Institute of Crystallography, National Research Council, Department of Chemical Sciences and Materials Technologies, Via Salaria km 29.300, 00015 Monterotondo, Italy.
Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy.
Biosensors (Basel). 2022 Jun 10;12(6):401. doi: 10.3390/bios12060401.
Herein, we report a proof-of-concept algal cytosensor for the electrochemical quantification of bacteria in wastewater, exploiting the green photosynthetic alga immobilized on carbon black (CB) nanomodified screen-printed electrodes. The CB nanoparticles are used as nanomodifiers, as they are able to sense the oxygen produced by the algae and thus the current increases when algae are exposed to increasing concentrations of bacteria. The sensor was tested on both standard solutions and real wastewater samples for the detection in a linear range of response from 100 to 2000 CFU/100 mL, showing a limit of detection of 92 CFU/100 mL, in agreement with the maximum E. coli concentration established by the Italian law for wastewater (less than 5000 CFU/100 mL). This bacterium was exploited as a case study target of the algal cytosensor to demonstrate its ability as an early warning analytical system to signal heavy loads of pathogens in waters leaving the wastewater treatment plants. Indeed, the cytosensor is not selective towards but it is capable of sensing all the bacteria that induce the algae oxygen evolution by exploiting the effect of their interaction. Other known toxicants, commonly present in wastewater, were also analyzed to test the cytosensor selectivity, with any significant effect, apart from atrazine, which is a specific target of the D1 protein of the Chlamydomonas photosystem II. However, the latter can also be detected by chlorophyll fluorescence simultaneously to the amperometric measurements. The matrix effect was evaluated, and the recovery values were calculated as 105 ± 8, 83 ± 7, and 88 ± 7% for 1000 CFU/100 mL of in Lignano, San Giorgio, and Pescara wastewater samples, respectively.
在此,我们报告了一种用于电化学定量检测废水中细菌的藻类细胞传感器,该传感器利用固定在碳黑 (CB) 纳米修饰丝网印刷电极上的绿色光合藻类来实现。CB 纳米颗粒被用作纳米调节剂,因为它们能够感测藻类产生的氧气,因此当藻类暴露于越来越高浓度的细菌时,电流会增加。该传感器在标准溶液和实际废水样品上进行了测试,在 100 至 2000 CFU/100 mL 的线性响应范围内进行检测,检测限为 92 CFU/100 mL,与意大利法律规定的废水(小于 5000 CFU/100 mL)中大肠杆菌的最高浓度一致。该细菌被用作藻类细胞传感器的案例研究目标,以证明其作为预警分析系统的能力,以指示离开废水处理厂的水中病原体的高负荷。事实上,该细胞传感器不具有选择性,但能够通过利用其相互作用的效果来感测所有诱导藻类氧气释放的细菌。还分析了其他已知的废水中常见的有毒物质,以测试细胞传感器的选择性,除了莠去津外,没有任何显著影响,莠去津是衣藻光合作用系统 II 的 D1 蛋白的特定靶标。然而,后者也可以与安培测量同时通过叶绿素荧光来检测。评估了基质效应,并计算了在 Lignano、San Giorgio 和 Pescara 废水样品中 1000 CFU/100 mL 的回收率值分别为 105 ± 8、83 ± 7 和 88 ± 7%。