Label-Free Detection of <i>Escherichia coli</i> Based on Thermal Transport through Surface Imprinted Polymers

Grinsven, Bart van; Eersels, Kasper; Akkermans, Onno; Ellermann, Sophie; Kordek, Aleksandra; Peeters, Marloes; Deschaume, Olivier; Bartic, Carmen; Diliën, Hanne; Redeker, Erik Steen; Wagner, Patrick; Cleij, Thomas J.

doi:10.1021/acssensors.6b00435

Cited by 73 publications

(80 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the analysis of a cured SIP sample (Figure b) showed a heterogeneous higher surface coverage of 12.40 ± 4.64%, corresponding to a two‐fold higher numerical coverage of ≈5.05 × 10 6 imprints per cm 2 . These data are in accordance with a previously performed optical analysis on the same SIP preparation …”

Section: Resultssupporting

confidence: 91%

“…In this way, temperature transport can be monitored in time. Binding of bacteria results in a concentration‐dependent increase of the thermal resistance of the solid–liquid interface which could be registered as a decrease in the transmitted temperature . In this way, the current platform allows differentiating between at least eight different bacterial species and is able to detect bacteria in urine in concentrations that are clinically relevant for urinary tract infection (UTI) diagnosis …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Biomimetic Bacterial Identification Platform Based on Thermal Transport Analysis Through Surface Imprinted Polymers: From Proof of Principle to Proof of Application

Heidt

Rogosic

Lowdon

et al. 2019

Physica Status Solidi (a)

Self Cite

View full text Add to dashboard Cite

Accurate and sensitive detection of bacteria is crucial in medicine for diagnosis and effective treatment of infectious diseases. Current state‐of‐the art methods consist of either traditional time consuming microbiological analysis or rapid, sensitive molecular techniques that require expensive readout equipment. In previous work, the authors of this paper combined synthetic bacteria receptors, so‐called surface imprinted polymers (SIPs), with a novel thermal biosensor readout methodology for the detection of bacteria in urine. In this follow‐up study, the potential of the method for application in urinary tract infection (UTI) diagnosis is further studied. The reproducibility of the method is assessed by expanding the study and analyzing the sensor's performance in urine samples obtained from four healthy adults. The samples are spiked with increasing concentrations of Escherichia coli to obtain different dose‐response curves. The results of this study show that the method is reproducible over the studied population and variables such as age, gender and osmolality do not seem to influence the test. All results fall within the previously established dynamic range of 104–105 bacteria mL−1 which fits well within the diagnostic window of classical microbiological UTI tests. Further tests conducted on a urine sample 24 h after spiking illustrate the problem with traditional microbiology tests as the sensor response has significantly decreased due to the presence of a significant amount of dead bacteria in the day‐old sample. These results confirm that fast, point‐of‐care analysis of fresh urine samples is advantageous over classic laborious techniques in terms of accurate diagnosis.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Biomimetic Bacterial Identification Platform Based on Thermal Transport Analysis Through Surface Imprinted Polymers: From Proof of Principle to Proof of Application

Heidt

Rogosic

Lowdon

et al. 2019

Physica Status Solidi (a)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The addition of analogue cells to the flow cell leads to a decrease in T 2 , which can be readily reversed by flushing with buffer (Figure 3a), which corresponds to the results that were obtained previously. 39 However, upon addition of E. coli K12 cells the signal does not fully return back to baseline and stabilizes at an intermediate value. Addition of target cells further decreases the signal to a minimum, after which the signal stays constant upon flushing with buffer (Figure 3a).…”

Section: Resultsmentioning

confidence: 99%

Biomimetic Bacterial Identification Platform Based on Thermal Wave Transport Analysis (TWTA) through Surface-Imprinted Polymers

et al. 2017

Self Cite

View full text Add to dashboard Cite

This paper introduces a novel bacterial identification assay based on thermal wave analysis through surface-imprinted polymers (SIPs). Aluminum chips are coated with SIPs, serving as synthetic cell receptors that have been combined previously with the heat-transfer method (HTM) for the selective detection of bacteria. In this work, the concept of bacterial identification is extended toward the detection of nine different bacterial species. In addition, a novel sensing approach, thermal wave transport analysis (TWTA), is introduced, which analyzes the propagation of a thermal wave through a functional interface. The results presented here demonstrate that bacterial rebinding to the SIP layer resulted in a measurable phase shift in the propagated wave, which is most pronounced at a frequency of 0.03 Hz. In this way, the sensor is able to selectively distinguish between the different bacterial species used in this study. Furthermore, a dose–response curve was constructed to determine a limit of detection of 1 × 104 CFU mL–1, indicating that TWTA is advantageous over HTM in terms of sensitivity and response time. Additionally, the limit of selectivity of the sensor was tested in a mixed bacterial solution, containing the target species in the presence of a 99-fold excess of competitor species. Finally, a first application for the sensor in terms of infection diagnosis is presented, revealing that the platform is able to detect bacteria in clinically relevant concentrations as low as 3 × 104 CFU mL–1 in spiked urine samples.

show abstract

“…Experimental Set‐Up : A similar experimental setup to the one used in the work by Grinsven et al was used for the experimental measurements . Briefly, polymer‐coated aluminum chips were placed on top of a copper block (thin polymer layer facing up), that was heated by a 22 Ohm power resistor (Vishay, Farnell), soldered onto the bottom part of the copper heat provider.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, the authors of this article introduced a novel sensing technique based on analyzing thermal transport over a liquid interface. This low‐cost and fast readout method, coined the heat‐transfer method (HTM) has proven to be particularly useful in combination with synthetic receptors . Traditionally, aluminum chips are coated with a polymeric layer as illustrated in Figure .…”

Section: Introductionmentioning

confidence: 99%

Studying the Effect of Adhesive Layer Composition on MIP‐Based Thermal Biosensing

Rogosic

Lowdon

Heidt

et al. 2019

Physica Status Solidi (a)

Self Cite

View full text Add to dashboard Cite

Molecularly imprinted polymer (MIP)‐based thermal sensing has proven to be a very interesting tool for diagnostic purposes. However, many fundamental phenomena are not yet fully understood. In the following study, MIPs are imprinted with the new psychoactive substance methoxphenidine (2‐MXP). Thermal detection of this compound in water is demonstrated for the very first time and the effect of varying the adhesive layer composition on the performance of the sensor is analyzed. Three different polymers are used to create a uniform adhesive layer. The surface coverage of MIPs on each of the layers as well as the heat‐transfer properties are studied. The results of the study indicate that the chips coated with poly(vinyl butyral‐co‐vinyl alcohol‐co‐vinyl acetate) display a higher surface coverage and a lower thermal resistance value. This results in an improved effect size and therefore improves dynamic range of the sensor.

show abstract

Label-Free Detection of Escherichia coli Based on Thermal Transport through Surface Imprinted Polymers

Cited by 73 publications

References 51 publications

Biomimetic Bacterial Identification Platform Based on Thermal Transport Analysis Through Surface Imprinted Polymers: From Proof of Principle to Proof of Application

Biomimetic Bacterial Identification Platform Based on Thermal Transport Analysis Through Surface Imprinted Polymers: From Proof of Principle to Proof of Application

Biomimetic Bacterial Identification Platform Based on Thermal Wave Transport Analysis (TWTA) through Surface-Imprinted Polymers

Studying the Effect of Adhesive Layer Composition on MIP‐Based Thermal Biosensing

Contact Info

Product

Resources

About