Antimicrobial Synergy Interaction of Microalgae and Nisin to Improve Ice Cream Shelf Life and Retaining Quality DOI
Diaa A. Marrez, Mohamed F. El-ssayad, Abdulrhman S. Shaker

et al.

Food Bioscience, Journal Year: 2024, Volume and Issue: unknown, P. 105638 - 105638

Published: Dec. 1, 2024

Language: Английский

Next generation MXene based materials for Electrochemical Sensor: A critical review DOI
Sultan Ullah, Muhammad Altaf Nazir,

Muhammad Adnan Saeed

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1321, P. 139830 - 139830

Published: Aug. 28, 2024

Language: Английский

Citations

12

Laser-Induced Graphene for Advanced Sensing: Comprehensive Review of Applications DOI
Sikandar Aftab, Ganesh Koyyada, Maria Mukhtar

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4536 - 4554

Published: Sept. 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.

Language: Английский

Citations

11

Neuromorphic Computing for Smart Agriculture DOI Creative Commons
Siyi Lu, Xinqing Xiao

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977

Published: Nov. 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.

Language: Английский

Citations

11

Sustainable Agriculture with Self-Powered Wireless Sensing DOI Creative Commons
Xinqing Xiao

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 234 - 234

Published: Jan. 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

Language: Английский

Citations

1

The Role of Artificial Intelligence in Advancing Food Safety: A Strategic Path to Zero Contamination DOI
Sobia Naseem, Muhammad Rizwan

Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111292 - 111292

Published: March 1, 2025

Language: Английский

Citations

1

Sequential Detection of Hg2+ and TNT Using a Nitrogen‐Doped Polymeric Carbon Dots On–Off–On Fluorescence Sensor DOI
K. Radhakrishnan,

R. Suriyaprakash,

S. Shunmugakani

et al.

Polymers for Advanced Technologies, Journal Year: 2024, Volume and Issue: 35(10)

Published: Oct. 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.

Language: Английский

Citations

5

Lanthanide doped semiconductor thin films for photonic and optoelectronic applications DOI
Jiawen Wang, Lihui Huang, Shenghuang Lin

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 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.

Language: Английский

Citations

0

Recent advances in reactive small-molecule fluorescent probes for food safety DOI

Nan Wang,

Lina Zhang, Jun Li

et al.

Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 530, P. 216480 - 216480

Published: Feb. 5, 2025

Language: Английский

Citations

0

Rapid and accurate classification of mung bean seeds based on HPMobileNet DOI Creative Commons

Shaozhong Song,

Zhenyang Chen,

Helong Yu

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 15

Published: Feb. 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.

Language: Английский

Citations

0

Modulating hybridization of Cu d-Band center through one-step configuration of ternary copper atom in engineering a non-self-limited nanozyme for food safety DOI
Aori Qileng, Shi‐Zhang Chen,

Hongzhi Liang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160704 - 160704

Published: Feb. 1, 2025

Language: Английский

Citations

0