction: From MEMS to BIOMEMS/ Definitions Winter 2011. Dr. Marc Madou. Aequorea victoria. Content. From MEMS to BIOMEMS BIOMEMS and analytical chemistry Definition of sensors Sensitivity Cross-sensitivity and crosstalk

Download Presentation

Dr. Marc Madou

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Dr marc madou

BIOMEMS

Class I. Introduction: From MEMS to BIOMEMS/

Definitions

Winter 2011

Dr. Marc Madou

Aequorea victoria


Content

Content

  • From MEMS to BIOMEMS

  • BIOMEMS and analytical chemistry

  • Definition of sensors

  • Sensitivity

  • Cross-sensitivity and crosstalk

  • Signal-to-noise-ratio and drift

  • Resolution

  • Span or range and bandwidth

  • Dynamic range, gain and dynamic error

  • Selectivity

  • Hysteresis

  • Accuracy

  • Calibration


From mems to biomems

From MEMS to BIOMEMS

‘Miniaturization engineering’ is a more appropriate name than MEMS (NEMS), but the name MEMS (NEMS) is more popular. It involves a good understanding of scaling laws, different manufacturing methods and materials.Initially it involved mostly Si and mechanical sensors (e.g., pressure, acceleration, etc). Miniaturization engineering or MEMS applied to biotechnology is called BIOMEMS. In BIOMEMS the number of materials involved is much larger, modularity is often a must (not integration as in ICs !), costs often need to be less than what’s possible with Si and batch processes are not always the answer ( continuous manufacturing need !).


From mems to biomems1

From MEMS to BIOMEMS


Biomems as part of analytical chemistry

BIOMEMS may often be seen as a type of analytical technique used in many research areas :

Chemistry

Biochemistry

Biology

Geology

Oceanography, etc.

Analytical techniques which are also used in many industrial areas :

Forensic science (e.g. O.J.’s DNA)

Clinical diagnostics (e.g.glucose in blood)

Product development (e.g. new drug)

Quality control (e.g.pH of swimming pool)

Both instruments and sensors (see next viewgraph for definition) are used in BIOMEMS both will be discussed in this course- the distinction between the two is rather vague (e.g. size, complexity, parts of an instrument might be called a sensor, etc.)

BIOMEMS as part of analytical chemistry


Definitions of sensors

Definitions of sensors

Effector (magnetic, chemical, physical,

etc.)

  • Chemical sensors are defined as measurement devices which utilize chemical or biological reactions to detect and quantify a specific analyte or event. They are ususally a lot more difficult to make than physical sensors which measure physical parameters.

  • For the distinction between biosensors and chemical sensors we define a biosensor as one which contains a biomolecule (such as an enzyme, antibody, or receptor), a cell or even tissue as the active detection component.

  • A sensor, a transducer, transmitter and detector or often used as synonyms. They are devices that convert one form of energy into another and provide the user with a usable energy output in response to a specific measurable input. In the chemical sensor area a transducer plus an active surface is called a sensor.

Active surface

Transducer

Sensor

Integrated sensor

Smart sensor

Amplification/Filtering/A/D, etc

Data storage and processing

Sensor

system

Output

Control


Sensitivity

A sensor detects information input, Iin, and then transduces or converts it to a more convenient form, Iout i.e Iout = F(Iin). So sensitivity is the amount of change in a sensor’s output in response to a change at a sensor’s input over the sensor’s entire range. NOT THE SAME AS LOWER LIMIT OF DETECTION!

Very often sensitivity approximates a constant; that is, the output is a linear function of the input

Sensitivity may mathematically be expressed as

Sensitivity 35,000 Ohms/K @ 4.2 K

http://www.sci-inst.com/sensors/grt.htm

Sensitivity

Germanium

Resistance

Thermometers


Cross sensitivity and crosstalk

Cross-sensitivity and crosstalk

  • Cross-sensitivity: The influence of one measurand on the sensitivity of the sensor for another measurand (e.g., OH- influences F- detection)

  • Crosstalk: Electromagnetic noise transmitted between leads or circuits in close proximity to each other


Signal to noise ratio s n and drift

Signal-to-noise-ratio-S/N and drift

  • S/N: The ratio of the output signal with an input signal to the output signal with no input signal

  • Drift: Gradual departure of the instrument output from the calibrated output. An undesirable change of the output signal.

Noise is normally measured "peak-to-peak": i.e., the distance from the top of one such small peak to the bottom of the next, is measured vertically. Sometimes, noise is averaged over a specified period of time. The practical significance of noise is the factor which limits detector sensitivity. A practical limit for this is a 2 x signal-to-noise ratio.


Resolution

Resolution

  • The smallest increment of change in the measured value that can be determined from the instrument’s readout scale.


Span or range also called bandwidth

Span or range (also called bandwidth)

  • Span or range: The difference between the highest and lowest scale values of an instrument

  • Bandwidth: The range of scale values over which the measurement system can operate within a specified error range ( also used as another word for span)


Dynamic range gain and dynamic error

Dynamic range, gain and dynamic error

  • Dynamic range: The ratio of the largest to the smallest value of a range, often expressed in decibels (dB),

  • Gain:The ratio of the amplitude of an output to input signal.

  • Dynamic error: The error that occurs when the output does not precisely follow the transient response of the measured quantity.


Selectivity

Selectivity

  • Selectivity: The ability of a sensor to measure only one parameter, in the case of a chemical sensor, to measure only one chemical species

  • Because of the lack of perfect selectivity arrays are often implemented (e.g., electronic nose and tongue)

The electronic nose

The sensitivity of certain gas sensors to different gases depends on the choice of catalytic sensor material and the operating temperature. By combining several different gas sensors into a sensor array, complex gas mixtures can be analysed. Although the selectivity of the sensors is limited, qualitative and quantitative gas analysis can be performed using pattern-recognition techniques. The combination of multiple gas sensors and signal analysis using pattern-recognition techniques is the concept behind the electronic nose and tongue. These instruments have been successfully used in a number of applications, e.g., the quality estimation of ground meat, the identification of different paper qualities, the classification of grains with respect to microbial quality, and the screening of irradiated tomatoes.


Hysteresis

Hysteresis

  • The difference in the output when a specific input value is approached first with an increaseing and then with a decreasing input.

Piezoelectric ceramics display hysteretic behavior. Suppose we start at zero applied voltage, gradually increase the voltage to some finite value,and then decrease the voltage back to zero. If we plot the extension of the ceramic as a function of the applied voltage, the descending curve does not retrace the ascending curve - it follows a different path.


Accuracy

Accuracy

  • The degree of correctness with which a measuring system yields the “true value” of a measured quantity (e.g. bull’s eye) --see calibration

http://ull.chemistry.uakron.

edu/analytical/animations/


Precision

Precision

  • The difference between the instrument’s reported values during repeated measurements of the same quantity. Typically determined by statistical analysis of repeated measurements

http://ull.chemistry.uakron.

edu/analytical/animations/


Accuracy precision and standard deviation

Accuracy, precision and standard deviation

  • A measurement can be precise but may not not be accurate

  • The standard deviation (s) is a statistical measure of the precision in a series of repetitive measurements (also often given as  with N the number of data, xi is each individual measurement, and is the mean of all measurements. The value xi - is called the residual for each measurement


Calibration standard curve

Calibration: standard curve

  • A process of adapting a sensor output to a know physical or chemical quantity to improve sensor output accuracy i.e. remove bias

  • A working or standard curve is obtained by measuring the signal from a series of standards of known concentration. The working curves are then used to determine the concentration of an unknown sample, or to calibrate the linearity of an analytical instrument-for relatively simple solutions


What is next

What is Next?


  • Login