Quantitative colorimetric-imaging analysis of nickel in iron meteorites

Zamora, Luis Lahuerta; López, P. Alemán; Fos, G.M. Antón; Algarra, R. Martín; Romero, Amparo; Calatayud, J. Martı́nez

doi:10.1016/j.talanta.2010.11.058

Cited by 19 publications

(10 citation statements)

References 31 publications

(32 reference statements)

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“…In line with previous works [54,55], the proposed method uses digital images of series of standard solutions in combination with imaging software (ImageJ) to assign a numerical value for colour intensity. Such a value is proportional to the concentration of the standard and can be used for calibration.…”

Section: Introductionmentioning

confidence: 87%

“…The CVAC technique has been increasingly used in research laboratories and commercial laboratory equipment for more than two decades [26,[28][29][30][31][32][33][34][35][36][37][38][39][40][41]. Lowcost commercial digital cameras and scanners have been gradually incorporated into the analytical laboratory, where they are being increasingly used for forensic [42,43], telemedicine [27,48] and, obviously, analytical purposes [26,44,46,47,49,50,[53][54][55].…”

Section: Introductionmentioning

confidence: 99%

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Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations

Solana-Altabella

Sánchez-Iranzo

Bueso-Bordils

et al. 2018

Talanta

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Two different computer vision-based analytical chemistry (CVAC) methods were developed to quantify iron in the commercial pharmaceutical formulations Ferbisol and Ferro sanol. The methods involve using a digital camera or a desktop scanner to capture a digital image of a series of Fe standard solutions and the unknown sample upon reaction with o-phenanthroline. The images are processed with appropriate software (e.g., the public domain programme ImageJ, from NIH) to obtain a numerical value (analytical signal) based on colour intensity. The fact that such a value is proportional to the analyte concentration allows one to construct a calibration graph from the standards and interpolate the value for the sample in order to determine its concentration. The results thus obtained were compared with those provided by a spectrophotometric method and the US Pharmacopoeia's recommended method. The differences never exceeded 2%. The two proposed methods are simple and inexpensive; also, they provide an effective instrumental alternative to spectrophotometric methods which can be especially beneficial in those cases where purchasing and maintaining a spectrophotometer is unaffordable.

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Section: Introductionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations

Solana-Altabella

Sánchez-Iranzo

Bueso-Bordils

et al. 2018

Talanta

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“…While inexpensive electronic components in consumer products do not approach the quality necessary for use in commercial analytical instrumentation, they have demonstrated usability for optical measurements despite their limitations [2,3]. Reports of the use of digital cameras for chemical analyses, for example, have recently covered such diverse areas as detection of biogenic amines [4], pH [5], water hardness [6,7], nickel in meteorites [8] and alloy composition [9].…”

Section: Introductionmentioning

confidence: 99%

“…The strategy employed in this approach was to relate the desired analytical parameter to one of the red, green or blue (RGB) color channels (or in some cases employment of a greyscale 2 conversion) in order to obtain quantitative information. Reagent mediated analyses have been extensively studied in which digital images describing color development of one-shot sensing spots were evaluated [4,6,8,10]. There has also been work done using digital images of solutions based on their spectral properties [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Classification and quantitative optical analysis of liquid and solid samples using a mobile phone as illumination source and detector

Iqbal

Eriksson

2013

Sensors and Actuators B: Chemical

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A mobile phone has been used both as illumination source and image detector for quantitative optical analysis of colored liquid samples (4 different colorants) and solid samples (printed color patterns, plastic beads and colored sand grains). Even though the measurement conditions were far from ideal, because the light source was strongly polychromatic and the illumination was not a collimated light beam with homogeneous light intensity, a logarithmic concentration dependence, in accordance with the Beer-Lambert law, described the data of the colored liquids quite well. By utilizing blue-blue (420-510 nm), green-green (480-590 nm) and red-red (575-695 nm) illumination/detection combinations, each sample could be assigned a unique color signature for classification that agreed with reference absorbance spectra measured with a spectrometer. Quantification of validation samples within a few percent of the actual values was achieved. Also the long-term repeatability of the measurements was investigated and was surprisingly good for such a simple system. Analysis of the colored solid samples was more complex with results being dependent on the morphology and colorimetric properties of the samples

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“…The method reported in this paper, which is similar to one used in previous work and very recently proposed by one of the authors to quantify analytes absorbing visible light in aqueous solutions [31,32], uses digital images of a series of McFarland standards in combination with appropriate software (IMAGEJ) to assign a numerical value to each colour hue (turbidity). Such a value is directly proportional to the concentration of the McFarland standard concerned and can thus be used for calibration.…”

Section: Introductionmentioning

confidence: 99%

Using digital photography to implement the McFarland method

Pérez‐Gracia

2012

J. R. Soc. Interface.

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The McFarland method allows the concentration of bacterial cells in a liquid medium to be determined by either of two instrumental techniques: turbidimetry or nephelometry. The microbes act by absorbing and scattering incident light, so the absorbance (turbidimetry) or light intensity (nephelometry) measured is directly proportional to their concentration in the medium. In this work, we developed a new analytical imaging method for determining the concentration of bacterial cells in liquid media. Digital images of a series of McFarland standards are used to assign turbidity-based colour values with the aid of dedicated software. Such values are proportional to bacterial concentrations, which allow a calibration curve to be readily constructed. This paper assesses the calibration reproducibility of an intra-laboratory study and compares the turbidimetric and nephelometric results with those provided by the proposed method, which is relatively simple and affordable; in fact, it can be implemented with a digital camera and the public domain software IMAGEJ.

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Quantitative colorimetric-imaging analysis of nickel in iron meteorites

Cited by 19 publications

References 31 publications

Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations

Computer vision-based analytical chemistry applied to determining iron in commercial pharmaceutical formulations

Classification and quantitative optical analysis of liquid and solid samples using a mobile phone as illumination source and detector

Using digital photography to implement the McFarland method

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