Disposable and Low-Cost Colorimetric Sensors for Environmental Analysis

Alberti, Giancarla; Zanoni, Camilla; Magnaghi, Lisa Rita; Biesuz, Raffaela

doi:10.3390/ijerph17228331

Cited by 50 publications

(16 citation statements)

References 101 publications

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“…Since M13 bacteriophages composed of different amino acid residues are readily producible by genetic engineering, employing an even larger number of odor-response characteristic color sensors (more than the three used in this study) should provide further improvement of sample discriminability. Therefore, we are currently preparing 3 × 3 and 4 × 4 color sensor arrays to detect and identify hazardous in-house gaseous compounds such as formaldehyde, which causes sick building syndrome [ 28 , 29 , 30 , 31 ]. In parallel, an advanced discrimination algorithm able to more effectively handle multi-array RGB data, which are not like conventional visible spectroscopic data, is needed.…”

Section: Discussionmentioning

confidence: 99%

Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products

Seol

Jang

Cha

et al. 2021

Sensors

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A single M13 bacteriophage color sensor was previously utilized for discriminating the geographical origins of agricultural products (garlic, onion, and perilla). The resulting discrimination accuracy was acceptable, ranging from 88.6% to 94.0%. To improve the accuracy further, the use of three separate M13 bacteriophage color sensors containing different amino acid residues providing unique individual color changes (Wild sensor: glutamic acid (E)-glycine (G)-aspartic acid (D), WHW sensor: tryptophan (W)-histidine (H)-tryptophan (W), 4E sensor: four repeating glutamic acids (E)) was proposed. This study was driven by the possibility of enhancing sample discrimination by combining mutually characteristic and complimentary RGB signals obtained from each color sensor, which resulted from dissimilar interactions of sample odors with the employed color sensors. When each color sensor was used individually, the discrimination accuracy based on support vector machine (SVM) ranged from 91.8–94.0%, 88.6–90.3%, and 89.8–92.1% for garlic, onion, and perilla samples, respectively. Accuracy improved to 98.0%, 97.5%, and 97.1%, respectively, by integrating all of the RGB signals acquired from the three color sensors. Therefore, the proposed strategy was effective for improving sample discriminability. To further examine the dissimilar responses of each color sensor to odor molecules, typical odor components in the samples (allyl disulfide, allyl methyl disulfide, and perillaldehyde) were measured using each color sensor, and differences in RGB signals were analyzed.

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Section: Discussionmentioning

confidence: 99%

Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products

Seol

Jang

Cha

et al. 2021

Sensors

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“…[5] Environmental analysis/2020/A brief insight into low-cost and disposable colorimetric sensors. [6] Several/2020/A roadmap to deploy plasmonic sensors is provided. [7] Pesticides/2020/Point-of care biosensors such as colorimetric, fluorescence, chemiluminescence, photoluminescence, surface-enhanced Raman scattering, and electrochemical.…”

Section: Analytes/publication Year/covered Topic Referencementioning

confidence: 99%

Luminol Doped Silica-Polymer Sensor for Portable Organic Amino Nitrogen and Ammonium Determination in Water

2021

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We propose a portable sensor, obtained by embedding luminol into the tetraethylorthosilicate/trietoxymethylsilane (TEOS/MTEOS) composite, for the quantitative determination of organic amino nitrogen and ammonium in water with the goal of achieving low levels of concentration. The method is based on the reaction between amino nitrogen compounds and hypochlorite to produce chloramino derivatives. Then, the remaining hypochlorite reacts with luminol sensor by producing a luminescence signal, which was measured by using a portable luminometer, being inversely proportional to nitrogen concentration. The liberation of the luminol from sensor is higher than 90% and the sensor is stable for at least a week at room temperature. This portable method was successfully validated and applied to the analysis of several real waters: fountain, river transition, lagoon, and seawater with recovery values between 92% and 112%, which indicated that the matrix effect was absent. The achieved limit of detection was around 10 µg·L−1, expressed as N. This sensor allows in situ monitoring owing to its simplicity, rapidity, and portability.

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“…For this purpose, several chromogenic substrates and color labels have been explored, particularly those with high selectivity, sensitivity, low cost and suitable for practical applications. Among them, dye-based and nanoparticles-based sensors have been widely studied [2,3].…”

Section: Introductionmentioning

confidence: 99%

Gold and Silver Nanoparticle-Based Colorimetric Sensors: New Trends and Applications

et al. 2021

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Gold and Silver nanoparticles (AuNPs and AgNPs) are perfect platforms for developing sensing colorimetric devices thanks to their high surface to volume ratio and distinctive optical properties, particularly sensitive to changes in the surrounding environment. These characteristics ensure high sensitivity in colorimetric devices. Au and Ag nanoparticles can be capped with suitable molecules that can act as specific analyte receptors, so highly selective sensors can be obtained. This review aims to highlight the principal strategies developed during the last decade concerning the preparation of Au and Ag nanoparticle-based colorimetric sensors, with particular attention to environmental and health monitoring applications.

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Disposable and Low-Cost Colorimetric Sensors for Environmental Analysis

Cited by 50 publications

References 101 publications

Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products

Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products

Luminol Doped Silica-Polymer Sensor for Portable Organic Amino Nitrogen and Ammonium Determination in Water

Gold and Silver Nanoparticle-Based Colorimetric Sensors: New Trends and Applications

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