Food Bioscience, Год журнала: 2024, Номер unknown, С. 105638 - 105638
Опубликована: Дек. 1, 2024
Язык: Английский
Journal of Molecular Structure, Год журнала: 2024, Номер 1321, С. 139830 - 139830
Опубликована: Авг. 28, 2024
Язык: Английский
Процитировано
12
ACS Sensors, Год журнала: 2024, Номер 9(9), С. 4536 - 4554
Опубликована: Сен. 16, 2024
Laser-induced graphene (LIG) and Laser-scribed (LSG) are both advanced materials with significant potential in various applications, particularly the field of sustainable sensors. The practical uses LIG (LSG), which include gas detection, biological process monitoring, strain assessment, environmental variable tracking, thoroughly examined this review paper. Its tunable characteristics distinguish is developed from accurate laser beam modulation on polymeric substrates, they essential advancing sensing technologies many applications. recent advances applications energy storage, biosensing, electronics by steadily efficiency versatility. remarkable flexibility its transformative regard to sensor manufacturing utilization highlighted manuscript. Moreover, it examines fabrication methods used production, highlighting precision adaptability. This navigates difficulties that encountered implementing sensors looks ahead future developments will propel industry forward. paper provides a comprehensive summary latest research elucidates innovative material's elements.
Язык: Английский
Процитировано
11
Agriculture, Год журнала: 2024, Номер 14(11), С. 1977 - 1977
Опубликована: Ноя. 4, 2024
Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.
Язык: Английский
Процитировано
11
Agriculture, Год журнала: 2025, Номер 15(3), С. 234 - 234
Опубликована: Янв. 22, 2025
Agricultural sustainability is becoming more and important for human health. Wireless sensing technology could provide smart monitoring in real time different parameters planting, breeding, the food supply chain with advanced sensors such as flexible sensors; wireless communication networks third-, fourth-, or fifth-generation (3G, 4G, 5G) mobile networks; artificial intelligence (AI) models. Many sustainable, natural, renewable, recycled facility energies light, wind, water, heat, acoustic, radio frequency (RF), microbe that exist actual agricultural systems be harvested by self-powered technologies devices using solar cells, electromagnetic generators (EMGs), thermoelectric (TEGs), piezoelectric (PZGs), triboelectric nanogenerators (TENGs), microbial full cells (MFCs). Sustainable energy harvesting to maximum extent possible lead creation of sustainable devices, reduce carbon emissions, result implementation precision monitoring, management, decision making production. Therefore, this article suggests proposing developing a system agriculture (SAS) would an effective way improve production efficiency while achieving green and, finally, ensuring quality safety
Язык: Английский
Процитировано
1
Food Control, Год журнала: 2025, Номер unknown, С. 111292 - 111292
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1
Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(10)
Опубликована: Окт. 1, 2024
ABSTRACT This work presents a fluorescence sensor based on nitrogen‐doped carbon dots (N‐CDs) utilized for sequential detection of Hg 2+ and TNT. The N‐CDs were produced by simple efficient hydrothermal process involving the combination black bean extract with citric acid (CA) ethylenediamine (EDA). resulting exhibit steady blue significant quantum yield 12%. We conducted thorough investigation into mechanism which NCDs is reduced in presence . Our analyses, included Stern–Volmer quenching tests, confirmed development stable complex between When NCDs‐Hg was exposed to TNT, selectively restored. “on–off–on” sensing capacity allows monitoring both demonstrating good sensitivity selectivity. has low limit (LOD) 3.1 46 nM ions TNT linear range 0–40 0–30 μM, respectively. study emphasizes potential application detecting heavy metals explosives at same time. It highlights their usefulness sophisticated environmental technologies that are suitable important applications.
Язык: Английский
Процитировано
5
Applied Physics Reviews, Год журнала: 2025, Номер 12(1)
Опубликована: Янв. 24, 2025
High-performing semiconductor thin films are crucial components in today's electronic age, finding extensive applications devices and chips. Recently, there has been a significant trend toward incorporating lanthanide elements into these films, primarily driven by the escalating demand for photonic optoelectronic applications. The featured article presents detailed overview of latest research advancements lanthanide-doped tailored uses. This comprehensive review encompasses principles, design considerations, fabrication methods, characterization techniques involved creating doped films. semiconductors discuss span range materials, including wide bandgap semiconductors, perovskites, two-dimensional piezoelectric organic materials. further explores Finally, it delves current challenges, potential solutions, future prospects, gaps that need to be addressed this exciting field.
Язык: Английский
Процитировано
0
Coordination Chemistry Reviews, Год журнала: 2025, Номер 530, С. 216480 - 216480
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
0
Frontiers in Plant Science, Год журнала: 2025, Номер 15
Опубликована: Фев. 13, 2025
Mung bean seeds are very important in agricultural production and food processing, but due to their variety similar appearance, traditional classification methods challenging, address this problem study proposes a deep learning-based approach. In study, based on the learning model MobileNetV2, DMS block is proposed for mung seeds, by introducing ECA Mish activation function, high-precision network model, i.e., HPMobileNet, proposed, which explored be applied field of image recognition fast accurate different varieties seeds. eight were collected total 34,890 images obtained threshold segmentation enhancement techniques. HPMobileNet was used as main training fine-tuning large-scale seed dataset, efficient feature extraction capabilities achieved. The experimental results show that exhibits excellent performance grain task, with accuracy improving from 87.40% 94.01% test set, compared other classical models, achieves best results. addition, analyzes impact rate dynamic adjustment strategy explores potential further optimization application future. Therefore, provides useful reference empirical basis development smart agriculture technology.
Язык: Английский
Процитировано
0
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160704 - 160704
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0