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Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses
Optical fluorescence and absorption are two of the primary techniques used for analytical microfluidics. We provide a thorough yet tractable method for computing the performance of diverse optical micro-analytical systems. Sample sizes range from nano- to many micro-liters and concentrations from na...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231145/ https://www.ncbi.nlm.nih.gov/pubmed/22163573 http://dx.doi.org/10.3390/s100706730 |
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author | Chang, Chia-Pin Nagel, David J. Zaghloul, Mona E. |
author_facet | Chang, Chia-Pin Nagel, David J. Zaghloul, Mona E. |
author_sort | Chang, Chia-Pin |
collection | PubMed |
description | Optical fluorescence and absorption are two of the primary techniques used for analytical microfluidics. We provide a thorough yet tractable method for computing the performance of diverse optical micro-analytical systems. Sample sizes range from nano- to many micro-liters and concentrations from nano- to milli-molar. Equations are provided to trace quantitatively the flow of the fundamental entities, namely photons and electrons, and the conversion of energy from the source, through optical components, samples and spectral-selective components, to the detectors and beyond. The equations permit facile computations of calibration curves that relate the concentrations or numbers of molecules measured to the absolute signals from the system. This methodology provides the basis for both detailed understanding and improved design of microfluidic optical analytical systems. It saves prototype turn-around time, and is much simpler and faster to use than ray tracing programs. Over two thousand spreadsheet computations were performed during this study. We found that some design variations produce higher signal levels and, for constant noise levels, lower minimum detection limits. Improvements of more than a factor of 1,000 were realized. |
format | Online Article Text |
id | pubmed-3231145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32311452011-12-07 Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses Chang, Chia-Pin Nagel, David J. Zaghloul, Mona E. Sensors (Basel) Article Optical fluorescence and absorption are two of the primary techniques used for analytical microfluidics. We provide a thorough yet tractable method for computing the performance of diverse optical micro-analytical systems. Sample sizes range from nano- to many micro-liters and concentrations from nano- to milli-molar. Equations are provided to trace quantitatively the flow of the fundamental entities, namely photons and electrons, and the conversion of energy from the source, through optical components, samples and spectral-selective components, to the detectors and beyond. The equations permit facile computations of calibration curves that relate the concentrations or numbers of molecules measured to the absolute signals from the system. This methodology provides the basis for both detailed understanding and improved design of microfluidic optical analytical systems. It saves prototype turn-around time, and is much simpler and faster to use than ray tracing programs. Over two thousand spreadsheet computations were performed during this study. We found that some design variations produce higher signal levels and, for constant noise levels, lower minimum detection limits. Improvements of more than a factor of 1,000 were realized. Molecular Diversity Preservation International (MDPI) 2010-07-12 /pmc/articles/PMC3231145/ /pubmed/22163573 http://dx.doi.org/10.3390/s100706730 Text en © 2010 by the authors licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Chang, Chia-Pin Nagel, David J. Zaghloul, Mona E. Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title | Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title_full | Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title_fullStr | Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title_full_unstemmed | Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title_short | Computational Methodology for Absolute Calibration Curves for Microfluidic Optical Analyses |
title_sort | computational methodology for absolute calibration curves for microfluidic optical analyses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231145/ https://www.ncbi.nlm.nih.gov/pubmed/22163573 http://dx.doi.org/10.3390/s100706730 |
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