Literature DB >> 30869519

Ultrafast and Ultrasensitive Naked-Eye Detection of Urease-Positive Bacteria with Plasmonic Nanosensors.

Giulia Santopolo1, Antonio Doménech-Sánchez2,3, Steven M Russell4,1, Roberto de la Rica4,1.   

Abstract

Identifying the pathogen responsible for an infection is a requirement in order to personalize antimicrobial treatments. Detecting bacterial enzymes, such as proteases, lipases, and oxidoreductases, is a winning approach for detecting pathogens at the point of care. In this Article, a new method for detecting urease-producing bacteria rapidly and at ultralow concentrations is reported. In this method, longsome bacteriological culture steps are substituted for a 10 min capture procedure with positively charged magnetic beads. The presence of urease-positive bacteria on the particles is then queried with a plasmonic signal generation step that generates blue- or red-colored nanoparticle suspensions upon addition of the enzyme substrate. These colorimetric signals, which can be easily identified by eye, are generated by the NH3-dependent assembly of gold nanoparticles in the presence of bovine serum albumin (BSA). The proposed method can detect Proteus mirabilis with a limit of detection of 101 cells mL-1, with a total assay time of 40 min, even in the presence of a large excess of urease-negative bacteria ( Pseudomonas aeruginosa). Furthermore, it does not require bulky equipment, and it can detect P. mirabilis at clinically relevant concentrations within minutes, making it suitable for detecting urease-positive pathogens at the point of care.

Entities:  

Keywords:  LSPR; colorimetric; gold; magnetic; nanoparticle; pathogen; sepsis; urine

Mesh:

Substances:

Year:  2019        PMID: 30869519     DOI: 10.1021/acssensors.9b00063

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  5 in total

Review 1.  Recent progress in the optical detection of pathogenic bacteria based on noble metal nanoparticles.

Authors:  Shou-Zhi Yang; Qi-Ao Liu; Yan-Ling Liu; Guo-Jun Weng; Jian Zhu; Jian-Jun Li
Journal:  Mikrochim Acta       Date:  2021-07-16       Impact factor: 5.833

Review 2.  Nanoplatforms for Sepsis Management: Rapid Detection/Warning, Pathogen Elimination and Restoring Immune Homeostasis.

Authors:  Gan Luo; Jue Zhang; Yaqi Sun; Ya Wang; Hanbin Wang; Baoli Cheng; Qiang Shu; Xiangming Fang
Journal:  Nanomicro Lett       Date:  2021-03-08

Review 3.  Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.

Authors:  Mohammad J Hajipour; Amir Ata Saei; Edward D Walker; Brian Conley; Yadollah Omidi; Ki-Bum Lee; Morteza Mahmoudi
Journal:  Adv Sci (Weinh)       Date:  2021-09-23       Impact factor: 16.806

4.  Contrast between traditional and machine learning algorithms based on a urine culture predictive model: a multicenter retrospective study in patients with urinary calculi.

Authors:  Yuhui He; Panxin Peng; Wenwei Ying; Qinwei Wang; Yan Wang; Xiankui Liu; Wenhui Song; Yue Gao; Peizhe Li; Jie Wang; Weijie Zhu; Wenzhi Gao; Xiaofeng Zhou; Xuesong Li; Liqun Zhou
Journal:  Transl Androl Urol       Date:  2022-02

5.  Plasma-induced nanoparticle aggregation for stratifying COVID-19 patients according to disease severity.

Authors:  Giulia Santopolo; Antonio Clemente; Marta González-Freire; Steven M Russell; Andreu Vaquer; Enrique Barón; María Aranda; Antonia Socias; Alberto Del Castillo; Marcio Borges; Roberto de la Rica
Journal:  Sens Actuators B Chem       Date:  2022-09-15       Impact factor: 9.221

  5 in total

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