Detection of Microbes in Ice Using Microfabricated Impedance Spectroscopy Sensors

Detection of Microbes in Ice Using Microfabricated Impedance Spectroscopy Sensors
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使用微型阻抗光谱传感器检测冰中的微生物

DOI:
10.1149/2754-2726/ad024d
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发表时间:
2023
期刊:
ECS Sensors Plus
影响因子:
--
通讯作者:
Warnat, Stephan
Warnat, Stephan
中科院分区:
--
文献类型:
--
作者:
Kaiser-Jackson, Lauren B.;Dieser, Markus;McGlennen, Matthew;Parker, Albert E.;Foreman, Christine M.;Warnat, Stephan

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在多晶冰晶格的生长过程中,微生物划分成脉,形成高度集中在盐和微生物细胞中的冰脉网络。我们使用微型电化学阻抗谱(EIS)传感器来确定微生物对冰的电化学性质的影响。分析的溶液由176 μS cm− 1电导率溶液、荧光珠和大肠杆菌HB 101-GFP组成,以模拟生物有机体。在-10 C、-20 C和-25 C下,在跨越传感器的冰脉或冰粒(即,没有脉)内收集阻抗谱数据。冷冻后,荧光珠和E.大肠杆菌分布于冰静脉中。在冰脉和微生物杂质的存在下,相应的阻抗数据明显不同。冰脉中微生物细胞的存在是明显的,相对于固体冰粒的电特性(电极和冰基质之间的电极极化)降低。此外,这种电化学行为在所有珠掺杂的溶液中被逆转,表明微生物过程影响传感器响应。线性混合效应模型实证证实了与冰中微生物细胞的存在和不存在相关的极化差异。我们表明,EIS有可能检测冰中的微生物,并区分静脉和固体颗粒。
During the growth of a polycrystalline ice lattice, microorganisms partition into veins, forming an ice vein network highly concentrated in salts and microbial cells. We used microfabricated electrochemical impedance spectroscopy (EIS) sensors to determine the effect of microorganisms on the electrochemical properties of ice. Solutions analyzed consisted of a 176 μS cm− 1 conductivity solution, fluorescent beads, and Escherichia coli HB101-GFP to model biotic organisms. Impedance spectroscopy data were collected at− 10 C,− 20 C, and− 25 C within either ice veins or ice grains (ie, no veins) spanning the sensors. After freezing, the fluorescent beads and E. coli were partitioned into the ice veins. The corresponding impedance data were discernibly different in the presence of ice veins and microbial impurities. The presence of microbial cells in ice veins was evident by decreased electrical characteristics (electrode polarization between electrode and ice matrix) relative to solid ice grains. Further, this electrochemical behavior was reversed in all bead-doped solutions, indicating that microbial processes influence sensor response. Linear mixed-effects models empirically corroborated the differences in polarization associated with the presence and absence of microbial cells in ice. We show that EIS has the potential to detect microbes in ice and differentiate between veins and solid grains.
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