Yaqin Zheng, Z. Liu, Hui Wang, Wenna Zhang, Shuaijie Li, Meng Xu
The work intended to identify candidate C2H2 genes participated in Low-temperature conditioning (LTC) -alleviated postharvest chilling injury of peach fruit. For LTC treatment, fruit were pre-stored at 10 oC for 5 d, and then transferred to 0 oC storage. Fruit firmness was measured by the hardness tester. H2O2 content was determined by luminosity measurement model using the multifunctional enzyme labeler. Identification of C2H2 family members was performed by HMMSCAN according to peach genome. Cis-acting element of gene promoters was analyzed using the Plant CARE website. WGCNA analysis was performed by WGCNA package in BMK Cloud platform. LTC treatment decreased flesh browning rate and H2O2 production of ‘Beijing No.9’ peach. Transcription factors identification of DEGs in 0 oC and LTC treatment indicated peach C2H2 participated the regulation of chilling injury. A total of 47 C2H2 genes were identified based on peach genome. qRT-PCR, phylogenetic analysis and promoter cis-acting element analysis revealed ZFP21 was involved in the regulation of LTC-alleviated chilling injury in peach. Weighted gene co-expression network analysis and dual luciferase assay suggested ZFP21 participated in LTC-alleviated chilling injury by down-regulating the expression of ROS-related genes Rboh. Our investigation, based on genome and RNA-seq, unveiled that ZFP21 was involved in LTC treatment-alleviated chilling injury of peach fruit. This work is useful for the identification of peach cold tolerance-related genes and the study of C2H2 family in peach.
{"title":"Transcriptome and genome analysis to identify C2H2 genes participated in Low temperature conditioning-alleviated postharvest chilling injury of peach fruit","authors":"Yaqin Zheng, Z. Liu, Hui Wang, Wenna Zhang, Shuaijie Li, Meng Xu","doi":"10.1093/fqsafe/fyac059","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac059","url":null,"abstract":"\u0000 \u0000 \u0000 The work intended to identify candidate C2H2 genes participated in Low-temperature conditioning (LTC) -alleviated postharvest chilling injury of peach fruit.\u0000 \u0000 \u0000 \u0000 For LTC treatment, fruit were pre-stored at 10 oC for 5 d, and then transferred to 0 oC storage. Fruit firmness was measured by the hardness tester. H2O2 content was determined by luminosity measurement model using the multifunctional enzyme labeler. Identification of C2H2 family members was performed by HMMSCAN according to peach genome. Cis-acting element of gene promoters was analyzed using the Plant CARE website. WGCNA analysis was performed by WGCNA package in BMK Cloud platform.\u0000 \u0000 \u0000 \u0000 LTC treatment decreased flesh browning rate and H2O2 production of ‘Beijing No.9’ peach. Transcription factors identification of DEGs in 0 oC and LTC treatment indicated peach C2H2 participated the regulation of chilling injury. A total of 47 C2H2 genes were identified based on peach genome. qRT-PCR, phylogenetic analysis and promoter cis-acting element analysis revealed ZFP21 was involved in the regulation of LTC-alleviated chilling injury in peach. Weighted gene co-expression network analysis and dual luciferase assay suggested ZFP21 participated in LTC-alleviated chilling injury by down-regulating the expression of ROS-related genes Rboh.\u0000 \u0000 \u0000 \u0000 Our investigation, based on genome and RNA-seq, unveiled that ZFP21 was involved in LTC treatment-alleviated chilling injury of peach fruit. This work is useful for the identification of peach cold tolerance-related genes and the study of C2H2 family in peach.\u0000","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44573522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianhong Ke, Rui Wang, Bangqian Song, Jinglun Du, Xiaojiao Li, Ningning Song, Z. Cai, Ron-Shan Chen, Honghua Yi, Xiangyin Lu, C. Jiang, Zheng-guo Li, Baowen Huang
Maize is an essential source of nutrition for humans and animals, which is rich in various metabolites and determine its quality. Different maize varieties show significant differences in metabolite content. Two kinds of waxy maize parental materials, S181 and 49B, created by the Chongqing Academy of Agricultural Sciences, are widely grown in China. S181 shows higher starch and sugar contents than 49B. This study generated metabolic profiles to assess the differences between the two varieties. A total of 674 metabolites that were significantly differentially expressed between the two varieties were identified by gas chromatography and untargeted metabolomics technology. These metabolites were associated with 21 categories, including antioxidant metabolites. Moreover, 6415 differentially expressed genes (DEGs) were identified by RNA-seq. Interestingly, these DEGs comprised starch and sugar synthesis pathway genes and 72 different transcription factor families. Of these, 6 families which were reported to play an essential role in plant antioxidant action accounted for 39.2% of the transcription factor families. Using the KEGG classification, the DEGs were mainly involved in amino acid biosynthesis, glycolysis/glucose metabolism, and the synthetic and metabolic pathways of antioxidant active substances. Furthermore, the correlation analysis of transcriptome and metabonomics identified five key transcription factors(ZmbHLH172, ZmNAC44, ZmNAC-like18, ZmS1FA2, ZmERF172, one ubiquitin ligase gene(ZmE2 5A) and one sucrose synthase gene(ZmSS1). They likely contribute to the quality traits of waxy corn through involvement in the metabolic regulatory network of antioxidant substances. Thus, our results provide new insights into maize quality-related antioxidant metabolite networks and have potential applications for waxy corn breeding.
{"title":"Combinatorial Analysis of Transcription and Metabolism Reveals the Regulatory Network Associated with Antioxidant Substances in Waxy Corn","authors":"Jianhong Ke, Rui Wang, Bangqian Song, Jinglun Du, Xiaojiao Li, Ningning Song, Z. Cai, Ron-Shan Chen, Honghua Yi, Xiangyin Lu, C. Jiang, Zheng-guo Li, Baowen Huang","doi":"10.1093/fqsafe/fyac058","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac058","url":null,"abstract":"\u0000 Maize is an essential source of nutrition for humans and animals, which is rich in various metabolites and determine its quality. Different maize varieties show significant differences in metabolite content. Two kinds of waxy maize parental materials, S181 and 49B, created by the Chongqing Academy of Agricultural Sciences, are widely grown in China. S181 shows higher starch and sugar contents than 49B. This study generated metabolic profiles to assess the differences between the two varieties. A total of 674 metabolites that were significantly differentially expressed between the two varieties were identified by gas chromatography and untargeted metabolomics technology. These metabolites were associated with 21 categories, including antioxidant metabolites. Moreover, 6415 differentially expressed genes (DEGs) were identified by RNA-seq. Interestingly, these DEGs comprised starch and sugar synthesis pathway genes and 72 different transcription factor families. Of these, 6 families which were reported to play an essential role in plant antioxidant action accounted for 39.2% of the transcription factor families. Using the KEGG classification, the DEGs were mainly involved in amino acid biosynthesis, glycolysis/glucose metabolism, and the synthetic and metabolic pathways of antioxidant active substances. Furthermore, the correlation analysis of transcriptome and metabonomics identified five key transcription factors(ZmbHLH172, ZmNAC44, ZmNAC-like18, ZmS1FA2, ZmERF172, one ubiquitin ligase gene(ZmE2 5A) and one sucrose synthase gene(ZmSS1). They likely contribute to the quality traits of waxy corn through involvement in the metabolic regulatory network of antioxidant substances. Thus, our results provide new insights into maize quality-related antioxidant metabolite networks and have potential applications for waxy corn breeding.","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43798116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study was designed to establish a strategy for the extraction, purification and structure analysis of chondroitin sulfate (CS) in milligram amount. Crude acidic polysaccharides were extracted from six kinds of marine animals by enzymatic hydrolysis and hexadecylpyridinium chloride (CPC) precipitation and purified by Q Sepharose Fast Flow (QFF) strong anion exchange column. The purification of each crude polysaccharide was completed within one hour. The structure of the polysaccharides i.e. their chemical characterization, functional group, molecular weight and monosaccharide composition, were analyzed by colorimetry, NMR and HPLC, respectively. All polysaccharides were identified as CS. The oligosaccharide profile produced by enzyme hydrolysis of polysaccharides was performed by SAX-HPLC. This method can be widely applied to the extraction and characterization of chondroitin sulfate from unknown raw materials, screening high-quality sources of functional polysaccharides, and laying a good foundation for the following study of the structure-function relationship of polysaccharides.
本研究旨在建立毫克硫酸软骨素(CS)的提取、纯化和结构分析策略。以6种海洋动物为原料，经酶解和十六烷基吡啶氯化(CPC)沉淀法提取粗酸性多糖，并用Q Sepharose Fast Flow (QFF)强阴离子交换柱进行纯化。每种粗多糖的纯化在1小时内完成。分别用比色法、核磁共振法和高效液相色谱法对多糖的化学性质、官能团、分子量和单糖组成进行了分析。所有多糖均鉴定为CS。采用高效液相色谱法对多糖酶解制备的低聚糖谱进行了分析。该方法可广泛应用于未知原料硫酸软骨素的提取和表征，筛选高质量的功能性多糖来源，为后续多糖结构-功能关系的研究奠定良好的基础。
{"title":"A rapid method for extraction, purification and structure analysis of chondroitin sulfate from six marine tissues","authors":"Yuying Wang, Shokouh Ahmadi, Chengxiao Yu, Laiming Zhang, Xinxin Hu, Xingqian Ye, Shiguo Chen","doi":"10.1093/fqsafe/fyac057","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac057","url":null,"abstract":"\u0000 This study was designed to establish a strategy for the extraction, purification and structure analysis of chondroitin sulfate (CS) in milligram amount. Crude acidic polysaccharides were extracted from six kinds of marine animals by enzymatic hydrolysis and hexadecylpyridinium chloride (CPC) precipitation and purified by Q Sepharose Fast Flow (QFF) strong anion exchange column. The purification of each crude polysaccharide was completed within one hour. The structure of the polysaccharides i.e. their chemical characterization, functional group, molecular weight and monosaccharide composition, were analyzed by colorimetry, NMR and HPLC, respectively. All polysaccharides were identified as CS. The oligosaccharide profile produced by enzyme hydrolysis of polysaccharides was performed by SAX-HPLC. This method can be widely applied to the extraction and characterization of chondroitin sulfate from unknown raw materials, screening high-quality sources of functional polysaccharides, and laying a good foundation for the following study of the structure-function relationship of polysaccharides.","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43415873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yeting Wu, Youyou Lu, Yuhao Huang, Hong Lin, Xuewen Dang, Yujie Jing, Zhaocheng Meng, Xiangcheng Wang, Zhenxing Li
Parvalbumin is the primary allergen found in fish and is highly conserved. According to some studies, some patients with fish allergy are allergic to only one species of fish but are tolerant to others; however, the underlying mechanism has not been identified. The cross reactivity of these seven fish parvalbumins based on turbot PV treated mice was determined using BALB/c mouse and RBL-2H3 cell models. Meanwhile, immunoinformatic tools were used to assess cross reactivity. The results indicated that the seven species of fishes (turbot, large yellow croaker, sea bass, grass carp, common carp, conger eel and Japanese eel) studied exhibited varying degrees of cross reactivity, with the highest cross reactivity being between turbot and bass and the lowest being between turbot and conger eel. The bioinformatics analysis revealed that the sequence homology of parvalbumin between conger eel and turbot was the lowest, which may account for the conger eel and turbot cross reaction being so limited. Parvalbumin was a potent cross-reactive allergen found in turbot, large yellow croaker, sea bass, grass carp, common carp, conger eel and Japanese eel, and the cross reactivity between conger eel and turbot parvalbumin was the weakest. This study demonstrated that the cross reactivity between conger eel PV and turbot PV was the weakest.
{"title":"Insight analysis of the cross sensitisation of multiple fish parvalbumins via the Th1/Th2 immunological balance and cytokine release from the perspective of safe consumption of fish","authors":"Yeting Wu, Youyou Lu, Yuhao Huang, Hong Lin, Xuewen Dang, Yujie Jing, Zhaocheng Meng, Xiangcheng Wang, Zhenxing Li","doi":"10.1093/fqsafe/fyac056","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac056","url":null,"abstract":"\u0000 \u0000 \u0000 Parvalbumin is the primary allergen found in fish and is highly conserved. According to some studies, some patients with fish allergy are allergic to only one species of fish but are tolerant to others; however, the underlying mechanism has not been identified.\u0000 \u0000 \u0000 \u0000 The cross reactivity of these seven fish parvalbumins based on turbot PV treated mice was determined using BALB/c mouse and RBL-2H3 cell models. Meanwhile, immunoinformatic tools were used to assess cross reactivity.\u0000 \u0000 \u0000 \u0000 The results indicated that the seven species of fishes (turbot, large yellow croaker, sea bass, grass carp, common carp, conger eel and Japanese eel) studied exhibited varying degrees of cross reactivity, with the highest cross reactivity being between turbot and bass and the lowest being between turbot and conger eel. The bioinformatics analysis revealed that the sequence homology of parvalbumin between conger eel and turbot was the lowest, which may account for the conger eel and turbot cross reaction being so limited. Parvalbumin was a potent cross-reactive allergen found in turbot, large yellow croaker, sea bass, grass carp, common carp, conger eel and Japanese eel, and the cross reactivity between conger eel and turbot parvalbumin was the weakest.\u0000 \u0000 \u0000 \u0000 This study demonstrated that the cross reactivity between conger eel PV and turbot PV was the weakest.\u0000","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44885976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jugang Wang, Xiaomin Gao, Min Liu, Jianxin Li, Hong Yang, Zuhua Wang, Lili Yang
Harvesting fruits prematurely is a serious problem in many Camellia oleifera ‘Huaxin’ orchards. Systematic views of dynamic alterations in central metabolism associated with the oil content and oil quality of this cultivar at different harvesting dates were investigated. Oil trait analysis was performed in conjunction with data-independent acquisition proteomics analysis using kernels harvested at three time points. Samples were taken from different years and locations to verify oil trait changes, and parallel reaction monitoring (PRM) was performed for some pivotal proteins to validate changes in their abundance. Samples harvested at 6 days after the recommended harvesting date had the highest contents and best fatty acid composition of Camellia oil. A total of 614 differentially accumulated proteins were detected in three pairwise comparisons. Six days prior to the recommended harvesting date, maximum expression of ribonucloprotein, helicase ATP-binding domain-containing protein, and glycerol kinase and the highest seed moisture content were observed. Highest mitogen-activated protein kinase 6, very-long-chain 3-oxoacyl-CoA reductase and stearoyl-CoA desaturase expression appeared on the recommended harvesting date. A delayed effect was observed for proteomic and oil trait data. Oil trait and PRM validations indicated our results to be highly reliable. The current data strongly suggest that in Guizhou Province,’Huaxin’ cannot be harvested earlier than the recommended harvesting date; appropriately delaying the harvesting time can improve the ultimate production and quality of Camellia oil.
{"title":"Camellia oil trait and DIA quantitative proteomics analyses reveal the impact of harvesting time on the oil content and quality of the late-maturing cultivar C. oleifera ‘Huaxin’","authors":"Jugang Wang, Xiaomin Gao, Min Liu, Jianxin Li, Hong Yang, Zuhua Wang, Lili Yang","doi":"10.1093/fqsafe/fyac055","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac055","url":null,"abstract":"\u0000 \u0000 \u0000 Harvesting fruits prematurely is a serious problem in many Camellia oleifera ‘Huaxin’ orchards. Systematic views of dynamic alterations in central metabolism associated with the oil content and oil quality of this cultivar at different harvesting dates were investigated.\u0000 \u0000 \u0000 \u0000 Oil trait analysis was performed in conjunction with data-independent acquisition proteomics analysis using kernels harvested at three time points. Samples were taken from different years and locations to verify oil trait changes, and parallel reaction monitoring (PRM) was performed for some pivotal proteins to validate changes in their abundance.\u0000 \u0000 \u0000 \u0000 Samples harvested at 6 days after the recommended harvesting date had the highest contents and best fatty acid composition of Camellia oil. A total of 614 differentially accumulated proteins were detected in three pairwise comparisons. Six days prior to the recommended harvesting date, maximum expression of ribonucloprotein, helicase ATP-binding domain-containing protein, and glycerol kinase and the highest seed moisture content were observed. Highest mitogen-activated protein kinase 6, very-long-chain 3-oxoacyl-CoA reductase and stearoyl-CoA desaturase expression appeared on the recommended harvesting date. A delayed effect was observed for proteomic and oil trait data. Oil trait and PRM validations indicated our results to be highly reliable.\u0000 \u0000 \u0000 \u0000 The current data strongly suggest that in Guizhou Province,’Huaxin’ cannot be harvested earlier than the recommended harvesting date; appropriately delaying the harvesting time can improve the ultimate production and quality of Camellia oil.\u0000","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44712168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The composition and content of fatty acids are critical indicators of vegetable oils quality. To overcome the drawbacks of traditional detection methods, Raman spectroscopy was investigated for the fast determination of fatty acids composition in oil. Rapeseed and soybean oil at different depths of the oil tank at different storage times were collected, and an eighth-degree polynomial function was used to fit the Raman spectrum. Then, the multivariate scattering correction, standard normal variable transformation (SNV), and Savitzky-Golay convolution smoothing methods were compared. Polynomial fitting combined with SNV was found to be the optimal pretreatment method. Characteristic wavelengths were selected by competitive adaptive reweighted sampling. For monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), and saturated fatty acids (SFAs), 44, 75, and 92 characteristic wavelengths of rapeseed oil, and 60, 114, and 60 characteristic wavelengths of soybean oil were extracted. Support vector regression was used to establish the prediction model. The R 2 values of the prediction results of MUFAs, PUFAs, and SFAs for rapeseed oil were 0.9670, 0.9568, and 0.9553, and the RMSE values were 0.0273, 0.0326, and 0.0340, respectively. The R 2 values of the prediction results of fatty acids for soybean oil were respectively 0.9414, 0.9562, and 0.9422, and RMSE values were 0.0460, 0.0378, and 0.0548, respectively. A good correlation coefficient and small RMSE value were obtained, indicating the results to be highly accurate and reliable. Raman spectroscopy, based on competitive adaptive reweighted sampling coupled with support vector regression, can rapidly and accurately analyze the fatty acid composition of vegetable oil.
{"title":"Rapid Fatty Acids Detection of Vegetable Oils by Raman Spectroscopy Based on Competitive Adaptive Reweighted Sampling Coupled with Support Vector Regression","authors":"Linjiang Pang, Hui Chen, Liqing Yin, Jiyu Cheng, Jiande Jin, Honghui Zhao, Zhihao Liu, Longlong Dong, Huichun Yu, Xinghua Lu","doi":"10.1093/fqsafe/fyac053","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac053","url":null,"abstract":"\u0000 \u0000 \u0000 The composition and content of fatty acids are critical indicators of vegetable oils quality. To overcome the drawbacks of traditional detection methods, Raman spectroscopy was investigated for the fast determination of fatty acids composition in oil.\u0000 \u0000 \u0000 \u0000 Rapeseed and soybean oil at different depths of the oil tank at different storage times were collected, and an eighth-degree polynomial function was used to fit the Raman spectrum. Then, the multivariate scattering correction, standard normal variable transformation (SNV), and Savitzky-Golay convolution smoothing methods were compared.\u0000 \u0000 \u0000 \u0000 Polynomial fitting combined with SNV was found to be the optimal pretreatment method. Characteristic wavelengths were selected by competitive adaptive reweighted sampling. For monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), and saturated fatty acids (SFAs), 44, 75, and 92 characteristic wavelengths of rapeseed oil, and 60, 114, and 60 characteristic wavelengths of soybean oil were extracted. Support vector regression was used to establish the prediction model. The R 2 values of the prediction results of MUFAs, PUFAs, and SFAs for rapeseed oil were 0.9670, 0.9568, and 0.9553, and the RMSE values were 0.0273, 0.0326, and 0.0340, respectively. The R 2 values of the prediction results of fatty acids for soybean oil were respectively 0.9414, 0.9562, and 0.9422, and RMSE values were 0.0460, 0.0378, and 0.0548, respectively. A good correlation coefficient and small RMSE value were obtained, indicating the results to be highly accurate and reliable.\u0000 \u0000 \u0000 \u0000 Raman spectroscopy, based on competitive adaptive reweighted sampling coupled with support vector regression, can rapidly and accurately analyze the fatty acid composition of vegetable oil.\u0000","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41387018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Runhong Mo, Yuewen Zheng, Z. Ni, Danyu Shen, Yihua Liu
Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnut from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with the values of 0.17-1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V and stearic acid, with the contribution rates of 26.8%, 18.9% and 10.9%. This study provides a potentially viable method for application in the food authentication.
{"title":"The phytochemical components of walnuts and their application for geographical origin based on chemical markers","authors":"Runhong Mo, Yuewen Zheng, Z. Ni, Danyu Shen, Yihua Liu","doi":"10.1093/fqsafe/fyac052","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac052","url":null,"abstract":"\u0000 Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnut from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with the values of 0.17-1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V and stearic acid, with the contribution rates of 26.8%, 18.9% and 10.9%. This study provides a potentially viable method for application in the food authentication.","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44058496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High pressure processing (HPP) is a promising assistive method to extract pectic polysaccharides with high rhamnogalacturonan I (RG-I) domain and berries are sources of such pectic polysaccharides. This study extracts pectic polysaccharides from goji berry, raspberry, and cranberry, examines how HPP influences the pectic polysaccharide structure of three berries and provides a basis for the extraction and modification of pectic polysaccharides of specific structure and bioactivity. An orthogonal test was performed to optimize the HPP-assisted alkali method to extract the high yield and high RG-I content pectic polysaccharides from three berries. Structural information of pectic polysaccharides extracted by HPP method and conventional methods were compared from the perspectives of monosaccharide composition, molecular weight, FTIR and NMR. For raspberry, the optimal conditions consisted of a pressure of 500 MPa, a pH of 13, and a pressure-holding time of 12 min, while the optimal conditions for goji berry and cranberry were both 400 MPa, pH 13, 15 min. Under the optimal conditions, the yields for goji berry, raspberry, and cranberry were 10.49%, 16.63%, and 17.52%, respectively, and RG-I contents were 81.85%, 83.30%, and 63.22%, respectively. HPP showed an effect to degrade HG backbones and side chains and increase the RG-I content to some extent. HPP-assisted alkali method was revealed to be an efficient method to extract high RG-I content pectic polysaccharides, especially for cranberry, and was a potential method to modify pectic polysaccharide structure in a certain way.
{"title":"Optimization of high pressure processing-assisted extraction of pectic polysaccharides from three berries","authors":"Xinxin Hu, Chengxiao Yu, Shokouh Ahmadi, Yuying Wang, Xingqian Ye, Zhiqiang Hou, Shiguo Chen","doi":"10.1093/fqsafe/fyac051","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac051","url":null,"abstract":"\u0000 \u0000 \u0000 High pressure processing (HPP) is a promising assistive method to extract pectic polysaccharides with high rhamnogalacturonan I (RG-I) domain and berries are sources of such pectic polysaccharides. This study extracts pectic polysaccharides from goji berry, raspberry, and cranberry, examines how HPP influences the pectic polysaccharide structure of three berries and provides a basis for the extraction and modification of pectic polysaccharides of specific structure and bioactivity.\u0000 \u0000 \u0000 \u0000 An orthogonal test was performed to optimize the HPP-assisted alkali method to extract the high yield and high RG-I content pectic polysaccharides from three berries. Structural information of pectic polysaccharides extracted by HPP method and conventional methods were compared from the perspectives of monosaccharide composition, molecular weight, FTIR and NMR.\u0000 \u0000 \u0000 \u0000 For raspberry, the optimal conditions consisted of a pressure of 500 MPa, a pH of 13, and a pressure-holding time of 12 min, while the optimal conditions for goji berry and cranberry were both 400 MPa, pH 13, 15 min. Under the optimal conditions, the yields for goji berry, raspberry, and cranberry were 10.49%, 16.63%, and 17.52%, respectively, and RG-I contents were 81.85%, 83.30%, and 63.22%, respectively. HPP showed an effect to degrade HG backbones and side chains and increase the RG-I content to some extent.\u0000 \u0000 \u0000 \u0000 HPP-assisted alkali method was revealed to be an efficient method to extract high RG-I content pectic polysaccharides, especially for cranberry, and was a potential method to modify pectic polysaccharide structure in a certain way.\u0000","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42921206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Segment drying is a severe physiological disorder of citrus fruit, and vesicles become granulated or collapsed. Aside from the hypothesis that alteration of cell wall metabolism is the main factor of citrus granulation, little is known about vesicle collapse. This study aimed to elucidate the changes in pectin metabolism during vesicle collapse in blood orange. Vesicle collapse was characterized by decreased nutrients while increased chelate- and sodium carbonate-soluble pectin and calcium content. The nanostructure of chelate-soluble pectin got complex and developed multi-branching upon collapse. The activity of pectin methylesterase increased, while that of polygalacturonase and pectate lyase decreased upon collapse. Genome-wide transcriptional analysis revealed an increasing pattern of genes encoding pectin methylesterase and other enzymes involved in pectin synthesis and de-acetylation upon collapse. Drying vesicles were characterized by increased abscisic acid content and relevant gene expressions. In conclusion, we discovered alteration of pectin metabolism underlying citrus vesicle collapse, mainly promoting pectin demethylesterification, remodeling pectin structures, and further inhibiting pectin degradation, which was hypothesized to be a main factor for the citrus collapse. This is the first to disclose the potential intrinsic mechanism underlying vesicle collapse in orange fruit.
{"title":"Alteration of pectin metabolism in blood orange fruit (Citrus sinensis cv. Tarocco) in response to vesicle collapse","authors":"Jiao Hou, D. Yan, Meizhu Huang, K. Zeng, S. Yao","doi":"10.1093/fqsafe/fyac050","DOIUrl":"https://doi.org/10.1093/fqsafe/fyac050","url":null,"abstract":"\u0000 Segment drying is a severe physiological disorder of citrus fruit, and vesicles become granulated or collapsed. Aside from the hypothesis that alteration of cell wall metabolism is the main factor of citrus granulation, little is known about vesicle collapse. This study aimed to elucidate the changes in pectin metabolism during vesicle collapse in blood orange. Vesicle collapse was characterized by decreased nutrients while increased chelate- and sodium carbonate-soluble pectin and calcium content. The nanostructure of chelate-soluble pectin got complex and developed multi-branching upon collapse. The activity of pectin methylesterase increased, while that of polygalacturonase and pectate lyase decreased upon collapse. Genome-wide transcriptional analysis revealed an increasing pattern of genes encoding pectin methylesterase and other enzymes involved in pectin synthesis and de-acetylation upon collapse. Drying vesicles were characterized by increased abscisic acid content and relevant gene expressions. In conclusion, we discovered alteration of pectin metabolism underlying citrus vesicle collapse, mainly promoting pectin demethylesterification, remodeling pectin structures, and further inhibiting pectin degradation, which was hypothesized to be a main factor for the citrus collapse. This is the first to disclose the potential intrinsic mechanism underlying vesicle collapse in orange fruit.","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47636451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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