Rapid and label-free Listeria monocytogenes detection based on stimuli-responsive alginate-platinum thiomer nanobrushes

In this work, we demonstrate the development of a rapid and label-free electrochemical biosensor to detect Listeria monocytogenes using a novel stimulus-response thiomer nanobrush material. Nanobrushes were developed via one-step simultaneous co-deposition of nanoplatinum (Pt) and alginate thiomers (ALG-thiomer). ALG-thiomer/Pt nanobrush platform significantly increased the average electroactive surface area of electrodes by 7 folds and maintained the actuation properties (pH-stimulated osmotic swelling) of the alginate. Dielectric behavior during brush actuation was characterized with positively, neutral, and negatively charged redox probes above and below the isoelectric point of alginate, indicating ALG-thiomer surface charge plays an important role in signal acquisition. The ALG-thiomer platform was biofunctionalized with an aptamer selective for the internalin A protein on Listeria for biosensing applications. Aptamer loading was optimized and various cell capture strategies were investigated (brush extended versus collapsed). Maximum cell capture occurs when the ALG-thiomer/aptamer is in the extended conformation (pH > 3.5), followed by impedance measurement in the collapsed conformation (pH < 3.5). Low concentrations of bacteria (5 CFU mL^-1) were sensed from a complex food matrix (chicken broth) and selectivity testing against other Gram-positive bacteria (Staphylococcus aureus) indicate the aptamer affinity is maintained, even at these pH values. The new hybrid soft material is among the most efficient and fastest (17 min) for L. monocytogenes biosensing to date, and does not require sample pretreatment, constituting a promising new material platform for sensing small molecules or cells.

Sense–Analyze–Respond–Actuate (SARA) Paradigm: Proof of Concept System Spanning Nanoscale and Macroscale Actuation for Detection of Escherichia coli in Aqueous Media

Foodborne pathogens are a major concern for public health. We demonstrate for the first time a partially automated sensing system for rapid (~17 min), label-free impedimetric detection of Escherichia coli spp. in food samples (vegetable broth) and hydroponic media (aeroponic lettuce system) based on temperature-responsive poly(N-isopropylacrylamide) (PNIPAAm) nanobrushes. This proof of concept (PoC) for the Sense-Analyze-Respond-Actuate (SARA) paradigm uses a biomimetic nanostructure that is analyzed and actuated with a smartphone. The bio-inspired soft material and sensing mechanism is inspired by binary symbiotic systems found in nature, where low concentrations of bacteria are captured from complex matrices by brush actuation driven by concentration gradients at the tissue surface. To mimic this natural actuation system, carbon-metal nanohybrid sensors were fabricated as the transducer layer, and coated with PNIPAAm nanobrushes. The most effective coating and actuation protocol for E. coli detection at various temperatures above/below the critical solution temperature of PNIPAAm was determined using a series of electrochemical experiments. After analyzing nanobrush actuation in stagnant media, we developed a flow through system using a series of pumps that are triggered by electrochemical events at the surface of the biosensor. SARA PoC may be viewed as a cyber-physical system that actuates nanomaterials using smartphone-based electroanalytical testing of samples. This study demonstrates thermal actuation of polymer nanobrushes to detect (sense) bacteria using a cyber-physical systems (CPS) approach. This PoC may catalyze the development of smart sensors capable of actuation at the nanoscale (stimulus-response polymer) and macroscale (non-microfluidic pumping).

Electrochemical detection of food-spoiling bacteria using interdigitated platinum microelectrodes

The fast and non-destructive detection of bacterial attachment on food contact surfaces is important for the prevention of the unwanted formation of biofilms. Biofilms constitute a protected growth mode that allows bacteria to survive even in hostile environments. Therefore, the fast detection of bacterial attachment may be an effective strategy for biofilm control. In this study cyclic voltammetry (CV) was used to detect Bacillus subtilis ssp. subtilis, Paenibacillus polymyxa, Pseudomonas fragi attachment on interdigitated microelectrodes. The differences in current between the uncolonized sterile microelectrodes and the microelectrodes after bacterial attachment were determined. In addition, the surface coverage of microelectrodes was visualized using microscopy techniques. The results showed that the cyclic voltammetry in combination with interdigitated platinum microelectrodes can be used to detect bacterial biofilms.

A comparison of the performance of voltammetric aptasensors for glycated haemoglobin on different carbon nanomaterials-modified screen printed electrodes

The integration of carbon nanomaterials into electrochemical aptasensors has gained significant interest in the recent years because of their high electrical conductivity, mechanical strength, and large surface area. However, no comparative study has been reported so far between different carbon nanomaterials for aptasensing applications. Here, we report, a comparative investigation of six carbon electrode materials (carbon, graphene (G), graphene oxide (GO), multi-wall carbon nanotube (MWCNT), single walled carbon nanotube (SWCNT) and carbon nanofiber (CNF)) on the performance of glycated haemoglobin (HbA1c) aptasensor prepared by physical adsorption. The aptamers were non-covalently immobilized on the six nanomaterial electrodes via π-π stacking interactions between the DNA nucleobases and the surface of the carbon material which creates a barrier to the electron transfer. However, upon binding of the target protein to the aptamer, the aptamer dissociates from the surface leading to enhancement of the electron transfer which represent the basis of the detection. The aptamer adsorption, sensors responses and selectivity of the different nanomaterials were compared showing better performance of the SWCNT-based sensor. The voltammetric SWCNT aptasensors showed high sensitivity and selectivity with detection limits of 0.13 pg/mL and 0.03 pg/mL for total haemoglobin (tHb) and HbA1c, respectively. The aptasensor showed selectivity against other proteins in the blood including cystic fibrosis transmembrane conductance regulator (CFTR), survival motor neuron (SMN), dedicator of cytokinesis 8 (DOCK8), signal transducer and activator of transcription 3 (STAT3). This SWCNT aptasensor was superior to the reported detection assays for HbA1c in terms of sensitivity, selectivity and cost. Moreover, our results demonstrate that the choice of the carbon nanomaterial can have a profound impact on the biosensing performance.

Actuation of chitosan-aptamer nanobrush borders for pathogen sensing

We demonstrate a sensing mechanism for rapid detection of Listeria monocytogenes in food samples using the actuation of chitosan-aptamer nanobrush borders. The bio-inspired soft material and sensing strategy mimic natural symbiotic systems, where low levels of bacteria are selectively captured from complex matrices. To engineer this biomimetic system, we first develop reduced graphene oxide/nanoplatinum (rGO-nPt) electrodes, and characterize the fundamental electrochemical behavior in the presence and absence of chitosan nanobrushes during actuation (pH-stimulated osmotic swelling). We then characterize the electrochemical behavior of the nanobrush when receptors (antibodies or DNA aptamers) are conjugated to the surface. Finally, we test various techniques to determine the most efficient capture strategy based on nanobrush actuation, and then apply the biosensors in a food product. Maximum cell capture occurs when aptamers conjugated to the nanobrush bind cells in the extended conformation (pH < 6), followed by impedance measurement in the collapsed nanobrush conformation (pH > 6). The aptamer-nanobrush hybrid material was more efficient than the antibody-nanobrush material, which was likely due to the relatively high adsorption capacity for aptamers. The biomimetic material was used to develop a rapid test (17 min) for selectively detecting L. monocytogenes at concentrations ranging from 9 to 107 CFU mL-1 with no pre-concentration, and in the presence of other Gram-positive cells (Listeria innocua and Staphylococcus aureus). Use of this bio-inspired material is among the most efficient for L. monocytogenes sensing to date, and does not require sample pretreatment, making nanobrush borders a promising new material for rapid pathogen detection in food.

Post hoc support vector machine learning for impedimetric biosensors based on weak protein–ligand interactions

We develop a simple, open source machine learning algorithm for analyzing impedimetric biosensor data using a mobile phone.