SNAPS: Sensor Analytics Point Solutions for Detection and Decision Support Systems

In this review, we discuss the role of sensor analytics point solutions (SNAPS), a reduced complexity machine-assisted decision support tool. We summarize the approaches used for mobile phone-based chemical/biological sensors, including general hardware and software requirements for signal transduction and acquisition. We introduce SNAPS, part of a platform approach to converge sensor data and analytics. The platform is designed to consist of a portfolio of modular tools which may lend itself to dynamic composability by enabling context-specific selection of relevant units, resulting in case-based working modules. SNAPS is an element of this platform where data analytics, statistical characterization and algorithms may be delivered to the data either via embedded systems in devices, or sourced, in near real-time, from mist, fog or cloud computing resources. Convergence of the physical systems with the cyber components paves the path for SNAPS to progress to higher levels of artificial reasoning tools (ART) and emerge as data-informed decision support, as a service for general societal needs. Proof of concept examples of SNAPS are demonstrated both for quantitative data and qualitative data, each operated using a mobile device (smartphone or tablet) for data acquisition and analytics. We discuss the challenges and opportunities for SNAPS, centered around the value to users/stakeholders and the key performance indicators users may find helpful, for these types of machine-assisted tools.

[1]  M. Makary,et al.  Medical error—the third leading cause of death in the US , 2016, British Medical Journal.

[2]  Dunja Mladenic,et al.  Using machine learning on sensor data , 2010, Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces.

[3]  Carsten Binnig,et al.  Towards Interactive Curation & Automatic Tuning of ML Pipelines , 2018, DEEM@SIGMOD.

[4]  Byron E. Collins,et al.  Pattern-based peptide recognition. , 2007, Chemistry.

[5]  Javed Iqbal,et al.  Dissolved Concentrations, Sources, and Risk Evaluation of Selected Metals in Surface Water from Mangla Lake, Pakistan , 2014, TheScientificWorldJournal.

[6]  Peter J. Vikesland,et al.  Nanomaterial enabled sensors for environmental contaminants , 2018, Journal of Nanobiotechnology.

[7]  Mohamed Hamada,et al.  Lego NXT as a learning tool , 2010, ITiCSE '10.

[8]  Arezoo Emadi,et al.  Advanced Micro- and Nano-Gas Sensor Technology: A Review , 2019, Sensors.

[9]  Sandeep Kumar Vashist,et al.  Point-of-Care Diagnostics: Recent Advances and Trends , 2017, Biosensors.

[10]  Sushanta K. Mitra,et al.  Editors' Choice—Artificial Intelligence Based Mobile Application for Water Quality Monitoring , 2019, Journal of The Electrochemical Society.

[11]  Nerea De Acha,et al.  Fluorescent Sensors for the Detection of Heavy Metal Ions in Aqueous Media , 2019, Sensors.

[12]  Hiroshi Tsuno,et al.  Bioaccumulation and primary risk assessment of persistent organic pollutants with various bivalves. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[13]  T. Vámos,et al.  Judea pearl: Probabilistic reasoning in intelligent systems , 1992, Decision Support Systems.

[14]  Pabitra Nath,et al.  Ground and river water quality monitoring using a smartphone-based pH sensor , 2015 .

[15]  Alexandre G. Brolo,et al.  Plasmonics for future biosensors , 2012, Nature Photonics.

[16]  J. A. Goode,et al.  Biosensor Regeneration: A Review of Common Techniques and Outcomes. , 2015, Langmuir : the ACS journal of surfaces and colloids.

[17]  Rashid Bashir,et al.  Electrical/electrochemical impedance for rapid detection of foodborne pathogenic bacteria. , 2008, Biotechnology advances.

[18]  Soojin Jun,et al.  ABE-Stat, a Fully Open-Source and Versatile Wireless Potentiostat Project Including Electrochemical Impedance Spectroscopy , 2019, Journal of the Electrochemical Society.

[19]  Lei Liu,et al.  Advances in Molecularly Imprinting Technology for Bioanalytical Applications , 2019, Sensors.

[20]  W. Webb,et al.  Precise nanometer localization analysis for individual fluorescent probes. , 2002, Biophysical journal.

[21]  Chengzhou Zhu,et al.  Electrochemical Sensors and Biosensors Based on Nanomaterials and Nanostructures , 2014, Analytical chemistry.

[22]  Eric S. McLamore,et al.  Food Processing and Waste Within the Nexus Framework , 2017 .

[23]  A. Meystel.  Architectures for intelligent control systems: The science of autonomous intelligence , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[24]  Remzi Seker,et al.  Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook , 2016, Comput. Ind..

[25]  Julius T. Tou,et al.  Automatic recognition of handwritten characters via feature extraction and multi-level decision , 2005, International Journal of Computer & Information Sciences.

[26]  Pedro Sánchez,et al.  A Low-Cost Sensor Buoy System for Monitoring Shallow Marine Environments , 2012, Sensors.

[27]  D Marr,et al.  A computational theory of human stereo vision. , 1979, Proceedings of the Royal Society of London. Series B, Biological sciences.

[28]  Shoumen Datta,et al.  Emergence of Digital Twins - Is this the march of reason? , 2017 .

[29]  Rupert B. Vance.  The Technological Society. By Jacques Ellul. Translated from the French by John Wilkinson. With an Introduction by Robert K. Merton. New York: Alfred A. Knopf, 1964. 449 pp. $10.95 , 1968 .

[30]  Jun-ichi Anzai,et al.  Recent Progress in Lectin-Based Biosensors , 2015, Materials.

[31]  Derek Tseng,et al.  Fluorescent imaging of single nanoparticles and viruses on a smart phone. , 2013, ACS nano.

[32]  S. Y. Lee,et al.  Optical Biosensors for the Detection of Pathogenic Microorganisms. , 2016, Trends in biotechnology.

[33]  Chonghun Han,et al.  Intelligent systems in process engineering : A review , 1996 .

[34]  Yildiz Uludag,et al.  Sensors and Actuators B: Chemical , 2016 .

[35]  K. M. Koczula,et al.  Lateral flow assays , 2016, Essays in biochemistry.

[36]  Lei Liu,et al.  Smartphone-based sensing system using ZnO and graphene modified electrodes for VOCs detection. , 2017, Biosensors & bioelectronics.

[37]  E. Alocilja,et al.  Magnetic Nanoparticle-Based Biosensing Assay Quantitatively Enhances Acid-Fast Bacilli Count in Paucibacillary Pulmonary Tuberculosis , 2018, Biosensors.

[38]  Ali K. Yetisen,et al.  A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests , 2014 .

[39]  Renato Macciotta,et al.  Quantitative risk assessment of rock slope instabilities that threaten a highway near Canmore, Alberta, Canada: managing risk calculation uncertainty in practice , 2020 .

[40]  Lei Huang,et al.  Feature extraction for online handwritten characters using Delaunay triangulation , 2006, Comput. Graph..

[41]  Noah Olsman,et al.  Allosteric proteins as logarithmic sensors , 2016, Proceedings of the National Academy of Sciences.

[42]  Joseph Wang,et al.  Glucose Biosensors : 40 Years of Advances and Challenges , 2001 .

[43]  E. Alocilja,et al.  Nanoparticle-Based Biosensing of Tuberculosis, an Affordable and Practical Alternative to Current Methods , 2018, Biosensors.

[44]  M. Ozkan,et al.  Nano-oncology: drug delivery, imaging, and sensing , 2006, Analytical and bioanalytical chemistry.

[45]  Roger W. Pryor,et al.  Multiphysics Modeling Using COMSOL®: A First Principles Approach , 2009 .

[46]  S. Anandamurugan,et al.  Challenges and Applications of Wireless Sensor Networks in Smart Farming—A Survey , 2018, Advances in Intelligent Systems and Computing.

[47]  Eric S McLamore,et al.  Actuation of chitosan-aptamer nanobrush borders for pathogen sensing. , 2018, The Analyst.

[48]  D. C. Vanegas,et al.  Graphene-Anchored Cuprous Oxide Nanoparticles from Waste Electric Cables for Electrochemical Sensing , 2018, ACS Sustainable Chemistry & Engineering.

[49]  Rajkumar Buyya,et al.  Big Data Analytics = Machine Learning + Cloud Computing , 2016, ArXiv.

[50]  J Mitchell Guss,et al.  Structure and inhibition of human diamine oxidase. , 2009, Biochemistry.

[51]  Kevin W. Plaxco,et al.  CheapStat: An Open-Source, “Do-It-Yourself” Potentiostat for Analytical and Educational Applications , 2011, PloS one.

[52]  Jacques Monod,et al.  The genetic control and cytoplasmic expression of “Inducibility” in the synthesis of β-galactosidase by E. coli , 1959 .

[53]  R. Nussinov,et al.  The underappreciated role of allostery in the cellular network. , 2013, Annual review of biophysics.

[54]  P. Millner,et al.  A review on viral biosensors to detect human pathogens. , 2010, Analytica chimica acta.

[55]  M. Pumera,et al.  Graphene for impedimetric biosensing , 2012 .

[56]  Marcus Krüger,et al.  Instant Clue: A Software Suite for Interactive Data Visualization and Analysis , 2018, Scientific Reports.

[57]  Konrad P. Kording,et al.  Voodoo Machine Learning for Clinical Predictions , 2016, bioRxiv.

[58]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[59]  K. Ekinci.  Electromechanical transducers at the nanoscale: actuation and sensing of motion in nanoelectromechanical systems (NEMS). , 2005, Small.

[60]  A. Merkoçi,et al.  Mobile phone-based biosensing: An emerging "diagnostic and communication" technology. , 2017, Biosensors & bioelectronics.

[61]  Panos J. Antsaklis,et al.  An introduction to autonomous control systems , 1991 .

[62]  Johan Rockström,et al.  Human and planetary health: towards a common language , 2015, The Lancet.

[63]  Ajeet Kaushik,et al.  Point of Care Sensing Devices: Better Care for Everyone † , 2018, Sensors.

[64]  M. Zacharias,et al.  Nanowire-based sensors. , 2010, Small.

[65]  Eric S McLamore,et al.  Nanomaterial-mediated Biosensors for Monitoring Glucose , 2014, Journal of diabetes science and technology.

[66]  Loh Kee Shyuan,et al.  Electrochemical Sunset Yellow Biosensor Based on Photocured Polyacrylamide Membrane for Food Dye Monitoring , 2018, Sensors.

[67]  Robert T. Collins,et al.  Sensor network interoperability and reconfiguration through mobile agents , 2011 .

[68]  Mariella Tegoni,et al.  Solution structure of a chemosensory protein from the moth Mamestra brassicae. , 2003, The Biochemical journal.

[69]  L. Capitán-Vallvey,et al.  Smartphone-based simultaneous pH and nitrite colorimetric determination for paper microfluidic devices. , 2014, Analytical chemistry.

[70]  Derek K. Tseng,et al.  Imaging and sizing of single DNA molecules on a mobile phone. , 2014, ACS nano.

[71]  Eric S McLamore,et al.  Laser Scribed Graphene Biosensor for Detection of Biogenic Amines in Food Samples Using Locally Sourced Materials , 2018, Biosensors.

[72]  Gerhard J Mohr,et al.  New chromogenic and fluorogenic reagents and sensors for neutral and ionic analytes based on covalent bond formation–a review of recent developments , 2006, Analytical and bioanalytical chemistry.

[73]  Vaibhav Thakare,et al.  Role of Emerging Technology for Building Smart Hospital Information System , 2014 .

[74]  F. J. Pierce,et al.  Regional and on-farm wireless sensor networks for agricultural systems in Eastern Washington , 2008 .

[75]  K. R. Ridderinkhof,et al.  Striatum and pre-SMA facilitate decision-making under time pressure , 2008, Proceedings of the National Academy of Sciences.

[76]  Eric S. McLamore,et al.  Mercury Pollution and Artisanal Gold Mining in Alto Cauca, Colombia: Woman's Perception of Health and Environmental Impacts , 2018, The Journal of Environment & Development.

[77]  Jun Xiao,et al.  Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau. , 2019, The Science of the total environment.

[78]  Tim Kraska,et al.  Towards Quantifying Uncertainty in Data Analysis & Exploration , 2018, IEEE Data Eng. Bull..

[79]  Anthony Turner,et al.  Biosensors: Sense and Sensibility , 2013 .

[80]  Quirine M. Ketterings,et al.  Proximal sensor-based algorithm for variable rate nitrogen application in maize in northeast U.S.A , 2018, Comput. Electron. Agric..

[81]  MisraSudip,et al.  Wireless sensor networks for agriculture , 2015 .

[82]  Richard M. Murray,et al.  On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage , 2006, Autom..

[83]  Carsten Binnig,et al.  Democratizing Data Science through Interactive Curation of ML Pipelines , 2019, SIGMOD Conference.

[84]  Yang Song,et al.  Recent advances in electrochemical biosensors based on graphene two-dimensional nanomaterials. , 2016, Biosensors & bioelectronics.

[85]  Thomas Hirsch,et al.  Future of biosensors: a personal view. , 2013, Advances in biochemical engineering/biotechnology.

[86]  Subhrendu K. Pattanayak,et al.  Safeguarding human health in the Anthropocene epoch: report of The Rockefeller Foundation–Lancet Commission on planetary health , 2015, The Lancet.

[87]  Alex Meystel,et al.  Intelligent control: A sketch of the theory , 1989, J. Intell. Robotic Syst..

[88]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[89]  G. Shi,et al.  Conducting polymer nanomaterials: electrosynthesis and applications. , 2009, Chemical Society reviews.

[90]  Jung-Sik Kim,et al.  MEMS based highly sensitive dual FET gas sensor using graphene decorated Pd-Ag alloy nanoparticles for H2 detection , 2018, Scientific Reports.

[91]  Byungwook Lee,et al.  Closha: bioinformatics workflow system for the analysis of massive sequencing data , 2018, BMC Bioinformatics.

[92]  Jeffrey Heer,et al.  Orion: A system for modeling, transformation and visualization of multidimensional heterogeneous networks , 2011, IEEE VAST.

[93]  Ivana Gadjanski,et al.  Point-of-Need DNA Testing for Detection of Foodborne Pathogenic Bacteria , 2019, Sensors.

[94]  S.P. Mohanty,et al.  Biosensors: a tutorial review , 2006, IEEE Potentials.

[95]  Yanbin Li,et al.  A microfluidic colorimetric biosensor for rapid detection of Escherichia coli O157:H7 using gold nanoparticle aggregation and smart phone imaging. , 2019, Biosensors & bioelectronics.

[96]  John Mitchell,et al.  Small Molecule Immunosensing Using Surface Plasmon Resonance , 2010, Sensors.

[97]  Yang Hao,et al.  Detecting Vital Signs with Wearable Wireless Sensors , 2010, Sensors.

[98]  Narendra Singh Raghuwanshi,et al.  Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges , 2015, Comput. Electron. Agric..

[99]  F BabiceanuRadu,et al.  Big Data and virtualization for manufacturing cyber-physical systems , 2016 .

[100]  Franco Zambonelli,et al.  MARS: A Programmable Coordination Architecture for Mobile Agents , 2000, IEEE Internet Comput..

[101]  Tassaneewan Laksanasopin,et al.  Point-of-Care Diagnostics: Recent Developments in a Connected Age. , 2017, Analytical chemistry.

[102]  Osamu Nagafuchi,et al.  Human health risk assessment of mercury vapor around artisanal small-scale gold mining area, Palu city, Central Sulawesi, Indonesia. , 2016, Ecotoxicology and environmental safety.

[103]  Andy Haines,et al.  Planetary Health Watch: integrated monitoring in the Anthropocene epoch. , 2018, The Lancet. Planetary health.

[104]  河野 宏尚,et al.  Medical devices and medical device system , 2005 .

[105]  Y Rong,et al.  Post hoc support vector machine learning for impedimetric biosensors based on weak protein-ligand interactions. , 2018, The Analyst.

[106]  Robert Bogue,et al.  Nanosensors: a review of recent research , 2009 .

[107]  K. Jayachandran,et al.  Precision Agriculture Application for Sustainable Nitrogen Management of Justicia brandegeana Using Optical Sensor Technology , 2019, Agriculture.

[108]  Kumar Ravi,et al.  Analytics in/for cloud-an interdependence: A review , 2018, J. Netw. Comput. Appl..

[109]  Jihoon Kim,et al.  MAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure , 2014, Bioinform..

[110]  Steven M. Stone.  The Great Digital Homonym , 2019 .

[111]  Wendell Berry,et al.  Planetary health: a new science for exceptional action , 2015 .

[112]  Klaus Bengler,et al.  “Take over!” How long does it take to get the driver back into the loop? , 2013 .

[113]  Zoubin Ghahramani,et al.  Probabilistic machine learning and artificial intelligence , 2015, Nature.

[114]  Satish R. Kolhe,et al.  Agent-Based Architecture for Developing Recommender System in Libraries , 2018 .

[115]  L. Murphy,et al.  Biosensors and bioelectrochemistry. , 2006, Current opinion in chemical biology.

[116]  Yong Duan,et al.  A review of impedance measurements of whole cells. , 2016, Biosensors & bioelectronics.