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Hydrogen peroxide (H 2 O 2 ) is extensively used in water treatment and food preservation for its pathogen-killing efficacy. Excessive H 2 O 2 intake, however, can lead to poisoning with symptoms such as abdominal pain and breathing difficulties. Additionally, small amounts of H 2 O 2 may be generated during food preservation, necessitating careful control to meet safety regulations. Real-time detection of H 2 O 2 is crucial for process safety and compliance. In this study, a Zr-MOF-based colorimetric fluorescent nanozyme sensor (NH 2 -UiO-67(Zr/Cu)) along with a smartphone-assisted portable device were developed for detecting H 2 O 2 . The sensor, NH 2 -UiO-67(Zr/Cu), combines the stable structural properties of Zr-MOF with ligand-generated fluorescence and exhibits peroxidase-like activity. The sensor demonstrated a detection range of 0-1000 μM, with limits of detection (LOD) of 0.0057 μM for the colorimetric assay and 0.0020 μM for the fluorescence assay. Additionally, we designed and developed a portable, smartphone-assisted device using 3D printing technology. This device offers a detection range of 0-750 μM, with LODs of 0.0093 μM in colorimetric mode and 0.0311 μM in fluorescence mode. The developed colorimetric fluorescent nanozyme sensor and portable device show significant potential for the rapid on-site detection of H 2 O 2 , offering a more convenient and reliable approach for quick identification of analytes in practical applications., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Naked-eye semi-quantitative (NEQ) assays should exhibit vivid color variations and one-to-one correspondence between the analyte concentrations and the color display. Herein, we report a bisubstrate multi-colorimetric system, constituted by 3,3',5,5'-tetramethylbenzidine (TMB) and dopamine (DA), which carries out a controllable NEQ assay based on the complementary colorharmonic principle. This bisubstrate system is a universal threshold NEQ assay with tunable sensitivity and detection window depending on the H 2 O 2 concentration. The peroxidase-like activity of PEG@Fe 3 O 4 NPs was used to catalyze the oxidations of TMB and DA by H 2 O 2 to the colored products. On the basis of UV-vis spectra data, it was speculated that the oxidation product of TMB (TMB ·+ ) could oxidize DA in this system. The concentration of DA controls the consumption of oxidant (H 2 O 2 ) and the oxidation of TMB. By controlling the molar ratio of TMB to DA, the bisubstrate system precisely showed multicolor displays (e.g., three-color display: orange, gray, and blue) at submillimolar and millimolar concentrations of H 2 O 2 . The detection limit and sensitivity for H 2 O 2 were 0.4 mM and 0.1 mM, respectively. Next, the system was applied to the threshold detection of hypoglycemia (orange), normal (gray), and hyperglycemia (blue) in spiked samples on both gel- and paper-based test strips. Digitalized colorimetric results using the red-green-blue (RGB) analysis with smartphone application were achieved. This work provides a new strategy of multi-colorimetric assay that takes advantages of controllability, threshold detection, vivid color variations, and reproducibility (CVs were 1.1-2.1%), which could be potentially useful for in-field and point-of-care applications., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)

As per the WHO reports, it has been estimated that almost 25% of food crops contain mycotoxins as the major contaminant. In this work, we developed a paper-based colorimetric lateral flow device (CLFD) impregnated with an organic cation receptor (OCR) for sensitive and selective detection of zearalenone (ZEN). Various techniques such as ultraviolet (UV)-visible absorption, cyclic voltammetry, and fluorescence spectroscopy were used for the detection of mycotoxins, and it was observed that OCR shows sensitivity and selectivity toward zearalenone (ZEN) only, irrespective of any other analytes. Furthermore, the colorimetric test revealed that the developed OCR shows a change in color with the addition of ZEN from greenish-gray to blue that is visible to the naked eye. The quantification of ZEN was also achieved using RGB analysis and compared with UV-visible spectroscopy data. Further, for the on-site detection of ZEN, a paper-based CLFD was also developed and used to evaluate the spiked corn sample containing ZEN, and it provided significant results with a limit of detection (LOD) of 0.31 nM (3σ method), good linearity ( R 2 = 0.9702), good reproducibility (SD = ±6%, triplicate), and good recovery of ZEN of 95-102% with a variation coefficient (VC) varying from 1.56 to 4.62%. Therefore, the device has the potential to check the mycotoxin toxicity in food products and is helpful in remote and developing areas.

Colorimetric measurements by image analysis, giving RGB or HSV data, have become commonplace with optical indicator-based assays and as a readout for paper-based analytical devices (PADs). Yet, most works on PADs tend to ignore the quantitative relationship between color data and concentration, which may hamper their establishment as analytical devices and make it difficult to properly understand chemical or biological reactions on the paper substrate. This Perspective Article discusses how image color data are computed into colorimetric absorbance values that correlate linearly to dye concentration and compare well to traditional spectrophotometry. Thioflavin T (ThT), Neutral Red (NR), and Orange IV are used here as model systems. Absorbance measurements in solution correlate well to image data (and Beer's law) from the color channel of relevance if the gamma correction normally used to render the picture more natural to the human eye is removed. This approach also allows one to correct for color cast and variable background color, which may otherwise limit quantitation in field measurements. Reflectance measurements on paper color spots are equally found to correlate quantitatively between spectroscopy and imaging devices. In this way, deviations from Beer's law are identified that are explained with dye interactions on the paper substrate.

Urinary glucose determination using a glucose test strip is simple and convenient in daily self-monitoring of diabetes. However, diabetic patients exhibit acquired impaired color vision (ICV), which results in the inability to discriminate between hues. Even with the assistance of a color chart, it is still not easy for these patients to read the urinary glucose results with the naked eye. In this study, a smartphone camera using an image-based colorimetric detection method was successfully developed for quantitative analysis of urine glucose. A horseradish peroxidase-hydrogen peroxide-3,3′5,5′-tetramethylbenzidine (HRP–H 2 O 2 –TMB) system was optimized for a reliable and gradual color fading process via a glucose oxidase (GOD) catalyzed oxidation reaction. The color changes of the peroxidase-H 2 O 2 enzymatic reactions in the 96-well microplate were captured by a smartphone RGB camera with subsequent detection of red, green, and blue (RGB) intensities decreasing at each image pixel. The highly quantitative relationships between the glucose concentrations and the color characteristic values of the blue channel of the captured images were successfully established. The high accuracy of this method was demonstrated in urine glucose measurements with a linear response over the 0.039 mg mL−1 to 10.000 mg mL−1 glucose concentration range and a 0.009 mg mL−1 detection limit. The method has great potential as a point-of-need platform for diabetic patients with defective color vision and features high accuracy and low cost. Image 1 • Colorimetric detection capable of quantitative analysis with a regular smartphone. • Can be detected both visually by the naked eye and by a smartphone. • A point-of-need platform for uninary glucose at a high accuracy, but a low cost. • Feasible option for diabetics with impaired color discrimination in daily self-monitoring. [ABSTRACT FROM AUTHOR]