Relevant bibliographies by topics / Colorimetric analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Colorimetric analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Colorimetric analysis"

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Xu, Ning, Shuang Jin, and Li Wang. "Metal nanoparticles-based nanoplatforms for colorimetric sensing: A review." Reviews in Analytical Chemistry 40, no. 1 (January 1, 2020): 1–11. http://dx.doi.org/10.1515/revac-2021-0122.

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Abstract With the progress of analysis technology and nanotechnology, colorimetric detection has become one of the research hotspots in the field of analytical chemistry. Compared with traditional detection methods, the colorimetric method has many advantages, such as high sensitivity, good selectivity, convenience and fast, as well as low cost. In recent years, metal nanoparticles have been introduced into colorimetry, making the research and application of colorimetry develop rapidly. In this work, we summarize the usual colorimetric detection methods based on metal nanoparticles-based nanozymes and their applications in the last five years. We hope that this work will help readers understand the mechanism and practical application value of nanozyme-based colorimetric biosensors. Meanwhile, this work may give some hints and references for future colorimetric detection research to promote the application and development of nanozyme-based colorimetry in biomedical and environmental analysis.
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Yefymenko, Serhii, Ihor Hryhorenko, Iurii Khoroshailo, and Svitlana Hryhorenko. "Applying covariance analysis to determine the factor influence on the control parameter in colorimetric study." Ukrainian Metrological Journal, no. 3 (September 30, 2022): 49–55. http://dx.doi.org/10.24027/2306-7039.3.2022.269783.

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The paper considers solutions to a scientific and practical problem of applying covariance analysis to determine the factor influence on the functional transformation of the control parameter in colorimetric study. The study implies determining the factor influence on the additive and multiplicative components of the measurement error of the colorimetric control parameter to assess the validity of conclusions about the factor influence on the transformation of the control parameter. The limitations on the number of basic levels (control parameters) and the factors influencing the result of colorimetric control are determined. During the study, the equations to assess the validity of statistical conclusions about the informational significance of the colorimetric control indicators for a simplified model of cross-classification were obtained. The need for the study is due to the fact that in colorimetric control of cereal grains, the measurement uncertainty of the results of measuring the values of the controlled indicators at given levels of the control parameter is quite high. In modern industry, colorimetry has a number of advantages over other methods, such as weight analysis. Colorimetric determinations are performed much faster. In the case of weight analysis, the chemical reaction is at the beginning of the determination followed by a series of long operations, while in the case of colorimetry, the colors are compared immediately after the chemical reaction. Therefore, the colorimetric method belongs to the methods of express control. The main task of colorimetric express control (in our case) is to determine the quality of cereal grains. The task is important and relevant because grain, namely flour, is the main ingredient of many foods, e.g. bread, pasta, pastries, and cookies. Quality products can be obtained only from quality raw materials. Thus, at present time, it is relevant to determine the quality of cereal grains, and flour as the derived product, in Ukraine.
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AMELIN, VASILY G., SHOGAH ZEN ALABDEN CHALAWI, and DMITRY S. BOLSHAKOV. "IDENTIFICATION AND AUTHENTICATION OF COW’S MILK POWDER USING A SMARTPHONE AND CHEMOMETRIC ANALYSIS." Lomonosov chemistry journal 64, no. 1, 2023 (June 1, 2023): 49–59. http://dx.doi.org/10.55959/msu0579-9384-2-2023-64-1-49-59.

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The possibility of identi cation and authentication of cow’s milk powder by the method of chemical colorimetry of the samples’ own uorescence using a smartphone camera and chemometric analysis is shown. A fundamental test device for direct colorimetric analysis of powdered milk is proposed, excluding the stage of sample preparation. Fluorescence excitation was carried out with a portable source of monochromatic UV radiation (λ = 365 nm). Colorimetric parameters of powdered milk uorescence in RGB space were recorded using a smartphone camera. We used chemometric processing of the calculated analytical signal, which made it possible to reduce the analysis time and visualize the study data. The evaluation of the data array of uorescence colorimetric parameters (RGB) was carried out by principal component analysis (PCA) and hierarchical clustering analysis (HCA) using the XLSTAT software.
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Vucāne, Sanita, Ingmars Cinkmanis, and Mārtiņš Šabovics. "Colorimetric Measurements of Vegetable Oils by Smartphone-Based Image Analysis." Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 76, no. 1 (February 1, 2022): 110–15. http://dx.doi.org/10.2478/prolas-2022-0017.

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Abstract One of the most important indicators of quality of vegetable oils is colour, which can be detected with colorimetric measurements. The determination of colour is traditionally done using colorimeters, spectrometers, tintometers, and other analytical equipment. As an alternative to replace the classical analytical methods, smartphone-based colorimetry using digital image analysis can be used. For colorimetric detection of colour in vegetable oils, a Huawei P30 lite smartphone and android application “Colour Picker” with an image matching algorithm RGB model was used. The image of sample and standard solutions was captured in a polyvinyl chloride box with light-emitting diode (LED) lamps. The aim of the study was to detect the colour of vegetable oils with smartphone-based image analysis. The detected colour of eleven vegetable oils (sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive, and milk thistle oils) was compared with standard solutions of iodine with a concentration range from 0 to 100 mg·100 ml−1. The results show that smartphone-based colorimetry can be used for detection of the colour of vegetable oils and it is possible to compare the colour with standard solutions of iodine. The colour of vegetable oils was expressed as the colour number obtained from an iodine standard solution prepared in deionised water.
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Majdinasab, Marjan, Sondes Ben Aissa, and Jean Louis Marty. "Advances in Colorimetric Strategies for Mycotoxins Detection: Toward Rapid Industrial Monitoring." Toxins 13, no. 1 (December 24, 2020): 13. http://dx.doi.org/10.3390/toxins13010013.

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Mycotoxins contamination is a global public health concern. Therefore, highly sensitive and selective techniques are needed for their on-site monitoring. Several approaches are conceivable for mycotoxins analysis, among which colorimetric methods are the most attractive for commercialization purposes thanks to their visual read-out, easy operation, cost-effectiveness, and rapid response. This review covers the latest achievements in the last five years for the development of colorimetric methods specific to mycotoxins analysis, with a particular emphasis on their potential for large-scale applications in food industries. Gathering all types of (bio)receptors, main colorimetric methods are critically discussed, including enzyme-linked assays, lateral flow-assays, microfluidic devices, and homogenous in-solution strategies. This special focus on colorimetry as a versatile transduction method for mycotoxins analysis is comprehensively reviewed for the first time.
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Yefymenko, Serhii, Ihor Hryhorenko, and Svitlana Hryhorenko. "Dispersion analysis in colorimetric control." Ukrainian Metrological Journal, no. 2 (July 5, 2023): 28–32. http://dx.doi.org/10.24027/2306-7039.2.2023.286715.

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In the paper, solutions to the scientific and practical task of applying covariance analysis to determine the factor influence on the functional transformation of the control parameter in colorimetric research are considered. The research involves determining the factor influence on the additive and multiplicative components of the measurement error of the colorimetric control parameter to assess the reliability of conclusions about the factor influence on the transformation of the control parameter. Limits on the amount of the main level (control parameter) and factors affecting the result of colorimetric control are determined. During the study, the equations to assess the reliability of statistical conclusions about the informational significance of indicators of colorimetric control for a simplified model of cross-classification were obtained. The need to carry out the research is related to the fact that during colorimetric control of grain crops, the uncertainty of the measurement results of the values of the controlled indicators is large enough, and so it must be evaluated. However, the proposed approach is not limited to a few colorimetric controls, but can be extended to a wider range of problems, where it is necessary to consider the factor influence with further ranking of factors by levels of significance.
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Dyaninggar, Pratyangga Surya, Sri Juari Santosa, and Bambang Rusdiarso. "Preliminary Research on the Analysis of Chromium(III) Based on Digital Image Processing Method Utilizing Gold Nanoparticles as Colorimetric Sensor." Nano Hybrids and Composites 37 (August 31, 2022): 15–22. http://dx.doi.org/10.4028/p-t3ga7q.

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Gold nanoparticles (AuNPs) have been successfully synthesized using L-Ascorbic Acid as a reducing agent and p-Aminobenzoic Acid as a capping agent. These AuNPs were used to detect and quantify Chromium(III) as a pollutant utilizing its unique characteristic called surface plasmon resonance (SPR). The change of SPR and color of AuNPs then was employed to determine the concentration of Cr(III) by using colorimetric and Digital Image Colorimetric methods. Digital Image Colorimetry allowed to development of an easier and cheaper way to detect and quantify Cr(III). AuNPs capped p-aminobenzoic acid (AuNPs-PABA) were synthesized at room temperature without using any heating method. Then synthesized AuNPs-PABA were characterized using UV-Visible spectrometer and Transmission Electron Microscope. This AuNPs-PABA then got contacted to Cr(III) and color-changing happened in AuNPs-PABA was analyzed using UV-Vis Spectrometer and captured for Digital Image Colorimetric. The result showed that Digital Image Colorimetric method has a very big potential to be developed for AuNPs-based detection and quantification of Cr(III) as confirmed by good linearity of AuNPs-PABA-Cr(III) respect with Difference Intensity of Red Color Component, wider dynamic range, and Lower Limit of Detection (LoD).
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Smykalova, I., O. Grillo, M. Bjelkova, M. Hybl, and G. Venora. "Morpho-colorimetric traits of Pisum seeds measured by an image analysis system." Seed Science and Technology 39, no. 3 (October 1, 2011): 612–26. http://dx.doi.org/10.15258/sst.2011.39.3.08.

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Zhbanova, Vera L. "Features Of Digital Colourimetry Application in Modern Scientific Research." Issue 03-2021, no. 03-2021 (June 2021): 146–58. http://dx.doi.org/10.33383/2021-028.

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The paper is devoted to digital colorimetry, has a character of review, and deals with the main issues of colorimetric calculations and transformations during digital colour registration. The presented materials are intended to help researchers already at the stage of registration to exclude colour losses and, accordingly, errors of measurements, taking into account the following features: – The connection of colorimetric measurements with digital circuit design is shown, which results in digital colorimetry as a tool for acquiring and processing accurate colour information about the object of study; – Important issues such as: selection criteria for parameters of photodetector arrays, colour separation systems, working colour spaces, formats of colour images, and post-processing methods for colour information of images; – Colour separation systems of photodetector arrays, their advantages and disadvantages, influence on the registration result and prospects of new developments in this field are described; – Working colour spaces of digital recording systems, and also colour systems are considered allowing maximum saving colour parameters of digital impression; – To understand human colour perception, the problem of hardware-independent reproduction of colour and images after image registration is considered; – It is proposed to use such colorimetric systems in the analysis of colour parameters in scientific studies, which give understanding of human image perception in the analysis of image quality. The paper gives a broad overview of the digital colorimetry main aspects and researches on this topic for specialists who use digital colour recorders as a tool in their experimental research. This material can also be useful for specialists with deep knowledge in colorimetry who use digital colour recorders as part of their main tasks in the definite field of science and technology.
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Layne, Tiffany R., Anchi Scott, Larissa L. Cunha, Rachelle Turiello, and James P. Landers. "Three-Dimensional-Printed Instrument for Isothermal Nucleic Acid Amplification with Real-Time Colorimetric Imaging." Micromachines 15, no. 2 (February 14, 2024): 271. http://dx.doi.org/10.3390/mi15020271.

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Isothermal amplification methods have become popular in research due to the simplicity of the technology needed to run the reactions. Specifically, loop-mediated isothermal amplification (LAMP) has been widely used for various applications since first reported in 2000. LAMP reactions are commonly monitored with the use of colorimetry. Although color changes associated with positive amplification are apparent to the naked eye, this detection method is subjective due to inherent differences in visual perception from person to person. The objectivity of the colorimetric detection method may be improved by programmed image capture over time with simultaneous heating. As such, the development of a novel, one-step, automated, and integrated analysis system capable of performing these tasks in parallel is detailed herein. The device is adaptable to multiple colorimetric dyes, cost-effective, 3D-printed for single-temperature convective heating, and features an easy-to-use LabVIEW software program developed for automated image analysis. The device was optimized and subsequently validated using four messenger-RNA targets and mock forensic samples. The performance of our device was determined to be comparable to that of a conventional thermal cycler and smartphone image analysis, respectively. Moreover, the outlined system is capable of objective colorimetric analysis, with exceptional throughput of up to 96 samples at once.
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Dissertations / Theses on the topic "Colorimetric analysis"

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Shen, Shizhe. "Color difference formula and uniform color space modeling and evaluation /." Online version of thesis, 2009. http://hdl.handle.net/1850/11356.

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Xue, Yang. "Uniform color spaces based on CIECAM02 and IPT color difference equations /." Online version of thesis, 2008. http://hdl.handle.net/1850/8424.

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Stokes, Mike. "Colorimetric tolerances of digital images /." Online version of thesis, 1991. http://hdl.handle.net/1850/10896.

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Snyder, Gregory D. "Visual determination of industrial color-difference tolerances using probit analysis /." Online version of thesis, 1991. http://hdl.handle.net/1850/10870.

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Harris, Lawrence David. "A comparison of paper whiteness rankings : visual vs. instrument generated /." Online version of thesis, 1993. http://hdl.handle.net/1850/11730.

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Nyström, Daniel. "Colorimetric and Multispectral Image Acquisition." Licentiate thesis, Linköping University, Linköping University, Department of Science and Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8866.

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The trichromatic principle of representing color has for a long time been dominating in color imaging. The reason is the trichromatic nature of human color vision, but as the characteristics of typical color imaging devices are different from those of human eyes, there is a need to go beyond the trichromatic approach. The interest for multi-channel imaging, i.e. increasing the number of color channels, has made it an active research topic with a substantial potential of application.

To achieve consistent color imaging, one needs to map the imaging-device data to the device-independent colorimetric representations CIEXYZ or CIELAB, the key concept of color management. As the color coordinates depend not only on the reflective spectrum of the object but also on the spectral properties of the illuminant, the colorimetric representation suffers from metamerism, i.e. objects of the same color under a specific illumination may appear different when they are illuminated by other light sources. Furthermore, when the sensitivities of the imaging device differ from the CIE color matching functions, two spectra that appear different for human observers may result in identical device response. On contrary, in multispectral imaging, color is represented by the object’s physical characteristics namely the spectrum which is illuminant independent. With multispectral imaging, different spectra are readily distinguishable, no matter they are metameric or not. The spectrum can then be transformed to any color space and be rendered under any illumination.

The focus of the thesis is high quality image-acquisition in colorimetric and multispectral formats. The image acquisition system used is an experimental system with great flexibility in illumination and image acquisition setup. Besides the conventional trichromatic RGB filters, the system also provides the possibility of acquiring multi-channel images, using 7 narrowband filters. A thorough calibration and characterization of all the components involved in the image acquisition system is carried out. The spectral sensitivity of the CCD camera, which can not be derived by direct measurements, is estimated using least squares regression, optimizing the camera response to measured spectral reflectance of carefully selected color samples.

To derive mappings to colorimetric and multispectral representations, two conceptually different approaches are used. In the model-based approach, the physical model describing the image acquisition process is inverted, to reconstruct spectral reflectance from the recorded device response. In the empirical approach, the characteristics of the individual components are ignored, and the functions are derived by relating the device response for a set of test colors to the corresponding colorimetric and spectral measurements, using linear and polynomial least squares regression.

The results indicate that for trichromatic imaging, accurate colorimetric mappings can be derived by the empirical approach, using polynomial regression to CIEXYZ and CIELAB. Because of the media-dependency, the characterization functions should be derived for each combination of media and colorants. However, accurate spectral data reconstruction requires for multi-channel imaging, using the model-based approach. Moreover, the model-based approach is general, since it is based on the spectral characteristics of the image acquisition system, rather than the characteristics of a set of color samples.


Report code: LiU-TEK-LIC- 2006:70
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Balonon-Rosen, Mitchell. "An uncertainty analysis of a color tolerance database /." Online version of thesis, 1993. http://hdl.handle.net/1850/11066.

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Nyström, Daniel. "High Resolution Analysis of Halftone Prints : A Colorimetric and Multispectral Study." Doctoral thesis, Linköpings universitet, Digitala Medier, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15888.

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To reproduce color images in print, the continuous tone image is first transformed into a binary halftone image, producing various colors by discrete dots with varying area coverage. In halftone prints on paper, physical and optical dot gains generally occur, making the print look darker than expected, and making the modeling of halftone color reproduction a challenge. Most available models are based on macroscopic color measurements, averaging the reflectance over an area that is large in relation to the halftone dots. The aim of this study is to go beyond the macroscopic approach, and study halftone color reproduction on a micro-scale level, using high resolution images of halftone prints. An experimental imaging system, combining the accuracy of color measurement instruments with a high spatial resolution, opens up new possibilities to study and analyze halftone color prints. The experimental image acquisition offers a great flexibility in the image acquisition setup. Besides trichromatic RGB filters, the system is also equipped with a set of 7 narrowband filters, for multi-channel images. A thorough calibration and characterization of all the components in the imaging system is described. The spectral sensitivity of the CCD camera, which can not be derived by direct measurements, is estimated using least squares regression. To reconstruct spectral reflectance and colorimetric values from the device response, two conceptually different approaches are used. In the model-based characterization, the physical model describing the image acquisition process is inverted, to reconstruct spectral reflectance from the recorded device response. In the empirical characterization, the characteristics of the individual components are ignored, and the functions are derived by relating the device response for a set of test colors to the corresponding colorimetric and spectral measurements, using linear and polynomial least squares regression techniques. Micro-scale images, referring to images whose resolution is high in relation to the resolution of the halftone, allow for measurements of the individual halftone dots, as well as the paper between them. To capture the characteristics of large populations of halftone dots, reflectance histograms are computed as well as 3D histograms in CIEXYZ color space. The micro-scale measurements reveal that the reflectance for the halftone dots, as well as the paper between the dots, is not constant, but varies with the dot area coverage. By incorporating the varying micro-reflectance in an expanded Murray-Davies model, the nonlinearity caused by optical dot gain can be accounted for without applying the nonphysical exponentiation of the reflectance values, as in the commonly used Yule-Nielsen model. Due to their different intrinsic nature, physical and optical dot gains need to be treated separately when modeling the outcome of halftone prints. However, in measurements of reflection colors, physical and optical dot gains always co-exist, making the separation a difficult task. Different methods to separate the physical and optical dot gain are evaluated, using spectral reflectance measurements, transmission scans and micro-scale images. Further, the relation between the physical dot gain and the halftone dot size is investigated, demonstrated with FM halftones of various print resolutions. The physical dot gain exhibits a clear correlation with the dot size and the dot gain increase is proportional to the increase in print resolution. The experimental observations are followed by discussions and a theoretical explanation.
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Nyström, Daniel. "High resolution analysis of halftone prints : a colorimetric and multispectral study /." Norrköping : Department of Science and Technology, Linköping University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15888.

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Pelletreau, Karen Nicole. "The application of molecular tools towards the study of brown algal chemical ecology and the production of phlorotannins." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 230 p, 2008. http://proquest.umi.com/pqdweb?did=1601234901&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Books on the topic "Colorimetric analysis"

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Paul, Gabbott, ed. Applications of thermal analysis. Ames, Iowa: Blackwell Pub., 2007.

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United States. National Aeronautics and Space Administration., ed. Colorimetric qualification of shear sensitive liquid crystal coatings. San Jose, CA: MCAT Institute, 1993.

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United States. National Aeronautics and Space Administration., ed. Colorimetric qualification of shear sensitive liquid crystal coatings. San Jose, CA: MCAT Institute, 1993.

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Gabbott, Paul. Principles and applications of thermal analysis. Oxford: Blackwell Pub., 2008.

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Antweiler, Ronald C. Automated, colorimetric methods for determination of nitrate plus nitrite, nitrite, ammonium and orthophosphate ions in natural water samples. Denver, Colo: U.S. Geological Survey, 1996.

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Acker, James G. The heritage of SeaWiFS: A retrospective on the CZCS NIMBUS Experiment Team (NET) Program. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1994.

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McGrogan, Hugh J. The application of a microcomputer to the control and logging of results in colorimetric chemical analysis. [S.l: The Author], 1993.

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National Institute of Standards and Technology (U.S.). Office of Law Enforcement Standards. and National Institute of Justice (U.S.). Office of Science and Technology., eds. Color test reagents/kits for preliminary identification of drugs of abuse. Washington, DC: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 2000.

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Occupational Medicine and Hygiene Laboratory. Mercury vapour in air: A method using diffusive samplers, qualitative on-site colorimetric analysis and quantitative cold vapour atomic absorption spectrometry in the laboratory. [Bootle]: Health and Safety Executive, 1987.

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Patton, Charles J. Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory: Determination of the total phosphorus by a Kjeldahl digestion method and an automated colorimetric finish that includes dialysis. Denver, Colo: U.S. Geological Survey, 1992.

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Book chapters on the topic "Colorimetric analysis"

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Patnaik, Pradyot. "Colorimetric Analysis." In Handbook of Environmental Analysis, 63–66. Third edition. | Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315151946-7.

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Moorthy, Jaisree, and David J. Beebe. "Autonomous Colorimetric Readout for Microfluidic Devices." In Micro Total Analysis Systems 2001, 173–74. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-1015-3_74.

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Suaifan, G. A. R. Y. "CHAPTER 8. Colorimetric Biosensors for Bacterial Detection." In Food Chemistry, Function and Analysis, 182–202. Cambridge: Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/9781782623908-00182.

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Guder, Hans-Joachim, Dieter Heindl, and Hans-Peter Josel. "Overview of Colorimetric, Chemiluminometric, and Fluorimetric Detection Systems." In Nonradioactive Analysis of Biomolecules, 240–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57206-7_15.

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Golubov, Andrey, and Igor Kovalchuk. "Analysis of DNA Hydroxymethylation Using Colorimetric Assay." In Plant Epigenetics, 89–97. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7708-3_8.

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Gallagher, Rosa I., Alessandra Silvestri, Emanuel F. Petricoin, Lance A. Liotta, and Virginia Espina. "Reverse Phase Protein Microarrays: Fluorometric and Colorimetric Detection." In Protein Microarray for Disease Analysis, 275–301. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-043-0_18.

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El Merabet, Youssef, Cyril Meurie, Yassine Ruichek, Abderrahmane Sbihi, and Rajaa Touahni. "Orthophotoplan Segmentation and Colorimetric Invariants for Roof Detection." In Image Analysis and Processing – ICIAP 2011, 394–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24088-1_41.

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Ying, Jean Liew Zhi, Lee Hoon Lim, Aminul Huq Mirza, Norhayati Ahmad, Ibrahim Abd Rahman, and Minhaz Uddin Ahmed. "CHAPTER 5. Bionanotechnology-Based Colorimetric Sensors for Food Analysis." In Food Chemistry, Function and Analysis, 104–30. Cambridge: Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/9781782623908-00104.

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Nilghaz, Azadeh, Evan Trofimchuk, and Xiaonan Lu. "Chapter 5. Colorimetric-based Sensing in Food Safety and Quality Analysis." In Food Chemistry, Function and Analysis, 121–40. Cambridge: Royal Society of Chemistry, 2017. http://dx.doi.org/10.1039/9781788010528-00121.

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Bakutkin, Valery V., Ilya V. Bakutkin, Yuriy N. Zayko, and Vladimir A. Zelenov. "Colorimetric Analysis of Images Based on Objective Color Data." In Advances in Intelligent Systems and Computing, 441–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55190-2_33.

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Conference papers on the topic "Colorimetric analysis"

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Ibanez-Porras, Maritza, and J. Carranza Gallardo. "Analysis of the standard colorimetric observer." In IV Iberoamerican Meeting of Optics and the VII Latin American Meeting of Optics, Lasers and Their Applications, edited by Vera L. Brudny, Silvia A. Ledesma, and Mario C. Marconi. SPIE, 2001. http://dx.doi.org/10.1117/12.437112.

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Garg, Sanyam, R. S. Ramprasaath, Suman Kapur, and Kunda M. M. Rao. "Automated colorimetric analysis in paper based sensors." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025732.

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Reed, Cassandra L., Shree G. Sharma, Sandra P. Prieto, and Timothy J. Muldoon. "Quantitative Analysis of Renal Fibrosis Using a Colorimetric System." In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2018. http://dx.doi.org/10.1109/mipr.2018.00040.

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Boisier, Bertrand, Alamin Mansouri, Pierre Gouton, and Philippe Trollat. "Spectrophotometric and colorimetric analysis of wine for nuances reproduction." In IS&T/SPIE Electronic Imaging, edited by Reiner Eschbach, Gabriel G. Marcu, Shoji Tominaga, and Alessandro Rizzi. SPIE, 2010. http://dx.doi.org/10.1117/12.840207.

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Jing, Xu, Ho-seok Choi, Ji-In Park, and Young-Pil Kim. "Analysis of antifreeze protein activity using colorimetric gold nanosensors." In International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, edited by Donghyun Kim, Min-Gon Kim, and Seung-Han Park. SPIE, 2015. http://dx.doi.org/10.1117/12.2189039.

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Ning, Zhiyao, Xuejin Li, and Yuzhi Chen. "Sweat sugar detection sensor based on image colorimetric analysis." In Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), edited by Ming Chen and Gangmin Ning. SPIE, 2023. http://dx.doi.org/10.1117/12.2687523.

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Vucane, Sanita, Martins Sabovics, Lauris Leitans, and Ingmars Cinkmanis. "Smartphone-based colorimetric determination of DPPH free radical scavenging activity in vegetable oils." In Research for Rural Development 2020. Latvia University of Life Sciences and Technologies, 2020. http://dx.doi.org/10.22616/rrd.26.2020.016.

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Abstract:
Free radicals can rapidly and irreversibly oxidize various structures, including unsaturated fatty acids in vegetable oils, which affect the sensory properties. Spectrophotometry is the most widely used method for the determination of free radical scavenging activity (RSA) using 2,2-diphenyl-1-picrylhydrazyl (DPPH). Barrier to the further use of classical analytical methods to analyze biologically active compounds in foodstuffs is that equipment requires high cost and has limited mobility. One of solutions is to replace classical methods, such as spectroscopy, with smartphonebased colorimetry. Huawei P30 Lite smartphone was used for colorimetric detection. The free radical scavenging activity (RSA) in vegetable oil was detected using an application ‘Color Picker’, with image matching algorithm for red, green, and blue (RGB) model. RSA was expressed as percentage and measured by the DPPH method. The aim of the study was to determinate the total free radical scavenging activity with smartphone-based colorimetry. For the data comparison and accuracy spectrophotometer as analytical optical instrument was used. Eleven vegetable oils: sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive and milk thistle oils were selected for analysis. The best results with no significant differences (p>0.05) compared to smartphone-based colorimetry from spectrophotometry were determined using RG values. The poor results were detected by using B value (p<0.05) and were not suitable for determination of RSA. Smartphone-based colorimetry can be used in the determination of the RSA in vegetable oils.
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Novak, Pavel, Jiri Novak, and Antonin Miks. "Phase evaluation using interference of polychromatic light and colorimetric analysis." In Optical Metrology, edited by Wolfgang Osten, Christophe Gorecki, and Erik L. Novak. SPIE, 2005. http://dx.doi.org/10.1117/12.612016.

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Chandran, Jaideep, Alex Stojcevski, Aladin Zayegh, and Thinh Nguyen. "Implementation of a colorimetric algorithm for portable blood gas analysis." In 2010 International Conference on Microelectronics (ICM). IEEE, 2010. http://dx.doi.org/10.1109/icm.2010.5696175.

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He, Yong, Kai Dong, Yongheng Hu, and Tao Dong. "Colorimetric recognition for urinalysis dipsticks based on quadratic discriminant analysis." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037709.

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