Fabrication, performance, and potential environmental impacts of polysaccharide-based food packaging materials incorporated with phytochemicals: A review

Wu, Yanbei; Yu, Xueling; Ding, Wei; Remón, Javier; Xin, Mengmeng; Sun, Tianjun; Wang, Thomas T.Y.; Yu, Liangli (Lucy); Wang, Jing

doi:10.1016/j.ijbiomac.2023.125922

Cited by 5 publications

(1 citation statement)

References 194 publications

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“…In another study, the film sensor contained PDL was prepared to detect indole vapors, pink or magenta color of film sensor could be observed by the naked eye. Many colorimetric sensor arrays were reported to identify various volatile organic compounds, such as bromocresol green, anthocyanins, alizarin, curcumin, and quercetin . However, tiny chromatic aberrations of colorimetric freshness indicators are imperceptible to the naked eye .…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness

Zhang,

Mujumdar

et al. 2024

ACS Appl. Mater. Interfaces

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Intelligent colorimetric freshness indicator is a lowcost way to intuitively monitor the freshness of fresh food. A colorimetric strip sensor array was prepared by p-dimethylaminocinnamaldehyde (PDL)-doped poly(vinyl alcohol) (PVA) and chitosan (Chit) for the quantitative analysis of indole, which is an indicator of shrimp freshness. As a result of indole simulation, the array strip turned from faint yellow to pink or mulberry color with the increasing indole concentration, like a progress bar. The indicator film exhibited excellent permeability, mechanical and thermal stability, and color responsiveness to indole, which was attributed to the interactions between PDL and Chit/PVA. Furthermore, the colorimetric strip sensor array provided a good relationship between the indole concentration and the color intensity within a range of 50−350 ppb. The pathogens and spoilage bacteria of shrimp possessed the ability to produce indole, which caused the color changes of the strip sensor array. In the shrimp freshness monitoring experiment, the color-changing progress of the strip sensor array was in agreement with the simulation and could distinguish the shrimp freshness levels. The image classification system based on deep learning were developed, the accuracies of four DCNN algorithms are above 90%, with VGG16 achieving the highest accuracy at 97.89%. Consequently, a "progress bar" strip sensor array has the potential to realize nondestructive, more precise, and commercially available food freshness monitoring using simple visual inspection and intelligent equipment identification.

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Section: Introductionmentioning

confidence: 99%

Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness

Zhang,

Mujumdar

et al. 2024

ACS Appl. Mater. Interfaces

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Revolutionizing Lens Technology: Chitosan and Starch in Next‐Gen Ophthalmic Lenses

Aljibori,

Shaker,

Alamiery

et al. 2023

Starch Stärke

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This comprehensive review explores the transformative impact of chitosan and starch in advancing ophthalmic lens technology. Derived from chitin, chitosan and starch‐based materials stand out for their exceptional biocompatibility, moisture retention, and optical clarity. The synergy between these biopolymers has unlocked new frontiers in lens design and coatings, promising elevated performance. The article scrutinizes their multifaceted applications, ranging from innovative lens materials to advanced coatings, while emphasizing their regulatory approvals and commitment to environmental sustainability. Chitosan and starch emerge as vanguards, ushering in a future marked by enhanced wearer comfort, optical clarity, and ecological responsibility. This review encapsulates their paramount significance, current applications, and exciting potential, portraying them as pioneers in shaping the next generation of state‐of‐the‐art ophthalmic lenses.

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Recent Advances in the Application of Edible Coatings for Shelf-Life Extension of Strawberries: A Review

Moghadas,

Smith,

Tahergorabi

2024

Food Bioprocess Technol

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Fabrication, performance, and potential environmental impacts of polysaccharide-based food packaging materials incorporated with phytochemicals: A review

Cited by 5 publications

References 194 publications

Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness

Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness

Revolutionizing Lens Technology: Chitosan and Starch in Next‐Gen Ophthalmic Lenses

Recent Advances in the Application of Edible Coatings for Shelf-Life Extension of Strawberries: A Review

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