Real-time potentiometric detection of bacteria in complex samples.
Detecting and identifying pathogen bacteria is essential to ensure quality at all stages of the food chain and to diagnose and control microbial infections. Traditional detection methods, including those based on cell culturing, are tedious and time-consuming, and their further application in real samples generally implies more complex pretreatment steps. Even though state-of-the-art techniques for detecting microorganisms enable the quantification of very low concentrations of bacteria, to date it has been difficult to obtain successful results in real samples in a simple, reliable, and rapid manner. In this Article, we demonstrate that the label-free detection and identification of living bacteria in real samples can be carried out in a couple of minutes and in a direct, simple, and selective way at concentration levels as low as 6 colony forming units/mL (CFU) in complex matrices such as milk or 26 CFU/mL in apple juice where the pretreatment step of samples is extremely easy. We chose Escherichia coli ( E. coli ) CECT 675 cells as a model organism as a nonpathogenic surrogate for pathogenic E. coli O157:H7 to test the effectiveness of a potentiometric aptamer-based biosensor. This biosensor uses single-walled carbon nanotubes (SWCNT) as excellent ion-to-electron transducers and covalently immobilized aptamers as biorecognition elements. The selective aptamer-target interaction significantly changes the electrical potential, thus allowing for both interspecies and interstrain selectivity and enabling the direct detection of the target. This technique is therefore a powerful tool for the immediate identification and detection of microorganisms. We demonstrate the highly selective detection of living bacteria with an immediate linear response of up to 10(4) CFU/mL. The biosensor can be easily built and used, is regenerated without difficulty, and can be used at least five times with no loss in the minimum amount of detected bacteria.
Zelada-Guillén
Gustavo A
GA
Departament de Química Analítica i Química Orgànica, Universitat Rovira i Virgili, 43007, Tarragona, Spain.
Bhosale
Suryakant V
SV
Riu
Jordi
J
Rius
F Xavier
FX
D052157:Aptamers, Nucleotide / Q000235:genetics / Q000378:metabolism; D001419:Bacteria / Q000302:isolation & purification* / Q000378:metabolism; D001483:Base Sequence; D015374:Biosensing Techniques / Q000379:methods*; D004566:Electrodes; D057230:Limit of Detection; D008969:Molecular Sequence Data; D037742:Nanotubes, Carbon / Q000737:chemistry; D011199:Potentiometry / Q000379:methods*; D013045:Species Specificity; D013997:Time Factors
D052157:Aptamers, Nucleotide; D037742:Nanotubes, Carbon