A Listeria monocytogenes aptasensor on laser inscribed graphene for food safety monitoring in hydroponic water DOI Creative Commons
Nicholas D. Cavallaro, Geisianny Augusta Monteiro Moreira, Diana Vanegas

et al.

Discover Food, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 3, 2024

Abstract Consumption of fresh produce, such as leafy greens, is often encouraged part a healthy diet. Hence, indoor facilities for hydroponic production greens are increasingly being established. However, produce entails higher risk microbial foodborne illnesses than processed foods. Listeria monocytogenes major source contamination and among the leading causes severe in United States, with 16% mortality rate. Tools rapid monitoring needed pathogens L. to prevent outbreaks. In this manuscript, we have demonstrated feasibility multi-aptamer approach development label-free aptasensors targeting irrigation water lettuce production. We use screening studies surface plasmon resonance rationally develop mixtures relevant aptamers . Based on screening, multiple extracellular structures intact were tethered platinum-modified laser inscribed graphene electrodes. This first report biosensor based graphene. show that mixing varying affinity improves diagnostic performance over one aptamer alone complex sample matrices (lettuce water). Multi-aptamer biosensors showed high accuracy at least three times more selective Escherichia coli (Crooks, K12, O157:H7) an 85%. The limit detection (10 CFU/10 mL) data which significantly different after calibration toward or E. (Crooks) validated against gold standard molecular analysis (polymerase chain reaction). Rapid global need meet food safety quality regulations. study shows importance sensors bacterial structure samples food-water nexus.

Language: Английский

Nanomaterials in soil science for agricultural productivity and environmental sustainability DOI Creative Commons
Nikhil Kumar, Pankaj Kumar, Ramesh Chandra Dubey

et al.

Discover Environment, Journal Year: 2025, Volume and Issue: 3(1)

Published: Feb. 25, 2025

Language: Английский

Citations

0
When Will Controlled Environment Agriculture in Its Vertical Form Fulfill Its Potential? DOI Open Access

Megan Burritt,

Simone Valle de Souza,

H. Christopher Peterson

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2957 - 2957

Published: March 27, 2025

Food systems around the world are challenged to meet increased demand while also mitigating ecosystem pressures from their current structure. Controlled environment agriculture (CEA) offers a potential solution augment food supply by adopting innovative production designed overcome environmental resource limitations and efficiently serve densely populated urban areas. By utilizing Elkington’s profit, plant, people framework (3Ps), this article assesses sustainability of major subcategory CEA farms: indoor vertical farms (IA/VFs). The qualitative analysis attempts answer question whether IA/VFs have fulfilled potential. Results suggest that not yet optimized positive impact on future system sustainability. For each three Ps, IA/VF’s observed progress required breakthroughs summarized. Notably, financial viability an IA/VF is more likely be achieved through whole solutions: growing right crops in environment, efficient use resources, effective consumer targeting. Significant being made direction innovating role systems. Through public–private partnerships further analyses, can toward realizing address demands expanding population shrinking base.

Language: Английский

Citations

0
Assessing the stability of indoor farming systems using data outlier detection DOI Creative Commons

Jean Pompeo,

Zhuang Yu, Chi Zhang

et al.

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

Published: March 12, 2025

Introduction This study investigates the quality of air temperature data collected from a small-scale Controlled Environment Agriculture (CEA) system using low-cost IoT sensors during lettuce cultivation at four different temperatures. Ensuring in CEA systems is essential, as it affects stability and operational efficiency. research aims to assess by analyzing correlation between cumulative agricultural operations (Agr.Ops) variability. Methods The methodology involved collecting throughout trials. A generalized linear model regression analysis was conducted examine relationship Agr.Ops z-scores residuals, which served an indicator stability. Outliers sensor were identified analyzed evaluate their impact on performance. Residual distribution curve fitting techniques used determine best for data, with log-normal found be fit. Results Regression indicated strong inverse residual z-scores, suggesting that increased correlated higher presence outliers decrease highlighted could attributed potential issues such noise, drift, or other sources uncertainty collection. Across trials, displayed varying degrees resistance Agr.Ops, some trials showing resilience over time. Discussion alternative decomposition method effectively provided valuable insights into functionality under loads. highlights importance addressing uncertainties indoor farming improving surrogate models, refining selection, ensuring redundancy. proposed offers promising approach enhancing monitoring managing systems, contributing improved efficiency farming.

Language: Английский

Citations

0
Solar Energy Applications in Protected Agriculture: A Technical and Bibliometric Review of Greenhouse Systems and Solar Technologies DOI Creative Commons
John Javier Espitia,

Fabián Andrés Velázquez,

Jader Rodríguez Cortina

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 2791 - 2791

Published: Nov. 25, 2024

This study addresses solar energy applications in protected agriculture, focusing on greenhouses and related technologies. A bibliometric technical analysis is developed, covering research published between 1976 2024, to identify the main trends challenges use of controlled environments. The methodology was based PRISMA approach, using Scopus database retrieve relevant documents. From an initial total 221 documents, 216 were selected after a filtering debugging process, ensuring relevance final set. In analytical phase, results showed moderate growth 3.68% annual publication rate, highlighting impact energy’s application air conditioning efficiency greenhouses. Most studies reviewed feature hybrid systems that combine with other resources, we highlight both advances climate control through artificial intelligence implementation photovoltaic thermal technologies improve agricultural systems. also underline importance tomato cultivation studies, reflecting its global economic impact. conclusions need for further integration storage desalination technologies, especially arid regions high irradiation, ensure sustainability It proposed future should address wider advanced optimizing resources performance crops under cover. addition, it recommended international collaboration be strengthened climatic agriculture expand adoption innovative solutions different geographical contexts.

Language: Английский

Citations

1
Advancing vertical farming with automation for sustainable food production DOI
Senthold Asseng,

Sebastian Eichelsbacher

at - Automatisierungstechnik, Journal Year: 2024, Volume and Issue: 72(7), P. 599 - 605

Published: June 28, 2024

Abstract The increasing global population, combined with the impacts of climate change, underscores urgent need for novel food production systems. Conventional field-based agriculture strains planetary boundaries. Vertical farming (VF) emerges as a promising alternative. It enables precise manipulation growth factors, including light, temperature, humidity, and nutrient delivery, leading to higher yields superior crop quality while reducing environmental impact. Automation robotics will enhance efficiency, hydroponic techniques minimize fertilizer usage. Collaborative efforts are essential address challenges such energy consumption technology costs fully realize potential VF. aligns many Global Sustainability Goals, offering pathway towards security fostering sustainability.

Language: Английский

Citations

0
A Listeria monocytogenes aptasensor on laser inscribed graphene for food safety monitoring in hydroponic water DOI Creative Commons
Nicholas D. Cavallaro, Geisianny Augusta Monteiro Moreira, Diana Vanegas

et al.

Discover Food, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 3, 2024

Abstract Consumption of fresh produce, such as leafy greens, is often encouraged part a healthy diet. Hence, indoor facilities for hydroponic production greens are increasingly being established. However, produce entails higher risk microbial foodborne illnesses than processed foods. Listeria monocytogenes major source contamination and among the leading causes severe in United States, with 16% mortality rate. Tools rapid monitoring needed pathogens L. to prevent outbreaks. In this manuscript, we have demonstrated feasibility multi-aptamer approach development label-free aptasensors targeting irrigation water lettuce production. We use screening studies surface plasmon resonance rationally develop mixtures relevant aptamers . Based on screening, multiple extracellular structures intact were tethered platinum-modified laser inscribed graphene electrodes. This first report biosensor based graphene. show that mixing varying affinity improves diagnostic performance over one aptamer alone complex sample matrices (lettuce water). Multi-aptamer biosensors showed high accuracy at least three times more selective Escherichia coli (Crooks, K12, O157:H7) an 85%. The limit detection (10 CFU/10 mL) data which significantly different after calibration toward or E. (Crooks) validated against gold standard molecular analysis (polymerase chain reaction). Rapid global need meet food safety quality regulations. study shows importance sensors bacterial structure samples food-water nexus.

Language: Английский

Citations

0