Download Chemical Sensors and Biosensors: Fundamentals and by Florinel-Gabriel Banica PDF

By Florinel-Gabriel Banica

This is a contemporary introductory e-book on sensors, combining underlying idea with bang modern issues akin to nanotechnology. The textual content is appropriate for graduate scholars and study scientists with little heritage in analytical chemistry. it really is uncomplicated, with an available theoretical technique of the fundamental rules, and references for additional interpreting. The book covers updated advances within the sensor box, e.g. nanotechnology, microfluidics, and quantum dots. It comprises calculation routines and strategies, and incorporates a advisor to Laboratory routines crucial for direction teachers and for experimental tasks. An accompanying site includes color illustrations and Powerpoint slides.

Chapter 1 What are Chemical Sensors? (pages 1–20):
Chapter 2 Protein constitution and homes (pages 21–27):
Chapter three Enzymes and Enzymatic Sensors (pages 28–49):
Chapter four Mathematical Modeling of Enzymatic Sensors (pages 50–65):
Chapter five fabrics and strategies in Chemical?Sensor production (pages 66–100):
Chapter 6 Affinity?Based acceptance (pages 101–117):
Chapter 7 Nucleic Acids in Chemical Sensors (pages 118–134):
Chapter eight Nanomaterial functions in Chemical Sensors (pages 135–156):
Chapter nine Thermochemical Sensors (pages 157–164):
Chapter 10 Potentiometric Sensors (pages 165–216):
Chapter eleven Chemical Sensors in response to Semiconductor digital units (pages 217–245):
Chapter 12 Resistive gasoline Sensors (Chemiresistors) (pages 246–257):
Chapter thirteen Dynamic Electrochemistry Transduction equipment (pages 258–313):
Chapter 14 Amperometric Enzyme Sensors (pages 314–331):
Chapter 15 Mathematical Modeling of Mediated Amperometric Enzyme Sensors (pages 332–346):
Chapter sixteen Electrochemical Affinity and Nucleic Acid Sensors (pages 347–366):
Chapter 17 Electrical?Impedance?Based Sensors (pages 367–403):
Chapter 18 Optical Sensors – basics (pages 404–434):
Chapter 19 Optical Sensors – purposes (pages 435–453):
Chapter 20 Nanomaterial functions in Optical Transduction (pages 454–472):
Chapter 21 Acoustic?Wave Sensors (pages 473–506):
Chapter 22 Microcantilever Sensors (pages 507–517):
Chapter 23 Chemical Sensors in keeping with Microorganisms, residing Cells and Tissues (pages 518–529):

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Additional info for Chemical Sensors and Biosensors: Fundamentals and Applications

Example text

2). Owing to the multiplicity of chemical bonding, association complexes of this type can be very stable. Affinity interactions are very common in biological systems. An example of this type is represented by lectin proteins that recognize carbohydrates and form association complexes with such compounds. A common type of affinity interaction is represented by the antibody–antigen interaction. Antibodies are glycoproteins produced by the immune system to identify and neutralize pathogen micro-organisms such as bacteria and viruses.

1 Reliability of the Measurement The terms accuracy, precision and trueness define the reliability of the analytical measurement. The accuracy indicates the degree of concordance between the concentration determined in a single test, and the true concentration (that is, the concentration in a certified reference material). The difference between the certified and measured concentration represents the bias: biasðcÞ ¼ ctest À ctrue ð1:13Þ A bias may be due to systematic errors produced by wrong calibration or improper operation of the sensor.

Nucleic acids are composed of a polymeric backbone onto which nucleobases are grafted. There are four nucleobases in DNA compositions, namely adenine (A), cytosine (C), guanine (G), and thymine (T). In RNAs, thymine is replaced by uracil (U). A sequence of three nucleobases codifies an amino acid and a sequence of nucleobase triplets codifies the primary structure of a protein. 4 Chemical Sensors and Biosensors Significantly, hydrogen bonds can only form between two distinct pairs of nucleobases, which are G-C and A-T in DNAs (or A-U in RNAs).

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