Nanotechnology in food safety DOI
Łukasz Łopusiewicz, Adrian Augustyniak, Szymon Macieja

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 159 - 189

Published: Nov. 29, 2024

Language: Английский

Advancements in food quality monitoring: integrating biosensors for precision detection DOI Creative Commons
Soumitra Nath

Sustainable Food Technology, Journal Year: 2024, Volume and Issue: 2(4), P. 976 - 992

Published: Jan. 1, 2024

The integration of advanced biosensors enhances the detection contaminants in food. This approach addresses challenges related to sensitivity, specificity, and environmental factors, ensuring food safety quality.

Language: Английский

Citations

15

Review of Noble Metal Nanoparticle-Based Colorimetric Sensors for Food Safety Monitoring DOI
Linda Ardita Putri,

Yuliyan Dwi Prabowo,

Diva Meisya Maulina Dewi

et al.

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: 7(17), P. 19821 - 19853

Published: Aug. 16, 2024

Food safety, particularly concerning foods contaminated by toxic chemicals, has emerged as a pervasive societal concern. The prevalence of food contaminants spurred both scientific communities and industries to develop highly sensitive selective sensors for rapid precise authentication. Noble metal nanoparticles (NPs) have garnered significant attention in this regard due their exceptional properties, including high sensitivity, selectivity, stability, target binding affinity, versatility modification detect specific contaminants. Moreover, the readout such is relatively straightforward, resulting color change can be observed with naked eye. This Review aims delve into current strategies involving various noble NPs colorimetric nanosensors safety monitoring applications. It begins elucidating working principles, encompassing localized surface plasmon resonance (LSPR), enzyme-based approaches, other methodologies. Subsequently, material properties commonly utilized NPs, those gold, silver, palladium, platinum, copper, are meticulously examined, providing comprehensive overviews benefits drawbacks associated each material. Furthermore, summarizes latest use cases diverse applications, ranging from detection heavy veterinary pesticide drug residues foodborne pathogens. Lastly, it addresses remaining challenges field proposes feasible solutions, offering insights future research directions.

Language: Английский

Citations

11

Green synthesis and characterization of silver nanoparticles using grape stalk extract DOI

Rosa M. De La Cruz-Puma,

Jaime Vega‐Chacón, Victor Raúl Jauja-Ccana

et al.

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 403, P. 124927 - 124927

Published: May 4, 2024

Language: Английский

Citations

8

Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep Learning DOI
Zejun Wang, Shihao Zhang, Yaping Chen

et al.

Food Control, Journal Year: 2024, Volume and Issue: unknown, P. 110890 - 110890

Published: Sept. 1, 2024

Language: Английский

Citations

5

Strategies for Achieving High and Sustainable Plant Productivity in Saline Soil Conditions DOI Creative Commons
Zhadyrassyn Nurbekova, Mereke Satkanov,

M. Beisekova

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(8), P. 878 - 878

Published: Aug. 20, 2024

The accumulation of salt in arable lands is a source significant abiotic stress, contributing to 10% decline the world’s total and threatening food productivity sustainability agriculture. About 76 million hectares productive land are estimated have been affected by human-induced salinization such as extreme deposits soil, which mainly caused actions humans. For instance, continued irrigation frequent use chemical fertilizers need be understood. To ensure availability, it essential improve upon traditional farming methods using current technologies facilitate reclamation saline-affected achieve high sustainable production. This review details innovative strategies modification metabolic pathways, manipulation antioxidant genetic engineering, RNA interference technology, engineered nanoparticles, arbuscular mycorrhizal fungi (AMF), organic amendments, trace elements for improving saline marginal lands. These were identified contributed improvement plants salinity tolerance diverse ways. plant metabolites amino acids, sugars, polyols, saponins, anthocyanins, polyphenols, tannins detoxify play crucial roles mitigating detrimental effects oxidative damage posed stress. Multiple miRNAs encoding up- down-regulation single- multi-ion transporters species enhance tolerance. Nanomaterials root system colonized increase water uptake, photosynthetic efficiency, biomass allocation exposed stress excluding 65 percent Na+ uptake enhancing K+ 84.21 percent. Organic amendments reduced concentrations 22 improved growth up 84 maize subjected study also discusses how researchers can these growth, development, survival soil conditions discussed this proven promising approaches developing agricultural sustainability.

Language: Английский

Citations

4

Progressive Analytical Techniques Utilized for the Detection of Contaminants Attributed to Food Safety and Security DOI Creative Commons

Anjali Bharti,

Utkarsh Jain, Nidhi Chauhan

et al.

Talanta Open, Journal Year: 2024, Volume and Issue: unknown, P. 100368 - 100368

Published: Oct. 1, 2024

Language: Английский

Citations

4

Integrating AI in Food Contaminant Analysis: Enhancing Quality and Environmental Protection DOI Creative Commons
Kuppusamy Sathishkumar, Meivelu Moovendhan‬‬‬‬‬‬‬‬,

Loganathan Praburaman

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100509 - 100509

Published: Oct. 1, 2024

Language: Английский

Citations

4

AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance DOI Creative Commons
Kushagra Agrawal,

Polat Goktas,

M. Holtkemper

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: March 13, 2025

This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and enhancing sustainability. review follows a literature approach, synthesizing findings from peer-reviewed studies published between 2019 2024. A structured methodology was employed, including database searches inclusion/exclusion criteria assess AI applications manufacturing. By leveraging predictive analytics, real-time monitoring, computer vision, streamlines workflows, minimizes environmental footprints, ensures product consistency. The examines AI-driven solutions for waste reduction through data-driven modeling circular economy practices, aligning industry with global sustainability goals. Additionally, it identifies key barriers adoption—including infrastructure limitations, ethical concerns, economic constraints—and proposes strategies overcoming them. highlight necessity cross-sector collaboration among stakeholders, policymakers, technology developers fully harness AI's potential building resilient sustainable ecosystem.

Language: Английский

Citations

0

Challenges and Regulatory Aspects of Nanomaterials in Food Products DOI

Kiruthiga Karunamoorthy,

A. Thomas,

Ashok Ramasamy Murali

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Understanding the silver nanotoxicity: mechanisms, risks, and mitigation strategies DOI
Muhammad Faran Akhtar, Muhammad Sultan Irshad, Shaukat Ali

et al.

Journal of Nanoparticle Research, Journal Year: 2025, Volume and Issue: 27(4)

Published: March 25, 2025

Language: Английский

Citations

0