Paper-based microfluidic colorimetric sensor on a 3D printed support for quantitative detection of nitrite in aquatic environments

Rajasulochana, P.; Ganesan, Yaswanth; Kumar, P. Senthil; Mahalaxmi, S.; Tasneem, S.; Ponnuchamy, Muthamilselvi; Kapoor, Ashish

doi:10.1016/j.envres.2022.112745

Cited by 21 publications

(12 citation statements)

References 61 publications

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“…9 In our version of the papermicrozone BPB assay, we fabricated the support for the detection substrate by fuse deposition modelling (FDM) 3D printing technology as in previous studies. [17][18][19] We hypothesized, in fact, that FDM 3D printing represents, in the PAD eld, one of the technologies with the best compromise in terms of reliability, affordability and possibility to customize sensors using different printing materials. At variance with previous studies, [17][18][19] we printed our support in TPU, a exible polymer with excellent mechanical and chemical resistance, and a strong interlayer adhesion.…”

Section: Fabrication Of the Support For Paper Microzone Bpb Assaymentioning

confidence: 99%

Paper microzone assay embedded on a 3D printed support for colorimetric quantification of proteins in different biological and food samples

2023

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Section: Fabrication Of the Support For Paper Microzone Bpb Assaymentioning

confidence: 99%

Paper microzone assay embedded on a 3D printed support for colorimetric quantification of proteins in different biological and food samples

2023

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“…Whitesides’ laboratory released the first microfluidic paper-based analytical device (µPAD) in 2007 [ 19 ], which heralded the beginning of the µPAD field of research. Currently, µPADs are extensively used in clinical diagnosis, environmental monitoring, and food analysis [ 98 , 99 , 100 , 101 ]. The Whitesides group has used photo-lithography to accurately create hydrophobic barriers around hydrophilic channels in paper using photo-resistance.…”

Section: Microfluidic Paper-based Analytical Devicesmentioning

confidence: 99%

Paper-Based Fluidic Sensing Platforms for β-Adrenergic Agonist Residue Point-of-Care Testing

et al. 2022

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The illegal use of β-adrenergic agonists during livestock growth poses a threat to public health; the long-term intake of this medication can cause serious physiological side effects and even death. Therefore, rapid detection methods for β-adrenergic agonist residues on-site are required. Traditional detection methods such as liquid chromatography have limitations in terms of expensive instruments and complex operations. In contrast, paper methods are low cost, ubiquitous, and portable, which has led to them becoming the preferred detection method in recent years. Various paper-based fluidic devices have been developed to detect β-adrenergic agonist residues, including lateral flow immunoassays (LFAs) and microfluidic paper-based analytical devices (μPADs). In this review, the application of LFAs for the detection of β-agonists is summarized comprehensively, focusing on the latest advances in novel labeling and detection strategies. The use of μPADs as an analytical platform has attracted interest over the past decade due to their unique advantages and application for detecting β-adrenergic agonists, which are introduced here. Vertical flow immunoassays are also discussed for their shorter assay time and stronger multiplexing capabilities compared with LFAs. Furthermore, the development direction and prospects for the commercialization of paper-based devices are considered, shedding light on the development of point-of-care testing devices for β-adrenergic agonist residue detection.

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“…This work describes a sensory polymer sensitive to nitrite anions, as a colorimetric sensory film (POLYSEN) for the visual detection of nitrite by simply putting it in contact with the food surface for 15 min and then immersing it in a basic solution. Going further to visual detection, color changes registered with a smartphone digital camera are an increasingly proven tool to quantify species of interest, − including nitrite. , However, we have realized that the end user must analyze and often interpret the results. Again, this is a barrier for most citizens, so we have boosted the usability of our nitrite quantification system with the development of an application for Android and iOS “Colorimetric Titration” (freely available from App Store and Google Play), , which automatically autocalibrates the measurement, analyzes the data, and finally outputs a nitrite concentration result to the user.…”

Section: Introductionmentioning

confidence: 99%

Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App

Guembe-García

González-Ceballos

Arnáiz

et al. 2022

ACS Appl. Mater. Interfaces

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We have developed an in situ methodology for determining nitrite concentration in processed meats that can also be used by unskilled personnel. It is based on a colorimetric filmshaped sensory polymer that changes its color upon contacting the meat and a mobile app that automatically calculates the manufacturing and residual nitrite concentration by only taking digital photographs of sensory films and analyzing digital color parameters. The film-shaped polymer sensor detects nitrite anions by an azo-coupling reaction, since they activate this reaction between two of the four monomers that the copolymer is based on. The sensory polymer is complemented with an app, which analyzes the color in two different digital color spaces (RGB and HSV) and performs a set of 32 data fittings representing the concentration of nitrite versus eight different variables, finally providing the nitrite concentration of the test samples using the best fitting curve. The calculated concentration of nitrite correlates with a validated method (ISO 2918(ISO : 1975 usually used to determine nitrite, and no statistically significant difference between these methods and our proposed one has been found in our study (26 meat samples, 8 prepared, and 18 commercial). Our method represents a great advance in terms of analysis time, simplicity, and orientation to use by average citizens.

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Paper-based microfluidic colorimetric sensor on a 3D printed support for quantitative detection of nitrite in aquatic environments

Cited by 21 publications

References 61 publications

Paper microzone assay embedded on a 3D printed support for colorimetric quantification of proteins in different biological and food samples

Paper microzone assay embedded on a 3D printed support for colorimetric quantification of proteins in different biological and food samples

Paper-Based Fluidic Sensing Platforms for β-Adrenergic Agonist Residue Point-of-Care Testing

Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App

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