Miller Rachel A, Lee Seryeong, Fridmanski Ethan J, Barron Elsa, Pence Julia, Lieberman Marya, Goodson Holly V
Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Department of Sociology, University of Notre Dame, Notre Dame, Indiana 46556, United States.
ACS Sens. 2020 Oct 23;5(10):3025-3030. doi: 10.1021/acssensors.0c01344. Epub 2020 Oct 12.
Portable and inexpensive analytical tools are required to monitor pharmaceutical quality in technology limited settings including low- and middle-income countries (LMICs). Whole cell yeast biosensors have the potential to help meet this need. However, most of the readouts for yeast biosensors require expensive equipment or reagents. To overcome this challenge, we have designed a yeast biosensor that produces a unique scent as a readout. This inducible scent biosensor, or "scentsor", does not require the user to administer additional reagents for reporter development and utilizes only the user's nose to be "read". In this Letter, we describe a scentsor that is responsive to the hormone estradiol (E2). The best estimate threshold (BET) for E2 detection with a panel of human volunteers ( = 49) is 39 nM E2 (15 nM when "non-smellers" are excluded). This concentration of E2 is sensitive enough to detect levels of E2 that would be found in dosage forms. This paper provides evidence that scent has the potential for use in portable yeast biosensors as a readout, particularly for use in LMICs.
在包括低收入和中等收入国家(LMICs)在内的技术受限环境中,需要便携式且廉价的分析工具来监测药品质量。全细胞酵母生物传感器有潜力满足这一需求。然而,酵母生物传感器的大多数读数需要昂贵的设备或试剂。为了克服这一挑战,我们设计了一种酵母生物传感器,它产生一种独特的气味作为读数。这种可诱导气味生物传感器,即“气味传感器”,不需要用户为报告基因开发额外添加试剂,仅利用用户的鼻子进行“读取”。在这封信中,我们描述了一种对激素雌二醇(E2)有反应的气味传感器。一组人类志愿者(n = 49)检测E2的最佳估计阈值(BET)为39 nM E2(排除“非嗅觉者”后为15 nM)。这种E2浓度足够灵敏,能够检测剂型中存在的E2水平。本文提供了证据表明气味有潜力用于便携式酵母生物传感器作为读数,特别是在低收入和中等收入国家使用。