Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis

Liu, Zhe; Wang, Shuzhe; Zhang, Yudong; Feng, Yichen; Li, Jiajia; Zhu, Hengde

doi:10.3390/foods12061242

Cited by 31 publications

(20 citation statements)

References 205 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The largest cluster of journals was led by Food Chemistry with the highest numbers of publications. This preriqucites correspond with 53 [ 53 ] in the bibliometric analysis of food safety using artificial intelligence (AI). Food Chemistry is one of the most productive journals in this research section aforementioned in Table 1 .…”

Section: Discussionsupporting

confidence: 70%

Thermal and non-thermal pasturization of citrus fruits: a bibliometrics analysis

Olaoye,

Oladele,

Badmus

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 70%

Thermal and non-thermal pasturization of citrus fruits: a bibliometrics analysis

Olaoye,

Oladele,

Badmus

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…Food safety systems are deployed to monitor food production, processing, and distribution to prevent foodborne illnesses. These systems track outbreaks of foodborne illness and identify the sources of contamination, allowing officials to take action to prevent future outbreaks [103].…”

Section: Food Safetymentioning

confidence: 99%

Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

View full text Add to dashboard Cite

As the world becomes increasingly urbanized, the development of smart cities and the deployment of IoT applications will play an essential role in addressing urban challenges and shaping sustainable and resilient urban environments. However, there are also challenges to overcome, including privacy and security concerns, and interoperability issues. Addressing these challenges requires collaboration between governments, industry stakeholders, and citizens to ensure the responsible and equitable implementation of IoT technologies in smart cities. The IoT offers a vast array of possibilities for smart city applications, enabling the integration of various devices, sensors, and networks to collect and analyze data in real time. These applications span across different sectors, including transportation, energy management, waste management, public safety, healthcare, and more. By leveraging IoT technologies, cities can optimize their infrastructure, enhance resource allocation, and improve the quality of life for their citizens. In this paper, eight smart city global models have been proposed to guide the development and implementation of IoT applications in smart cities. These models provide frameworks and standards for city planners and stakeholders to design and deploy IoT solutions effectively. We provide a detailed evaluation of these models based on nine smart city evaluation metrics. The challenges to implement smart cities have been mentioned, and recommendations have been stated to overcome these challenges.

show abstract

“…A study of 35 US peanut cultivars using antisera from allergic patients also found no significant variation (Dodo et al., 2002; Isleib & Wynne., 1992). However, rapid and easy phenotyping methods for different allergens are required to increase the efficiency of breeding reduced allergen crops (Liu et al., 2023).…”

Section: Phenomics and Omics Approaches To Reducing Allergensmentioning

confidence: 99%

“…Traditional methods for identifying food allergens mostly rely on in vivo and in vitro experiments, which can be time consuming and uneconomical. However, artificial intelligence (AI) and bioinformatics have the potential to significantly reduce plant food allergens by aiding in the identification of specific allergenic proteins in plants as well as the development of novel methods to modify or remove allergens from food products (Liu et al., 2023). AI in allergy and immunology has various potential therapeutic applications ranging from disease diagnosis to multidimensional data reduction in electronic health records or immunologic datasets (Khoury et al., 2022).…”

Section: Phenomics and Omics Approaches To Reducing Allergensmentioning

confidence: 99%

Prospects for developing allergen‐depleted food crops

Lokya,

Parmar,

Pandey

et al. 2023

The Plant Genome

View full text Add to dashboard Cite

In addition to the challenge of meeting global demand for food production, there are increasing concerns about food safety and the need to protect consumer health from the negative effects of foodborne allergies. Certain bio‐molecules (usually proteins) present in food can act as allergens that trigger unusual immunological reactions, with potentially life‐threatening consequences. The relentless working lifestyles of the modern era often incorporate poor eating habits that include readymade prepackaged and processed foods, which contain additives such as peanuts, tree nuts, wheat, and soy‐based products, rather than traditional home cooking. Of the predominant allergenic foods (soybean, wheat, fish, peanut, shellfish, tree nuts, eggs, and milk), peanuts (Arachis hypogaea) are the best characterized source of allergens, followed by tree nuts (Juglans regia, Prunus amygdalus, Corylus avellana, Carya illinoinensis, Anacardium occidentale, Pistacia vera, Bertholletia excels), wheat (Triticum aestivum), soybeans (Glycine max), and kidney beans (Phaseolus vulgaris). The prevalence of food allergies has risen significantly in recent years including chance of accidental exposure to such foods. In contrast, the standards of detection, diagnosis, and cure have not kept pace and unfortunately are often suboptimal. In this review, we mainly focus on the prevalence of allergies associated with peanut, tree nuts, wheat, soybean, and kidney bean, highlighting their physiological properties and functions as well as considering research directions for tailoring allergen gene expression. In particular, we discuss how recent advances in molecular breeding, genetic engineering, and genome editing can be used to develop potential low allergen food crops that protect consumer health.

show abstract

Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis

Cited by 31 publications

References 205 publications

Thermal and non-thermal pasturization of citrus fruits: a bibliometrics analysis

Thermal and non-thermal pasturization of citrus fruits: a bibliometrics analysis

Global Models of Smart Cities and Potential IoT Applications: A Review

Prospects for developing allergen‐depleted food crops

Contact Info

Product

Resources

About