Simultaneous color sensing of O2 and pH using a smartphone

Xu, Wei; Lu, Sisi; Chen, Yiying; Zhao, Tingting; Jiang, Yaqi; Wang, Yiru; Chen, Xi

doi:10.1016/j.snb.2015.05.088

Cited by 40 publications

(24 citation statements)

References 29 publications

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“…Recently demonstrated assays have involved incubation and signal development times between one and ve minutes. 29,72,79 These have allowed for better real-time results, particularly when using an excitation light source for more immediate and on-demand uorescent detection as opposed to the time-dependent signal development and decay that occurs with some chemiluminescent reactions.…”

Section: Fluorescence-based Sensorsmentioning

confidence: 99%

“…Work by Sumriddetchkajorn et al, Devadhasan et al, and Xu et al are notable examples of this alternate focus, as they have each explored the use of image-processing algorithms and simple reference points within the imaging background to provide controls similar to those offered by attachments. [27][28][29] In these works, researchers have successfully demonstrated sensitive colorimetric quantication of dissolved O 2 /pH, pH, and chlorine, respectively, without the need for an attached enclosure. However, on the whole most current smartphoneintegrated sensors still rely on such enclosures for smartphoneintegrated colorimetric, uorescence-based, and scatteringbased assays.…”

Section: Smartphone Microscopymentioning

confidence: 99%

“…Recent research has explored these possibilities, but more work is needed to test such methods under rigorous lighting conditions. [27][28][29] Similarly, more research is needed to evaluate differences between individual smartphone platforms. Although smartphone optical hardware is frequently sourced third-party from similar manufacturers, their congurations within the nal smartphone may still differ dramatically, affecting signal measurements.…”

Section: Smartphone Microscopymentioning

confidence: 99%

See 2 more Smart Citations

Recent approaches for optical smartphone sensing in resource-limited settings: a brief review

2016

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Section: Fluorescence-based Sensorsmentioning

confidence: 99%

Section: Smartphone Microscopymentioning

confidence: 99%

Section: Smartphone Microscopymentioning

confidence: 99%

See 1 more Smart Citation

Recent approaches for optical smartphone sensing in resource-limited settings: a brief review

2016

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“…However, the color analysis of an object using distinct cell-phones and Apps leads to disparate results [6]. The popularization of mobile-phones and the improvement of their components allowed the implementation of different colorimetric analysis techniques in several areas such as forensic science [7], biotechnology [8] [9], and life sciences [10]. Colorimeters base on mobile-phone can be classified as: 1) applications with hardware components and 2) standalone devices [11].…”

Section: Introductionmentioning

confidence: 99%

“…Usually, to establish a precise color analysis with standalone mobile-phone devices, calibration procedures are required. To overcome this limitation, the determination of the absolute color value of an object can be overlooked and a relative color value determined [8] [17] [18] [20]. However, in addition to the restrictions regarding the type of ambient lighting, different built-in image systems and acquisition configuration of cell-phones may limit the color analysis accuracy.…”

Section: Introductionmentioning

confidence: 99%

Self-Referencing Method for Relative Color Intensity Analysis Using Mobile-Phone

Souza¹,

Oliveira²,

Oliveira³

et al. 2018

OPJ

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Mobile-phones have been widely explored on colorimetric evaluations. However, their use with different built-in image systems and acquisition configuration, in an environment with non-controlled illumination, limits the establishment of an accurate color analysis. To overcome this restriction, the determination of the absolute color of an object can be overlooked and a relative color value determined. In this work, we establish a new approach for spectroscopic evaluation based on cell-phone imaging, with no previous calibration, determining relative color values. The standalone relative color intensity method is evaluated under the use of four distinct mobile-phones and different illumination conditions. The capability to distinguish different color shades exploring the proposed self-referenced relative color intensity technique is appraised. Moreover, the potential use of the method is demonstrated by evaluating the chemical-adsorption process of Cysteamine molecules on gold nanoparticle surfaces. The proposed self-referenced technique can improve and expand the use of mobile-phones in spectroscopic applications.

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A sensitive and smartphone colorimetric assay for the detection of hydrogen peroxide based on antibacterial and antifungal matcha extract silver nanoparticles enriched with polyphenol

2021

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Current trends in scientific studies focus on the development of smartphone-based biosensors via green nanoparticle for clinical diagnosis, food, and environmental monitoring. In this study, we developed a novel portable smartphone-based biosensor via green dendrimer-coated matcha extract/silver nanoparticles (ME-Ag NPs) enriched with polyphenol for detecting hydrogen peroxide (H 2 O 2 ). Also, we investigated the biological evaluation of the nanostructure as a safe preservative for use in biomedical applications. Ag NPs were prepared using a green sonochemical method and were characterized to determine surface and chemical properties by different techniques such as scanning electron microscopy—energy-dispersive X-ray, transmission electron microscope, Fourier transform infrared spectroscopy, atomic force microscopy, X-ray diffraction, and Brunauer–Emmett–Teller. Furthermore, antimicrobial and antifungal properties of ME-Ag NPs were investigated against pathogenic microorganisms such as Staphylococcus aureus, Pseudomonas aureginosa, Escherichia coli, Candida albicans, and Aspergillus brasiliensis. The experimental sensor methodology was based on the detection of H 2 O 2 by analysis of images of novel silver nanostructure-coated papers and processing of color histograms with a RGB (red–green–blue) analyzer software. Consequently, the smartphone-based biosensor exhibited high sensitivity with detection limits of 0.82 μM response time of 5 s. The smartphone-based biosensor via ME-Ag NPs provided a rapid and selective detection of H 2 O 2 .

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Simultaneous color sensing of O2 and pH using a smartphone

Cited by 40 publications

References 29 publications

Recent approaches for optical smartphone sensing in resource-limited settings: a brief review

Recent approaches for optical smartphone sensing in resource-limited settings: a brief review

Self-Referencing Method for Relative Color Intensity Analysis Using Mobile-Phone

A sensitive and smartphone colorimetric assay for the detection of hydrogen peroxide based on antibacterial and antifungal matcha extract silver nanoparticles enriched with polyphenol

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