Abstract: A method for determining ciprofloxacin in a meat product based on an enzyme-linked upconversion fluorescence and potassium titanium oxalate system is provided. An enzyme-linked upconversion nanoparticle solution is mixed with an aptamer-bound magnetized polydopamine solution to obtain a fluorescence-ultraviolet dual-signal detection system. A fluorescence standard curve and a colorimetric standard curve for the ciprofloxacin content determination are created through the fluorescence-ultraviolet dual-signal detection system in combination with potassium titanium oxalate and hydrogen peroxide. A fluorescence intensity signal characteristic value and an ultraviolet absorbance signal characteristic value of a meat sample solution are determined. A ciprofloxacin content in the meat sample is calculated according to the fluorescence standard curve and the colorimetric standard curve.

Abstract: The invention relates to a double-microenvironment three-layer bionic hydrogel scaffold and a preparation method and application thereof, which are characterized in that includes a cartilage layer GL-HPKGN, an intermediate layer GL-GMA, and a bone layer GL-HP/GMAAT; by an enzymatic crosslinking reaction based on hydroxyphenylpropionic acid (HPA), kartogenin (KGN) is grafted onto gelatin to form a cartilage-specific microenvironment in GL-HPKGN; Based on hydroxyphenylpropionic acid (HPA), a dual crosslinking network was formed by enzyme crosslinking reaction and methacryloyl-glycidyl dimethicone (GMA) photo-crosslinking reaction, which was used to graft atorvastatin (AT) onto gelatin, forming GL-HP/GMAAT with bone-specific microenvironment; the intermediate layer GL-GMA was beneficial for forming a clear and defined cartilage-bone integrated structure. The introduction of the tide-line intermediate layer GL-GMA facilitated the formation of well-defined chondro-bone integrated structures.

Abstract: A data optimization method for a food fermentation process is provided. Process data of the food fermentation process is acquired, and a multi-scale cross-correlation feature filter (MCFF) is constructed. Feature data corresponding to the process data is extracted in real time based on the MCFF, and processed. A data prediction model corresponding to the feature data is created through a machine learning method, and based on the data prediction model and an optimization algorithm, predicted optimization control data corresponding to the food fermentation process is generated in real time. A data optimization system is further provided.

Abstract: A method for determining ciprofloxacin in a meat product based on an enzyme-linked upconversion fluorescence and potassium titanium oxalate system is provided. An enzyme-linked upconversion nanoparticle solution is mixed with an aptamer-bound magnetized polydopamine solution to obtain a fluorescence-ultraviolet dual-signal detection system. A fluorescence standard curve and a colorimetric standard curve for the ciprofloxacin content determination are created through the fluorescence-ultraviolet dual-signal detection system in combination with potassium titanium oxalate and hydrogen peroxide. A fluorescence intensity signal characteristic value and an ultraviolet absorbance signal characteristic value of a meat sample solution are determined. A ciprofloxacin content in the meat sample is calculated according to the fluorescence standard curve and the colorimetric standard curve.

Abstract: A method and a system for detecting pesticide residues in tea based on a surface-enhanced Raman scattering (SERS) sensor are provided. An octahedral gold-silver hollow cage-based sensor is prepared, mixed with a pesticide standard solution and analyzed to obtain SERS spectral data. The SERS spectral data is processed, and a quantitative model is established based on the processed SERS spectral data. Based on the quantitative model, the detection of thiram and pymetrozine in tea samples can be completed. By means of an octahedral cuprous oxide template, gold-silver octahedral hollow cage (Au—AgOHCs) nanomaterials are prepared by reduction of gold and silver ions and removal of the template by acid dissolution, so as to prepare the SERS sensor, which can be applied to the rapid and quantitative detection of thiram and pymetrozine in tea samples.

Abstract: Disclosed are an electrostatically driven comb structure of an MEMS (Micro Electro Mechanical System), a micro-mirror using the same, and a preparation method therefor.

Abstract: Disclosed are an electrostatically driven comb structure of an MEMS (Micro Electro Mechanical System), a micro-mirror using the same, and a preparation method therefor.

Abstract: A method and a system for detecting pesticide residues in tea based on a surface-enhanced Raman scattering (SERS) sensor are provided. An octahedral gold-silver hollow cage-based sensor is prepared, mixed with a pesticide standard solution and analyzed to obtain SERS spectral data. The SERS spectral data is processed, and a quantitative model is established based on the processed SERS spectral data. Based on the quantitative model, the detection of thiram and pymetrozine in tea samples can be completed. By means of an octahedral cuprous oxide template, gold-silver octahedral hollow cage (Au—AgOHCs) nanomaterials are prepared by reduction of gold and silver ions and removal of the template by acid dissolution, so as to prepare the SERS sensor, which can be applied to the rapid and quantitative detection of thiram and pymetrozine in tea samples.

Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: The present invention provides a B7-H3 nanobody, the preparation method and use thereof. The B7-H3 nanobody comprises framework regions 1-4 (FR 1-4) and complementarity determining regions 1-3 (CDR 1-3), can specifically bind to B7-H3, and can be used for detecting B7-H3 molecules, and be used for the treatment of various malignant tumors with abnormal expression of B7-H3 molecule.

Abstract: A biosensing platform for in-situ sampling and target detection based on upconversion luminescence, including: an upconversion luminescent paper-based microfluidic device, an upconversion luminescent biosensor, and a portable detection device based on smartphone imaging. The upconversion luminescent paper-based microfluidic device is configured to sample a to-be-detected substance in situ. The upconversion luminescent biosensor is configured to allow a target to specifically recognize the to-be-detected substance. The portable detection device is configured to detect a content of the to-be-detected substance. The upconversion luminescent biosensor is prepared as follows. (S1) An upconversion nanoparticle seed is prepared. (S2) Core-shell upconversion nanoparticles are prepared. (S3) Core-shell-shell upconversion nanoparticles (UCNPs) are prepared. (S4) The UCNPs is subjected to hydrophilic modification. (S5) The hydrophilically-modified UCNPs are modified with DNA.

Abstract: Provided is use of an NGF antibody in CIPN pain. In particular, the NGF antibody blocks the interaction of nerve growth factors (NGF) with receptors thereof, and thus can treat and/or prevent chemotherapy-induced peripheral neuropathy (CIPN) pain.

Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.