Smartphone-based detection devices : emerging trends in analytical techniques /

Smartphone usage has created a new means for detection, analysis, diagnosis and monitoring through the use of new apps and attachments.These breakthrough analytical methods offer ways to overcome the drawbacks of more conventional methods, such as the expensive instrumentation that is often needed,...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Hussain, Chaudhery Mustansar
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier, 2021.
Subjects:	Physical sciences > Data processing. Physical sciences > Research. Research > Methodology. Smartphones > Computer programs. Remote sensing. Smartphone Remote Sensing Technology Sciences physiques > Informatique. Sciences physiques > Recherche. Recherche > Méthodologie. Téléphones intelligents > Logiciels. Télédétection. remote sensing. Physical sciences > Data processing Physical sciences > Research Research > Methodology Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Front cover
Half title
Full title
Copyright
Dedication
Contents
Contributors
About the Editor
Preface
1
Smartphone: A new perspective in analysis
1.1 Introduction
1.2 Applications of smartphone-based sensor systems
1.2.1 Smartphone-based colorimetric sensors
1.2.2 Smartphone-based luminescence and fluorescence sensors
1.2.3 Smartphone-based spectrometers
1.3 Conclusions
References
2
Smartphone-based optical and electrochemical sensing
2.1 Introduction
2.2 Optical sensing based on smartphone technology
2.3 Electrochemical sensing based on smartphone technology
2.4 Conclusions
References
3
Optical methods using smartphone platforms for mycotoxin detection
3.1 Introduction
3.2 Mycotoxins
3.3 Colorimetric detection
3.4 Smartphone as a portable detection
3.4.1 Recommend hardware requirements
3.4.2 Smartphone applications in food analysis
3.5 Conclusions
References
4
Fluorescence measurements, imaging and counting by a smartphone
4.1 Introduction
4.2 The applications of smartphone for the construction of biosensors
4.2.1 Smartphone-based fluorescence spectrometer
4.2.2 Smartphone-based imaging and quantitative analysis
4.2.3 Smartphone-based microscope for particle counting
4.3 Conclusion and prospects
References
5
Spectrometric measurements
5.1 Introduction
5.2 Transmission grating configured smartphone spectrometers
5.3 Reflection diffraction grating configured smartphone spectrometers
5.4 Smartphone-based Raman spectroscopy
5.5 Conclusion
References
6
Smartphone as barcode reader
6.1 Introduction
6.2 Smartphone based applications in analytical chemistry
6.3 Smartphones as barcode reader
6.4 Conclusions
Acknowledgement
References.
9.3.3 Model training
9.3.4 Decoding
9.4 Map-matching and interpolation
9.4.1 Problem description
9.4.2 Multi-Steps least cost algorithm
9.5 Validation and analysis
9.5.1 Mode detection result
9.5.1.1 Mode detection validation
9.5.1.2 Mode detection analysis
9.5.2 Stay point extraction result
9.5.3 Home location extraction result
9.5.4 OD matrices estimation result
9.5.5 Trajectory estimation result
9.5.5.1 Trajectory estimation validation
9.5.5.2 Trajectory estimation analysis
9.5.6 Traffic volume and average speed estimation result
9.5.6.1 Traffic volume and average speed estimation validation
9.5.6.2 Traffic volume and average speed estimation analysis
References
10
Chemical analysis
10.1 Introduction
10.2 Colorimetric-based techniques
10.3 Fluorescence-based techniques
10.4 Foam measurement technique
10.5 Electrochemical-based techniques
10.6 Conclusion
References
11
Applications of smartphones in analysis: Challenges and solutions
11.1 Introduction
11.2 Development of a mobile colorimetric analysis tool: challenges and solutions
11.2.1 PhotoMetrix®: the case study using images
11.2.1.1 Composing an image
11.2.1.2 Univariate analysis methods
11.2.1.3 Multivariate analysis method
11.2.1.4 Data pre-processing
11.2.1.5 Proposed solution
11.2.1.6 Development the methodologies
11.2.1.7 Planning
11.2.1.8 Development
11.2.1.9 Testing
11.3 Applications of smartphones in analysis
11.3.1 Applications of smartphones in chemical analysis
11.3.1.1 Applications using smartphone and with external processing
11.3.1.2 Applications using smartphone with processing embedded
11.3.1.3 Advantages, limitations, and perspectives
11.3.2 Applications of smartphones in environmental analysis.
11.3.2.1 Applications
11.3.2.2 Challenges and perspectives of the smartphone applications s in environmental analysis
11.3.3 Applications of smartphones in clinical analysis
11.3.3.1 Identifying biomarker of human disease using smartphone technology as portable detector
11.3.3.1.1 Smartphones as optical microscopy
11.3.3.1.2 Smartphones as colorimetric detector
11.3.3.1.3 Smartphones as electrochemical detector
11.3.3.2 Smartphone technology limitations for clinical analysis
11.3.4 Applications of smartphones in forensics analysis
11.3.4.1 Design and development of application for crime scene
11.3.4.2 Limitations for applications in crime scenes investigation
11.4 Conclusions
References
12
Applications of smartphones in food analysis
12.1 Introduction
12.2 Food quality and authenticity
12.3 Food safety
12.4 Concluding remarks
Acknowledgements
References
13
Smartphone-based detection devices for the agri-food industry
13.1 Introduction
13.2 Biosensors and their amalgamation with smartphones
13.2.1 A basic overview of biosensors
13.2.2 The architecture of smartphone devices
13.2.3 Data mining strategies for detection devices applicable in food industries
13.2.4 Classification of smartphone-based detection platforms
13.2.4.1 Internet of things (IoT)
13.2.4.2 Smartphone biosensors (SPB)
13.3 Application of smartphone- based services in agri-food processing
13.3.1 Smartphone applications for irrigation, seed testing, fertilization, soil management, and knowledge sharing
13.3.2 Role of the smartphone in storage management and traceability in the food processing supply chain
13.3.3 Smartphone for quality assurance in the food industry
13.3.4 Major challenges
13.4 Conclusions
References.
14
Point-of-need detection with smartphone
14.1 Introduction
14.2 Modern needs in communicable diseases and bacteria detection
14.2.1 Emerging burden of bacterial infections
14.2.2 Antimicrobial resistance as a global burden
14.2.3 Escherichia coli
the antibiotic resistant superbug
14.2.4 Urinary tract infections (UTIs)
14.3 Modern needs in non-communicable diseases
14.4 Point-of-need integration of conventional analytical techniques
14.4.1 Microbiological bacteria detection
14.4.2 Immunoassays
14.4.3 Fundamentals of immunoassays
14.4.4 Antibody-antigen interaction
14.4.5 Immunoassay configurations
14.4.6 Immunoassay performance
14.4.7 Immunoassays standard platform and considerations for translating to point-of-need
14.4.8 Antibody immobilization and relevance of surface area
14.5 Point-of-need trends in immunoassays miniaturization
14.6 Modern point-of-need fluidic capabilities
14.6.1 Microfluidic platforms for bacterial detection and quantitation at the point-of-need
14.6.2 Materials for microfluidic platforms
14.6.3 Fluorinated microcapillary film (MCF)
14.7 Positioning of smartphone technology in point-of-need testing
14.8 Camera requirements for smartphone diagnostics and digital imaging of microfluidic bioassays
14.9 Example of point-of-need smartphone tests developed by our research team
14.9.1 Case study 1: smartphone detection of PSA
14.9.2 Case study 2: smartphone detection of UTIs
14.10 Conclusions
References
15
Point-of-care diagnostics with smartphone
15.1 Introduction
15.2 Point-of-care testing (POCT)
15.3 Detection methods
15.4 Applications of smartphone-based POCD/POCT
15.5 Benefits of smartphone-based POCD/POCT
15.6 Development considerations.