The precise and large-scale identification of intact glycopeptides is a critical step in glycoproteomics. Owing to the complexity of glycosylation, the current overall throughput, data quality and ...accessibility of intact glycopeptide identification lack behind those in routine proteomic analyses. Here, we propose a workflow for the precise high-throughput identification of intact N-glycopeptides at the proteome scale using stepped-energy fragmentation and a dedicated search engine. pGlyco 2.0 conducts comprehensive quality control including false discovery rate evaluation at all three levels of matches to glycans, peptides and glycopeptides, improving the current level of accuracy of intact glycopeptide identification. The N-glycoproteome of samples metabolically labeled with
N/
C were analyzed quantitatively and utilized to validate the glycopeptide identification, which could be used as a novel benchmark pipeline to compare different search engines. Finally, we report a large-scale glycoproteome dataset consisting of 10,009 distinct site-specific N-glycans on 1988 glycosylation sites from 955 glycoproteins in five mouse tissues.Protein glycosylation is a heterogeneous post-translational modification that generates greater proteomic diversity that is difficult to analyze. Here the authors describe pGlyco 2.0, a workflow for the precise one step identification of intact N-glycopeptides at the proteome scale.
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•The SnS2-covalent organic framework van der Waals heterojunction (SnS2COF) was constructed.•With good photoelectric properties, SnS2COF can realize separation and transfer of ...electron-hole.•The electron flow path of heterojunction conforms to Z-scheme by experimental study and theoretical calculation.•SnS2COF can effectively reduce and remove U (VI) from rare earth tailings wastewater under UV/Vis light.
Uranium removal by photocatalytic reduction is one of the most promising methods to reduce radioactive contamination in wastewater. Herein, a Z-scheme van der Waals heterojunction photocatalyst (SnS2COF) was synthesized in situ by combining covalent organic frameworks (COF) with semiconductor (SnS2) for U (VI) reduction in rare earth tailings wastewater. The synthesis method of van der Waals heterojunction is simple and solves the problem of no hanging bond in composite components. In this heterojunction, large areas of van der Waals interaction form high-speed electron transport channels. In addition, it is deduced that SnS2COF fits the Z-scheme heterojunction electron transport mode through the theoretical calculation of the ground state and excited state electron density difference and the related band structure. Under the photoexcitation, the direction of electron flow is reversed, which further promotes the separation of the photogenerated electron (e−)-hole (h+) under the action of the built-in electric field, maintains the high reducibility of the conduction band, and avoids the photocorrosion of SnS2. Compared with inorganic-inorganic heterojunction, SnS2COF has a wider light absorption range, more active sites, and higher e−-h+ separation and transfer efficiency. Therefore, it had a higher U (VI) reduction removal capacity, up to 1123.3 mg g−1, far surpassing the SnS2 and COF counterparts under ultraviolet/visible light. And the U (VI) removal rate reached 98.5 % in rare earth tailings wastewater. The design concept of organic–inorganic heterojunction materials provides an alternative strategy for improving the photocatalytic performance.
In recent years, underwater robots have been an essential focus of marine science and technology applications. Whether it is the application of military tasks or general civil affairs, underwater ...robots have played a significant role. For example, unmanned underwater vehicles (UUVs) can work in the sea for a long time, have high maneuverability, and perform various underwater tasks. There are many subcategories of UUVs, such as autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), and autonomous and remotely operated vehicles (ARVs) (Kong et al., 2020).
Since aging in agriculture has currently become a problem in many advanced countries worldwide, in response to the growing shortage of agricultural labor, several of these countries have invested in ...the development of agricultural robots to solve the agricultural labor shortage problem. Automatic equipment to support agricultural harvesting can reduce the labor demand. As a result, this paper proposes an Artificial Intelligence of Things (AIoT)-based autonomous mobile robot (AMR) system for pitaya harvesting. The proposed system uses an AI edge computing-based development board (NVIDIA Jetson Nano development board) and combines a 2D simultaneous localization and mapping (SLAM) algorithm and an AI object recognition module. The SLAM algorithm is used for environmental detection in an unknown environment, and surrounding environment information cancan be detected by the sensor for map construction to facilitate robot navigation in pitaya orchards. In addition, this article describes an AI object recognition module used for pitaya recognition to facilitate pitaya harvesting. The accuracy of the proposed pitaya recognition model can reach 96.7% on the adopted NVIDIA Jetson Nano development board. A pitaya orchard is simulated in the experimental environment discussed in this paper. In the simulated experimental environment, the proposed AMR system can achieve efficient pitaya harvesting and realize intelligent farming.
Plasmonic photocatalysis is an effective strategy to solve radioactive uranium hazards in wastewater. A plasmonic photocatalyst Bi/Bi2O3−x@COFs was synthesized by in-situ growth of covalent organic ...frameworks (COFs) on Bi/Bi2O3−x surface for the U(VI) adsorption and plasmonic photoreduction in rare earth tailings wastewater. The presence of oxygen vacancy in Bi/Bi2O3−x and Schottky potential well formed by Bi and Bi2O3−x interface increased the number of free electrons, which induced localized surface plasmon resonance (LSPR) and enhanced the light absorption performance of composites. In addition, oxygen vacancy improved the Fermi level of Bi/Bi2O3−x, leading to another potential well between Bi2O3−x and COFs interface. The electron transport direction was reversed, thus increasing the electron density of COFs layer. COFs was an N-type semiconductor with specific binding U(VI) groups and suitable band structure, which could be used as an active reaction site. Bi/Bi2O3−x@COFs had 1411.5 mg g−1 removal capacity and high separation coefficient for U(VI) due to the synergistic action of photogenerated electrons and hot electrons. Moreover, the removal rate of uranium from rare earth tailings wastewater by regenerated Bi/Bi2O3−x@COFs was over 93.9%. The scheme of introducing LSPR and Schottky potential well provides another way to improve the photocatalytic effect.
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•Bi/Bi2O3−x@COFs with core-shell structure was synthesized in-situ.•Oxygen vacancies in Bi2O3−x induced LSPR and increased light absorption.•The double Schottky potential well increased the electron density of COFs.•U(VI) was reduced by the synergistic action of photogenerated and hot electrons.•Regenerated Bi/Bi2O3−x@COFs had high cyclic stability.
Photocatalytic reduction of UVI to UIV can help remove U from the environment and thus reduce the harmful impacts of radiation emitted by uranium isotopes. Herein, we first synthesized Bi4Ti3O12 (B1) ...particles, then B1 was crosslinked with 6-chloro-1,3,5-triazine-diamine (DCT) to afford B2. Finally, B3 was formed using B2 and 4-formylbenzaldehyde (BA-CHO) to investigate the utility of the D-π-A array structure for photocatalytic UVI removal from rare earth tailings wastewater. B1 lacked adsorption sites and displayed a wide band gap. The grafted triazine moiety in B2 introduced active sites and narrowed the band gap. Notably, B3, a Bi4Ti3O12 (donor)-triazine unit (π-electron bridge)-aldehyde benzene (acceptor) molecule, effectively formed the D-π-A array structure, which formed multiple polarization fields and further narrowed the band gap. Therefore, UVI was more likely to capture electrons at the adsorption site of B3 and be reduced to UIV due to energy level matching effects. UVI removal capacity of B3 under simulated sunlight was 684.9 mg g−1, 2.5 times greater than B1 and 1.8 times greater than B2. B3 was still active after multiple reaction cycles, and UVI removal from tailings wastewater reached 90.8%. Overall, B3 provides an alternative design scheme for enhancing photocatalytic performance.
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Photocatalytic UVI reduction is one of the most promising methods to reduce radioactive uranium contamination in tailings wastewater. Herein, a Bi4Ti3O12 (donor)-triazine (π-electron bridge)-aldehyde benzene (acceptor) crosslinked molecule, named B3, was formed D-π-A array structure for significantly improving photocatalytic UVI removal performance from tailings wastewater. The improved performance of B3 is due to the increased adsorption sites on the triazine and the increased electron push-pull effect of aldehyde group benzene as a weak acceptor for extended electron delocalization, resulting in the formation of multiple polarization fields. The modulation of D-π-A array structure provides an alternative means to improve photocatalytic performance.
•Bi4Ti3O12-triazine unit-aldehyde benzene molecule formed D-π-A array structure.•The D-π-A array structure can form multiple polarization fields.•The D-π-A array structure can regulate band gap width and charge transfer.•The modulation of D-π-A structure can improve photocatalytic performance.
This article proposes an autonomous mobile robot (AMR) system based on the artificial intelligence of things (AIoT) for collecting garbage. The proposed system consists of an AMR subsystem, a robot ...operating system (ROS) robot subsystem, an AI garbage recognition subsystem, solar power supply subsystem, and a smart trash can subsystem. The AMR subsystem uses a motor drive, which is built on an aluminum alloy metal base and is connected to an AI edge computing module via an app, to control the robot. The ROS subsystem is built on an edge computing module, which is coupled with the motor drive module to control the robot arm and the robot gripper, and is connected to the AI edge computing module to control the robot arm through the app. The AI garbage recognition subsystem recognizes the types of waste in real time through an image sensor (camera). This subsystem adopts multiple sensors that can monitor the level of waste in the trash can. Moreover, a map on a web platform locates all trash cans. Servomotors enable automatic opening and closing of the lid to prevent the unpleasant smell of garbage from wafting. A user connects to the AI edge computing module through an app to monitor the robot and control the movement of the robot to any location on the map.
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•Ti-MOF@DATp was developed by using Ti-MOF as core and in-situ growing DATp shells on its surface.•A Z-Scheme heterojunction was created through covalent bonds between Ti-MOF and ...DATp.•The Ti-MOF@DATp enables tetracycline passing through the DATp shell while selectively capturing U(VI).•Ti-MOF serves as the site for photooxidation tetracycline, while DATp serves as the site for photoreduction U(VI).
Uranium and antibiotics coexisting in natural water bodies pose a significant threat to the environment and human health. Herein, Ti-MOF@DATp was developed by using a metal–organic framework (Ti-MOF) as the core and in-situ growing covalent organic framework (DATp) shells on its surface for simultaneous photocatalytic reduction U(VI) and oxidation tetracycline. The staggered energy levels between Ti-MOF and DATp create a Z-Scheme heterojunction through covalent bonds between them, promoting the charge and holes transfer with enhancing the photocatalytic performance. The Ti-MOF@DATp enables tetracycline passing through the DATp shell while selectively capturing U(VI), then Ti-MOF functions as the site for photooxidation tetracycline, while DATp serves as the site for photoreduction U(VI). The oxidation and reduction of sites can be effectively separated, improving the utilization efficiency of photogenerated electrons and holes. Hence, Ti-MOF@DATp can effectively accomplish the simultaneous photocatalytic removal of 96% U(VI) and 90% tetracycline of their mixture. In comparison to the removal efficiency of 89% for U(VI) and 77% for tetracycline when removal alone, a notable enhancement in performance is observed. Particularly, the removal rate constant of the U(VI) and tetracycline mixture is 55 times higher than that of U(VI) alone and 4 times higher than that of tetracycline alone. Therefore, bifunctional photocatalysts offer an effective approach to tackling complex environmental challenges.
With the advancement of medical care and technology, human life expectancy is increasing, many advanced countries have aging societies, and the elderly have increasing needs for society to address; ...these have become some of the main problems to be solved in modern society (Chang et al., 2021). To solve these problems, long-term care institutions have become one of the solutions. In addition, dementia is the most important social problem among elderly individuals (Tsang et al., 2020). In most Asian countries, the solution to the problem of dementia in the elderly is to establish long-term care institutions, such as villages for elderly individuals and nursing homes. However, there is still the problem of companionship in an aging society. The needs of the elderly lie in companionship. Through family companionship, the elderly can share the joys of daily life with their families.
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