Effect of Chitosan/Nano‐Chitosan Composite Coating on Browning and Lignification of Fresh‐Cut <scp><i>Z</i></scp><i>izania latifolia</i>

Luo, Haibo; Jiang, Li; Bao, Yiwang; Wang, Yunlong; Yu, Zhifang

doi:10.1111/jfq.12056

Cited by 16 publications

(9 citation statements)

References 25 publications

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“…Compared with that of control, samples treated with ozone showed higher L* and WI after 60 days storage. H. Luo, Jiang, Bao, et al (2013) reported that chitosan/nano‐chitosan coating significantly reduces the increasing rate of the total color difference of water bamboo shoots. UV‐C treatment were found to maintain the visual appearance, and L* and whiteness values of water bamboo shoots (Bo et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Effect of ozone treatment on lignification and postharvest quality of water bamboo shoots

Liu

Wang²,

Yang

et al. 2022

eFood

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Ozone treatment is a useful approach to maintain postharvest quality for various fruits and vegetables. In this study, the effects of ozone fumigation on lignification and postharvest quality changes in water bamboo shoots were investigated. Water bamboo shoots were respectively treated with ozone at the concentrations of 0 (control), 3, 6, 9, and 12 µl L −1 , packaged in polyethylene packing bag and stored at 2 ± 1°C for 60 days. The results showed that ozone treatment maintained the lightness, whiteness index values and retarded the lignification during storage. Water bamboo shoots treated with 9 µl L −1 ozone showed the best fruit quality and the least lignification. Ozone treatment also slowed the decrease of soluble pectin content and cellulose accumulation by inhibiting the activities of cellulase (Cx) and polygalacturonase. In addition, ozone treatment also protected cell ultrastructure. Ozone treatment could be a potential alternative for inhibiting lignification and delaying quality deterioration of water bamboo shoots during storage.

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Section: Resultsmentioning

confidence: 99%

Effect of ozone treatment on lignification and postharvest quality of water bamboo shoots

Liu

Wang²,

Yang

et al. 2022

eFood

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“…According to the literature review, cane shoots will give off characteristic gases such as NO 2 , C 2 H 5 OH, NH 3 , and H 2 S during storage (Luo et al, 2012; Luo et al, 2013). Hence, the sensor array is composed of six MOS sensors that are selected based on these characteristic gases (S1 [MQ‐138, aldehydes, ketones], S2 [MQ‐5B, propane, butane], S3 [MQ‐135, ammonia, aromatic compounds], S4 [MQ‐3, ethanol], S5 [MQ‐9B, methane, carbon monoxide], and S6 [MQ‐136, hydrogen sulfide]), The sensors obtained from HANWEI Electronics Co., Ltd., Henan, China.…”

Section: Methodsmentioning

confidence: 99%

“…Consequently, it is a primary concern to monitor the harvested cane shoot quality in the storage stage. Timely detection of cane shoots deterioration could help in eliminating ingestion (Luo, Jiang, Bao, Wang, & Yu, 2013). Heretofore, many methods have been researched for monitoring of aquatic vegetable quality, such as human sensory judgment, physical/chemical examination, and instrumentation analysis methods (Ansah, Amodio, de Chiara, & Colelli, 2018; Giovenzana, Beghi, Civelli, & Guidetti, 2015).…”

Section: Introductionmentioning

confidence: 99%

An electronic nose system for the monitoring of water cane shoots quality with swarm clustering algorithm

Zhou

Zhu

2020

Journal of Food Safety

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A fast, portable, nondestructive, and simple‐to‐operate method for determination of water cane shoot quality via an electronic nose (E‐nose) system is presented. The responses of E‐nose sensors to cane shoot samples during storage time are measured. Considering that one of the most common problems with fresh aquatic vegetables is the nearly negligible change in volatile organic compounds, a novel swarm clustering based on particle swarm optimization (SWC) algorithm is proposed to extract the effective features of the sensors responses. In SWC, the number of clusters is automatically estimated based on the neighborhood radius of the particles, which reduces the difficulty in determining the number of cluster. Traditional clustering algorithms, such as K‐means clustering (KMC) and hierarchical clustering analysis (HCA), are used for the purposes of comparison, and the changes in quality of cane shoot samples are quantitatively determined according to the hardness and pH. The results suggest that the E‐nose‐based SWC methodology is capable of accurately classifying the cane shoots freshness during the 20‐day storage time, which is much better than that of the comparative KMC and HCA methods. Additionally，quantitative analysis of the sensory evaluation, hardness, and pH is shown to have good agreement with the E‐nose system analysis results. Validation experiments show that unknown samples are successfully grouped into several different categories with a high correlation (R2 = .982) between unknown and known samples, demonstrating the potential use of E‐nose system to predict the freshness of the cane shoots.

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“…In the late stage of fruit ripening, H 2 O 2 functions as a major toxic molecule to stimulate lipid peroxidation and oxidative stress [14]. Luo et al [16] showed that browning in Z. latifolia was associated with a loss of membrane integrity, which resulted from lipid peroxidation. ROS metabolism, which is dependent on various functionally interrelated antioxidant enzymes, such as superoxide dismutase, catalase, and ascorbate peroxidase, is involved in lipid peroxidation; thus, Luo et al concluded that chitosan/nanochitosan coatings could effectively prevent the browning and lignification of cut Z. latifolia and maintain its fresh-cut color and texture for 12 days at 1°C.…”

Section: Reactive Oxygen Species Metabolism and Senescencementioning

confidence: 99%

ROS and MAPK Cascades in the Post-harvest Senescence of Horticultural Products

Gouda¹,

Zhang²,

Wang³

et al. 2020

J Proteomics Bioinform

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Plants are naturally sessile and cannot move away from adverse environmental conditions. Environmental stress may induce loss of membrane integrity, which is a seminal feature of premature senescence. Therefore, plants must respond in other ways to protect themselves from abiotic and biotic stresses that involve protein kinases, which are crucial to signal transduction pathways. Protein kinases are involved in the phosphorylation of serine/threonine and tyrosine side chains of proteins. Among these protein kinases, mitogen-activated protein kinase (MAPK) cascade genes are key components of signal transduction pathways that help transduce extracellular signals to intracellular responses in animals, plants, and fungi. Interestingly, reactive oxygen species (ROS) are important and common messengers that are produced in various biotic and abiotic stresses; ROS are known to activate many of the MAPKs. In this review, we highlight the mechanisms of crosstalk between ROS and MAPK cascades in the post-harvest senescence of horticultural products and summarize recent findings about MAPK regulation and functioning in various cellular processes. Figure 1: Response of MAPK cascades activated by ROS in biotic and abiotic stresses. MEKK1 is a common MAPKKK activated by ROS that are produced in response to both biotic and abiotic stresses. MEKK1 activates distinct downstream components of the MAPK cascade in Arabidopsis. Purple and green colors represent biotic and abiotic stresses, respectively. Gouda MHB, et al. OPEN ACCESS Freely available online J Proteomics Bioinform, Volume 13(1) 2-7 aerobic metabolism, but they are now regarded as central players in the complex signaling network of cells [5]. Gouda MHB, et al.

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Effect of Chitosan/Nano‐Chitosan Composite Coating on Browning and Lignification of Fresh‐Cut Zizania latifolia

Cited by 16 publications

References 25 publications

Effect of ozone treatment on lignification and postharvest quality of water bamboo shoots

Effect of ozone treatment on lignification and postharvest quality of water bamboo shoots

An electronic nose system for the monitoring of water cane shoots quality with swarm clustering algorithm

ROS and MAPK Cascades in the Post-harvest Senescence of Horticultural Products

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