Multianalyte imaging in one-shot format sensors for natural waters

Lapresta-Fernández, A.; Huertas, Rafael; Melgosa, Manuel; Capitán-Vallvey, L.F.

doi:10.1016/j.aca.2009.01.044

Cited by 22 publications

(27 citation statements)

References 43 publications

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“…51 With a portable electronic photometer, the CV values range between 1.6 and 2.1%, 49 from 0.4 to 1.8% using scanometric measurements and RGB coordinates, 18 and from 2.3 to 3.7% working with a black and white CCD camera and RGB. 52 The calibration using the H value is obtained directly without the need for any type of normalization. It is not necessary to obtain the H values for the acidic and basic forms of the chromoionophore, thus simplifying the procedure and requiring less time and solutions to calibrate.…”

Section: Rb )mentioning

confidence: 99%

Use of the Hue Parameter of the Hue, Saturation, Value Color Space As a Quantitative Analytical Parameter for Bitonal Optical Sensors

et al. 2009

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The hue or H component of the hue, saturation, value (HSV) color space has been studied as a quantitative analytical parameter for bitonal optical sensors. The robust nature of this parameter provides superior precision for the measurement of sensors which change colors with the speciation of some indicator molecule. This parameter has been compared to red, green, blue (RGB) intensity and RGB absorbance along with differences and ratios of both intensity and absorbance and has been demonstrated to be 2 to 3 times superior. The H value maintains this superior precision with variations in indicator concentration, membrane thickness, detector spectral responsivity, and illumination. Because this parameter is stable, simple to calculate, easily obtained from commercial devices such as scanners and digital cameras, continuous over the entire color gamut, and bound between values of 0 and 1, it shows great promise for use in a variety of sensing applications including imaging, automated analysis, pharmaceutical sensing, lab-on-a-chip devices, and quality control applications.

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Section: Rb )mentioning

confidence: 99%

Use of the Hue Parameter of the Hue, Saturation, Value Color Space As a Quantitative Analytical Parameter for Bitonal Optical Sensors

et al. 2009

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“…The digital image has been widely used in several applications mainly in chemistry (Lyra et al 2009;Maleki et al 2004;Duarte et al 2009;Lapresta-Fernández et al 2009;Godinho et al 2010) and in food quality and safety control (Torrence et al 2004;Borah and Bhuyan 2005;Acevedo et al 2009;Medina et al 2010). Alimelli et al (2007), for instance, has proposed a different method for detection and quantification of total anthocyanins and polyphenols in red wine.…”

Section: Introductionmentioning

confidence: 99%

Scanner Digital Images Combined with Color Parameters: A Case Study to Detect Adulterations in Liquid Cow’s Milk

2011

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This study presents a proposition of a low-cost screening method for detection and quantification of adulterations in liquid cow's milk samples. The studied adulterations were made with water and NaOH. Digital images from the adulterated samples were obtained using a flatbed scanner, and the means of ten color parameters were used to evaluate the information from images: red, green, blue, hue, saturation, value, relative colors (r, g, and b), and intensity. Regression models for water quantification were proposed using multiple linear regression (MLR), principal components regression (PCR), and partial least squares (PLS). The best models were obtained using PCR and PLS, with root mean square error for prediction smaller than 7%. These results were compared with near-infrared (NIR), and the prediction capability was very similar. In the case of adulterations with NaOH, the colors B, S, g, and b presented the highest differences between fresh and adulterated milk samples.

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“…Fernandez-Ramos et al, found a similar behavior when developing a photometric sensor for nitrates [69]. By the way, this is a common behavior of chemical, optical [70][71][72] and electrochemical sensors [73][74][75][76][77]. The LOD was calculated using the following equation:…”

Section: Electrochemical Tests: Optimization and Calibrationmentioning

confidence: 88%

Copper nanowire array as highly selective electrochemical sensor of nitrate ions in water

Patella

Russo

O’Riordan

et al. 2021

Talanta

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Contamination of water with nitrate ions is a significant problem that affects many areas of the world. The danger from nitrates is not so much their toxicity, rather low, as their transformation into nitrites and in particular into nitrosamines, substances considered to be a possible carcinogenic risk. For this reason, European legislation has set the maximum permissible concentration of nitrates in drinking water at 44 mg/l. Thus, it is clear that a continuous monitoring of nitrate ions is of high technological interest but it must be rapid, easy to perform and directly performable in situ. Electrochemical detection is certainly among the best techniques to obtain the above requirements. In particular, in this work we have developed a nanostructured sensor based on array of copper nanowires obtained with the simple method of galvanic deposition. The nanostructured sensors have a very short response time with a detection limit less than 10 M. Different interfering species were tested finding a negligible effect except for the chlorine ions. However, this problem has been solved by removing chlorine ions from the water through a simple precipitation of chloride compounds with low solubility. Nanostructured sensors were also used to analyze real water samples (rain, river and drinking water). In the case of drinking water, we have measured a concentration of nitrate ions very close to the that measured by conventional laboratory techniques.

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Multianalyte imaging in one-shot format sensors for natural waters

Cited by 22 publications

References 43 publications

Use of the Hue Parameter of the Hue, Saturation, Value Color Space As a Quantitative Analytical Parameter for Bitonal Optical Sensors

Use of the Hue Parameter of the Hue, Saturation, Value Color Space As a Quantitative Analytical Parameter for Bitonal Optical Sensors

Scanner Digital Images Combined with Color Parameters: A Case Study to Detect Adulterations in Liquid Cow’s Milk

Copper nanowire array as highly selective electrochemical sensor of nitrate ions in water

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