Abstract: The present disclosure relates to a device and method for removing metal gallium, and a laser lift-off system. The device includes a device body, and the device body includes a process chamber (10), wherein fluid used for removing metal gallium left on the surfaces of multiple Micro Light Emitting Diode (Micro-LED) chips after laser lift-off is contained in the process chamber (10); and a temperature of the fluid is greater than or equal to a melting point of metal gallium.

Abstract: The application relates to a substrate structure, an on-chip structure, and a method for manufacturing the on-chip structure. The substrate structure includes a substrate body and an electrothermal layer. The electrothermal layer is arranged on a surface of the substrate body for growing an epitaxial layer. In an actual lift off process of the epitaxial layer, only the electrothermal layer is electrically conducted to an external power supply via an electrode, and heating of the electrothermal layer is utilized to heat the epitaxial layer, therefore, a part of the epitaxial layer in contact with the substrate structure can be thermally decomposed and separated from the substrate structure.

Abstract: The present disclosure relates to a device and method for removing metal gallium, and a laser lift-off system. The device includes a device body, and the device body includes a process chamber (10), wherein fluid used for removing metal gallium left on the surfaces of multiple Micro Light Emitting Diode (Micro-LED) chips after laser lift-off is contained in the process chamber (10); and a temperature of the fluid is greater than or equal to a melting point of metal gallium.

Abstract: A cloud server platform end is used to construct a mass spectrum species classification model, extract a mass spectrum data feature, and construct a training model of the convolutional neural network; a user platform end is used to upload the mass spectrum, experiment condition and device data, directly screen and identify the type of the mass spectrum based on the mass spectrum species classification model or the mass spectrum information base, automatically compare and identify the species and name of the pesticides based on the neural network model trained by the cloud server platform end, and feedback the comparison result to the user. The disclosure solves the restriction on the purchase of standards for user, the use of the system is not limited by the location, and the pesticide residues could be detected automatically, quickly and accurately.

Abstract: Disclosed is a pesticide residue detection data platform based on high resolution mass spectrum, the Internet and data science, and a method for automatically generating a detection report. The platform includes allied laboratories, a detection result database of the allied laboratories, four basic sub-databases, a data collection system and an intelligent data analysis system. The intelligent analysis system reads data according to conditions set by a user, performs various statistical analyses according to a statistical analysis model, generates charts, obtains a comprehensive conclusion, and returns an analysis result to the client ends of the allied laboratories.

Abstract: A cloud server platform end is used to construct a mass spectrum species classification model, extract a mass spectrum data feature, and construct a training model of the convolutional neural network; a user platform end is used to upload the mass spectrum, experiment condition and device data, directly screen and identify the type of the mass spectrum based on the mass spectrum species classification model or the mass spectrum information base, automatically compare and identify the species and name of the pesticides based on the neural network model trained by the cloud server platform end, and feedback the comparison result to the user. The disclosure solves the restriction on the purchase of standards for user, the use of the system is not limited by the location, and the pesticide residues could be detected automatically, quickly and accurately.

Abstract: The disclosure herein relates to a bonding device and a bonding method used in a microcomponent process, and a welding-agent placing unit. The method includes the following. A microcomponent to-be-bonded is peeled from a substrate, picked up and transferred, by a transfer unit, the microcomponent to-be-bonded to a welding-agent placing unit so as to make the electrode to-be-bonded adhere to the molten welding agent from a welding-agent hole in the welding-agent placing unit. The microcomponent to-be-bonded with molten welding agent is transferred to a driving backplate so as to realize the bonding process between the microcomponent to-be-bonded and the driving backplate after cooling of welding agent.

Abstract: Disclosed is an electronic ID database and detection method for pesticide compounds in edible agro-products based on GC-Q-Orbitrap. The electronic ID database includes a collection of various pesticide compounds electronic ID information and is sorted according to retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, mass spectrum, fragment ions information and intelligent matching value. The detection method includes sample pretreatment procedures, setting GC-Q-Orbitrap operating conditions and screening procedures for pesticide residues in samples, wherein setting GC-Q-Orbitrap operating conditions includes setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find out pesticide compounds in electronic ID database. If there is a match, the corresponding electronic ID information is extracted.

Abstract: Disclosed is an electronic ID database and detection method for pesticide compound in edible agro-products based on LC-Q-Orbitrap. The electronic ID database includes a collection of various pesticides compound electronic ID information, intelligent matching values and collision energies. It is ordered according to the retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, adduct ions information, fragment ions information, collision energies, and the optimal full scan mass spectrum. The detection method includes sample pre-treatment, setting LC-Q-Orbitrap operating conditions and sample pesticide residue screening. Setting LC-Q-Orbitrap operating conditions contain setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find pesticide compounds electronic ID database. If matching, the corresponding electronic ID information is extracted.

Abstract: Disclosed is an electronic ID database and detection method for pesticide compounds in edible agro-products based on GC-Q-Orbitrap. The electronic ID database includes a collection of various pesticide compounds electronic ID information and is sorted according to retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, mass spectrum, fragment ions information and intelligent matching value. The detection method includes sample pre-treatment procedures, setting GC-Q-Orbitrap operating conditions and screening procedures for pesticide residues in samples, wherein setting GC-Q-Orbitrap operating conditions includes setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find out pesticide compounds in electronic ID database. If there is a match, the corresponding electronic ID information is extracted.

Abstract: Disclosed is an electronic ID database and detection method for pesticide compound in edible agro-products based on LC-Q-Orbitrap. The electronic ID database includes a collection of various pesticides compound electronic ID information, intelligent matching values and collision energies. It is ordered according to the retention time in the electronic ID. The electronic ID contains pesticide compounds information, retention time, adduct ions information, fragment ions information, collision energies, and the optimal full scan mass spectrum. The detection method includes sample pre-treatment, setting LC-Q-Orbitrap operating conditions and sample pesticide residue screening. Setting LC-Q-Orbitrap operating conditions contain setting suitable chromatography and mass spectrometry conditions. In pesticide residue screening procedures, firstly, the retention time is used to find pesticide compounds electronic ID database. If matching, the corresponding electronic ID information is extracted.

Abstract: A method of online tracing pesticide residues and visualizing an warning on the basis of high resolution mass spectrum, the Internet and geographic information. Among the problems in data analysis on pesticide residue detection for edible agricultural products, problems such as multiple data dimensions, complex data relationships, and requirements for high accuracy of analysis are difficult to solve at present.

Abstract: A method of online tracing pesticide residues and visualizing an warning on the basis of high resolution mass spectrum, the Internet and geographic information. Among the problems in data analysis on pesticide residue detection for edible agricultural products, problems such as multiple data dimensions, complex data relationships, and requirements for high accuracy of analysis are difficult to solve at present.

Abstract: Disclosed is a pesticide residue detection data platform based on high resolution mass spectrum, the Internet and data science, and a method for automatically generating a detection report. The platform includes allied laboratories, a detection result database of the allied laboratories, four basic sub-databases, a data collection system and an intelligent data analysis system. The intelligent analysis system reads data according to conditions set by a user, performs various statistical analyses according to a statistical analysis model, generates charts, obtains a comprehensive conclusion, and returns an analysis result to the client ends of the allied laboratories.