Surface Plasmon Resonance Analysis of Food Toxins and Toxicants

Vezočnik, Valerija; Hodnik, Vesna; Anderluh, Gregor

doi:10.1002/9781118992685.ch7

Cited by 3 publications

(1 citation statement)

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“…Besides, the monitoring, control, and maintaining of the quality of food during its transportation from producer to consumer is another important issue. Different analytical methods for food quality control, such as the liquid chromatography-mass spectrometry [1], and surface plasmon resonance [2], have been applied. However, the aforementioned techniques have several limitations.…”

Section: Introductionmentioning

confidence: 99%

Metal Oxide Nanostructures in Food Applications: Quality Control and Packaging

et al. 2018

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Metal oxide materials have been applied in different fields due to their excellent functional properties. Metal oxides nanostructuration, preparation with the various morphologies, and their coupling with other structures enhance the unique properties of the materials and open new perspectives for their application in the food industry. Chemical gas sensors that are based on semiconducting metal oxide materials can detect the presence of toxins and volatile organic compounds that are produced in food products due to their spoilage and hazardous processes that may take place during the food aging and transportation. Metal oxide nanomaterials can be used in food processing, packaging, and the preservation industry as well. Moreover, the metal oxide-based nanocomposite structures can provide many advantageous features to the final food packaging material, such as antimicrobial activity, enzyme immobilization, oxygen scavenging, mechanical strength, increasing the stability and the shelf life of food, and securing the food against humidity, temperature, and other physiological factors. In this paper, we review the most recent achievements on the synthesis of metal oxide-based nanostructures and their applications in food quality monitoring and active and intelligent packaging.

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Section: Introductionmentioning

confidence: 99%