Recent developments in nanoemulsions against spoilage in cold-stored fish: A review

Zhao, Jiaxin; Lan, Weiqing; Xie, Jing

doi:10.1016/j.foodchem.2023.136876

Cited by 7 publications

(2 citation statements)

References 109 publications

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“…Seafood, containing unsaturated fatty acids, fat-soluble vitamins (B, A, and D), and other nutrients that are beneficial to health, is increasingly appearing on people's tables. 1 However, it is highly perishable, causing the consumption of decayed seafood to cause a series of diseases such as diarrhea. As a direct indicator of seafood quality, freshness is one of the most critical aspects to ensure that the seafood is safe and meets consumer expectations.…”

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confidence: 99%

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Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Zhang,

Liang,

Liu

et al. 2024

ACS Sens.

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Reliable and real-time monitoring of seafood decay is attracting growing interest for food safety and human health, while it is still a great challenge to accurately identify the released triethylamine (TEA) from the complex volatilome. Herein, defectengineered WO 3−x architectures are presented to design advanced TEA sensors for seafood quality assessment. Benefiting from abundant oxygen vacancies, the obtained WO 2.91 sensor exhibits remarkable TEA-sensing performance in terms of higher response (1.9 times), faster response time (2.1 times), lower detection limit (3.2 times), and higher TEA/NH 3 selectivity (2.8 times) compared with the air-annealed WO 2.96 sensor. Furthermore, the definite WO 2.91 sensor demonstrates long-term stability and anti-interference in complex gases, enabling the accurate recognition of TEA during halibut decay (0−48 h). Coupled with the random forest algorithm with 70 estimators, the WO 2.91 sensor enables accurate prediction of halibut storage with an accuracy of 95%. This work not only provides deep insights into improving gas-sensing performance by defect engineering but also offers a rational solution for reliably assessing seafood quality.

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confidence: 99%

“…Seafood, containing unsaturated fatty acids, fat-soluble vitamins (B, A, and D), and other nutrients that are beneficial to health, is increasingly appearing on people’s tables . However, it is highly perishable, causing the consumption of decayed seafood to cause a series of diseases such as diarrhea.…”

mentioning

confidence: 99%

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Zhang,

Liang,

Liu

et al. 2024

ACS Sens.

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Star anise essential oil nano-emulsion: preparation, characterization, and performance research

Huang,

Peng,

Luo

et al. 2024

Food Measure

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Current trends and opportunities for packaging fishery products

Martins,

Latorres,

Fernandes

et al. 2025

Quality Analysis and Packaging of Seafood Products

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Recent developments in nanoemulsions against spoilage in cold-stored fish: A review

Cited by 7 publications

References 109 publications

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Star anise essential oil nano-emulsion: preparation, characterization, and performance research

Current trends and opportunities for packaging fishery products

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Recent developments in nanoemulsions against spoilage in cold-stored fish: A review

Cited by 7 publications

References 109 publications

Defect-Engineered WO3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Defect-Engineered WO3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Star anise essential oil nano-emulsion: preparation, characterization, and performance research

Current trends and opportunities for packaging fishery products

Contact Info

Product

Resources

About

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment

Defect-Engineered WO_3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment