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2results about How to "Rough surface" patented technology

A wearable plant humidity sensor and a method of manufacturing the same

PendingCN122282879APerfect conformal fitrough surfaceInterdigitated electrodeBiology
This invention discloses a wearable plant humidity sensor and its preparation method, belonging to the field of plant moisture detection technology. The preparation method includes: fabricating Ag interdigitated electrodes on a flexible PET substrate; reacting MA2SnCl6 precursor solution by dissolving MACl and SnCl4·5H2O in a solvent, and optionally optimizing the solution with isopropanol or ammonia; spin-coating the precursor solution onto the electrodes and annealing to form an MA2SnCl6 thin film. This invention is the first to apply lead-free double perovskite MA2SnCl6 to plant humidity sensing. The resulting sensor is flexible, wearable, and deformation-resistant, allowing it to fit closely to plant leaves, enabling real-time, in-situ, and non-destructive detection of surface moisture in living plants (such as pumpkin seedlings). It also boasts advantages such as high sensitivity, good repeatability, and strong stability, solving the problems of interference susceptibility and poor applicability of traditional detection methods.
Owner:HUAZHONG AGRI UNIV

Nanometer bimetallic multi-shell hollow oxide and preparation method and application thereof

ActiveCN118206160Brough surfaceStrong UV Absorbing Properties
This invention discloses a nano-bimetallic multi-shell hollow oxide, its preparation method, and its applications. Using divalent manganese nitrate, divalent nickel nitrate, and organic ligands as raw materials, a nano-shell hollow oxide is prepared through heating reaction and oxidative calcination. Containing two components, manganese and nickel oxides, the nanomaterial has a rough surface, strong ultraviolet absorption capacity, and good crystal structure, enabling selective adsorption of small-molecule metabolites in complex biofluids. It also efficiently absorbs laser energy from an ion source and transfers it to the metabolites, promoting efficient ionization. Based on this nanomaterial, this invention utilizes laser desorption / ionization mass spectrometry (LDI-MS) to extract metabolic fingerprints of biofluid metabolites from membranous nephropathy patients. Furthermore, a machine learning model is used to screen metabolic markers in serum and urine of patients with membranous nephropathy. This nanomaterial shows promising application prospects as a matrix for LDI-MS analysis of complex biofluids.
Owner:ZHONGSHAN HOSPITAL FUDAN UNIV