Effects of ageing time on the properties of polysaccharide in tangerine peel and its bacterial community

Yue, Fangfang; Zhang, Fan; Qu, Qianwen; Wang, Chennan; Qin, Yanting; Ma, Lingling; Jia, Yuze; Ismael, Mohamedelfatieh; Jiang, Yishan; Sun, Taixiang; Lü, Xin; Wang, Xin

doi:10.1016/j.foodchem.2023.135812

Cited by 12 publications

(4 citation statements)

References 40 publications

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“…In terms of polysaccharides, the extraction rate can reach its maximum for the chenpi aged for five years and then decrease. These changes were also related to the degradation and utilisation of polysaccharides by microorganisms [21]. These results suggest that there are certain factors that may influence the individual metabolite content during the aging period.…”

Section: Introductionmentioning

confidence: 69%

“…However, considering the individual flavonoid's contents, CR10 is better, as 63/116 compounds in this class were u-accumulated compared to CR1 and 71/110 compared to CR5. Similarly, the increase in organic acids' content with aging time allows us to conclude that the longer the aging time, the better the health properties Chuan chenpi would have [10,21]. Moreover, the organic acids play important roles in metabolic processes [48], and therefore on energy metabolism [48] and possibly as antioxidant defendants [49].…”

Section: Discussionmentioning

confidence: 99%

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Metabolome Comparison of Sichuan Dried Orange Peels (Chenpi) Aged for Different Years

Zhang,

Fu,

Zhang

et al. 2024

Horticulturae

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Chuan chenpi is obtained by aging the peel of Citrus reticulata cv. ‘Dahongpao’, a traditional Chinese citrus variety. Chenpi has been used in traditional Chinese medicine since ancient times. It is believed that the longer the ripening period, the better the health properties. The composition of the metabolome of Chuan chenpi and how different aging periods affect it are not known. Current analysis was performed using Chuan chenpi aged for one (CR1), five (CR5) and ten (CR10) years. Initially, the total flavonoid and phenolic content were quantified, and then the global metabolomic profiles of CR1, CR5 and CR10 were studied. The total flavonoid and phenolic content increased significantly in CR5 compared to CR1 and then decreased in CR10. The metabolomic analyses led to the identification of 781 compounds belonging to more than 19 classes. Flavonoids and phenolic acids accounted for almost half (~48%) of the Chuan chenpi metabolome. Other major classes included amino acids (~8%), alkaloids (7.17%), organic acids (~7%), sugars (5.5%), nucleotides and derivatives (~5%), free fatty acids (3.33%) and other classes. The metabolite diversity of glycerol esters, terpenoids and stilbenes was constant during the three storage periods, whereas those of lignans, vitamins, coumarins, lipids and free fatty acids showed slight variations. The subclass distribution of phenylpropanoids, quinones, sphingolipids, and organic acids showed a decrease in diversity from CR1 to CR5, with CR10 showing a further decrease or remaining constant. Amino acids and derivatives, phenolic acids and flavonoids showed an increasing trend in the number of metabolites over the storage period. Compared to CR5, CR10 showed a higher number of differentially accumulated metabolites; in particular, flavonoids, phenolic acids and organic acids showed increased accumulation in CR10. In conclusion, the metabolome of Chuan chenpi is rich in flavonoids and phenols. Aging significantly affects the metabolome composition. Both CR5 and CR10 may be useful materials for health studies depending on the objectives of pharmacological use.

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Section: Introductionmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Metabolome Comparison of Sichuan Dried Orange Peels (Chenpi) Aged for Different Years

Zhang,

Fu,

Zhang

et al. 2024

Horticulturae

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“…Coupled with wastewater TN removal analysis, group B significantly outperformed group A (Figure 1a), which is consistent with its higher denitrifier abundance. Aerobic denitrifiers such as Thermomonas in group B were more competitive in the denitrification of biodegradable organic matter than anoxic heterotrophic denitrifiers like Thauera [37]. No significant difference in TN removal rate was observed between groups A and C, possibly because of the low gas-to-water ratio in group A, thereby restricting the nitrification process and failing to supply sufficient nitrate electron acceptors for subsequent denitrification.…”

Section: Microbial Community Diversitymentioning

confidence: 93%

Impact of Gas-to-Water Ratio on Treatment Efficiency of Submerged-Macrophyte Constructed Wetland Systems

Mao,

Lu,

Huang

et al. 2024

Water

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Constructed wetland systems employing submerged macrophytes are increasingly utilized for treating municipal and industrial wastewater, as well as odoriferous and eutrophic water bodies. However, the pollutant removal efficiency of these systems needs further enhancement. In this study, we examined the impact of the gas-to-water ratio on the treatment efficiency of the constructed wetland of Vallisneria. We also examined the extracellular polymeric substances (EPSs) of the floating biofilm and the structure of the microbial community in this system. Our findings showed that the gas-to-water ratio significantly affects the total nitrogen (TN) removal rate within the Vallisneria wetlands, with an optimum removal at a gas-to-water ratio of 15:1, while the removal efficiencies for chemical oxygen demand (COD), NH4+-N, and total phosphorus (TP) remain relatively unaffected. Increased gas-to-water ratios corresponded to a notable decrease in biofilm EPSs. High-throughput sequencing analysis demonstrated a shift in biofilm-denitrifying bacteria from anoxic heterotrophic to aerobic denitrifiers, alongside a significant rise in the abundance of denitrifying bacteria, whereas excessively high gas-to-water ratios inhibited the growth of these bacteria. A gas-to-water ratio of 15:1 constituted the optimal condition for ecological restoration of the water body within the Vallisneria wetland systems. These results could contribute to the optimization of submerged-macrophyte constructed wetland system design and the enhancement of treatment efficiency.

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“…It was found that the trnL-trnF copy number showed a negative correlation with the age of the tangerine peel. Yue et al extracted tangerine peel polysaccharides from fve diferent-age tangerine peels and proposed the relationship between tangerine peel polysaccharides and their ages [12]. But these are tedious processes and destroy the sample, afecting secondary sales.…”

Section: Related Workmentioning

confidence: 99%

CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel

Deng,

Li,

et al. 2024

Journal of Food Quality

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Xinhui tangerine peel has valuable medicinal value. The longer it is stored in an appropriate environment, the higher its flavonoid content, resulting in increased medicinal value. In order to correctly identify the age of the tangerine peel, previous studies have mostly used manual identification or physical and chemical analysis, which is a tedious and costly process. This work investigates the automatic age recognition of the tangerine peel based on deep learning and attention mechanisms. We proposed an effective ConvNeXt fusion attention module (CNFA), which consists of three parts, a ConvNeXt block for extracting low-level features’ information and aggregating hierarchical features, a channel squeeze-and-excitation (cSE) block and a spatial squeeze-and-excitation (sSE) block for generating sufficient high-level feature information from both channel and spatial dimensions. To analyze the features of tangerine peel in different ages and evaluate the performance of CNFA module, we conducted comparative experiments using the CNFA-integrated network on the Xinhui tangerine peel dataset. The proposed algorithm is compared with related models of the proposed structure and other attention mechanisms. The experimental results showed that the proposed algorithm had an accuracy of 97.17%, precision of 96.18%, recall of 96.09%, and F1 score of 96.13% for age recognition of the tangerine peel, providing a visual solution for the intelligent development of the tangerine peel industry.

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Effects of ageing time on the properties of polysaccharide in tangerine peel and its bacterial community

Cited by 12 publications

References 40 publications

Metabolome Comparison of Sichuan Dried Orange Peels (Chenpi) Aged for Different Years

Metabolome Comparison of Sichuan Dried Orange Peels (Chenpi) Aged for Different Years

Impact of Gas-to-Water Ratio on Treatment Efficiency of Submerged-Macrophyte Constructed Wetland Systems

CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel

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