Colorimetric and visual determination of uric acid based on decolorization of manganese dioxide nanosheet dispersions

The colorimetric and ratiometric fluorescence dual-mode detection of hypoxanthine through catalytic reactions for assessing aquatic product freshness

Timely and accurate assessment of the freshness of aquatic products with complex matrices remains significant challenge. In this study, we developed a dual-mode detection method for hypoxanthine (Hx) based on dual-decomposition mechanisms and simple catalytic reactions. The colorimetric mode, requiring 15 min, is ideal for on-site assessments, while the ratiometric fluorescence mode, equipped with a built-in reference signal, effectively reduces interference from complex matrices. This dual-mode approach enables highly sensitive Hx detection, with detection limits of 1.506 μM and 3.03 μM, respectively, and has been successfully applied to monitor spoilage in real samples under varying storage conditions. The method exhibits excellent reproducibility, with intra-day and inter-day relative standard deviations of 1.05 %-4.30 % and 1.40 %, respectively. Compared to triple quadrupole liquid chromatography-mass spectrometry, this method demonstrates a recovery rate of 88.30 % to 115.08 %, highlighting its significant potential for timely and reliable detection of freshness deterioration and safety monitoring in aquatic products.

A three-mode biosensor for hypoxanthine assay in aquatic products under various storage conditions

Establishing a rapid and accurate method for monitoring the freshness of aquatic products is of great importance. Hypoxanthine has been considered an essential indicator of aquatic products' freshness. Here, a novel smartphone colorimetric / inductively coupled plasma mass spectrometry (ICP-MS) / photothermal three-mode sensing strategy was established for monitoring hypoxanthine. Hypoxanthine can be catalyzed by xanthine oxidase to H2O2 and uric acid, which can simultaneously degrade MnO2 nanosheets (NSs) to Mn2+. After filter-assisted separation, the smartphone and ICP-MS were performed by monitoring the color of the membrane and the Mn2+ in the filtrate. Additionally, MnO2 NSs can facilitate the oxidation of dopamine to form polydopamine nanoparticles, which exhibit strong photothermal efficiency. The approach successfully monitored the deterioration of aquatic products under various storage conditions through portable thermometers and smartphones with low limits of detection (LODs), providing a potential application for in-situ evaluation of the freshness of aquatic products.

Simple enzyme-free detection of uric acid by an in situ fluorescence and colorimetric method based on Co-PBA with high oxidase activity

In this work, we prepared a simple and low-cost cobalt-doped Prussian blue analog (Co-PBA), which can directly oxidize 10-acetyl-3,7-dihydroxyphenoxazine and 3,3',5,5'-tetramethylbenzidine (TMB) to produce resorufin (ox-AR) with high fluorescent quantum yield and ox-TMB with blue color, respectively, without the need for unstable H2O2. Using the Michaelis-Menten curve and Lineweaver-Burk equation, the Michaelis-Menten constant of Co-PBA and the substrate TMB was found to be 0.033 mM, which was much lower than horseradish peroxidase and other reported nanozymes, showing satisfactory substrate affinity. Uric acid (UA) can cause erosion of the Co-PBA structure, and it significantly reduces the catalytic activity of Co-PBA, resulting in the decrease of the fluorescence emission signal of ox-AR and the absorption signal of ox-TMB. Based on this, a simple, sensitive, and fast fluorescence/colorimetric dual-mode uric acid detection platform was established. The detection range for UA by fluorescence method is 0.625-40 μM, and the detection limit (LOD, S/N = 3) is as low as 0.389 μM. The detection system was applied to serum samples with good recovery and can be used for field detection of UA in biological samples under different environments to meet different needs.

Calcium Fluoride/Manganese Dioxide Nanocomposite with Dual Enzyme-like Activities for Uric Acid Sensing: A Comparative Study of Enzyme and Nonenzyme Methods

The debate over enzyme methods versus nonenzyme methods in the field of nanosensing has lasted for decades despite hundreds of published studies on this topic. In this study, we first present a comparative analysis of these methods using a reaction based on the CaF2/MnO2 nanocomposite (CM Nc) with dual-enzyme activity, presenting oxidase- and peroxidase-like activities. Uric acid (UA) is a byproduct of purine metabolism in the body, and abnormal levels can cause many diseases; hence, tracking the amount of UA in human serum is crucial. The enzyme method was established using uricase and CM Nc: UA produced H2O2 when catalyzed by uricase; H2O2 was then catalyzed into reactive oxygen species (ROS) by the peroxidase activity of the CM Nc; this ROS oxidized 3,3',5,5'-tetramethylbenzidine (TMB), which was oxidized into blue oxidized TMB (oxTMB). The nonenzyme method was built on the scavenging effect of UA on the ROS, which prevented the catalytic capability of CM Nc toward TMB and induced blue oxTMB fading. The results of further tests revealed the good selectivity of the enzyme method compared to the fast response of the nonenzyme method. Additionally, both methods were effective in determining the UA concentration in human serum. The two separate methods can also independently verify each other, increasing the accuracy of the detection results in accordance with the relatively independent detection principles. This research provided theoretical backing for the practical design of multienzyme nanozyme catalysts, which can facilitate the precise detection of UA in biochemical products.