Background and aims: Recently, nanozymes have been regarded as powerful alternatives fornatural enzymes in the detection of biomarkers such as hydrogen peroxidase (H۲O۲). High H۲O۲concentrations induce oxidative stress and diseases, such as cancer. Therefore, sensitive measurementof
H۲O۲ could be helpful for the evaluation of the oxidative status in cells and the prognosticationof pathogenesis and diseases. This work aimed to fabricate an effective colorimetric H۲O۲biosensor based on ZnCr layered double hydroxide (LDH)/rGO nanocomposite enzyme-like activityand optimize the effective factors in its activity, such as pH, temperature, and substrateconcentration, using a model of artificial intelligence.Method: Herein, ZnCr LDH, and its nanocomposites with rGO were synthesized using theco-precipitation method. Then, we fabricated a colorimetric biosensor through ZnCr-LDH/rGOnanocomposite enzyme-like activity, for the first time. In the presence of H۲O۲, the nanocompositecatalyzes the oxidation of the chromogenic substrate ۳,۳’,۵,۵’-tetramethylbenzidine (TMB) toproduce a blue color with a prominent peak at ۶۵۲ nm. In this work, Taguchi’s design experimentwas used to design and optimize effective factors in the colorimetric detection of
H۲O۲ at fivedifferent levels. In addition, the
Taguchi method as an artificial intelligence method was employedto determine the main affecting factor in the detection process. The experimental tests were performedusing a UV-vis spectrophotometer based on the alterations in absorbance of oxidizedTMB at ۶۵۲ nm. Finally, the ANOVA technique was used to statistically determine the effectivenessof the components in the detection of H۲O۲Results: The artificial modeling process of the
Taguchi method for optimization of different parametersillustrated the high enzyme-like activity of the ZnCr-LDH/rGO nanocomposite at pH ۶and ۲۵ °C. Furthermore, the results showed that increasing nanocomposite and
H۲O۲ concentrationsup to ۴۰ μg/mL and ۱۵۰ μM, respectively, enhanced the performance of the colorimetricmethod. By examining the influence of the factors using the ANOVA statistical analysis technique,it was found that pH and temperature have the greatest effect on the biosensing of hydrogenperoxide.Conclusion:
H۲O۲ is a significant biomarker in the early diagnosis of diseases such as cancer,and it is very important to develop a reliable
H۲O۲ detection method. Applying artificial intelligencemodeling could determine the optimal conditions for effective factors and their interactionwith the activity of
H۲O۲ biosensors.