BackgroundCommunity health professionals play a significant role in dementia care. However, little is known about community health professionals’ capacity in dementia care, especially in low and middle-income countries. The aim of the present study was to assess community health professionals’ dementia knowledge, attitudes and care approach in China, a country with the largest population of people with dementia in the world and where community based dementia care services are much needed.MethodsA cross-sectional survey was conducted. 450 health professionals were recruited into the study using random sampling from community health service centres in Changsha, China. Their knowledge, attitudes and care approach were assessed utilising the Chinese version of the Alzheimer’s Disease Knowledge Scale, Dementia Care Attitude Scale and Approach to Advanced Dementia Care Questionnaire respectively.ResultsA total of 390 participants returned the questionnaire (response rate 87%). Age, education, professional group and care experience were associated with knowledge scores, and overall dementia knowledge was poor. Attitudes were generally positive and influenced by age, professional group, gender and care experience. The experience of caring for people with dementia was positively associated with a person-centred care approach, although the participants tended not to use a person-centred care approach. A statistically significant association was found between knowledge and attitudes (r = 0.379, P < 0.001), and between attitudes and care approach (r = 0.143, P < 0.001). However, dementia knowledge has no relationship with a person-centred approach.ConclusionsCommunity health professionals showed generally positive attitudes towards people with dementia. However, they demonstrated poor dementia knowledge and tended not to use a person-centred care approach. The results suggest that a multifaceted approach consisting of educational interventions for community health professionals, and policy and resource development to meet the demand for community dementia care services, is urgently needed in China.

It is well-established that the structures dominate the properties. Inspired by the highly contorted and crumpled maxilloturbinate inside dog nose, herein an artificial nanostructure, i.e., 3D crumpled graphene-based nanosheets, is reported with the simple fabrication, detailed characterizations, and efficient gas-sensing applications. A facile supramolecular noncovalent assembly is introduced to modify graphene with functional molecules, followed with a lyophilization process to massively transform 2D plane graphene-based nanosheets to 3D crumpled structure. The detailed morphological characterizations reveal that the bioinspired nanosheets exhibit full consistency with maxilloturbinate. The fabricated 3D crumpled graphene-based sensors exhibit ultrahigh response (R/R = 3.8) toward 10 ppm of NO, which is mainly attributed to the specific maxilloturbinate-mimic structure. The sensors also exhibit excellent selectivity and sensing linearity, reliable repeatability, and stability. Interestingly, it is observed that only 4 mg of graphene oxide (GO) raw materials can produce more than 1000 gas sensors, which provides a new insight for developing novel 3D biomimetic materials in large-scale gas sensor production.

Inspired by the densely covered capillary structure inside a dog's nose, we report an artificial nanostructure, i. e., poly(sodium p-styrenesulfonate)-functionalized reduced graphene oxide nanoscrolls (PGNS), with high structural perfection and efficient gas sensing applications. A facile supramolecular assembly is introduced to functionalize graphene with the functional polymer, combined with the lyophilization technique to massively transform the planar graphene-based nanosheets to nanoscrolls. Detailed characterizations reveal that the bioinspired nanoscrolls exhibit a wide-open tubular morphology with uniform dimensions that is structurally distinct from the previously reported ones. The detailed morphologies of the graphene-based nanosheets in each scrolling stage during lyophilization are monitored by cryo-SEM. This unravels an asymmetric polymer-induced graphene scrolling mechanism including the corresponding scrolling process, which is directly presented by molecular dynamics simulations. The fabricated PGNS sensors exhibit superior gas sensing performance with reliable repeatability, excellent linear sensibility, and, especially, an ultrahigh response ( R/ R = 5.39, 10 ppm) toward NO. The supramolecular assembly combined with the lyophilization technique to fabricate PGNS provides a strategy to design biomimetic materials for gas sensors and chemical trace detectors.

Traditional gas sensors are facing the challenge of low power consumption for future application in smart phones and wireless sensor platforms. To solve this problem, self-powered gas sensors are rapidly developed in recent years. However, all reported self-powered gas sensors are suffering from high limit of detection (LOD) toward NO 2 gas. In this work, a photovoltaic self-powered NO 2 gas sensor based on n-MoS 2 /p-GaSe heterojunction is successfully prepared by mechanical exfoliation and all-dry transfer method. Under 405 nm visible light illumination, the fabricated photovoltaic self-powered gas sensors show a significant response toward ppb-level NO 2 with short response and recovery time and high selectivity at room temperature (25°C). It is worth mentioning that the LOD toward NO 2 of this device is 20 ppb, which is the lowest of the reported self-powered room-temperature gas sensors so far. The discussed devices can be used as building blocks to fabricate more functional Internet of things devices.

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This study reports the supramolecular assembly of a silver nanoparticle-naphthalene-1-sulphonic acid-reduced graphene oxide composite (Ag-NA-rGO) and its utilization to fabricate a highly sensitive and selective gas sensor. The prepared supramolecular assembly acted not only as a non-covalent functionalization platform (π-π interaction) but was also an excellent scaffold to fabricate a highly sensitive and selective low concentration NO2 gas sensor. The prepared composites were characterized using several techniques, which revealed that the graphene sheets were dispersed as ultrathin monolayers with a uniform distribution of silver nanoparticles. The fabricated multilevel structure exhibited an excellent sensing performance, i.e. 2.8 times better, towards 10 ppm NO2 compared to the NA-rGO and rGO based sensors. Apart from its high sensitivity, superior reversibility and selectivity, the prepared supramolecular assembly exhibited an outstanding linear response over the large concentration range from 1 ppm to 10 ppm. The obtained results demonstrate that the prepared supramolecular assembly holds great potential in the fabrication of efficient and effective low-concentration NO2 gas sensors for practical applications.

In this work, we report the formation of a supramolecular assembly of graphene with a donor-π-acceptor (D-π-A) molecule to detect low concentration NO. 5-Aminonaphthalene-1-sulfonic acid (ANS) was used herein to π-π stack with reduced graphene oxide (rGO), the resulting π-conjugated bridge being linked by a donor unit (-NH) and an acceptor unit (-SOH). The prepared ANS-rGO shows the highest response (R/R = 13.2 to 10 ppm NO) so far among the reported organic molecule modified graphene materials, and excellent selectivity and reliable reversibility at room temperature. Furthermore, as revealed through the charge density difference calculation, it is the effective enhancement of charge transfer between ANS and graphene that should be responsible for the sharp improvement of NO gas response of the material. Thus, for the first time, we demonstrate that supramolecular assembly of a D-π-A molecule and graphene provides a facile and effective approach to fabrication of high performance graphene-based gas sensors.

Implementing sensitive and fast ppb-level formaldehyde sensing at room temperature is still extremely demanded for practical indoor air quality monitoring. Herein, we developed a visible-light sensitive and dipole modified graphene-based...