Carmen Ivet Mendoza Bacilio, Ruiz Epifanio Gómez, Alejandro Yam Puc, Luz Patricia Avila Caballero, Francisco Palemón Alberto, Felix Torres Guzmán, Jorge Bello Martínez
{"title":"颜色对墨西哥格雷罗蜂蜜酚类化合物和生物活性的影响","authors":"Carmen Ivet Mendoza Bacilio, Ruiz Epifanio Gómez, Alejandro Yam Puc, Luz Patricia Avila Caballero, Francisco Palemón Alberto, Felix Torres Guzmán, Jorge Bello Martínez","doi":"10.18633/biotecnia.v24i2.1384","DOIUrl":null,"url":null,"abstract":"Honey is mainly composed of glucose and fructose between 80 and 85 %, which come from the nectar collected by the bees; therefore, it is considered a great caloric source. The present study aimed to evaluate the influence of color, on chemical composition and bioactive properties of polyfloral honey collected in different geographical regions of Guerrero state, Mexico. The honey samples were from the 2018 harvest and honeys were analyzed to determine their total phenolic and flavonoids content, as well as their antioxidant and antimicrobial activity. The phenolic and flavonoids content varied considerably, and the highest values were obtained for dark amber honeys. Similarly, dark amber honeys showed higher antioxidant activity. The antibacterial activity was more effective against Gram-positive bacteria than Gram-negative bacteria; also, results indicated that fungi were less susceptible than bacteria. A positive correlation between color and antioxidant capacity was found. Correlation existed also between color vs phenolics content, vs flavonoid content or between phenolic vs flavonoid. Principal component analysis (PCA) on bioactive results was a useful tool to characterize different types of honey based on the variables of each group in relation to the similarity between the samples.","PeriodicalId":8876,"journal":{"name":"Biotecnia","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influencia del color en compuestos fenólicos y propiedades bioactivas de la miel de Guerrero, México\",\"authors\":\"Carmen Ivet Mendoza Bacilio, Ruiz Epifanio Gómez, Alejandro Yam Puc, Luz Patricia Avila Caballero, Francisco Palemón Alberto, Felix Torres Guzmán, Jorge Bello Martínez\",\"doi\":\"10.18633/biotecnia.v24i2.1384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Honey is mainly composed of glucose and fructose between 80 and 85 %, which come from the nectar collected by the bees; therefore, it is considered a great caloric source. The present study aimed to evaluate the influence of color, on chemical composition and bioactive properties of polyfloral honey collected in different geographical regions of Guerrero state, Mexico. The honey samples were from the 2018 harvest and honeys were analyzed to determine their total phenolic and flavonoids content, as well as their antioxidant and antimicrobial activity. The phenolic and flavonoids content varied considerably, and the highest values were obtained for dark amber honeys. Similarly, dark amber honeys showed higher antioxidant activity. The antibacterial activity was more effective against Gram-positive bacteria than Gram-negative bacteria; also, results indicated that fungi were less susceptible than bacteria. A positive correlation between color and antioxidant capacity was found. Correlation existed also between color vs phenolics content, vs flavonoid content or between phenolic vs flavonoid. Principal component analysis (PCA) on bioactive results was a useful tool to characterize different types of honey based on the variables of each group in relation to the similarity between the samples.\",\"PeriodicalId\":8876,\"journal\":{\"name\":\"Biotecnia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotecnia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18633/biotecnia.v24i2.1384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotecnia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18633/biotecnia.v24i2.1384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Influencia del color en compuestos fenólicos y propiedades bioactivas de la miel de Guerrero, México
Honey is mainly composed of glucose and fructose between 80 and 85 %, which come from the nectar collected by the bees; therefore, it is considered a great caloric source. The present study aimed to evaluate the influence of color, on chemical composition and bioactive properties of polyfloral honey collected in different geographical regions of Guerrero state, Mexico. The honey samples were from the 2018 harvest and honeys were analyzed to determine their total phenolic and flavonoids content, as well as their antioxidant and antimicrobial activity. The phenolic and flavonoids content varied considerably, and the highest values were obtained for dark amber honeys. Similarly, dark amber honeys showed higher antioxidant activity. The antibacterial activity was more effective against Gram-positive bacteria than Gram-negative bacteria; also, results indicated that fungi were less susceptible than bacteria. A positive correlation between color and antioxidant capacity was found. Correlation existed also between color vs phenolics content, vs flavonoid content or between phenolic vs flavonoid. Principal component analysis (PCA) on bioactive results was a useful tool to characterize different types of honey based on the variables of each group in relation to the similarity between the samples.