1. Impact of pulsed light processing technology on phenolic compounds of fruits and vegetables
- Author
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Márcio Vargas-Ramella, Wangang Zhang, Daniel Franco, Yolanda Guerrero-Sánchez, José M. Lorenzo, Amin Mousavi Khaneghah, Mirian Pateiro, and Mohsen Gavahian
- Subjects
0106 biological sciences ,Food industry ,business.industry ,Food preservation ,04 agricultural and veterinary sciences ,040401 food science ,01 natural sciences ,Light flashes ,0404 agricultural biotechnology ,Healthy food ,010608 biotechnology ,Fruits and vegetables ,Browning ,Environmental science ,Food science ,Treatment time ,business ,Food Science ,Biotechnology - Abstract
Background Pulsed light (PL) as a promising non-thermal technology for food preservation can be used to decontaminate, preserve or enhance the nutritional and sensorial quality of food. However, data about the impacts of this emerging technique on phenolic compounds are controversial, and more information about the effects of processing parameters and proper mechanism adjustments are needed. Scope and approach PL can modify the phenolic profile of fruits and vegetables. Depending on PL technology utilized, applications can cause overheating or intensify reactions that result in the degradation of these compounds and/or the enzymes, leading to appearance of undesirable effects such as browning, discoloration, and oxidation. As well, conventional thermal processing decontaminates food at the cost of hampering nutritional value. In line with this, considering that an increasing number of consumers are demanding natural, nutritional, and healthy food in the last years, 21st century has led many researchers and the food industry to develop non-thermal processes for food preservation. Therefore, this review aimed to summarize the effects of PL treatments for maintaining or enhancing the nutritional profile of phenolic-rich foods such as fruits and vegetables. Key findings and conclusions The effects of PL treatment on phenolic compounds were evaluated based on the equipment parameters optimization such as fluency, the number of flashes, the voltage applied, the distance between sample and lamps, the spectral range of light flashes, the treatment time, the type of sample, and the type of phenolics (total phenolic content, chemical families, and individual phenolics).
- Published
- 2021