关键词: Biosensors Extensive screening GPCRs Melatonin Metabolic engineering Signal transduction

Mesh : Biosensing Techniques / methods Melatonin / analysis metabolism Receptors, G-Protein-Coupled / metabolism genetics Saccharomyces cerevisiae / metabolism genetics Fermentation Wine / analysis Beverages / analysis

来  源:   DOI:10.1038/s41598-024-68633-y   PDF(Pubmed)

Abstract:
Melatonin is a multifunctional molecule with diverse biological roles that holds great value as a health-promoting bioactive molecule in any food product and yeast\'s ability to produce it has been extensively demonstrated in the last decade. However, its quantification presents costly analytical challenges due to the usual low concentrations found as the result of yeast metabolism. This study addresses these analytical challenges by optimizing a yeast biosensor based on G protein-coupled receptors (GPCR) for melatonin detection and quantitation. Strategic genetic modifications were employed to significantly enhance its sensitivity and fluorescent signal output, making it suitable for detection of yeast-produced melatonin. The optimized biosensor demonstrated significantly improved sensitivity and fluorescence, enabling the screening of 101 yeast strains and the detection of melatonin in various wine samples. This biosensor\'s efficacy in quantifying melatonin in yeast growth media underscores its utility in exploring melatonin production dynamics and potential applications in functional food development. This study provides a new analytical approach that allows a rapid and cost-effective melatonin analysis to reach deeper insights into the bioactivity of melatonin in fermented products and its implications for human health. These findings highlight the broader potential of biosensor technology in streamlining analytical processes in fermentation science.
摘要:
褪黑激素是一种具有多种生物学作用的多功能分子,作为一种促进健康的生物活性分子,在任何食品中都具有巨大的价值,酵母生产它的能力在过去十年中得到了广泛的证明。然而,它的定量提出了昂贵的分析挑战,由于通常的低浓度发现的结果,酵母代谢。本研究通过优化基于G蛋白偶联受体(GPCR)的酵母生物传感器来进行褪黑激素检测和定量,从而解决了这些分析挑战。战略遗传修饰被用来显著提高其灵敏度和荧光信号输出,使其适用于检测酵母产生的褪黑激素。优化的生物传感器显示出显着提高的灵敏度和荧光,能够筛选101个酵母菌株和检测各种葡萄酒样品中的褪黑激素。这种生物传感器在酵母生长培养基中定量褪黑激素的功效强调了其在探索褪黑激素生产动态和在功能性食品开发中的潜在应用中的实用性。这项研究提供了一种新的分析方法,可以进行快速且具有成本效益的褪黑激素分析,以更深入地了解发酵产品中褪黑激素的生物活性及其对人类健康的影响。这些发现凸显了生物传感器技术在简化发酵科学分析过程中的更广泛潜力。
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