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Lang T, Hussain M, Li M, Tam NFY, Pan M, Lee FWF, Xu SJL, Jiang M, Wang Y, Mu L, Zhou H. Unlocking the structure-activity relationship of mangrove condensed and hydrolysable tannins: Unveiling their potential ecological significance in antioxidant and antibacterial functions. Int J Biol Macromol 2025; 307:141918. [PMID: 40074115 DOI: 10.1016/j.ijbiomac.2025.141918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2025] [Revised: 02/12/2025] [Accepted: 03/08/2025] [Indexed: 03/14/2025]
Abstract
Tannins play key roles in regulating ecological processes within mangrove ecosystems, but the structures of mangrove condensed tannins (CT) and hydrolysable tannins (HT), as well as their antioxidant and antibacterial activities, are not well understood. In this study, MALDI-TOF MS was used to analyze the structural components of oligomers and polymers in phenolic extracts from Kandelia obovata, Aegiceras corniculatum, and Sonneratia apetala. Results identified two primary structural units: procyanidins (PC) and prodelphinidins (PD), with mass-to-charge ratios of 288 Da and 304 Da, respectively, and a 16 Da interval indicating differences in hydroxylation. Thiolysis degradation and acidic hydrolysis, combined with HPLC-ESI-MS, revealed significant variations in the mean degree of polymerization (mDP): oligomers had mDP values of 1.1-1.2, while polymers ranged from 7.8 to 9.1. Antioxidant assays (Folin-Ciocalteu, FRAP, TEAC, and DPPH) showed that PC < PD < HT in antioxidant capacity, with polymers exhibiting stronger activity than oligomers. Antibacterial tests revealed that A. corniculatum exhibited the weakest activity, while K. obovata and S. apetala showed similar efficacy against bacteria from Actinobacteria, Bacteroidetes, and Proteobacteria. This study enhances our understanding of mangrove phenolics' structural characteristics and their ecological roles in maintaining mangrove ecosystem functions.
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Affiliation(s)
- Tao Lang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China; College of Agricultural and Food Engineering, Baise University, Baise 533000, China; Greater Bay Area Mangrove Wetland Research & Development Centre, Guangdong Neilingding Futian National Nature Reserve, Shenzhen 518040, China; Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China
| | - Muzammil Hussain
- College of Agricultural and Food Engineering, Baise University, Baise 533000, China
| | - Mingdang Li
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China; Greater Bay Area Mangrove Wetland Research & Development Centre, Guangdong Neilingding Futian National Nature Reserve, Shenzhen 518040, China
| | - Nora Fung-Yee Tam
- Greater Bay Area Mangrove Wetland Research & Development Centre, Guangdong Neilingding Futian National Nature Reserve, Shenzhen 518040, China; School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong 999077, China; State Key Laboratory in Marine Pollution and Department of Chemistry, City University of Hong Kong, Kowloon, Hong Kong 999077, China
| | - Min Pan
- School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong 999077, China
| | - Fred Wang-Fat Lee
- School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong 999077, China
| | - Steven Jing-Liang Xu
- School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong 999077, China
| | - Mingguo Jiang
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China
| | - Yibing Wang
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China
| | - Lin Mu
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Haichao Zhou
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China; Greater Bay Area Mangrove Wetland Research & Development Centre, Guangdong Neilingding Futian National Nature Reserve, Shenzhen 518040, China.
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Shen X, Xing L, Pan L, Miao Y, Zhang W. Prediction of chicken breast meat freshness based on hyperspectral imaging technique and high-throughput sequencing. Poult Sci 2025; 104:104999. [PMID: 40081174 PMCID: PMC11951181 DOI: 10.1016/j.psj.2025.104999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 03/03/2025] [Accepted: 03/05/2025] [Indexed: 03/15/2025] Open
Abstract
In this article, the hyperspectral imaging technique and the high-throughput sequencing were combined to construct prediction models for the freshness of chicken breast meat. The quality indicators including color, pH, TVC, TVB-N and TBARS were measured to reflect the freshness changes of chicken breast meat under 4 ℃ storage. Meanwhile, spectral images of chicken breast meat were obtained using visible near-infrared (400-1,000 nm) hyperspectral imaging. Through high-throughput sequencing, the major spoilage bacteria including Pseudomonas, Brochothrix and Escherichia were screened out to construct the models for predicting chicken freshness. After spectral preprocessing and characteristic wavelength selection, the prediction models were established using partial least squares regression (PLSR) and support vector machine (SVM). Among the models, the SNV-PLSR model based on characteristic wavelength for Pseudomonas content (Rp2=0.84, RMSEP=0.38, RPD=3.79) posed stronger predictive and generalization abilities. Therefore, the Pseudomonas count was chosen as a characteristic indicator for establishing an HSI-based prediction model to reflect the freshness of chicken breast meat.
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Affiliation(s)
- Xingyu Shen
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, MOE; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control
| | - Lujuan Xing
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, MOE; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control
| | - Leiqing Pan
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China, 210095
| | - Yujia Miao
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, MOE; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control
| | - Wangang Zhang
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, MOE; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control.
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Zhang Y, Li K, Ru Y, Ma Y. Biofilm Compositions and Bacterial Diversity on Kitchen Towels in Daily Use. Microorganisms 2025; 13:97. [PMID: 39858865 PMCID: PMC11767729 DOI: 10.3390/microorganisms13010097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 12/23/2024] [Accepted: 12/27/2024] [Indexed: 01/27/2025] Open
Abstract
Towels with complex woven structures are susceptible to biofilm formation during daily use. The composition of biofilms formed on towels used under real-life conditions has yet to be studied. Thus, we investigated the color changes, structural integrity, and biofilm development on towels used continuously for 10 weeks by 12 volunteers in specific kitchen environments. Apparent biofilms composed of bacteria and extracellular polymeric substances (EPSs) were found on all used towels. The bacteria concentrations ranged from 4 to 7 log CFU/g. Proteins were the most abundant EPS, followed by polysaccharides and eDNA. A high-throughput sequencing method was employed to investigate the bacterial diversity on the towels. The predominant bacterial genera differed from towel to towel. Kocuria, Rothia, Psychrobacter, Enhydrobacter, and Pseudomonas are genera of relatively high abundance that may originate from the human body and foods. In addition, correlations among environmental factors, major bacterial genera, physical properties, and biofilm formation of the towels were analyzed, which could provide a scientific reference for maintaining towel hygiene.
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Affiliation(s)
| | | | | | - Yue Ma
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; (Y.Z.); (K.L.); (Y.R.)
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Yi Z, Xiao X, Cai W, Ding Z, Ma J, Lv W, Yang H, Xiao Y, Wang W. Unraveling the spoilage characteristics of refrigerated pork using high-throughput sequencing coupled with UHPLC-MS/MS-based non-targeted metabolomics. Food Chem 2024; 460:140797. [PMID: 39128367 DOI: 10.1016/j.foodchem.2024.140797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 07/24/2024] [Accepted: 08/06/2024] [Indexed: 08/13/2024]
Abstract
The spoilage of refrigerated pork involves nutrient depletion and the production of spoilage metabolites by spoilage bacteria, yet the microbe-metabolite interactions during this process remain unclear. This study employed 16S rRNA high-throughput sequencing and non-targeted metabolomics based on ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) to reveal the core microbiota and metabolite profiles of pork during refrigeration. A total of 45 potential biomarkers were screened through random forest model analysis. Metabolic pathway analysis indicated that eleven pathways, including biogenic amine metabolism, pentose metabolism, purine metabolism, pyrimidine metabolism, phospholipid metabolism, and fatty acid degradation, were potential mechanisms of pork spoilage. Correlation analysis revealed nine metabolites-histamine, tyramine, tryptamine, D-gluconic acid, UDP-d-glucose, xanthine, glutamine, phosphatidylcholine, and hexadecanoic acid-as spoilage biomarkers, with Pseudomonas, Serratia, and Photobacterium playing significant roles. This study provides new insights into the changes in microbial and metabolic characteristics during the spoilage of refrigerated pork.
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Affiliation(s)
- Zhengkai Yi
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xingning Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Wei Cai
- College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430048, China
| | - Zhaoyang Ding
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Marine Biomedical Science and Technology Innovation Platform of Lin-gang Special Area, Shanghai 201306, China
| | - Jiele Ma
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Wentao Lv
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Hua Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yingping Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Wen Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-Products (Hangzhou), Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
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Xiao X, He M, Ma L, Lv W, Huang K, Yang H, Li Y, Zou L, Xiao Y, Wang W. Insights into microbial contamination and antibiotic resistome traits in pork wholesale market: An evaluation of the disinfection effect of sodium hypochlorite. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133811. [PMID: 38382341 DOI: 10.1016/j.jhazmat.2024.133811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/06/2024] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
Abstract
Chlorine and its derivatives, such as sodium hypochlorite (NaClO) and chlorine dioxide, are frequently employed as disinfectants throughout the pork supply chain in China. Nevertheless, the extensive use of NaClO has the potential to cause the creation of 'chlorine-tolerant bacteria' and accelerate the evolution of antibiotic resistance. This study evaluated the efficacy of NaClO disinfection by examining alterations in the microbiome and resistome of a pork wholesale market (PWM), and bacteria isolation and analysis were performed to validate the findings. As expected, the taxonomic compositions of bacteria was significantly different before and after disinfection. Notably, Salmonella enterica (S. enterica), Salmonella bongori (S. bongori), Escherichia coli (E. coli), Klebsiella pneumoniae (K. pneumoniae), and Pseudomonas aeruginosa (P. aeruginosa) were observed on all surfaces, indicating that the application of NaClO disinfection treatment in PWM environments for pathogenic bacteria is limited. Correlations were identified between antibiotic resistance genes (ARGs) associated with aminoglycosides (aph(3'')-I, aph(6')-I), quinolone (qnrB, abaQ), polymyxin (arnA, mcr-4) and disinfectant resistance genes (emrA/BD, mdtA/B/C/E/F). Furthermore, correlations were found between risk Rank I ARGs associated with aminoglycoside (aph(3')-I), tetracycline (tetH), beta_lactam (TEM-171), and disinfectant resistance genes (mdtB/C/E/F, emrA, acrB, qacG). Importantly, we found that Acinetobacter and Salmonella were the main hosts of disinfectant resistance genes. The resistance mechanisms of the ARGs identified in PWM were dominated by antibiotic deactivation (38.7%), antibiotic efflux (27.2%), and antibiotic target protection (14.4%). The proportion of genes encoding efflux pumps in the PWM resistome increased after disinfection. Microbial cultures demonstrated that the traits of microbial contamination and antibiotic resistane were consistent with those observed by metagenomic sequencing. This study highlights the possibility of cross-resistance between NaClO disinfectants and antibiotics, which should not be ignored.
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Affiliation(s)
- Xingning Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Miao He
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China; College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
| | - Lingyan Ma
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Wentao Lv
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Kang Huang
- Biological Systems Engineering, Washington State University, Pullman, USA
| | - Hua Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yanbin Li
- Department of Biological & Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Likou Zou
- College of Resources and Environment, Sichuan Agricultural University, Chengdu, China.
| | - Yingping Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
| | - Wen Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, MOA Laboratory of Quality & Safety Risk Assessment for Agro-products (Hangzhou), Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
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