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基于呼出气体的细胞类型识别化学电阻传感器

Chemoresistive Sensors for Cellular Type Discrimination Based on Their Exhalations.

作者信息

Astolfi Michele, Rispoli Giorgio, Benedusi Mascia, Zonta Giulia, Landini Nicolò, Valacchi Giuseppe, Malagù Cesare

机构信息

Department of Physics and Earth Sciences, University of Ferrara, 44122 Ferrara, Italy.

SCENT S.r.l., Via Quadrifoglio 11, 44124 Ferrara, Italy.

出版信息

Nanomaterials (Basel). 2022 Mar 28;12(7):1111. doi: 10.3390/nano12071111.

Abstract

The detection of volatile organic compounds (VOCs) exhaled by human body fluids is a recent and promising method to reveal tumor formations. In this feasibility study, a patented device, based on nanostructured chemoresistive gas sensors, was employed to explore the gaseous exhalations of tumoral, immortalized, and healthy cell lines, with the aim of distinguishing their VOC patterns. The analysis of the device output to the cell VOCs, emanated at different incubation times and initial plating concentrations, was performed to evaluate the device suitability to identify the cell types and to monitor their growth. The sensors ST25 (based on tin and titanium oxides), STN (based on tin, titanium, and niobium oxides), and TiTaV (based on titanium, tantalum and vanadium oxides) used here, gave progressively increasing responses upon the cell density increase and incubation time; the sensor W11 (based on tungsten oxide) gave instead unreliable responses to all cell lines. All sensors (except for W11) gave large and consistent responses to RKO and HEK293 cells, while they were less responsive to CHO, A549, and CACO-2 ones. The encouraging results presented here, although preliminary, foresee the development of sensor arrays capable of identifying tumor presence and its type.

摘要

检测人体体液呼出的挥发性有机化合物(VOCs)是一种新兴且有前景的揭示肿瘤形成的方法。在这项可行性研究中,一种基于纳米结构化学电阻式气体传感器的专利设备被用于探索肿瘤细胞系、永生化细胞系和健康细胞系的呼出气体,目的是区分它们的VOC模式。对该设备针对在不同孵育时间和初始接种浓度下散发的细胞VOCs的输出进行分析,以评估该设备识别细胞类型和监测其生长的适用性。此处使用的传感器ST25(基于锡和钛氧化物)、STN(基于锡、钛和铌氧化物)以及TiTaV(基于钛、钽和钒氧化物),随着细胞密度增加和孵育时间的延长,响应逐渐增强;而传感器W11(基于氧化钨)对所有细胞系的响应却不可靠。所有传感器(除W11外)对RKO和HEK293细胞都有强烈且一致的响应,而对CHO、A549和CACO - 2细胞的响应则较弱。尽管此处呈现的结果是初步的,但令人鼓舞,预示着能够识别肿瘤存在及其类型的传感器阵列的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf4/9000844/387322df1c8a/nanomaterials-12-01111-g001.jpg

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