Chemometrics Review for Chemical Sensor Development Task 7 Report
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Real-Time Wavelet Compression and Self-Modeling Curve
REAL-TIME WAVELET COMPRESSION AND SELF-MODELING CURVE RESOLUTION FOR ION MOBILITY SPECTROMETRY A dissertation presented to the faculty of the College of Arts and Sciences of Ohio University In partial fulfillment of the requirements for the degree Doctor of Philosophy Guoxiang Chen March 2003 This dissertation entitled REAL-TIME WAVELET COMPRESSION AND SELF-MODELING CURVE RESOLUTION FOR ION MOBILITY SPECTROMETRY BY GUOXIANG CHEN has been approved for the Department of Chemistry and Biochemistry and the College of Arts and Sciences by Peter de B. Harrington Associate Professor of Chemistry and Biochemistry Leslie A. Flemming Dean, College of Arts and Sciences CHEN, GUOXIANG. Ph.D. March 2003. Analytical Chemistry Real-Time Wavelet Compression and Self-Modeling Curve Resolution for Ion Mobility Spectrometry (203 pp.) Director of Dissertation: Peter de B. Harrington Chemometrics has proven useful for solving chemistry problems. Most of the chemometric methods are applied in post-run analyses, for which data are processed after being collected and archived. However, in many applications, real-time processing is required to obtain knowledge underlying complex chemical systems instantly. Moreover, real-time chemometrics can eliminate the storage burden for large amounts of raw data that occurs in post-run analyses. These attributes are important for the construction of portable intelligent instruments. Ion mobility spectrometry (IMS) furnishes inexpensive, sensitive, fast, and portable sensors that afford a wide variety of potential applications. SIMPLe-to-use Interactive Self-modeling Mixture Analysis (SIMPLISMA) is a self-modeling curve resolution method that has been demonstrated as an effective tool for enhancing IMS measurements. However, all of the previously reported studies have applied SIMPLISMA as a post-run tool. -
Curriculum Vitae
Jeff Goldsmith 722 W 168th Street, 6th floor New York, NY 10032 jeff[email protected] Date of Preparation April 20, 2021 Academic Appointments / Work Experience 06/2018{Present Department of Biostatistics Mailman School of Public Health, Columbia University Associate Professor 06/2012{05/2018 Department of Biostatistics Mailman School of Public Health, Columbia University Assistant Professor 01/2009{12/2010 Department of Biostatistics Bloomberg School of Public Health, Johns Hopkins University Research Assistant (R01NS060910) 01/2008{12/2009 Department of Biostatistics Bloomberg School of Public Health, Johns Hopkins University Research Assistant (U19 AI060614 and U19 AI082637) Education 08/2007{05/2012 Johns Hopkins University PhD in Biostatistics, May 2012 Thesis: Statistical Methods for Cross-sectional and Longitudinal Functional Observations Advisors: Ciprian Crainiceanu and Brian Caffo 08/2003{05/2007 Dickinson College BS in Mathematics, May 2007 Jeff Goldsmith 2 Honors 04/2021 Dean's Excellence in Leadership Award 03/2021 COPSS Leadership Academy For Emerging Leaders in Statistics 06/2017 Tow Faculty Scholar 01/2016 Public Voices Fellow 10/2013 Calderone Junior Faculty Prize 05/2012 ASA Biometrics Section Travel Award 12/2011 Invited Paper in \Highlights of JCGS" Session at Interface 05/2011 Margaret Merrell Award for Outstanding Research by a Biostatistics Doc- toral Student 05/2011 School-wide Teaching Assistant Recognition Award 05/2011 Helen Abbey Award for Excellence in Teaching 03/2011 ENAR Distinguished Student Paper Award 05/2010 Jane and Steve Dykacz Award for Outstanding Paper in Medical Statistics 05/2009 Nominated for School-wide Teaching Assistant Recognition Award 08/2007{05/2012 Sommer Scholar 05/2007 James Fowler Rusling Prize 05/2007 Lance E. -
Polymer Based Chemical Sensor Array Fabricated with Conventional Microelectronic Processes
JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS, Vol. 12, No. 5, May 2010, p. 1147 - 1152 Polymer based chemical sensor array fabricated with conventional microelectronic processes M. KITSARAa,b, D. GOUSTOURIDISa, E. VALAMONTESc, P. OIKONOMOUa, K. BELTSIOSb, I. RAPTISa* aInstitute of Microelectronics, NCSR “Demokritos”, 15310, Athens, Greece bMaterials Science and Engineering Dept, University of Ioannina, Ioannina 45110 Greece cElectronics Engineering Dept, TEI of Athens, Egaleo 12243, Greece A polymer array fabricated on the same substrate with conventional microelectronic processes is introduced for gas sensing applications. The process is based on photolithographic processes and takes advantage of the balance between UV exposure dose, material tone and developers used. The sensing properties of the lithographically defined films in the array were characterized for various analytes through in situ monitoring of films swelling by white light reflectance spectroscopy. The sensing responses are post processed by Principal Component Analysis and the discrimination between analytes with similar and totally different analytes is presented. (Received January 4, 2010; accepted May 26, 2010) Keywords: Chemical sensors, Polymer deposition, Photolithography, Vapor sorption, Polymer swelling 1. Introduction providing bulk absorption. Vacuum deposition techniques are also possible methods of obtaining thin polymer films One of the most important problems in chemical including mostly sputtering [13], plasma polymerization sensor fabrication is the controlled deposition of the [14]. chemically sensitive layer on the transducer [1]. This In the present work a series of photosensitive problem becomes more critical in the case of sensor arrays polymeric materials is defined on the same substrate using where different sensing materials should be deposited on conventional lithographic techniques only. -
Multivariate Chemometrics As a Strategy to Predict the Allergenic Nature of Food Proteins
S S symmetry Article Multivariate Chemometrics as a Strategy to Predict the Allergenic Nature of Food Proteins Miroslava Nedyalkova 1 and Vasil Simeonov 2,* 1 Department of Inorganic Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia, 1 James Bourchier Blvd., 1164 Sofia, Bulgaria; [email protected]fia.bg 2 Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia, 1 James Bourchier Blvd., 1164 Sofia, Bulgaria * Correspondence: [email protected]fia.bg Received: 3 September 2020; Accepted: 21 September 2020; Published: 29 September 2020 Abstract: The purpose of the present study is to develop a simple method for the classification of food proteins with respect to their allerginicity. The methods applied to solve the problem are well-known multivariate statistical approaches (hierarchical and non-hierarchical cluster analysis, two-way clustering, principal components and factor analysis) being a substantial part of modern exploratory data analysis (chemometrics). The methods were applied to a data set consisting of 18 food proteins (allergenic and non-allergenic). The results obtained convincingly showed that a successful separation of the two types of food proteins could be easily achieved with the selection of simple and accessible physicochemical and structural descriptors. The results from the present study could be of significant importance for distinguishing allergenic from non-allergenic food proteins without engaging complicated software methods and resources. The present study corresponds entirely to the concept of the journal and of the Special issue for searching of advanced chemometric strategies in solving structural problems of biomolecules. Keywords: food proteins; allergenicity; multivariate statistics; structural and physicochemical descriptors; classification 1. -
Copula-Based Analysis of Dependent Data with Censoring and Zero Inflation
Copula-Based Analysis of Dependent Data with Censoring and Zero Inflation by Fuyuan Li B.S. in Telecommunication Engineering, May 2012, Beijing University of Technology M.S. in Statistics, May 2014, The George Washington University A Dissertation submitted to The Faculty of The Columbian College of Arts and Sciences of The George Washington University in partial satisfaction of the requirements for the degree of Doctor of Philosophy January 10, 2019 Dissertation directed by Huixia J. Wang Professor of Statistics The Columbian College of Arts and Sciences of The George Washington University certifies that Fuyuan Li has passed the Final Examination for the degree of Doctor of Philosophy as of December 7, 2018. This is the final and approved form of the dissertation. Copula-Based Analysis of Dependent Data with Censoring and Zero Inflation Fuyuan Li Dissertation Research Committee: Huixia J. Wang, Professor of Statistics, Dissertation Director Tapan K. Nayak, Professor of Statistics, Committee Member Reza Modarres, Professor of Statistics, Committee Member ii c Copyright 2019 by Fuyuan Li All rights reserved iii Acknowledgments This work would not have been possible without the financial support of the National Science Foundation grant DMS-1525692, and the King Abdullah University of Science and Technology office of Sponsored Research award OSR-2015-CRG4-2582. I am grateful to all of those with whom I have had the pleasure to work during this and other related projects. Each of the members of my Dissertation Committee has provided me extensive personal and professional guidance and taught me a great deal about both scientific research and life in general. -
Principal Component Analysis
Tutorial n Chemometrics and Intelligent Laboratory Systems, 2 (1987) 37-52 Elsevier Science Publishers B.V., Amsterdam - Printed in The Netherlands Principal Component Analysis SVANTE WOLD * Research Group for Chemometrics, Institute of Chemistry, Umei University, S 901 87 Urned (Sweden) KIM ESBENSEN and PAUL GELADI Norwegian Computing Center, P.B. 335 Blindern, N 0314 Oslo 3 (Norway) and Research Group for Chemometrics, Institute of Chemistry, Umed University, S 901 87 Umeci (Sweden) CONTENTS Intr~uction: history of principal component analysis ...... ............... ....... 37 Problem definition for multivariate data ................ ............... ....... 38 A chemical example .............................. ............... ....... 40 Geometric interpretation of principal component analysis ... ............... ....... 41 Majestical defi~tion of principal component analysis .... ............... ....... 41 Statistics; how to use the residuals .................... ............... ....... 43 Plots ......................................... ............... ....... 44 Applications of principal component analysis ............ ............... ....... 46 8.1 Overview (plots) of any data table ................. ............... ..*... 46 8.2 Dimensionality reduction ....................... ............... 46 8.3 Similarity models ............................. ............... , . 47 Data pre-treatment .............................. ............... *....s. 47 10 Rank, or dim~sion~ty, of a principal components model. .......................... 48 -
Chemometrics in Europe: I (R;Q,P)= I (Q11p) Na (2) Selected Results
Volume 93, Number 3, May-June 1988 Journal of Research of the National Bureau of Standards Accuracy in Trace Analysis [C]={[E]' [El> [E] [A] tions to the field. Obviously, this is not the place to offer a review on chemometrics, let alone one that to recalculate the concentration profiles. This pro- is restricted to a continent. cess (truncation, normalization and pseudoinverse The definition of chemometrics [I] comprises followed by pseudoinverse) was repeated until no three distinct areas characterized by the key words further refinement occurred. "optimal measurements," "maximum chemical in- The concentration profiles and spectra of the formation" and, for analytical chemistry something three unknown components of stearyl alcohol in that sounds like the synopsis of the other two: "op- carbon tetrachloride obtained in this manner were timal way [to obtain] relevant information." found to make chemical sense. This EFA procedure, unlike others, was success- ful in extracting concentration profiles from situa- Information Theory tions where one component profile was completely encompassed underneath another component Eckschlager and Stepanek [2-5] pioneered the profile. adaption and application of information theory in analytical chemistry. One of their important results gives the information gain of a quantitative deter- References mination [5] [I] Malinowski, E. R., and Howery, D. G., Factor Analysis in Chemistry, Wiley Interscience, New York (1980). [2] Gemperline, P. G., J. Chem. Inf. Comput. Sci. 24, 206 I (qI 1p)=lIn toII)= n(X 2SV2xR-en-xl) \/nA (I) (1984). [3] Vandeginste, B. G. M., Derks, W., and Kateman, G., Anal. Chim. Acta 173, 253 (1985). [4] Gampp, H., Macder, M., Meyer, C. -
Wearable RF Resonant Gaseous Chemical Sensor Array
Wearable RF Resonant Gaseous Chemical Sensor Array by Wei Ting Chen A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Electrical and Computer Engineering Waterloo, Ontario, Canada, 2015 © Wei Ting Chen 2015 AUTHOR’S DECLARATION I hereby declare that I am the sole author of the thesis. This is the true copy of the thesis, including any required final revision, as accepted by the examiners. I understand that my thesis may be made electronically available to the public. ii ABSTRACT Biomarker detection is a major engineering goal that enables numerous applications in the fields of biomedical and law enforcement. By monitoring the conditions of the subject with a dedicated biomarker detection system, the health condition as well as other biomedical parameters of interest can be evaluated in real-time, and further preemptive measures can be taken to improve the safety and chance of survival of the subject. In the pursuit of a better biomarker monitoring system, the ubiquitous and unobtrusiveness of the sensor is proven to be a critical design factor that directly impacts the subject’s safety and the comfort level. The thesis presents the research results obtained for a novel single-port, multi-pole resonant sensor array fabricated on a novel Frame-Flex flexible substrate for a wearable epidermal ethanol sensor system in an attempt to achieve minimal obtrusiveness to the subject under testing. In this system, individual sensors carrying different functional polymers are brought together to share the same electrical input and output, and their resonance behavior along with inter-resonator coupling are captured through a single reflected array response curve (S11). -
Chemometrics: Theory and Application
Chapter 7 Chemometrics: Theory and Application Hilton Túlio Lima dos Santos, André Maurício de Oliveira, Patrícia Gontijo de Melo, Wagner Freitas and Ana Paula Rodrigues de Freitas Additional information is available at the end of the chapter http://dx.doi.org/10.5772/53866 1. Introduction This chapter aims to present a chemometrics as important area in chemistry to be able to help work with many among of data obtained in analysis. The term chemometrics was introduced in initial 70th years by Svant Wold (Swede) and Bruce Kowalski (USA). According International Chemometrics Society, founded in 1974, the accept definition to chemometrics is (i) the chemical discipline that uses mathematical and statistical methods to design or select optimal measurement procedures and experiments (ii) to provide maximum chemical information by analyzing chemical data [1]. When the study involving many variable became the study in a multivariate analysis, so it is necessary to building a typical matrix and is normal to do a pre-processing. Pre-processing is a procedure to adjust the different factors with different units in values than allow give for each factor the same change to contribute to the model. After, next step is usually the Pattern Recognition method, to find any similarity in your data. In This method is common using the unsupervised group where there are the HCA and PCA analysis and the supervised group where there is the KNN. The HCA analysis (Hierarchical Cluster Analysis) is used to examine the distance among the samples in two dimensional plot (dendogram) and cluster samples with similarity. (Figure 1). -
Microarray Study of Temperature Dependent Sensitivity and Selectivity of Metal/Oxide Sensing Interfaces
Microarray study of temperature dependent sensitivity and selectivity of metal/oxide sensing interfaces J. Tiffany, R. E. Cavicchi, S. Semancik National Institute of Standards and Technology Gaithersburg, MD 20899 ABSTRACT Conductometric gas microsensors offer the benefits of ppm-level sensitivity, real-time data, simple interfacing to electronics hardware, and low power consumption. The type of device we have been exploring consists of a sensor film deposited on a "microhotplate"- a 100 micron platform with built-in heating (to activate reactions on the sensing surface) and thermometry. We have been using combinatorial studies of 36-element arrays to characterize the relationship between sensor film composition, operating temperature, and response, as measured by the device's sensitivity and selectivity. Gases that have been tested on these arrays include methanol, ethanol, dichloromethane, propane, methane, acetone, benzene, hydrogen, and carbon monoxide, and are of interest in the management of environmental waste sites. These experiments compare tin oxide films modified by catalyst overlayers, and ultrathin metal seed layers. The seed layers are used as part of a chemical vapor deposition process that uses each array element's microheater to activate the deposition of SnO2, and control its microstructure. Low coverage (2 nm) catalytic metals (Pd, Cu, Cr, In, Au) are deposited on the oxides by masked evaporation or sputtering. This presentation demonstrates the value of an array-based approach for developing film processing methods, measuring performance characteristics, and establishing reproducibility. It also illustrates how temperature-dependent response data for varied metal/oxide compositions can be used to tailor a microsensor array for a given application. -
A Possible Roadmap for NEMS Sensors
A Possible Roadmap for NEMS Sensors Cornel Cobianu and Bogdan Serban Sensors and Wireless Laboratory Bucharest Honeywell Romania SRL October 4-5th , 2011 International Symposium for Advanced Hybrid Nano-Devices Outline • Milestones of Nanotechnology Evolution • From MEMS to NEMS • Top-Down • Bottom-Up • Mixed Top-Down-Bottom-Up • Honeywell contributions • Conclusions 4-5 October 2011 International Symposium on Advanced Hybrid Nano Devices-Tokyo MilestonesMilestones ofof NanotechnologyNanotechnology EvolutionEvolution Visionary scientists : 1959 : Richard Feynman : “There is plenty of room at the bottom” 1965 : Gordon Moore : “IC complexity will double every 12 months” 1974 : Norio Taniguchi: “Nanotechnology” 1986: Eric Drexler : Engines of creation. The Coming Era of Nanotechnology” Governmental plans: 2000+ : USA’s National Nanotechnology Initiative 2011-2020 : 6 EU FET Research flagship Initiatives (ex. “Guardian Angels”) 2011-2015 : Japan :The 4th S&T Basic Plan( 2011-2015): basic research “Bottom-Up-Top-Down”- a synergetic interaction in S&T policy Why nanotechnology is important ? 4-5 October 2011 International Symposium on Advanced Hybrid Nano Devices-Tokyo MegatrandsMegatrands andand NanotechnologyNanotechnology Ageing Population Globalization Health and environment awareness Urbanization (smart-eco city) Network organizing Technology progress- Megatrends- Society Needs -Technology progress ! 4-5 October 2011 International Symposium on Advanced Hybrid Nano Devices-Tokyo NanotechnologyNanotechnology forfor Society’sSociety’s needsneeds Mihail. C. Roco “ US National Nanotechnology Initiative, 2000” and examples from us 1. Passive Nanostructures: GMR sensors Ag nano-ink for bulk applications, CNT in textile Ultradeformable nanomaterial-medicine TiO2, ZnO in sunscreen 2. Active Nanodevices and Circuits: Nanoelectronics era after 2004 3. Complex Nanomachines : Advanced Research! Future Guardian Angel 4. Productive Nanosystems: Basic research ! Future Systems of nanosystems. -
Development of Cross-Reactive Sensors Array: Practical
i DEVELOPMENT OF CROSS-REACTIVE SENSORS ARRAY: PRACTICAL APPROACH FOR ION DETECTION IN AQUEOUS MEDIA Yuanli Liu A Dissertation Submitted to the Graduate College of Bowling Green State University in partial fulfilment of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2012 Committee: Dr. Pavel Anzenbacher, Advisor Dr. Junfeng Shang Graduate Faculty Representative Dr. Peter Lu Dr. Thomas H. Kinstle ii ABSTRACT Dr. Pavel Anzenbacher Jr., Advisor Chemical sensing platforms that can sensitively, rapidly and accurately detect specific chemical species in various operating media are of great importance, especially in complex aqueous environments. Chemical sensor array coupled with chemometrics methods provide an impressive option for high performance chemical sensing. The efforts of this dissertation focus on the application of fluorimetric sensors array in ions detection in complex aqueous media. This dissertation first presents the various signal transduction mechanisms that involve in optical chemosensor design. The sensing elements are created by embedding chemosensors into polymer matrix, then they are arrayed in microtiter plate containing multiple wells. The chemometrics methods used for analyzing the multivariate signal arising from the sensor array are introduced in detail. In the part of practical application of sensors array. The first work aims to detect ions in water by a simple sensors array contains six off-the shelf chemosensors. It turns out that the sensors array is able to recognize cations, anions and ion-pairs with recognition efficiency (6:35) and higher than 93% classification accuracy in water at a wide range of pH (5-9). Such a high discrimination capacity was generally achieved only with structurally complex chemical sensors.