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Biosensors and Biodetection
Series Editor
John M. Walker
School of Life Sciences
University of Hertfordshire
Hatfield, Hertfordshire, AL10 9AB, UK
For other titles published in this series, go to
www.springer.com/series/7651
Biosensors and Biodetection
Methods and Protocols
Volume 503: Optical-Based Detectors
Edited by
Avraham Rasooly* and Keith E. Herold†
*FDA Center for Devices and Radiological Health, Silver Spring, MD, USA
and
National Cancer Institute, Bethesda, MD, USA
†Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA
METHODS I N MOLECULAR BIOLOGY ™
Editors
Avraham Rasooly Keith E. Herold
FDA Center for Devices Fischell Department of Bioengineering
and Radiological Health University of Maryland
Silver Spring, MD College Park, MD
USA USA
and herold@umd.edu
National Cancer Institute
Bethesda, MD
USA
rasoolya@mail.nih.gov
ISBN: 978-1-60327-566-8 e-ISBN: 978-1-60327-567-5
ISSN: 1064-3745 e-ISSN: 1940-6029
DOI: 10.1007/978-1-60327-567-5
Library of Congress Control Number: 2008941063
© Humana Press, a part of Springer Science+Business Media, LLC 2009
All rights reserved. This work may not be translated or copied in whole or in part without the written permission of
the publisher (Humana Press, c/o Springer Science + Business Media, LLC, 233 Spring Street, New York, NY 10013,
USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of
information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology
now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified
as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
Printed on acid-free paper
springer.com
Preface
1. Biosensor Technologies
In recent years, many types of biosensors have been developed and used in a wide
variety of analytical settings, including biomedical, environmental, research, and others. A biosensor is defined by the International Union of Pure and Applied Chemistry
(IUPAC) as a “device that uses specific biochemical reactions mediated by isolated
enzymes, immunosystems, tissues, organelles, or whole cells to detect chemical compounds usually by electrical, thermal, or optical signals” (1). Thus, almost all biosensors are based on a two-component system: a biological recognition element (ligand)
that facilitates specific binding to or biochemical reaction with a target, and a signal
conversion unit (transducer). Although it is impossible to fully cover the fast-moving
field of biosensing in one publication, this publication presents some of the many
types of biosensors to give the reader a sense of the enormous potential for these
devices.
An early reference to the concept of a biosensor is from Dr. Leland C. Clark,
who worked on biosensors in the early 1960s (2) developing an “enzyme electrode”
for glucose concentration measurement with the enzyme glucose oxidase, a measurement that is important in the diagnosis and treatment of disorders of carbohydrate
metabolism in diabetes patients. Still today, the most common biosensors used are for
glucose analysis.
A large number of basic biosensors, all combining a biological recognition element and a transducer, were subsequently developed. Currently, the trend is toward
more complex integrated multianalyte sensors capable of more comprehensive analyses. Advances in electronics and microelectrical and mechanical systems (MEMS) have
enabled the miniaturization of many biosensors and the newest generation biosensors
include miniaturized multianalyte devices with high-throughput capabilities and more
than 1,000 individually addressable sensor spots per square centimeter.
A useful categorization of biosensors is to divide them into two groups: direct recognition sensors, in which the biological interaction is directly measured, and indirect
detection sensors, which rely on secondary elements for detection. Figure 1 shows a
schematic of the two groups of biosensors. In each group, there are several types of
transducers including optical, electrochemical, and mechanical. For all of these technologies, the recognition ligand plays a major role. Although the most commonly
used ligands are antibodies, other ligands are being developed including aptamers
(protein-binding nucleic acids) and peptides.
In the literature and in practice, there are numerous types of biosensors, and the
choice of a suitable system for a particular application is complex, based on many factors such as the nature of the application, the label molecule (if used), the sensitivity
required, the number of channels (or area), cost, technical expertise, and the speed
of detection needed. A primary purpose of this book is to provide more access to the
v
vi Preface
technical methods involved in using a variety of biosensors to facilitate such decision
making.
Direct detection biosensors utilize direct measurement of the biological interaction. Such detectors typically measure physical changes (e.g., changes in optical,
mechanical, or electrical properties) induced by the biological interaction, and they
do not require labeling (i.e., label free) for detection. Direct biosensors can also be
used in an indirect mode, typically to increase their sensitivity. Direct detection systems include optical-based systems (most common being surface plasmon resonance)
and mechanical systems such as quartz crystal resonators.
Indirect detection sensors rely on secondary elements (labels) for detection. Examples of such secondary elements are enzymes (e.g., alkaline phosphatase or glucose
oxidase) and fluorescently tagged antibodies that enhance detection of a sandwich
complex. Unlike direct detectors, which directly measure changes induced by biological interactions and are “label free,” indirect detectors require a labeled molecule to
bind to the target. Most indirect sensors based on optical detection are designed to
measure fluorescence. The detection system can be based on a charge coupled device
(CCD), photomultiplier tube (PMT), photodiode, or spectrometer. Electrochemical
transducers, which measure the oxidation or reduction of an electroactive compound
on the secondary ligand, are another common type of indirect detection sensor. Several types of electrochemical biosensors are in use including amperometric devices,
which measure the electric current as a function of time while the electrode potential
is held constant.
Ligands are recognition molecules that bind specifically with the target molecule
to be detected. The most important characteristics for ligands are affinity and specificity. Various types of ligands are used in biosensors. Biosensors that use antibodies as
recognition elements (immunosensors) are common because antibodies are highly
specific, versatile, and bind strongly and stably to the antigen. Several limitations of
antibodies are long-term stability, and manufacturing costs, especially for multitarget
biosensor applications where many ligands are needed.
Fig. 1. General schematic of biosensors: (a) direct detection biosensors where the recognition element is label free; (b)
indirect detection biosensors using a “sandwich” assay where the analyte is detected by labeled molecule. Direct detection biosensors are simpler and faster but typically yield a higher limit of detection compared with indirect detection
systems
Other types of ligands that show promise for high-throughput screening and
chemical synthesis are aptamers and peptides. Aptamers are protein-binding nucleic
acids (DNA or RNA molecules) selected from random pools on the basis of their
ability to bind other molecules with high affinity. Peptides can be selected for affinity
to a target molecule by display methods (phage display and yeast display). However,
in general, the binding affinity of peptides is lower than the affinity of antibodies or
aptamers.
2. Biosensor Applications
Biosensors have several potential advantages over other methods of biodetection,
especially increased assay speed and flexibility. Rapid, essentially real-time analysis can
provide immediate interactive information to users. This speed of detection is an
advantage in essentially all applications.
Applications of biosensors include medical, environmental, public security, and
food safety areas. Medical applications include clinical, pharmaceutical and device
manufacturing, and research. Biosensor-based diagnostics might facilitate disease
screening and improve the rates of earlier detection and attendant improved prognosis. Such technology may be extremely useful for enhancing health care delivery in
the community setting and to underserved populations. Environmental applications
include spill clean-up, monitoring, and regulatory instances. Public safety applications
include civil and military first responders as well as unattended monitoring. Food
safety applications include monitoring of food production, regulatory monitoring,
and diagnosis of food poisoning. Biosensors allow multitarget analyses, automation,
and reduced costs of testing.
The key strengths of biosensors are the following:
• Fast or real-time analysis: Fast or real-time detection provides almost immediate
interactive information about the sample tested, enabling users to take corrective
measures before infection or contamination can spread.
• Point-of-care detection: Biosensors can be used for point-of-care or on-site testing
where state-of-the-art molecular analysis is carried out without requiring a stateof-the-art laboratory.
• Continuous flow analysis: Many biosensor technologies can be configured to allow
continuous flow analysis. This is beneficial in food production, air quality, and
water supply monitoring.
• Miniaturization: Biosensors can be miniaturized so that they can be integrated
into powerful lab-on-a-chip tools that are very capable while minimizing cost of
use.
• Control and automation: Biosensors can be integrated with on-line process monitoring schemes to provide real-time information about multiple parameters at
each production step or at multiple time points during a process, enabling better
control and automation of many industrial and critical monitoring facilities.
Preface vii
viii Preface
3. Aims and Approach
The primary aim of this book is to describe the basic types and the basic elements of
biosensors from methods point of view. We tried to include manuscripts that represent
the major technologies in the field and to include enough technical detail so that the
informed reader can both understand the technology and also be able to build similar
devices. The target audience for this book includes engineering, chemical, and physical
science researchers, who are developing biosensing technologies. Other target groups
are biologists and clinicians, who are the users and developers of applications for the
technologies.
In addition to supporting the research community, the book may also be useful
as a teaching tool for bioengineering, biomedical engineering, and biology faculty
and students. To better represent the field, most topics are covered by more than
one chapter. The purpose of this “redundancy” is to try to include several alternative
approaches for the topics, so as to help the reader choose an appropriate design.
4. Chapter Organization
This publication is divided into two volumes: Vol. 503 is focused on Optical-Based
Detectors and Vol. 504 is focused on Electrochemical and Mechanical Detectors,
Lateral Flow, and Ligands for Biosensors.
4.1. Volume 503: Optical-Based Detectors
Optical detection is used in a broad array of biosensor technologies, including both
direct and indirect style sensors. Volume 503 is organized in two parts. Part I focuses
on direct optical detectors, while Part II concentrates on indirect optical detection.
Probably, the most common approach for direct optical detection is based on evanescent wave physics, where the interaction between the evanescent wave and the
bound target generates a detection signal. The most common technology in this
group is surface plasmon resonance (SPR) and several chapters (see Chaps. 1–5)
describe biosensors based on SPR. Other important optical direct detection methods including resonant mirror (see Chap. 6), optical ring resonator (see Chap. 7),
interferometric sensors (see Chaps. 8 and 9) and grating coupler (see Chap. 10) are
all included in Part I. The second part of Vol. 503 describes various indirect optical
detectors. As discussed earlier, indirect detectors require a labeled molecule to bind
to the target generating a signal. For optical sensors, the label molecule emits or
modifies light. Most indirect optical detectors are designed to measure fluorescence.
However, optical detectors can also measure optical density (densitometry), changes
in color (colorimetric), and chemoluminesence, depending on the type of label used.
Optical signals can be measured in various ways (described in Part II) including various CCD-based detectors, which are very versatile, inexpensive, and relatively simple
to construct and use (see Chaps. 11–16 and 25). Other optical detectors discussed
in Part II are photodiodes (see Chaps. 17–20), photomultipliers (see Chaps. 21–23),
Preface ix
and spectrometers (see Chaps. 24 and 25). Photomultipliers may offer higher sensitivity, smaller footprint (the size of photodiode can be few millimeters). Spectrometers offer better interrogation of changes in light wavelengths.
4.2. Volume 504: Electrochemical and Mechanical Detectors, Lateral Flow, and Ligands
Volume 504 describes various electrochemical and mechanical detectors, lateral flow
devices, and ligands for biosensors. As in Vol. 503, we describe several direct measurement sensors (in Part I), indirect methods (Parts II–III). Ligands are described in
Part IV and two related technologies are described in Part V.
In Part I, we describe several mechanical detectors that modify their mechanical
properties as a result of biological interactions. Such mechanical direct biosensors
typically sense resonance of the mechanical element, which changes when the target
molecule binds to the surface. Piezoelectric biosensors (see Chaps. 1–3) employ a
technology that is widely used in a variety of applications (e.g., vapor deposition of
metals) and is thus readily available and relatively inexpensive. Cantilever-based systems (see Chaps. 4 and 5) can be miniaturized to micrometer dimensions with attendant benefits for system and sample size.
In Part II, we describe several electrochemical detectors (see Chaps. 6–11). Electrochemical biosensors were the first biosensors developed and are the most commonly used biosensors today (e.g., glucose monitoring).
Part III covers lateral flow technologies (see Chaps. 12–15). Although lateral flow
devices are not “classical” biosensors, with ligands and transducers, they are included
in this book because of their importance for biosensing. Lateral flow assays are simple immunodetection (or DNA hybridization) devices, which utilize competitive or
sandwich assays. They are used mainly for medical diagnostics, including laboratory,
home and point-of-care detection. A common format is a “dipstick” in which the test
sample diffuses through a porous matrix via capillary action followed by detection by
a colorimetric reagent bound to a secondary antibody. The primary antibody is bound
to the matrix in a line, and the assay result is a color change at a particular location on
the matrix. Lateral flow assays can be dependable and inexpensive.
Part IV focuses on recognition ligands, which are key elements in any biosensor
(see Chaps. 16–22). The recognition ligands bind specifically with the target molecule
to be detected. Various ligands described in Part IV include antibodies, aptamers,
and peptides. Antibodies are the most commonly used ligands but advances in selection methods for aptamers (SELEX) and peptides (phage and yeast display) are currently providing alternatives.
Part V includes two papers on protein (see Chap. 23) and DNA preparation (see
Chap. 24). These papers are relevant to the subject of biosensor technologies but did
not fit elsewhere into the book organization outline.
References
1. IUPAC Compendium of Chemical Terminology 2nd Edition (1997). (1992), International Union
of Pure and Applied Chemistry: Research Triangle Park, NC.
2. Clark LC Jr., Lyons C (1962) Electrode systems for continuous monitoring in cardiovascular surgery. Ann N Y Acad Sci 102:29–45.
Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
Contributors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii
Contents of Volume 504. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xvii
PART I: OPTICAL-BASED DETECTORS
1. Surface Plasmon Resonance and Surface Plasmon Field-Enhanced
Fluorescence Spectroscopy for Sensitive Detection of Tumor Markers . . . . . . . . 3
Yusuke Arima, Yuji Teramura, Hiromi Takiguchi, Keiko Kawano,
Hidetoshi Kotera, and Hiroo Iwata
2. Surface Plasmon Resonance Biosensor for Biomolecular Interaction
Analysis Based on Spatial Modulation Phase Detection . . . . . . . . . . . . . . . . . . . 21
Xiang Ding, Fangfang Liu, and Xinglong Yu
3. Array-Based Spectral SPR Biosensor: Analysis of Mumps Virus Infection . . . . . . 37
Jong Seol Yuk and Kwon-Soo Ha
4. Optical Biosensors Based on Photonic Crystal Surface Waves. . . . . . . . . . . . . . . 49
Valery N. Konopsky and Elena V. Alieva
5. Surface Plasmon Resonance Biosensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Marek Piliarik, Hana Vaisocherová, and Ji í Homola
6. Label-Free Detection with the Resonant Mirror Biosensor. . . . . . . . . . . . . . . . . 89
Mohammed Zourob, Souna Elwary, Xudong Fan, Stephan Mohr,
and Nicholas J. Goddard
7. Label-Free Detection with the Liquid Core Optical Ring
Resonator Sensing Platform. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139
Ian M. White, Hongying Zhu, Jonathan D. Suter, Xudong Fan,
and Mohammed Zourob
8. Reflectometric Interference Spectroscopy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167
Guenther Proll, Goran Markovic, Lutz Steinle, and Guenter Gauglitz
9. Phase Sensitive Interferometry for Biosensing Applications . . . . . . . . . . . . . . . . 179
Digant P. Davé
10. Label-Free Serodiagnosis on a Grating Coupler . . . . . . . . . . . . . . . . . . . . . . . . . 189
Thomas Nagel, Eva Ehrentreich-Förster, and Frank F. Bier
PART II: INDIRECT DETECTORS
11. CCD Camera Detection of HIV Infection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203
John R. Day
12. Simple Luminescence Detector for Capillary Electrophoresis . . . . . . . . . . . . . . . 221
Antonio Segura-Carretero, Jorge F. Fernández-Sánchez,
and Alberto Fernández-Gutiérrez
13. Optical System Design for Biosensors Based on CCD Detection . . . . . . . . . . . . 239
Douglas A. Christensen and James N. Herron
xi
xii Contents
14. A Simple Portable Electroluminescence Illumination-Based CCD Detector . . . . 259
Yordan Kostov, Nikolay Sergeev, Sean Wilson, Keith E. Herold,
and Avraham Rasooly
15. Fluoroimmunoassays Using the NRL Array Biosensor . . . . . . . . . . . . . . . . . . . . 273
Joel P. Golden and Kim E. Sapsford
16. Biosensors Technologies: Acousto-Optic Tunable Filter-Based Hyperspectral
and Polarization Imagers for Fluorescence and Spectroscopic Imaging. . . . . . . . 293
Neelam Gupta
17. Photodiode-Based Detection System for Biosensors. . . . . . . . . . . . . . . . . . . . . . 307
Yordan Kostov
18. Photodiode Array On-chip Biosensor for the Detection
of E. coli O157:H7 Pathogenic Bacteria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325
Joon Myong Song and Ho Taik Kwon
19. DNA Analysis with a Photo-Diode Array Sensor . . . . . . . . . . . . . . . . . . . . . . . . 337
Hideki Kambara and Guohua Zhou
20. Miniaturized and Integrated Fluorescence Detectors
for Microfluidic Capillary Electrophoresis Devices . . . . . . . . . . . . . . . . . . . . . . . 361
Toshihiro Kamei
21. Photomultiplier Tubes in Biosensors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375
Yafeng Guan
22. Integrating Waveguide Biosensor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389
Shuhong Li, Platte Amstutz III, Cha-Mei Tang, Jun Hang, Peixuan Zhu,
Yunqi Zhang, Daniel R. Shelton, and Jeffrey S. Karns
23. Detection of Fluorescence Generated in Microfluidic
Channel Using In-Fiber Grooves and In-Fiber Microchannel Sensors . . . . . . . . 403
Rudi Irawan and Swee Chuan Tjin
24. Multiplex Integrating Waveguide Sensor: Signalyte™-II. . . . . . . . . . . . . . . . . . . 423
Shuhong Li, Yunqi Zhang, Platte Amstutz III, and Cha-Mei Tang
25. CCD Based Fiber-Optic Spectrometer Detection. . . . . . . . . . . . . . . . . . . . . . . . 435
Rakesh Kapoor
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447
Contributors
ELENA V. ALIEVA • Institute of Spectroscopy, Russian Academy of Sciences, Troitsk,
Moscow Region, Russia
PLATTE AMSTUTZ • Creatv MicroTech, Inc., Potomac, MD, USA
YUSUKE ARIMA • Institute for Frontier Medical Sciences, Kyoto University, Kyoto,
Japan
FRANK F. BIER • Department of Molecular Bioanalytics & Bioelectronics, Fraunhofer
Institute for Biomedical Engineering, Branch Potsdam-Golm, Potsdam, Germany
Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
DOUGLAS A. CHRISTENSEN • Department of Bioengineering and Department of
Electrical & Computer Engineering, University of Utah, Salt Lake City, UT, USA
DIGANT P. DAVÉ • University of Texas at Arlington, Arlington, TX, USA
JOHN R. DAY • Gen-Probe Incorporated, San Diego, CA, USA
XIANG DING • Department of Precision Instruments and Mechanics, Tsinghua
University, Beijing, China
EVA EHRENTREICH-FÖRSTER • Department of Molecular Bioanalytics & Bioelectronics,
Fraunhofer Institute for Biomedical Engineering, Branch Potsdam-Golm, Potsdam,
Germany
SOUNA ELWARY • Biosensors Division, Biophage Pharma, Montreal, QC, Canada
XUDONG FAN • Department of Biological Engineering, University of
Missouri-Columbia, Columbia, MO, USA
ALBERTO FERNÁNDEZ-GUTIÉRREZ • Department of Analytical Chemistry,
Faculty of Sciences, University of Granada, Granada, Spain
JORGE F. FERNÁNDEZ-SÁNCHEZ • Department of Analytical Chemistry,
Faculty of Sciences, University of Granada, Granada, Spain
GUENTER GAUGLITZ • Institute of Physical and Theoretical Chemistry,
University of Tuebingen, Tuebingen, Germany
NICHOLAS J. GODDARD • School of Chemical Engineering and Analytical Science
(CEAS), The University of Manchester, Manchester, UK
JOEL P. GOLDEN • Center for Bio/Molecular Science & Engineering,
US Naval Research Laboratory, Washington, DC, USA
YAFENG GUAN • Department of Instrumentation & Analytical Chemistry,
Dalian Institute of Chemical Physics, Dalian, China
NEELAM GUPTA • Army Research Laboratory, Adelphi, MD, USA
KWON-SOO HA • Department of Molecular and Cellular Biochemistry and
Nanobio Sensor Research Center, Kangwon National University College
of Medicine, Chuncheon, Kangwon-do, Korea
JUN HANG • Creatv MicroTech, Inc., Potomac, MD, USA
xiii
xiv Contributors
KEITH E. HEROLD • Fischell Department of Bioengineering, University of Maryland,
College Park, MD, USA
JAMES N. HERRON • Fischell Department of Bioengineering and Department of
Electrical & Computer Engineering, University of Utah, Salt Lake City, UT, USA
JIrˇÍ HOMOLA • Institute of Photonics and Electronics, Academy of Sciences of the
Czech Republic, Prague, Czech Republic
RUDI IRAWAN • BioMedical Engineering Research Centre, Singapore-University
of Washington Alliance, Nanyang Technological University, Singapore
Department of Physics, University of Lampung, Bandar Lampung, Indonesia
HIROO IWATA • Institute for Frontier Medical Sciences, Kyoto University, Kyoto, Japan
HIDEKI KAMBARA • Central Research Laboratory, Hitachi Ltd., Tokyo, Japan
TOSHIHIRO KAMEI • National Institute of Advanced Industrial Science and
Technology (AIST), Ibaraki, Japan
RAKESH KAPOOR • Department of Physics, University of Alabama at Birmingham,
Birmingham, AL, USA
JEFFREY S. KARNS • Environmental Microbial Safety Laboratory, U.S. Department
of Agriculture-Agricultural Research Service, Beltsville, MD, USA
KEIKO KAWANO • Advanced Software Technology and Mechatronics Research
Institute of Kyoto, Kyoto, Japan
VALERY N. KONOPSKY • Institute of Spectroscopy, Russian Academy of Sciences, Troitsk,
Moscow Region, Russia
YORDAN KOSTOV • Center for Advanced Sensor Technology, University of Maryland
Baltimore County (UMBC), Baltimore, MD, USA
HIDETOSHI KOTERA • Department of Microengineering, Graduate School of
Engineering, Kyoto University, Kyoto, Japan
HO TAIK KWON • Celltek Co., Ltd., Ansan-si, South Korea
SHUHONG LI • Creatv MicroTech, Inc., Potomac, MD, USA
FANGFANG LIU • Department of Precision Instruments and Mechanics,
Tsinghua University, Beijing, China
GORAN MARKOVIc • Institute of Physical and Theoretical Chemistry, University
of Tuebingen, Tuebingen, Germany
STEPHAN MOHR • School of Chemical Engineering and Analytical Science (CEAS),
The University of Manchester, Manchester, UK
THOMAS NAGEL • Department of Molecular Bioanalytics & Bioelectronics, Fraunhofer
Institute for Biomedical Engineering, Branch Potsdam-Golm, Potsdam, Germany
Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
MAREK PILIARIK • Institute of Photonics and Electronics, Academy of Sciences of the
Czech Republic, Prague, Czech Republic
GUENTHER PROLL • Institute of Physical and Theoretical Chemistry, University
of Tuebingen, Tuebingen, Germany
AVRAHAM RASOOLY • FDA Center for Devices and Radiological Health, Silver Spring,
MD, USA, National Cancer Institute, Bethesda, MD, USA
Contributors xv
KIM E. SAPSFORD • Center for Bio/Molecular Science & Engineering, US Naval
Research Laboratory, Washington, DC, USA
ANTONIO SEGURA-CARRETERO • Department of Analytical Chemistry, Faculty of
Sciences, University of Granada, Granada, Spain
NIKOLAY SERGEEV • FDA Center for Devices and Radiological Health, Silver Spring,
MD, USA
DANIEL R. SHELTON • Environmental Microbial Safety Laboratory, U.S. Department
of Agriculture-Agricultural Research Service, Beltsville, MD, USA
JOON MYONG SONG • Research Institute of Pharmaceutical Sciences and College
of Pharmacy, Seoul National University, Seoul, South Korea
LUTZ STEINLE • Institute of Physical and Theoretical Chemistry, University
of Tuebingen, Tuebingen, Germany
JONATHAN D. SUTER • Biological Engineering Department, University
of Missouri-Columbia, Columbia, MO, USA
HIROMI TAKIGUCHI • Advanced Software Technology and Mechatronics Research
Institute of Kyoto, Kyoto, Japan
CHA-MEI TANG • Creatv MicroTech, Inc., Potomac, MD, USA
YUJI TERAMURA • Department of Polymer Chemistry, Graduate School of Engineering,
Kyoto University, Kyoto, Japan
SWEE CHUAN TJIN • Photonics Research Centre, School of Electrical and Electronic
Engineering, Nanyang Technological University, Singapore
HANA VAISOCHEROVÁ • Institute of Photonics and Electronics, Academy of Sciences
of the Czech Republic, Prague, Czech Republic
IAN M. WHITE • Biological Engineering Department, University of
Missouri-Columbia, Columbia, MO, USA
SEAN WILSON • University of Maryland Baltimore County (UMBC),
Baltimore, MD, USA
Xinglong Yu • Department of Precision Instruments and Mechanics, Tsinghua
University, Beijing, China
JONG SEOL YUK • Department of Molecular and Cellular Biochemistry and
Nanobio Sensor Research Center, Kangwon National University College
of Medicine, Chuncheon, Kangwon-do, Korea
YUNQI ZHANG • Creatv MicroTech, Inc., Potomac, MD, USA
GUOHUA ZHOU • Central Research Laboratory, Hitachi Ltd., Tokyo, Japan
HONGYING ZHU • Biological Engineering Department, University of
Missouri-Columbia, Columbia, MO, USA
PEIXUAN ZHU • Creatv MicroTech, Inc., Potomac, MD, USA
MOHAMMED ZOUROB • Biosensors Division, Biophage Pharma, Montreal,
QC, Canada
Contents of Volume 504
Preface
Contributors
Contents of Volume 503
PART I: MECHANICAL DETECTORS
1. A Set of Piezoelectric Biosensors Using Cholinesterases
Carsten Teller, Jan Halámek, Alexander Makower, and Frieder W. Scheller
2. Piezoelectric Biosensors for Aptamer–Protein Interaction
Sara Tombelli, Alessandra Bini, Maria Minunni, and Marco Mascini
3. Piezoelectric Quartz Crystal Resonators Applied for Immunosensing
and Affinity Interaction Studies
Petr Skládal
4. Biosensors Based on Cantilevers
Mar Álvarez, Laura G. Carrascosa, Kiril Zinoviev, Jose A. Plaza,
and Laura M. Lechuga
5. Piezoelectric-Excited Millimeter-Sized Cantilever Biosensors
Raj Mutharasan
PART II: ELECTROCHEMICAL DETECTORS
6. Preparation of Screen-Printed Electrochemical Immunosensors
for Estradiol, and Their Application in Biological Fluids
Roy M. Pemberton and John P. Hart
7. Electrochemical DNA Biosensors: Protocols for Intercalator-Based
Detection of Hybridization in Solution and at the Surface
Kagan Kerman, Mun’delanji Vestergaard, and Eiichi Tamiya
8. Electrochemical Biosensor Technology: Application to Pesticide Detection
Ilaria Palchetti, Serena Laschi, and Marco Mascini
9. Electrochemical Detection of DNA Hybridization Using Micro and Nanoparticles
María Teresa Castañeda, Salvador Alegret, and Arben Merkoçi
10. Electrochemical Immunosensing Using Micro and Nanoparticles
Alfredo de la Escosura-Muñiz, Adriano Ambrosi, Salvador Alegret,
and Arben Merkoçi
11. Methods for the Preparation of Electrochemical Composite
Biosensors Based on Gold Nanoparticles
A. González-Cortés, P. Yáñez-Sedeño, and J.M. Pingarrón
PART III: LATERAL FLOW
12. Immunochromatographic Lateral Flow Strip Tests
Gaiping Zhang, Junqing Guo, and Xuannian Wang
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