Prof. Qin Shi | Publications & Academic Profile | SinoTechIntel

Research Publications & English Decoded Briefs

Showing 3 publications

Chinese Journal of Mechanical Engineering•2025•DOI: 10.1186/s10033-025-01304-9

Variable Stability Control Approach for Angle Following of Steer-by-wire System

It is particularly challenging to develop a new control theory like human intelligence, as human cognition and decision-making are variable in changing environments. In this article, the idea of variable stability is adopted to design a human-like control algorithm, referred to as variable stability control. A variable model perturbation put into the system dynamics model is computed by model game control, which simulates changes in human cognition. Lyapunov stability control is employed to formulate a backstepping control law that mimics the underlying logic algorithm in human decision-making. Some variable algorithm parameters embedded into the control law are calculated using model predictive control, which imitates dynamic tuning in human decision-making. From another perspective, variable stability control is an algorithm-hybrid control approach validated in a steer-by-wire system for angle tracking. According to the experimental results, variable stability control is a promising candidate for angle tracking in steer-by-wire systems.

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Journal of Central South University•2025•DOI: 10.1007/s11771-025-6106-0

Transformation pathways and zinc binding mechanisms in magnetite crystallization: Implications for zinc hydrometallurgy

Iron removal from zinc leachate in hydrometallurgy produces large volumes of low-grade, impurity-laden iron waste, posing significant environmental challenges. Magnetite precipitation offers a novel method for iron removal and resource recycling in zinc hydrometallurgy. However, the chemical similarity between ferrous and zinc ions, along with high zinc concentrations, causes zinc co-precipitation, challenging its application. To address this issue, this study utilized electron microscopy to observe key intermediate products in magnetite crystallization and employed EXAFS (extended X-ray absorption fine structure) to analyze their evolutionary mechanisms and zinc-binding configurations. The results indicate that the intermediate products during magnetite formation are sequentially green rust, feroxyhyte (δ-FeOOH), and weakly crystalline nanoparticles, and further analysis revealed that their transformation follows the dissolution-recrystallization mechanism. Furthermore, it was found that intermediate products such as green rust exhibit strong binding with zinc (via adsorption and lattice substitution), which was confirmed as a significant reason for the difficulty in separating zinc from magnetite. This study elucidates the transformation process of intermediate products during magnetite formation and, for the first time, reveals the binding configurations of zinc with these key intermediate products. This has significant implications for the development and optimization of new technologies for the efficient separation of iron and zinc during the magnetite precipitation process.

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Nano-Micro Letters•2024•DOI: 10.1007/s40820-024-01602-2

Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis

Ammonium level in body fluids serves as one of the critical biomarkers for healthcare, especially those relative to liver diseases. The continuous and real-time monitoring in both invasive and non-invasive manners is highly desired, while the ammonium concentrations vary largely in different body fluids. Besides, the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium ions. To tackle these challenges, a flexible and biocompatible sensing patch for wireless ammonium level sensing was reported with an ultrawide linear range for universal body fluids including blood, tears, saliva, sweat and urine. The as-prepared biocompatible sensors deliver a reliable sensitivity of 58.7 mV decade−1 in the range of 1–100 mM and a desirable selectivity coefficient of 0.11 in the interference of potassium ions, attributed to the cross-calibration within the sensors array. The sensor’s biocompatibility was validated by the cell growth on the sensor surface (>80%), hemolysis rates (<5%), negligible cellular inflammatory responses and weight changes of the mice with implanted sensors. Such biocompatible sensors with ultrawide linear range and desirable selectivity open up new possibility of highly compatible biomarker analysis via different body fluids in versatile approaches.

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