ORCID Profile
0000-0002-2898-844X
Current Organisation
Australian National University
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Publisher: Wiley
Date: 29-03-2022
Abstract: The solar‐energy‐driven photoreduction of CO 2 has recently emerged as a promising approach to directly transform CO 2 into valuable energy sources under mild conditions. As a clean‐burning fuel and drop‐in replacement for natural gas, CH 4 is an ideal product of CO 2 photoreduction, but the development of highly active and selective semiconductor‐based photocatalysts for this important transformation remains challenging. Hence, significant efforts have been made in the search for active, selective, stable, and sustainable photocatalysts. In this review, recent applications of cutting‐edge experimental and computational materials design strategies toward the discovery of novel catalysts for CO 2 photocatalytic conversion to CH 4 are systematically summarized. First, insights into effective experimental catalyst engineering strategies, including heterojunctions, defect engineering, cocatalysts, surface modification, facet engineering, and single atoms, are presented. Then, data‐driven photocatalyst design spanning density functional theory (DFT) simulations, high‐throughput computational screening, and machine learning (ML) is presented through a step‐by‐step introduction. The combination of DFT, ML, and experiments is emphasized as a powerful solution for accelerating the discovery of novel catalysts for photocatalytic reduction of CO 2 . Last, challenges and perspectives concerning the interplay between experiments and data‐driven rational design strategies for the industrialization of large‐scale CO 2 photoreduction technologies are described.
Publisher: Springer Singapore
Date: 2020
Publisher: MDPI AG
Date: 06-09-2016
Publisher: Royal Society of Chemistry (RSC)
Date: 2021
DOI: 10.1039/D0CS01146K
Abstract: This review has summarized and discussed the recent advances of periodic nanostructures, consisting of multiple identical nano units/components periodically arranged in good order, from their preparation and properties to applications.
Publisher: Taylor & Francis
Date: 02-08-2006
Publisher: Royal Society of Chemistry (RSC)
Date: 2022
DOI: 10.1039/D1NH00459J
Abstract: The synthesis, characterization, and applications of rare earth-based single-atom catalysts.
Publisher: Wiley
Date: 29-10-2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2023
DOI: 10.1039/D3NH00348E
Publisher: Elsevier BV
Date: 08-2023
Publisher: Wiley
Date: 10-10-2017
Publisher: Ivyspring International Publisher
Date: 2021
DOI: 10.7150/THNO.53459
Publisher: Wiley
Date: 29-10-2021
Publisher: American Chemical Society (ACS)
Date: 19-01-2016
Abstract: Vitamin B1 (1) and its phosphate derivatives, thiamine monophosphate (2) and thiamine pyrophosphate (3), are shown to form stable 1:1 host-guest complexes with cucurbit[7]uril (CB[7]) in aqueous solution. The binding sites of CB[7] on these guests shift from the ethylthiazolium region of 1 to the pyrimidine moiety of 2 and 3 due to the presence of phosphate groups, leading to variations of binding affinities as well as C(2)-H/D exchange rate constants and C(2)-H pKa values with these guest molecules.
Publisher: Royal Society of Chemistry (RSC)
Date: 2017
DOI: 10.1039/C7OB00547D
Abstract: The significant fluorescence enhancement and p K a shift of fasudil upon encapsulation by cucurbit[7]uril may provide a traceable enteric formulation.
Publisher: American Chemical Society (ACS)
Date: 04-09-2018
Publisher: Elsevier BV
Date: 07-2021
Publisher: American Chemical Society (ACS)
Date: 04-04-2018
Abstract: This is the first time that cucurbit[7]uril and cucurbit[8]uril have been demonstrated to serve as synthetic receptors for a halonium guest species, diphenyleneiodonium, modulating its bioactivities and alleviating its cardiotoxicity, which further expands the onium family of guest molecules for the cucurbit[ n]uril family and provides new insights for halonium-cucurbit[ n]uril host-guest chemistry and its potential applications in pharmaceutical chemistry.
Publisher: The Royal Society of Chemistry
Date: 04-09-2019
DOI: 10.1039/9781788015950-00193
Abstract: The cucurbit[n]uril (CB[n]) family is an emerging class of host molecules in the field of supramolecular chemistry with a relatively short history (except for CB[6]). The internal cavities of CB[n]s are nonpolar and hydrophobic, guarded by two carbonyl-laced portals, thus they can encapsulate not only neutral molecules via hydrophobic effects but also complex cationic species via ion–dipole interactions. Due to these unique properties, many promising discoveries of supramolecular interactions between CB[n]s and biomolecules and small organic drug molecules have emerged with potential implications in the field of pharmaceutical sciences, which have become one of the most significant areas of potential applications for CB[n]s. In this chapter, we summarize the noncovalent interactions of peptides, proteins and drug molecules with CB[n] homologues and derivatives and discuss the ability of CB[n]s to modulate the functions and bioactivities of these species through host–guest chemistry, as well as the potential of CB[n]s for protein enrichments, together with other relevant topics.
Publisher: Wiley
Date: 12-10-2016
Abstract: As determined by both
Publisher: American Chemical Society (ACS)
Date: 25-06-2019
Abstract: The increasing use of pesticides in agriculture and gardening has caused severe deterioration to both the ecosystem and the health of users (human beings), so there is an urgent need for eco- and user-friendly pesticides. Among a variety of herbicides, paraquat (PQ), frequently used as an effective herbicidal agent worldwide, is well-known for its serious toxicity that has killed, and harmed, thousands of people and countless wildlife such as fish. Herein, we present a facile supramolecular formulation of PQ@cucurbit[7]uril (PQ@CB[7]), prepared by simply mixing PQ with equivalent (molar) CB[7] in water. With addition of CB[7], PQ's cellular uptake was dramatically inhibited. The reactive oxygen species (ROS) generation and the associated apoptosis otherwise induced by PQ in cellular models were both reduced, resulting in increased cellular viability. In a wildtype zebrafish model that is a typical fragile wildlife species in the ecosystem, the supramolecular formulation exhibited significantly reduced hepatotoxicity and increased survival rate, in comparison with those of the fish exposed to free PQ. In a mouse model that is clinically relevant to human being, the administration of PQ@CB[7] significantly alleviated major organ injuries and unusual hematological parameters that were otherwise induced by free PQ, resulting in a significantly increased survival rate. Meanwhile, this formulation maintained effective herbicidal activity that was equivalent to that of free PQ. Taken together, this facile supramolecular PQ formulation is providing not only an extremely rare ex le of an eco- and user-friendly herbicide that has been desired for decades but also a practical solution for green agriculture.
Publisher: Elsevier BV
Date: 2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2018
DOI: 10.1039/C8CC08681H
Abstract: A molecular switch built with cucurbit[7]uril and a 3-station viologen-phenylene-imidazole compound has showed pH actuated ring translocation with high fatigue resistance and promising features against cancer cells.
Publisher: Royal Society of Chemistry (RSC)
Date: 2018
DOI: 10.1039/C8BM00022K
Abstract: Upon supramolecular wrapping by cucurbit[7]uril, the cytotoxicity of polyethylenimine was significantly alleviated as demonstrated by MTT, apoptosis, and hemolysis assays.
Publisher: American Chemical Society (ACS)
Date: 11-05-2018
DOI: 10.1021/ACS.ORGLETT.8B01019
Abstract: Among a series of metal ions in water, silver is the only one to remotely and reversibly switch cucurbit[7]uril (CB[7]) movements (translocation or uptake) on a rigid and linear three-station viologen-phenylene-imidazole ( V-P-I) derivative, avoiding undesired pH actuation.
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.FCT.2017.02.022
Abstract: Nitidine chloride (NC) has demonstrated promising anticancer activity. However, NC has also shown non-specific toxicity in various healthy organs such as the liver. In this study, we aimed to develop a supramolecular formulation of NC and investigate the associated benefits of such a supramolecular formulation on modulating its inherent hepatotoxicity and anticancer activity. The formation of NC-cucurbit[7]uil (NC@CB[7]) complexes was characterized by
Publisher: Royal Society of Chemistry (RSC)
Date: 2018
DOI: 10.1039/C8CC05031G
Abstract: Glutathione-responsive, paclitaxel-loaded nanoparticles based on homodithiacalix[4]arene were successfully developed, exhibiting selective drug release in cancer cells.
Publisher: Royal Society of Chemistry (RSC)
Date: 2016
DOI: 10.1039/C5NJ03259H
Abstract: Cucurbit[7]uril forms 1 : 1 molecular capsules with benzocaine (an anesthetic agent) and its metabolite para -aminobenzoic acid, respectively, in aqueous solution.
Publisher: Wiley
Date: 28-07-2022
Abstract: Owing to the rapid developments to improve the accuracy and efficiency of both experimental and computational investigative methodologies, the massive amounts of data generated have led the field of materials science into the fourth paradigm of data‐driven scientific research. This transition requires the development of authoritative and up‐to‐date frameworks for data‐driven approaches for material innovation. A critical discussion on the current advances in the data‐driven discovery of materials with a focus on frameworks, machine‐learning algorithms, material‐specific databases, descriptors, and targeted applications in the field of inorganic materials is presented. Frameworks for rationalizing data‐driven material innovation are described, and a critical review of essential subdisciplines is presented, including: i) advanced data‐intensive strategies and machine‐learning algorithms ii) material databases and related tools and platforms for data generation and management iii) commonly used molecular descriptors used in data‐driven processes. Furthermore, an in‐depth discussion on the broad applications of material innovation, such as energy conversion and storage, environmental decontamination, flexible electronics, optoelectronics, superconductors, metallic glasses, and magnetic materials, is provided. Finally, how these subdisciplines (with insights into the synergy of materials science, computational tools, and mathematics) support data‐driven paradigms is outlined, and the opportunities and challenges in data‐driven material innovation are highlighted.
Publisher: Wiley
Date: 07-08-2019
Abstract: A viologen derivative carrying a benzimidazole group (V-P-I
Publisher: Elsevier BV
Date: 02-2018
DOI: 10.1016/J.FCT.2017.12.016
Abstract: In order to develop a novel strategy to alleviate the inherent hepatotoxicity of antidepressant trazodone (TZ), Cucurbit[7]uril (CB[7]) was adopted as pharmaceutical excipients and was studied for its capability to reduce the hepatotoxicity of TZ via supramolecular encapsulation. CB[7] was found to form strong 1:1 host-guest complexes with TZ and its metabolite m-chlorophenyl piperazine (mCPP), with binding constants of 1.50 (±0.13) × 10
Publisher: Elsevier BV
Date: 08-2023
Publisher: American Chemical Society (ACS)
Date: 28-08-2023
Publisher: Wiley
Date: 03-2022
DOI: 10.1002/SMM2.1107
Abstract: In the past decades, machine learning (ML) has impacted the field of electrocatalysis. Modern researchers have begun to take advantage of ML‐based data‐driven techniques to overcome the computational and experimental limitations to accelerate rational catalyst design. Hence, significant efforts have been made to perform ML to accelerate calculation and aid electrocatalyst design for CO 2 reduction. This review discusses recent applications of ML to discover, design, and optimize novel electrocatalysts. First, insights into ML aided in accelerating calculation are presented. Then, ML aided in the rational design of the electrocatalyst is introduced, including establishing a data set/data source selection and validation of descriptor selection of ML algorithms validation and predictions of the model. Finally, the opportunities and future challenges are summarized for the future design of electrocatalyst for CO 2 reduction with the assistance of ML.
Publisher: Informa UK Limited
Date: 04-2018
Publisher: Elsevier BV
Date: 05-2020
Publisher: Wiley
Date: 04-2020
Publisher: MDPI AG
Date: 28-08-2020
Abstract: Off mainland Portugal, the common dolphin (Delphinus delphis) is the most sighted cetacean, although information on this species is limited. The Atlantic coast of Southern Portugal is characterized by an intense wind-driven upwelling, creating ideal conditions for common dolphins. Using data collected aboard whale-watching boats (1929 sightings and 4548 h effort during 2010–2014), this study aims to understand the relationships between abundance rates (AR) of dolphins of different age classes (adults, juveniles, calves and newborns) and oceanographic [chlorophyll a (Chl-a) and sea surface temperature (SST)] variables. Over 70% of the groups contained immature animals. The AR of adults was negatively related with Chl-a, but not related to SST values. The AR of juveniles was positively related with SST. For calves and newborns, although the relationship between SST and AR is similar to that observed for juveniles, the effect could not be distinguished from zero. There was no relationship between Chl-a levels and the AR of juveniles, calves and newborns. These results corroborate previous findings that common dolphins tend to occur in highly productive areas demonstrating linkages between their abundance and oceanographic variables, and that this region may be a potential nursery ground.
Publisher: American Chemical Society (ACS)
Date: 15-09-2017
Abstract: This work describes latent fluorescence particles (LFPs) based on a new environmentally sensitive carbazole compound aggregated in water and their use as sensors for probing various cavitands and the different stages of aggregating systems. Cyclodextrins (CDs), cucurbit[n]urils (CB[n], n = 6, 7, 8), and a resorcinarene capsule were used to study the dynamic nature of the LFPs. The fluorescence was dramatically enhanced by a proposed disaggregation-induced emission enhancement (DIEE) mechanism with specific features for CB[n]. Then, the aggregated states of the dipeptides Leu-Leu, Phe-Phe, and Fmoc-Leu-Leu (vesicles, crystals, fibers) were studied by fluorescence spectroscopy and confocal fluorescence microscopy thanks to the adaptive and emissive behavior of the LFPs, allowing us to study an interesting polymorphism phenomenon. The LFPs have then been used in the sensing of the aggregation of the polysaccharide alginate, for which distinct fluorescence turn-on is detected upon stepwise biopolymer assembly, and for amylose detection. The carbazole particles not only adapt to various environments but also display multicolor fluorescent signals. They can be used for the fast probing of the aggregation propensity of newly prepared molecules or biologically relevant compounds or to accelerate the discovery of new macrocycles or of self-assembling peptides in water.
No related grants have been discovered for Hang Yin.