Open access peer-reviewed chapter

Biosensor Platforms for Rapid Detection of E. coli Bacteria

Written By

Rodica Elena Ionescu

Submitted: May 4th, 2016 Reviewed: January 9th, 2017 Published: July 12th, 2017

DOI: 10.5772/67392

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Risks of contamination with the well-known food pathogen Escherichia coli are increasing over the years. Therefore, rapid and portable technologies using different types of advanced devices named biosensors with various transduction capabilities (electrochemical, optical, or acoustic) were developed and seem to offer the most elegant solutions for research communities and final users-humans. Thus, integration of microfluidic biochips/biosensors into smartphones offer the real-time detection of any infection with E. coli, helping doctors in proceeding immediately with the clinical treatment. The present chapter will discuss about the analytical performances of biosensors and microfluidics such as selection of substrates, type of (bio)functionalization, low limit of detection, specificity, and response time for monitoring different E. coli strains. Thus, it is possible to rapidly identify (30–90 s) very low concentrations of E. coli (101 CFU/mL) down to a single bacterium in real samples (water, urine, milk, beef-meat) by simple integration of an angle scatter method and microfluidic-cellulosic pads (μPAD) loaded with micro-/nanoparticles functionalized with either polyclonal anti E. coli antibodies or with DNA strains into a portable device—a smartphone. Such biosensor configuration can also be used for the detection of other types of microorganisms with potential human and animal health concerns.


  • biosensor platforms
  • electrode (bio)functionalization
  • E. coli
  • microfluidics
  • smartphone

1. Introduction

Coliforms or bacteria are commonly found in the digestive tracts of animals, humans, plants, and soils. Most coliforms do not cause diseases. However, the existences of “coliforms” with four genera (Escherichia, Citrobacter, Enterobacter, and Klebsiella) are indeed used as indicators to monitor their potential enteric pathogen contamination of waters [1]. One of the hundred strains of the bacterium Escherichia coli named E. coli O157:H7 is known as one of the most dangerous (for instance, Europe 2011) [2] gram-negative emerging cause of many foodborne and waterborne illnesses [3], bloody diarrhea (hemorrhagic colitis) [4], hemolytic-uremic syndrome (HUS) causing the kidney or renal failure, and hemolytic anemia (loss of red blood cells), which may lead to death, especially in children [5]. E. coli microorganisms (width ~ 0.6 μm, length ~ 1.6 μm) [6] produce the Shiga toxin that causes inflammation and secretion of intestinal fluids. Antibiotics and anti diarrheal medicines (such as Imodium) are not recommended for treating E. coli O157:H7 pathogenic infections.

Over the years, beside the relatively time-consuming and expensive conventional detection methods (e.g., evaluation of microorganism morphology, counting the bacteria colonies with Violet Red Bile Agar [7] after 72 h, investigations through the polymerase chain reaction (PCR) for amplification of low contents of bacterial nucleic acids), several methodologies with rapid detection using either laboratory instrumental methods (e.g., chromatography, infrared/epi-fluorescence microscopy [8], bioluminescence, flow laser cytometry and immunomagnetic separation [9], fluorimetry [10], etc) or portable, sensitive, and specific devices named biosensors have been reported [11]. Thus, in 1989, Karp's group [12] reported the development of the first biosensor using stable-light-emitting E. coli cells. Technically, a biosensor is a self-contained integrated device, which is capable of providing specific quantitative or semi-quantitative analytical information using a biological recognition element (biochemical receptor), which is in direct spatial contact with a transducer element [13]. Today, on the ISI Web of Science are reported more than 1220 publications about different biosensor configurations for the specific and selective detection of E. coli bacterial cells.

Biosensors are classified either as bioaffinity sensors when the biological recognition entity is an antigen/antibody (named immunosensors) [14] or a single strain DNA or ssDNA/RNA sequences (named DNA-/RNA sensors) immobilized onto a solid support via a linker molecule [15] that interact specifically with a target (named the complementary ssDNA-sequence to the ssDNA-probe), enzyme sensors, receptor ligand-binding sensors [16], and whole cell biosensors (named microbial sensors); or in function of the type of used physical transducer in electrochemical, optical, piezoelectric, and calorimetric (bio)sensors.

On the other hand, since early 1997 [17] bioluminescent genetically engineered E. coli microorganisms were intensively used as sensitive and friendly bioreporter's tools for screening the genotoxicity and cytotoxicity of various classes of water pollutants, endocrine disruptor's compounds, explosives [17, 18], and nanoparticles [1922].

This chapter presents the latest developments for the detection of E. coli strains using electrochemical, optical, and acoustic biosensors and their integration in microfluidic platforms as well as the next generation of portable biosensors using smartphones (Figure 1, Table 1).

Transduction methodBiofunctionalizationStrain of E. coli (analyte)MediaLOD/range (CFU/mL)Ref
Polyclonal-antibodies 10 μg mL−1 for 1 h, RT/DTSSP for overnight, 4°C/AuSPEs (Configuration 1)
Thiolated-polyclonal anti E. coli antibodies 200 μg mL−1 overnight, 4°C/AuSPEs (Configuration 2)
Wild-type E. coli (CECT 515)PBS buffer + redox probe3.3 (5.0–1.0 × 108)[24]
EISBiotinylated Con A-E. coli/Au-SPEWild type E. coli (CECT 515)PBS buffer + redox probe5.0 × 103 (5.0 × 103–5.0 × 107)[25]
Antibodies (24 h, 4°C)/indium-tin oxide (ITO)—interdigitated glass array microelectrodeE. coli O157:H7 (ATCC 43888)PBS buffer + redox probe1.0 × 106 (4.36 x 105–4.36 × 108)[26]
Antibodies (1 mg/ml, moisture chamber 24 h, 4°C)/GPTRES/indium-tin oxide (ITO)—glassE. coli O157: H7PBSM buffer6 × 105 cells/ml[27]
Monoclonal antibodies, 24 h, 4°C/EDC-NHS/MPA-SAM/Au-glass (Substrate preparation)
Bacteria + Biotinylated-E. coli polyclonal antibody/streptavidin superparamagnetic beads (Fluid preparation) (syringe pump, 20 min incubation time for immunocomplexes formation)
E. coli O157:H7 (strain B1409) (Prajna Biology Technique Shanghai)PBS buffer50 (50–500)[56]
FET0.1% Tween20/Ethanolamine/Polyclonal Antibodies/PBSE-linker/GrapheneE. coli K12 ER2925PBS buffer + traces of LB medium1.6 × 107[40]
SPRUV-light, 20 min, RT/Bacteria + Mixture of (HEMA/EGDMA/deionized water/MAH/the initiator AIBN)Dry bacteria/GA/APTES/Glass-slide (20 min, flow measurements)E. coli (Sigma-Aldrich)Aqueous solutions1.54 × 106 (0.5–4.0 McFarland*)[52]
ReflectivityE. coli suspensions or lysates, 1 h/K-7α12/OAK/MPTMS/PSiO2-waferE. coli, ATCC 8739Saline solution103 cells/mL (103–105 cells/mL)[28]
Chrono-fluorimetryssDNA 25 mer of 0.1 μM + EB/Ether wash/DMT-HEG, RT, 4 h/GPTES under argon at 80°C, 24 h/Silica optical fiber (10 min, flow measurements, response speed of 20–40 s 40°C)E. coli K12PBS solution10 pmol cDNA[1]
PrismNH2-ssDNA of 100 μM, 1 h at 37°C//HEPES, 10 min/PDC, 2 h/10 min at 100°C/APTES in water + ethanol, 20 min/ SiO2-TiO2—15 layers (air measurements after hybridization at 37°C for 2 h)E. coli O157 : H7 of Gene ID: 957271Air8.13 μM DNA[29]
FT-RISAntibodies 40 ng/mL, 24 h at 4°C/GA RT, 2.5 h/APTES 1.5 h/NaOH/Oxidized pSi-wafer (flow measurements, 15 min, dark conditions)E. coliMHB solution103 (103–107)[30]
Antibodies/Protein A/SAM/QCM-crystalE. coli O157: H7103–108 (CFU within 30–50 min)[31]
Iron magnetite-NPs coated with Streptavidin and polyclonal biotinylated antibodies/E. coli cells/Antibodies/ProteinA/QCM-crystal (7.99 MHz, NPs = 145 nm, 30 min stop-peristaltic flow measurements)E. coli O157: H7PBS buffer108[32]
Fe3O4—NPs coated BSA-Steptavidin/Biotinylated-DNA/BSA-blocker/ssDNA-thiol/QCM-crystal (8 MHz, NPs = 145 nm, flow measurements)E. coli O157: H7PBS buffer2.67 x 10−2 and 10−12 M DNA[33]
Ethanolamine/Polyclonal Antibodies/MUA-SAM/QCM-D (peristaltic flow measurements)E. coli MRE 162Air + PBS2.4 × 107[34]
Biotinylated polyclonal IgG antibodies/Avidin/NHS-PEG-biotin/Cysteamine/Au/Cr/LGS-crystal (syringe pump flow measurements at RT)Fluorescent labeled E. coli O157:H7PBS + BSA∼106 cells/mL[35]
QCMMixture of twice heated E. coli (first at 60°C for 30 min and second at 37°C prior use) and solute lyophilized TAL/Ag-QCM-crystal (9 MHz, peristaltic flow measurements at 37°C)E. coli in mixture with TALCulture medium~10 cells/mL[51]
Imprinting the bacteria on overoxidazed polypyrrole film/QCM-AT-crystalE. coli (Japan)Sterilized water103–109[6]
0.1% SDS Wash/Polymerization/Bacteria/Pre-Polymerization at 70°C, 15 min/DMMP-MIP (~300–400 nm) spin-coated onto QCM-sides with screen-printed dual electrode structures (10 MHz, peristaltic flow measurements at RT)E. coli strains b and w (Sigma)Aqueous solution0.1 mg/mL (0.1–5 mg/mL)[36]
UV-light 20 min, RT/Bacteria+Mixture of (HEMA/EGDMA/deionized water/MAH/the initiator AIBN)/Dry/Rinse-PEA/AM 12 h/QCM-crystal (7 min, flow measurements)E. coli (Sigma-Aldrich)Aqueous solutions3.72 × 105 (0.5–3.0 McFarland*)[52]

Table 1.

Different biosensor platforms for detection of E. coli bacteria.

Legend: MPA-Mercaptopropionic acid MPA; GPTRES-(3-glycidoxypropyl)trimethoxysilane: PBSM-6.7 mM [Fe(CN)6]3−/4− (1:1 mixture), MgCl2 and 3 mM 5-bromo-4-chloro-3-indolyl phosphate disodium salt hydrate; Con A-concavalin A; AuSPEs-gold screen printed electrodes; DTSSP-3,3′-dithiobis[sulfosuccinimidylpropionate]; PDC-diisothiocyanate; HEPES-4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid; EB-ethidium bromide intercalator; DMT-HEG-dimethoxytrityl hexaethylene glycol; PSiO2-oxidized porous silicon nanostructure; OAKs-oligomers of acylated lysines; K-7α12 - synthetic antimicrobial peptide with similar name K-[C12K]7, where K-lysine; MPTMS-mercaptopropyltrimethoxysilane; MES-morpholinoethanesulfonic acid; AEE-2-(2-aminoethoxy)ethanol; GPTES-3-Glycidoxy-propyldimethoxymethylsilane; CFU-Colony Forming Units; SAM-self-assembled monolayer; MUA, 11-mercaptoundecanoic acid, QCM-D, quartz crystal microbalance with dissipation shifts capability; BSA-bovine serum albumin; TAL-tachypleus amebocyte lysate; PBSE-1-pyrenebutanoic acid succinimidyl ester in dimethylformamide (DMF); LB-Luria Bertani medium; MIP-molecular imprinted polymer; DMMP-dimethyl methyl phosphonate; RT-room temperature; SDS-sodium dodecyl sulfate solution; AM-allyl mercaptan; PEA-pure ethyl alcohol; GA-glutaraldehyde; APTES-(3-Aminopropyl)-trimethoxysilane; HEMA-2-hydroxyethyl methacrylate; EGDMA-ethylene glycol dimethacrylate; AIBN-α,α′-azoisobutyronitrile; FT-RIS-Fourier Transformed Reflectometric Interference Spectroscopy; MHB-Mueller-Hinton broth; *MsFarland-McFarland Equivalence Standards [37]-units for adjusting densities of bacterial suspensions: 1.5–12 x 108 cells (SPR) and 1.5–3 x 108 cells (QCM)range (for Ref. [52]); PBS solution of pH 7.4 containing 10 mM [Fe(CN)6]3−/4− (1:1) for Interdigitated array (IDA) microelectrode (1.4 cm x 0.5 cm)-each electrode had 25 digital pairs with 15 μm digit width, 15 μm interdigit space, and a digit length of 2985 μm.

Figure 1.

Optics and electrochemistry connected to smartphones for the detection of E. coli bacteria. For instance, an electrochemical system includes an Android cellphone (HTC ONE X), a Bluetooth shield (Seeed SLD63030P), a micro controller (Arduino), a chip for impedance converter network analyzer (AD 5933), and packaged sensor [66]. Also an Xcode (Apple, CA, USA), which allows users to take pictures at the four specific angles of scatter detection (15°, 30°, 45°, and 60°) at a fixed distance is reported [62]. CV—cyclic voltammetry, EIS—electrochemical impedance spectroscopy.


2. Biosensor platforms for the quantification of E. coli

Optical-based surface plasmon resonance and acoustic quartz crystal microbalance biosensors are known for their analytical performances in terms of label free and real-time detection capabilities, fast and stable response time, and target low detection limits. Furthermore, electrochemical impedance spectroscopy (EIS) label free biosensors are suitable for electrical characterization (such as double layer capacitance, solution resistance, electron transfer resistance, and Warburg impedance) of biocatalytic transformations on electrode surfaces after each biofunctionalization step [23].

2.1. Electrochemical biosensors

In January 2016, it has been reported for the first time an amperometric detection of PCR products (longer DNA chain's) by using three modified magneto working electrodes (m-GEC) with silica magnetic beads (0.05 mg) functionalized with either digoxigenin-tagged amplicon of the eaeA gene for E. coli (151 bp), fluorescein-tagged amplicon of the invA gene for Salmonella enterica (278 bp) or streptavidin-tagged amplicon of the pfrA gene for Listeria monocytogenes (217 bp) as specific carriers for independent magneto-genosensing amperometric investigations of single-tagged amplicons originated from three bacteria strains: E. coli K12, S. enterica Typhimurium LT2 and L. monocytogenes DSM20600 (DSMZ), respectively. Such amperometric magneto-silica beads platform was using HRP-labeled antibodies and the same redox mediator (HQ-hydroquinone) and substrate (H2O2) (Figure 2) in a unique electrochemical cell connected to a multichannel potentiostat and was able to identify 0.04, 0.13, and 0.05 ng/μL DNA of S. enterica, L. monocytogenes, and E. coli, respectively, in about 3 h, including PCR amplification time [38].

Figure 2.

The construction of three configurations of DNA-amperometric magneto-genosensors for the independent detection of S. enterica Typhimurium LT2, L. monocytogenes DSM20600, and E. coli K12 strains. Type of used antibodies: AntiFlu-HRP (Anti-Fluorescein-Fab fragments), Strep-HRP (Streptavidin-POD conjugate), and AntiDig-HRP (Anti-Digoxigenin-POD Fab fragments). HQ-hydroquinone; Q-quinone. All bacterial strains were grown in Luria Bertani (LB) broth or agar plates for 18 h at 37°C.

Label-free impedimetric immunosensors-based ITO substrates modified with epoxysilane and anti E. coli antibodies were used for detection of E. coli O157:H7 over a large linear working range (10–106 CPU/mL) with a limit of detection (LOD) of 1 CPU/mL were also reported. Moreover, the authors demonstrated the specific binding of E. coli O157:H7 to the antibody-patterned surface (only 20% of non specific bacteria) (Figure 3) using control bacteria strains such as Salmonella typhimurium and E. coli K12 [39].

Figure 3.

Electrochemical cell l using silanized ITO-electrodes and antibodies for specific detection of S. typhimurium and E. coli K12 strains.

Impedimetric gold screen printed electrodes (AuSPEs) modified with thiolated E. coli antibodies were fabricated for the detection of E. coli at 10 CFU/mL level in river and tap water samples [24]. Another example of using EIS principles for specific detection of E. coli O157:H7 on ITO-based interdigitated microelectrode array in the presence of ([Fe(CN)6]3−/4) electroactive redox probe (Figure 4) was also reported. Thus, it was found a direct correlation between the electron transfer resistance of the electrode (27.8%) and the concentration of E. coli cells (2.6 x 107 cells) upon their binding onto antibodies-based ITO array [26].

Figure 4.

Direct impedance measurements using interdigitated immunosensors on ITO-glass support in the presence of ([Fe(CN)6]3−/4) redox probe for the detection of E. coli O157:H7 cells.

In another work, epoxysilanized ITO glass-modified with anti E. coli antibodies were used for EIS and atomic force microscopy (AFM) detection and topography investigations in the presence of different concentrations of E. coli. The research team found that E. coli cells and insoluble precipitate mainly affected the electron transfer resistance and Warburg impedance even though the (3-glycidoxypropyl)trimethoxysilane chemical formed after immersion protocol over night at room temperature was uniform, dense, and homogeneous SAM monolayer onto ITO substrate. In this study, an enzyme labeled secondary antibodies namely alkaline phosphatase labeled secondary antibodies and its specific substrate 5-bromo-4-chloro-3-indolyl phosphate disodium were used for signal amplification of antibody bacterial interactions (Figure 5) [27].

Figure 5.

Silanization of ITO substrates with 3-glycidoxypropyl)trimethoxysilane (GPTMS) for further biofunctionalization with anti-E. coli antibodies.

Recently, homemade graphene-based field effect transistor (FET) Si/SiO2—sensors for recording in real-time the proportional bias current signal responses in the presence of three different concentrations (1.6 × 107 CFU/mL, 1.67 × 107 CFU/mL, and 1.7 × 107 CFU/mL, respectively) of a nonpathogenic strain E. coli K12 ER2925 were reported [40]. Graphene FET biosensors were also developed to detect E. coli by recording the proportional increases in conductance values for different bacteria concentrations ranging from 0 to 105 CFU/mL. Artificial neural network and support vector regression algorithms have also been proposed for the I-V characteristics [41].

2.2. Optical biosensors

Fluorescence detection of several biomolecules in parallel using a sheath flow device with one inlet and five outlets has been reported [42]. On the other hand, it has been reported on the successful use of annealed (150°C for 4 h)/ultrasonicated mixtures of aqueous solutions of gold nanoparticles (Au-NPs ranging from 40 to 100 nM), and oxidized multi-walled carbon nanotubes (MWCNTs) for bacterial adhesion investigations of four different concentrations of E. coli namely 102, 103, 104, and 105/mL, respectively. The authors concluded that for increased contents of Au-NPs in composites, the Raman signals for higher E. coli concentrations improved, as bacteria have more Au-NPs to attach due to the transfer of its negative charge to MWCNTs [43]. Interestingly, bacterial anti-adhesive materials named “Rice leaf-like surfaces” (RLLS) (Figure 6) inspired by the hollowed morphology of rice leaves (Oryza sativa L. ssp. japonica cv. Calmati-202) were prepared on SiO2-quartz glasses by a templateless, self-masking reactive ion etching approach with high optical-grade transparency properties (i.e., ≥92% transmission). The anti-adhesion property of E. coli O157:H7 during the dynamic flow conditions onto RLLS substrates was validated through fluidic channels at low flow (shear) rates and transmission spectra investigations at a wavelength range of 400–800 nm [44].

Figure 6.

Bacterial (anti)adhesion on RLSS—substrates (a) and bacterial (S. aureus) adhesion on hydrophobic quartz (b). Reprinted with permission from Ref. [44] Copyright (2015) American Chemical Society.

Label-free optical biosensors based on nanostructured (∼50–100 nm) porous silicon (PSiO2) thin films modified with synthetic peptide sequence K-7α12 OAKs (similar name K-[C12K]7, with K-lysine, and oligomers of acylated lysines-K) as a novel capture probe for whole bacteria E. coli ATCC 8739 and its lysates detection were reported [28] (Figure 7). Control experiments with neat and thiol-modified PSiO2 (with no OAKs) exposed to lysate suspension of Listeria innocua and Erwinia carotovora (105 cells/mL) were also conducted to eliminate the possibility of non specific adsorption of bacterial lysate to the silicon-based surface. The same research team concluded that with K-7α12 OAK-tethered PSiO2 substrates was possible to achieve one order of magnitude improvement in the low detection limit in comparison with a previous team studies using monoclonal antibodies [45].

Figure 7.

OAK-modified porous silicon (PSiO2) modified with the synthetic peptide sequence K-7α12 OAK for the detection of E. coli ATCC 8739 and its lysates. MPTMS - mercaptopropyltrimethoxysilane.

The ability of ssDNA probe for the lacZ gene of E. coli K12 (25 mer) covalently immobilized onto HEG/GOPS-silanized fused silica optical fiber (400 μm i.d. × 48 mm length) with a strong hybridization in the presence of its fully complementary target 10 pmol cDNA E. coli (25 mer lacZ), and ethidium bromide intercalator was reported. For systematic (bio)functionalization steps, the fibers were inserted into a holder system with cylindrical bores that accommodated maximum eight fibers at the time. Moreover, PCR amplicons of 100 m length containing the fragment of the lacZ sequence, and genomic DNA from E. coli were optically investigated. However, the authors mentioned that the optical system was not optimized for sensitivity whereas a significantly faster rate of non selective adsorption of non complementary oligonucleotides (25 mer to approximately 600 mer—ncDNA) than hybridization of complementary oligomers (cDNA) was recorded [1].

2.3. Acoustic biosensors

Commonly used acoustic wave biosensors are based on a thickness share mode (TSM) device [46] known as quartz crystal microbalance (QCM), which are classified as bulk acoustic wave (BAW) devices. Thus, since 1980, various chemical and biological BAW sensors for the detection of either organic solvents or biomolecules have been reported [47]. Moreover, shear horizontal surface acoustic wave (SH-SAW), surface transverse wave (STW), love wave (LW), flexural plate wave (FPW), shear horizontal acoustic plate mode (SH-APM), and layered guided acoustic plate mode (LG-APM) have demonstrated a high sensitivity in the detection of biomolecules in liquid media [48]. E. coli O157:H7 cells were also detected using shear horizontal surface acoustic wave IDTs sensors connected to a computer aid design (CAD) software [49].

A functional mannose self-assembled monolayer in combination with lectin concanavalin A (Con A) for the detection of E. coli W1485 using a QCM as transducer was reported [50]. The multivalent binding of Con A to the E. coli surface O-antigen favors the strong adhesion of the bacteria to the mannose-modified QCM surface. The minimal detection threshold was 7.5 × 102 CFU/mL.

Air samples containing four biological warfare agents including E. coli MRE 162 (collected using a “cyclone” sampler (Biotrace International, UK) and concentrated in collecting buffer PBS Tween—0.01% v/v) were detected in parallel using a flow-through system with four piezoelectric QCM crystals biofunctionalized with polyclonal antibodies located in separate fluidic chambers in the first attempt to determine the low level of detection as well as the specificity of each agent binding to its specific immobilized antibodies [34].

SH-SAW devices fabricated on langasite (LGS, La3Ga5SiO14) - crystal sputtered with chromium/gold layers accommodated interdigitated transducers (each IDT consisted of 240 electrodes) and a gold platform region for subsequent (bio)functionalization steps with cysteamine/NHS-PEG-biotin/Avidin/Biotinylated polyclonal rabbit immunoglobulin G (IgG) antibody directed against fluorescently labeled E. coli were imaged with a cooled CCD camera on a BX51 fluorescence microscope. Furthermore, The MetaMorph software was used for counting the cells and analyzing their selective binding to anti-O157:H7 LGS-slide versus non selective binding to an anti- trinitrophenyl hapten modified LGS-slide (control experiments) [35].

A simple and rapid method (less than 90 min) that combined the bulk acoustic wave (BAW) technique based on Ag-plated AT cut 9 MHz quartz crystal (diameter 12.5 mm) with the gelation reaction of tachypleus amebocyte lysate (TAL), was used for viscosity and density measurement, of Escherichia coliform in very small mixed volumes (100 μL) was reported. A thermostat was used to control the reaction temperature at 37°C through a thermostatic water jacket. Thus, the frequency decreases very slowly after an initial lag time according to the progress of gelation of TAL, then drops quickly and a sudden change (its mechanism is still under investigation) followed, with finally a constant value after the completion of the gelation. E. coli of unknown concentration was determined using a regression equation. The linear range of detected E. coli was recorded for 2.7 × 104–2.7 × 108 cells/mL [51].

Microcontact imprinted QCM crystal and SPR glass with E. coli cells were obtained by a sandwich approach based on HEMA/EGDMA/deionized water/MAH/the initiator AIBN containing stock monomer solution. A 3 μL aliquot was taken from the stock monomer solution and dropped onto the allyl mercaptan modified SPR and QCM chips. Thus, the limit of detection (LOD) and the limit of quantification (LOQ) were found as 3.72 × 105 CFU/mL and 1.24 × 106CFU/mL with QCM system whereas 1.54 × 106 CFU/mL and 5.13 × 106 CFU/mL with SPR system (Figure 8). The microcontact imprinted QCM crystal and SPR glass selectivity and specificity were proved in the presence of Bacillus and Streptococcus of 0.5 McFarland (1.5 x 108 cells). Bacillus was selected due to its morphological similarity to E. coli whereas Streptococcus as a gram-positive bacteria. The authors concluded that both sensor surfaces have the ability to recognize E. coli with high affinity due to the obtained recognition cavities via microcontact imprinted glass with E. coli [52].

Figure 8.

Surface plasmon resonance (SPR) and quartz crystal microbalance (QCM) sensors using microcontact imprinted polymer with either E. coli (for specific detection) or Bacillus and Streptococcus (for non-specific detection).

2.4. Microfluidic biochips

From the beginning, microfluidic biochips or lab-on-chip biosensors strongly attract interest of different research communities (physics, chemistry, biology, and business entrepreneurs) due to their undeniable advantages in terms of measurements in real environments of tested biomolecules, low volumes of bioreagents, small variations of temperature, and low cost of fabrication of flow cell usually based on poly(dimethylsiloxane) (PDMS) material that can be disposable. Several biological applications have been reported based on microfluidics including studies. Some are discussed in this section.

Poly(lactic acid) (PLA)/PLA-PEG–based electrospun nanofibers (NFs) and K3-Brij76 (KB) polymer were used for colorimetric single-step paper-based lateral flow assays (LFA) for the rapid detection of 1.9 × 104 cells E. coli O157:H7 bacteria through a well-known sandwich configuration: HRP-labeled secondary antibodies/streptavidin-conjugated sulforhodamine B (SRB)–encapsulating liposomes/anti E. coli captured antibodies adsorbed onto PLA-PEG NFs (Figure 9) [53].

Figure 9.

Colorimetric detection of E. coli bacteria using lateral flow (LFA) principles on nitrocellulose paper. In the absence of E. coli, the HRP antibodies flow through the nanofiber pad and no optical signal is observed.

A high-throughput PDMS microfluidic system with seven parallel channels (each channel contains 32 square-shaped microchambers) was employed for long-term growth monitoring of E. coli HB101 (2.0 × 109 CFU/mL) growth monitoring and for the studies of inhibitory effects of various concentrations of two antibiotics (tetracycline and erythromycin at 0–4 μg/mL and 0–8 μg/mL, respectively) over bacterial cells. For flow antibiotic(Figure 10) sequential measurements were used bacterial suspensions at their stationary-growth phase. It was found that in the presence of at least 3 μg/mL tetracycline or erythromycin, the E. coli morphology remained similar to that of normal bacterial growth states cultured in the absence of antibiotics, whereas in the presence of 3 μg/mL tetracycline for 8 h bacteria became filamentous [54]. Moreover, the mechanism of formation of long filamentous bacteria in the presence of cephalexin antibiotic was also studied with molecular biology techniques [55].

Figure 10.

Configuration of the microfluidic device with multichannels.

In June 2016, it was reported the fabrication of tortuous-shaped giant magnetoimpedance (GMI) sensor (working frequency 2.2 MHz) integrated into a microfluidic device (MFD) (Figure 11) using a homemade gold nanofilm biofunctionalized with monoclonal anti E. coli antibodies, E. coli bacteria/biotinylated polyclonal antibodies/streptavidin-labeled superparamagnetic beads (2.8 μm) and sensitive and specific detection of different concentrations of E. coli O157:H7 (50–500 CFU/mL) [54].

Figure 11.

Tortuous-shaped giant magnetoimpedance (GMI) gold based-sensor for microfluidic detection of E. coli.

Electrochemically etched porous silicon (pSi) with ordered nanopore array integrated into a microfluidic PDMS channel was used for reflectivity effective optical thickness/fluorescence detection of specific (E. coli, ranging from 103 to 107 CFU/mL) and non specific (NOX and P17 strains) bacteria after their staining with a mixed solution of SYTO9 and propidium iodide, and confirmed by a significant pore blockage (specific) or any pore blockage (non specific) effects [30].

Sputtered nanofibers (NFs) of different densities (one layer sparse or larger pore sizes, one layer dense or smaller pore sizes, two layer sparse, two layer dense, three layer sparse, and three layer dense) with either positive or negative charge were tested for maximizing the amount of E. coli K12 cells retained. For microfluidic investigations, nanofiber multilayers proved more homogeneous morphologies and were subsequently transferred onto poly(methyl methacrylate) (PMMA) films. Experimentally, negatively charged fibers spun with poly(methyl vinyl ether-alt-maleic anhydride) [PVApoly(MVE/MA)] of 300–400 nm and positively charged nanofibers of 450–550 nm have been employed. It was found that three layers sparse negatively charged NFs significantly reduced the non specific analyte (bacteria) retention (17%), whereas positive charged NFs were used for the detection of different concentrations of E. coli K12 (87%). For this work, polyclonal anti E. coli antibodies were immobilized via EDC/sulfo-NHS chemistry on negatively charged NFs in order to selectively capture the negatively charged E. coli cells over 60 min using a syringe flow system and counted the number of colonies in the resulted effluent (low—average number of colonies in inlet solution was 62 CFU/mL) [57].


3. Conclusions

Paper microfluidics and smartphone technology were used for the detection of E. coli in real water sample using beads functionalized with anti E. coli antibodies predeposited in two out of a three channel paper device. It was found that by integration an internal gyroscope into a smartphone at an optimized angle of scatter detection, the presence of a single cell level in 90 s was possible [58]. Furthermore, a droplet-based, multiplexed fluorescence/light scatter submicron polystyrene particles functionalized with rabbit polyclonal anti K12 antibodies using nanofibrous substrate for the detection of 102 CFU/mL E. coli K-12 and T. S. typhimurium were reported in 2015. For experiments, all reagents were preimmobilized at fixed locations and included into two smartphones with necessary filters: one for incidence and the other for detection, positioned at 90° angle [59]. A microfluidic-cellulosic pad (μPAD) was loaded with polystyrene particles functionalized with polyclonal anti E. coli K12 antibodies and used for the detection of 10 CFU/mL E. coli K-12 in the human urine in about 30 s with a smartphone [60]. E. coli K-12 (101 CFU/mL) was detected in water sample (30 s) using also the principles of a μPAD-pad modified with antibodies coated particles and scattering intensity recorded by a smartphone with an autoexposure and autofocus locked on the central paper channel surface at 65° [61]. Identification of contaminated ground beef meat with various concentration of E. coli was possible without the need of functionalized particles with antibodies just by recording the resulted scattering light values at different angles with a smartphone after exposure to a perpendicular irradiation at 880 nm NIR-LED system. Therefore, different low detection limits were recorded: 101 CFU/mL at 45° and 102 CFU/mL at 30° and 60°. However, this method suffers from impossibility of distinguishing between different similar bacteria species (e.g., E. coli and Salmonella spp.) [62]. Moreover, the development of the first integrated paper-based DNA genosensor including nucleic acid extraction, amplification, and visual detection in about 1 h of E. coli (10–1000 CFU/mL) in spiked drinking water, milk, blood, and spinach using a smartphone was reported [63].

In conclusion, biosensors [62, 64, 65] and microfluidics [66] in combination with smartphone technology hold great hope that E. coli and various other coliforms may be detected in real time avoiding human suffering and save lives.


  1. 1. Almadidy A, Watterson J, Piunno PAE, Raha S, Foulds IV, Horgen PA, Castle A, Krull U. Direct selective detection of genomic DNA from coliform using a fiber optic biosensor. Analytica Chimica Acta. 2002;461:37-47. DOI: 10.1016/S0003-2670(02)00243-X
  2. 2. Roda A, Mirasoli M, Roda B, Bonvicini F, Colliva C, Reschiglian P. Recent developments in rapid multiplexed bioanalytical methods for foodborne pathogenic bacteria detection. Microchimica Acta. 2012;178:7-28. DOI: 10.1007/s00604-012-0824-3
  3. 3. 1-4 [Accessed 2016-10-12]
  4. 4. Buchanan RL, Doly MP. Foodborne disease significance of Escherichia coli O157:H7 and other enterohemorrhagic E. coli. Food Technology. 1997;51:69-76.
  5. 5. Rowe PC, Orrbine E, Wells GA, McLaine PN. Epidemiology of hemolytic-uremic syndrome in Canadian children from 1986 to 1988. The Journal of Pediatrics. 1991;119:218-224. DOI: 10.1016/S0022-3476(05)80730-9
  6. 6. Tokonami S, Nakadoi Y, Takahashi M, Ikemizu M, Kadoma T, Saimatsu K, Dung LQ, Shiigi H, Nagaoka T. Label-free and selective bacteria detection using a film with transferred bacterial configuration. Analytical Chemistry. 2013;85:4925-4929. DOI: 10.1021/ac3034618
  7. 7. Speak ML, Compendium of Methods for the Microbiological Examination of Foods, American Public Health Association, Washington, DC, 1976.
  8. 8. Pyle BH, Broadaway SC, McFetters GA. A rapid, direct method for enumerating respiring enterohemorrhagic Escherichia coli O157:H7 in water. Applied and Environmental Microbiology. 1995;61:2614-2619.
  9. 9. Pyle BH, Broadaway SC, McFetters GA. Sensitive detection of Escherichia coli O157:H7 in food and water by immunomagnetic separation and solid-phase laser cytometry. Applied and Environmental Microbiology. 1999;65:1966-1972.
  10. 10. McFeters GA, Pyle BH, Lisle JT, Broadaway SC. Rapid direct methods for enumeration of specific, active bacteria in water and biofilms. Journal of Applied Microbiology Symposium Supplement. 1999;85:193s–200s. DOI: 10.1111/j.1365-2672.1998.tb05299.x
  11. 11. Ivnitski D, Abdel-Hamid I, Atanasov P, Wilkins E. Biosensors for detection of pathogenic bacteria. Biosensors and Bioelectronics. 1999;14:599-624. DOI: 10.1016/S0956-5663(99)00039-1
  12. 12. Korpela M, Mantsala P, Lilius EM, Karp M. Stable-light-emitting Escherichia coli as a biosensor. Journal of Bioluminescence and Chemiluminescence. 1989;4:551-554. DOI: 10.1002/bio.1170040172.
  13. 13. Thevenot DR, Toth K, Durst RA, Wilson GS. Electrochemical biosensors: Recommended definitions and classification. Pure and Applied Chemistry. 1999;7:2333-2348.
  14. 14. Salgado AM, Silva LM, Melo AF. Biosensor for environmental applications. In: Vernon Somerset. Environmental Biosensors: InTech. 2011. pp. 1-16. DOI: 10.5772/20154
  15. 15. Watterson JH, Piunno PAE, Wust CC, Raha S, Krull UJ. Influences of non-selective interactions of nucleic acids on response rates of nucleic acid fiber optic biosensors. Fresenius Journal of Analytical Chemistry. 2001;369:601-608. DOI: 10.1007/s002160000683
  16. 16. de Jong LA, Uges DR, Franke JP, Bischoff R. Receptor–ligand binding assays: Technologies and applications. Journal of Chromatography B. 2005;829:1-25. DOI: 10.1016/j.jchromb.2005.10.002
  17. 17. Burlage RS, Patek DR, Everman KR. Method for detection of buried explosives using a biosensor U.S. Patent No. 5,972,638. Washington, DC: U.S. Patent and Trademark Office. 1997.
  18. 18. Tan J, Kan N, Wang W, Ling J, Qu G, Jin J, Shao Y, Liu G, Chen H. Construction of 2,4,6-trinitrotoluene biosensors with novel sensing elements from Escherichia coli K-12 MG1655. Cell Biochemistry and Biophysics. 2015;72:417-428. DOI: 10.1007/s12013-014-0481-8
  19. 19. Jia K, Ionescu RE. Measurement of bacterial bioluminescence intensity and spectrum: Current physical techniques and principles. Advances in Biochemical Engineering/Biotechnology. 2016;154:19-45. DOI: 10.1007/10_2015_32
  20. 20. Jia K, Eltzov E, Toury T, Marks RS, Ionescu RE. A lower limit of detection for atrazine was obtained using bioluminescent reporter bacteria via a lower incubation temperature. Ecotoxicity and Environmental Safety. 2012;84:221-226. DOI: 10.1016/j.ecoenv.2012.07.009
  21. 21. Jia K, Eltzov E, Marks RS, Ionescu RE. Bioluminescence enhancement through an added washing protocol enabling a greater sensitivity to carbofuran toxicity. Ecotoxicity and Environmental Safety. 2013;96:61-66. DOI: 10.1016/j.ecoenv.2013.06.013
  22. 22. Jia K, Marks RS, Ionescu RE. Influence of carbon-based nanomaterials on lux-bioreporter Escherichia coli. Talanta. 2014;126:208-213. DOI: 10.1016/j.talanta.2014.03.024
  23. 23. Maalouf CR, Coste J, Fournier-Wirth R, Chebib H, Saïkali Y, Vittori O, Errachid A, Cloarec J-P, Martelet C, Jaffrezic-Renault N. Label-free detection of bacteria by electrochemical impedance spectroscopy: Comparison to surface plasmon resonance. Analytical Chemistry. 2007;79:4879-4886. DOI: 10.1021/ac070085n
  24. 24. Escamilla-Gomez V, Campuzano S, Pedrero M, Pingarron JM. Gold screen-printed-based impedimetric immunobiosensors for direct and sensitive Escherichia coli quantisation. Biosensors and Bioelectronics. 2009;24:3365-3371. DOI: 10.1016/j.bios.2009.04.047
  25. 25. Gamella M, Campuzano S, Parrado C, Reviejo AJ, Pingarron JM. Microorganisms recognition and quantification by lectin adsorptive affinity impedance. Talanta. 2009;78:1303-1309. DOI: 10.1016/j.talanta.2009.01.059
  26. 26. Yang LJ, Li YB, Erf GF. Interdigitated array microelectrode-based electrochemical impedance immunosensor for detection of Escherichia coli O157:H7. Analytical Chemistry. 2004;76:1107-1113. DOI: 10.1021/ac0352575
  27. 27. Yang L, Li Y. AFM and impedance spectroscopy characterization of the immobilization of antibodies on indium–tin oxide electrode through self-assembled monolayer of epoxysilane and their capture of Escherichia coli O157:H7. Biosensors and Bioelectronics. 2005;20:1407-1416. DOI: 10.1016/j.bios.2004.06.024.
  28. 28. Tenenbaum E, Segal E. Optical biosensors for bacteria detection by a peptidomimetic antimicrobial compound. Analyst. 2015;140:7726-7733. DOI: 10.1039/c5an01717c
  29. 29. Bahşi ZB, Büyükaksoy A, Ölmezcan SM, Şimşek F, Aslan MH, Oral AY. A novel label-free optical biosensor using synthetic oligonucleotides from E. coli O157:H7: Elementary sensitivity tests. Sensors. 2009;9:4890-4900. DOI: 10.3390/s90604890
  30. 30. Tang YY, Li Z, Luo QH, Liu JQ, Wu JW. Bacteria detection based on its blockage effect on silicon nanopore array. Biosensors and Bioelectronics. 2016;79:715-720. DOI: 10.1016/j.bios.2015.12.109.
  31. 31. Su XL, Li Y. A QCM immunosensor for Salmonella detection with simultaneous measurements of resonant frequency and motional resistance. Biosensors and Bioelectronics. 2004;19:563-574. DOI: 10.1016/S0956-5663(03)00254-9
  32. 32. Liu F, Li Y, Su XL, Slavik MF, Ying Y, Wang J. QCM immunosensor with nanoparticle amplification for detection of Escherichia coli O157:H7. Sensing and Instrumentation for Food Quality and Safety. 2007;1:161-168. DOI: 10.1007/s11694-007-9021-1
  33. 33. Mao X, Yang L, Su XL, Li Y. A nanoparticle amplification based quartz crystal microbalance DNA sensor for detection of Escherichia coli O157:H7. Biosensors and Bioelectronics. 2006;21:1178-1185. DOI: 10.1016/j.bios.2005.04.021
  34. 34. Lava T, Berthet-Duroure N, Ayela C, Trevisiol E, Pugniere M, Morel Y, Rameil P, Nicu L. Parallel acoustic detection of biological warfare agents surrogates by means of piezoelectric immunochips. Sensors and Actuators B-Chemical. 2009;138:532-538. DOI: 10.1016/j.snb.2009.02.060
  35. 35. Berkenpas E, Millard P, Pereira da Cunha M. Detection of Escherichia coli O157:H7 with langasite pure shear horizontal surface acoustic wave sensors. Biosensors and Bioelectronics. 2006;21:2255-2262. DOI: 10.1016/j.bios.2005.11.005
  36. 36. Findeisen A, Wackerlig J, Samardzic R, Pitkänen J, Anttalainen O, Dickert FL, Lieberzeit PA, Artificial receptor layers for detecting chemical and biological agent mimics. Sensors and Actuators B-Chemical. 2012;170:196-200. DOI: 10.1016/j.snb.2011.08.025
  37. 37. [Accessed 2016-10-12]
  38. 38. Liébana S, Brandão D, Cortés P, Campoy S, Alegret S, Pividori MI. Electrochemical genosensing of Salmonella, Listeria and Escherichia coli on silica magnetic particles. Analytica Chimica Acta. 2016;904:1-9. DOI: 10.1016/j.aca.2015.09.044
  39. 39. Barreiros dos Santos M, Azevedo S, Agusil JP, Prieto-Simón B, Sporer C, Torrents E, Juárez A, Teixeira V, Samitier J. Label-free ITO-based immunosensor for the detection of very low concentrations of pathogenic bacteria. Bioelectrochemistry. 2014;101:146-152. DOI: 10.1016/j.bioelechem.2014.09.002
  40. 40. Zhu JY, Niu FZ, Zhu CA, Yang J, Xi N. Graphene-based FET detector for E. coli K12 real-time monitoring and its theoretical analysis. Journal of Sensors. 2016;ID 4641398:1-9. DOI: 10.1155/2016/4641398
  41. 41. Akbari E, Buntat Z, Afroozeh A, Zeinalinezhad A, Nikoukar A. Escherichia coli bacteria detection by using graphene-based biosensor. IET Nanobiotechnology. 2015;9:273-279. DOI: 10.1049/iet-nbt.2015.0010
  42. 42. Ozaki K, Sugino H, Arakawa T, Shirasaki Y, Funatsu T, Shoji S. High performance multiple E. coli cell sorting system using thermosensitive hydrogel and fluorescence spectrum detection. In: Proceedings 13th International Conference on Miniaturized Systems for Chemistry and Life Sciences (mTAS’09); 1-5 November 2009; Korea; Jeju. 2006. pp. 1856-1858
  43. 43. Mehmood S, Naeem A, Sabahat S, Ciancio R, Carlino E, Bhopal MF, Bhatti AS. Modified structural and optical characteristics of Au-NPs-MWCNTs nanohybrids. Superlattices and Microstructures. 2015;81:248-264. DOI: 10.1016/j.spmi.2015.01.020
  44. 44. Oh JK, Lu X, Min YJ, Cisneros-Zevallos L, Akbulut M. Bacterially antiadhesive, optically transparent surfaces inspired from rice leaves. ACS Applied Materials & Interfaces. 2015;7:19274-19281. DOI: 10.1021/acsami.5b05198
  45. 45. Massad-Ivanir N, Shtenberg G, Tzur A, Krepker MA, Segal E. Engineering nanostructured porous SiO2 surfaces for bacteria detection via “direct cell capture”. Analytical Chemistry. 2011;83:3282-3289. DOI: 10.1021/ac200407w
  46. 46. Kogai T, Yatsuda H. 3F-3 Liquid sensor using SAW and SH-SAW on quartz. IEEE Ultrasonics Symposium. 2006:552-555. DOI: 10.1109/ULTSYM.2006.143
  47. 47. Yao SZ, Zhou TA. Dependence of the oscillation frequency of a piezoelectric crystal on the physical parameters of liquid. Analytica Chimica Acta. 1988;212:61-72. DOI: 10.1016/S0003-2670(00)84129-X
  48. 48. Rocha-Gaso MI, March-Iborra C, Montoya-Baides A, Arnau-Vives A. Surface generated acoustic wave biosensors for the detection of pathogens: A review. Sensors. 2009;9:5740-5769. DOI: 10.3390/s90705740
  49. 49. Ten ST, Hashim U, Sudin A, Liu WW, Foo KL, Salleh NHM, Hisham H, Nazwa T. Design development of acoustic waves based sensitive sensors for Escherichia coli O157:H7 detection. In: Proceedings of the Joint International Conference on Nanoscience, Engineering and Management (BOND21); 19-21 August 2013; Malaysia. Penang. Micro/Nano Science and Engineering. 2014, 925. pp. 590-594.
  50. 50. Shen Z, Huang M, Xiao C, Zhang Y, Zeng X, Wang PG. Nonlabeled quartz crystal microbalance biosensor for bacterial detection using carbohydrate and lectin recognitions. Analytical Chemistry. 2007;79:2312-2319. DOI: 10.1021/ac061986j
  51. 51. Qu X, Bao LL, Su X, Wei W. Rapid detection of Escherichia coliform with a bulk acoustic wave sensor based on the gelation of Tachypleus amebocyte lysate. Talanta. 1998;47:285-290. DOI: 10.1016/S0039-9140(98)00136-2
  52. 52. Yilmaz E, Majidi D, Ozgur Denizli E. An whole cell imprinting based Escherichia coli sensors: A study for SPR and QCM. Sensors and Actuators B-Chemical. 2015;209:714-721. DOI: 10.1016/j.snb.2014.12.032
  53. 53. Reinholt SJ, Sonnenfeldt A, Naik A, Frey MW, Baeumner AJ. Developing new materials for paper-based diagnostics using electrospun nanofibers. Analytica Bioanalytical Chemistry. 2014;406:3297-3304. DOI: 10.1007/s00216-013-7372-5
  54. 54. Suna P, Liua Y, Shaa J, Zhanga Z, Tua Q, Chenc P, Wanga J. High-throughput microfluidic system for long-term bacterial colony monitoring and antibiotic testing in zero-flow environments. Biosensors and Bioelectronics. 2011;26:1993-1999. DOI: 10.1016/j.bios.2010.08.062
  55. 55. Nelson DE, Young KD. Penicillin binding protein 5 affects cell diameter, contour, and morphology of Escherichia coli. Journal of Bacteriology. 2000;182:1714-1721. DOI: 10.1128/JB.182.6.1714-1721.2000
  56. 56. Yang Z, Liu Y, Lei C, Sun XC, Zhou Y. Ultrasensitive detection and quantification of E. coli O157:H7 using a giant magnetoimpedance sensor in an open-surface microfluidic cavity covered with an antibody-modified gold surface. Microchimica Acta. 2016;183:1831-1837. DOI: 10.1007/s00604-016-1818-3
  57. 57. Matlock-Colangelo L, Coon B, Pitner CL, Frey MW. Functionalized electrospun poly(vinyl alcohol) nanofibers for on-chip concentration of E. coli cells. Analytical and Bioanalytical Chemistry. 2016;408:1327-1334. DOI: 10.1007/s00216-015-9112-5
  58. 58. Park TS, Yoon JY. Smartphone detection of Escherichia coli from field water samples on paper microfluidics. IEEE Sensors Journal. 2015;15:1902-1907. DOI: 10.1109/JSEN.2014.2367039
  59. 59. Nicolini AM, Fronczek CF, Yoon JY. Droplet-based immunoassay on a ‘sticky’ nanofibrous surface for multiplexed and dual detection of bacteria using smartphones. Biosensors and Bioelectronics. 2015;67:560-569. DOI: 10.1016/j.bios.2014.09.040
  60. 60. Cho S, Park TS, Nahapetian TG, Yoon JY. Smartphone-based, sensitive RAD detection of urinary tract infection and gonorrhea. Biosensors and Bioelectronics. 2015;74:601-611. DOI: 10.1016/j.bios.2015.07.014
  61. 61. McCracken KE, Angus SV, Reynolds KA, Yoon JY. Multimodal imaging and lighting bias correction for improved mu PAD-based water quality monitoring via smartphones. Scientific Reports. 2016;6:1-13. DOI: 10.1038/srep27529
  62. 62. Liang PS, Park TS, Yoon JY. Rapid and reagentless detection of microbial contamination within meat utilizing a smartphone-based biosensor. Scientific Reports. 2014;4:1-8. DOI: 10.1038/srep05953
  63. 63. Choi JR, Hu J, Tang RH, Gong YY, Feng SS, Ren H, Wen T, Li XJ, Abas WAW, Pingguan-Murphy B, Xi F. An integrated paper-based sample-to-answer biosensor for nucleic acid testing at the point of care. Lab-on-Chip. 2016;16:611-621. DOI: 10.1039/c5lc01388g
  64. 64. Zhang D, Lu Y, Zhang Q, Liu L, Li S, Jiang J, Liu GL, Liu Q. Protein detecting with smartphone-controlled electrochemical impedance spectroscopy for point-of-care applications. Sensors and Actuators B: Chemical. 2016;222:994-1002. DOI: 10.1016/j.snb.2015.09.041
  65. 65. Zhang D, Liu Q. Biosensors and bioelectronics on smartphone for portable biochemical detection. Biosensors and Bioelectronics. 2016;75:273-284. DOI: 10.1016/j.bios.2015.08.037
  66. 66. Jiang J, Wang X, Chao R, Ren Y, Hu C, Xu Z, Liu GL. Smartphone based portable bacteria pre-concentrating microfluidic sensor and impedance sensing system. Sensors and Actuators B: Chemical. 2014;193:653-659. DOI: 10.1016/j.snb.2013.11.103

Written By

Rodica Elena Ionescu

Submitted: May 4th, 2016 Reviewed: January 9th, 2017 Published: July 12th, 2017