Risk factor-based clustering of Listeria monocytogenes in food processing environments using principal component analysis

Nogueira, Raquel; Cabo, Marta López; García-Sanmartín, Lucía; Sánchez-Ruiloba, Lucía; Rodríguez-Herrera, Juan José

doi:10.1016/j.foodres.2023.112989

Cited by 2 publications

(1 citation statement)

References 90 publications

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“…Listeria monocytogenes (L. monocytogenes) is a Gram-positive, zoonotic pathogen with remarkable growth adaptability, causing persistent contamination in dairy products (Nogueira et al 2023;Prasad et al 2024). On account of its propensity to easily infect humans with short latent periods (Angelo et al 2016;Disson et al 2021), L. monocytogenes poses a substantial public health concern by consuming dairy products (such as milk, cheese and butter).…”

Section: Introductionmentioning

confidence: 99%

On‐site rapid detection of Listeria monocytogenes in dairy products using smartphone‐integrated device‐assisted ratiometric fluorescent sensors

Li,

Ren,

Jiao

et al. 2024

Int J of Dairy Tech

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The contamination of Listeria monocytogenes (L. monocytogenes) in dairy products poses a significant risk to human health. It is urgent to develop on‐site rapid strategy to reduce associated threats. We employed carbon dots (CDs) and silicon nanoparticles (SiNPs) as energy donors and acceptors respectively. The CDs and SiNPs were functionalised with vancomycin and aptamers correspondingly, leading to the establishment of ratiometric fluorescent sensor. With a portable smartphone‐integrated device, the ratios of blue/green values from the colour images depended on L. monocytogenes concentrations for quantification. The sensors were demonstrated for monitoring L. monocytogenes in dairy products within 30 min.

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Section: Introductionmentioning

confidence: 99%

On‐site rapid detection of Listeria monocytogenes in dairy products using smartphone‐integrated device‐assisted ratiometric fluorescent sensors

Li,

Ren,

Jiao

et al. 2024

Int J of Dairy Tech

View full text Add to dashboard Cite

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Analysis of Influencing Factors Related to Health Literacy of Diabetic Patients: A Survey Based on DHLEIS

Chen,

Wang,

Jiang

et al. 2024

Journal of Diabetes Research

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Purpose: This study is aimed at investigating health literacy (HL) among diabetes mellitus (DM) patients using a comprehensive, scientific, feasible, and suitable HL assessment indicator system tailored for the diabetic population in mainland China and systematically analyzing the factors influencing HL in this population.Methods: The Delphi expert consultation method was employed to initially draft and refine the Diabetes Health Literacy Evaluation Indicator System (DHLEIS). The reliability and representativeness of the indicator system were tested through metrics including the active coefficient, authority degree, and coordination degree. A HL survey questionnaire for diabetic patients was developed based on DHLEIS and administered to diabetic patients across five hospitals in Nantong and Yancheng cities, Jiangsu Province. The random forest method was utilized to deeply analyze the impact of various factors on HL and its four dimensions and to identify the core influencing factors.Results: Analysis of 707 questionnaires based on the DHLEIS revealed that nine factors—age, sex, body shape, income, exercise, education level, duration of DM, whether insulin is injected, and the number of cohabitants—significantly impact the HL levels. Among these, age, duration of DM, education level, and number of cohabitants were particularly influential across the four dimensions of health knowledge, awareness, behavior, and skills. Factors related to health knowledge and skills were the most significant contributors to overall HL.Conclusions: The multidimensional analysis of factors influencing HL offers valuable insights into characterizing varying levels of HL among diabetic patients. This approach supports targeted cognitive improvements and the effective enhancement of health skills, ultimately leading to better health outcomes.

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Risk factor-based clustering of Listeria monocytogenes in food processing environments using principal component analysis

Cited by 2 publications

References 90 publications

On‐site rapid detection of Listeria monocytogenes in dairy products using smartphone‐integrated device‐assisted ratiometric fluorescent sensors

On‐site rapid detection of Listeria monocytogenes in dairy products using smartphone‐integrated device‐assisted ratiometric fluorescent sensors

Analysis of Influencing Factors Related to Health Literacy of Diabetic Patients: A Survey Based on DHLEIS

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