Search tips
Search criteria 


Logo of sensorsMDPI Open Access JournalsMDPI Open Access JournalsThis articleThis JournalInstructions for authorssubscribe
Sensors (Basel). 2017 February; 17(2): 386.
Published online 2017 February 16. doi:  10.3390/s17020386
PMCID: PMC5335976

Detection of Salmonella Typhimurium on Spinach Using Phage-Based Magnetoelastic Biosensors

Chuan-Jian Zhong, Academic Editor


Phage-based magnetoelastic (ME) biosensors have been studied as an in-situ, real-time, wireless, direct detection method of foodborne pathogens in recent years. This paper investigates an ME biosensor method for the detection of Salmonella Typhimurium on fresh spinach leaves. A procedure to obtain a concentrated suspension of Salmonella from contaminated spinach leaves is described that is based on methods outlined in the U.S. FDA Bacteriological Analytical Manual for the detection of Salmonella on leafy green vegetables. The effects of an alternative pre-enrichment broth (LB broth vs. lactose broth), incubation time on the detection performance and negative control were investigated. In addition, different blocking agents (BSA, Casein, and Superblock) were evaluated to minimize the effect of nonspecific binding. None of the blocking agents was found to be superior to the others, or even better than none. Unblocked ME biosensors were placed directly in a concentrated suspension and allowed to bind with Salmonella cells for 30 min before measuring the resonant frequency using a surface-scanning coil detector. It was found that 7 h incubation at 37 °C in LB broth was necessary to detect an initial spike of 100 cfu/25 g S. Typhimurium on spinach leaves with a confidence level of difference greater than 95% (p < 0.05). Thus, the ME biosensor method, on both partly and fully detection, was demonstrated to be a robust and competitive method for foodborne pathogens on fresh products.

Keywords: Salmonella Typhimurium, spinach, magnetoelastic, biosensors

1. Introduction

The increased awareness of the benefits of a healthy diet has led to an increase in the consumption of fresh fruits and vegetables [1,2] along with a concomitant increase in the number of foodborne illnesses [1,3,4]. Recent examples of outbreaks related to fruits and vegetables include cases of infection with Escherichia coli O157:H7, Campylobacter jejuni, Listeria monocytogenes, Shigella spp., Staphylococcus aureus and Salmonella spp. [1,5,6]. Among these infectious agents, Salmonella has been associated with fresh produce including tomatoes, seed sprouts, cantaloupe, mamey, apple juice, orange juice, and spinach [7]. Since contamination may occur at any stage during production, packaging, transportation or storage, it is essential to develop rapid, sensitive, specific and inexpensive detection technologies for the identification of contaminated produce [8].

Phage-based magnetoelastic (ME) biosensors have been investigated as a candidate for in-situ, real-time, wireless, direct detection method for foodborne pathogens [8,9,10,11,12,13]. An ME biosensor is composed of a free-standing ME resonator serving as the signal transducer that is coated with a genetically engineered phage serving as the biomolecular-recognition element. The detection principle is based on measuring the change in the sensor’s resonant frequency, which is proportional to the change in the sensor’s mass [14]. Due to the Joule magnetostriction effect, the biosensor can be placed into mechanical resonance when subjected to a time-varying magnetic field oscillating at the proper frequency. When pathogens are captured by the phage coating, the increase in the biosensor mass causes a decrease in its resonant frequency. The ME biosensors have been used successfully for pathogen detection such as Salmonella, Bacillus anthracis spores and E. coli. In previous work, the ME biosensors were placed directly on food surfaces for Salmonella Typhimurium detection [15,16], or real-time monitoring in various processes [17,18]. Compared with polymerase chain reaction (PCR), the gold standard for the detection of pathogens in foods [8], ME biosensors performed cost and time effective, simple to operate and LOD competitive [19,20]. Given these advantages, ME biosensor method was considered to be a robust and promising alternative to the Q-PCR method. However, in previous work, the samples were only partly detected, which may result in less representativeness and repeatability. To reinforce and develop the practicability and applicability of the ME biosensor method, full detection assessment should be considered and developed.

This paper investigates a ME biosensor method for the detection of Salmonella Typhimurium on fresh spinach leaves based on the isolation of Salmonella from leafy green vegetables outlined in the U.S. FDA Bacteriological Analytical Manual. The whole sample contributed to the detection and the signal was amplified by bacteria pre-enrichment. The effects of an alternative pre-enrichment broth (LB broth vs. lactose broth), incubation time on the detection performance and negative control were investigated. In addition, different blocking agents (BSA, Casein, and Superblock) were compared to minimize the effect of nonspecific binding on the ME biosensor surfaces.

2. Materials and Methods

In the present work, bare ME sensor platforms are defined as gold-coated strips of the ME alloy. Measurement biosensors are ME sensor platforms that have E2 phage immobilized onto the surface and blocked with a blocking agent. Control biosensors are prepared identically to measurement sensors except that they are devoid of phage. Control biosensors are used to compensate for environmental effects and non-specific binding.

2.1. Fabrication of ME Biosensor Platforms

A ribbon of METGLAS 2826MB alloy was diced into strips (1 mm × 0.2 mm × 0.028 mm) using an automated dicing saw. The METGLAS strips were ultrasonically cleaned in acetone followed by methanol, then air-dried. The cleaned strips were annealed at 220 °C in vacuum (10−3 Torr) for 2 h to relieve residual internal stresses from the dicing process. Two metal layers (Cr followed by Au) were then sputter-deposited onto the strip surfaces to form the biosensor platform. The Cr layer acts as an adhesive interface between the strip and the Au layer. The Au layer not only protects the METGLAS strip from corrosion but also provides a ready surface for bio-probe immobilization. Finally, the bare biosensor platforms were annealed again to correct possible surface defects that might have occurred during the metal deposition process.

2.2. E2 Phage Immobilization

Filamentous E2 phage has been studied and verified to be highly specific and selective towards S. Typhimurium [21,22]. E2 phage with a concentration of 5 × 1011 vir/mL in a 1X tris-buffered saline (TBS) solution was prepared and provided by Dr. James M. Barbaree's lab in the Department of Biological Sciences at Auburn University, Auburn, AL. The bare ME biosensor platforms were immersed in the phage solution and rotated for 1 h. In this way, the phage attached uniformly to the platforms via physical adsorption. These biosensors with immobilized phage were then washed with deionized water twice to remove any unbound/loosely bound phage and salt originating from the TBS solution.

2.3. Surface Blocking of the ME Biosensors

Three blocking reagents (BSA, casein, and Superblock) were evaluated in an effort to minimize non-specific binding of Salmonella to the biosensors. Bare ME biosensor platforms were either coated with one of the surface blockers or left uncoated. The ME biosensor platforms, were exposed for 30 min to a S. Typhimurium solution (5 × 108 cfu/mL) in a PCR tube with rotation. Frequency shift measurements and optical microscopy, of 5 parallel biosensors per blocker, were used to compare the performance of the surface blockers.

2.4. Salmonella Pre-Enrichment and Exposure to the Biosensors

Salmonella enterica serovar Typhmurium (ATCC 13311) was provided by Dr. James. M. Barbaree’s lab in the Department of Biological Sciences at Auburn University, Auburn, AL. Fresh spinach leaves, from local grocery and sterilized by alcohol, were collected into a sterile plastic bag and spiked with S. Typhimurium (100 cfu/25 g spinach). The spiked leaves were removed from the bag, mixed on aluminum foil for 10 min to homogenize the mixture and returned to the bag. The spiked leaves were allowed to rest for 1 h at 4 °C.

The pre-enrichment and centrifugation procedure generally followed U.S. FDA’s Bacteriological Analytical Manual (BAM) [23]. Lactose broth, specified in BAM as the pre-enrichment broth for leafy green vegetables and herbs, and LB-Lennox broth were compared in this work. The 25 g sample of the spiked spinach leaves were aseptically transferred into 50 mL pre-enrichment broth inside a sterile bag within a beaker. The sterile bag was folded loosely to ensure oxygen aeration for bacteria growth. All samples were held at room temperature for 1 h and then incubated at 37 °C for up to 22 h.

Aliquots (1.5 mL) of the pre-enrichment broth were collected at 5, 6, 7, 14, and 22 h and centrifuged at 10,000 rpm for 10 min. The supernatant was replaced with 300 μL filtered water, and Salmonella cells were re-suspended by overtaxing. The Salmonella suspension was then transferred to PCR tubes containing a ME biosensor and vibrated for 30 min. The biosensors were finally collected, washed with deionized water twice and air-dried in preparation for resonant frequency measurements and optical microscopy.

The performance of Lactose broth and LB-Lennox broth was compared using optical microscopy. 10 bare ME biosensor platforms for both broth were prepared in Salmonella suspension obtained after spinach leaves were incubated at 5 h, and the micrographs of platform surfaces indicates the better broth for incubation.

2.5. Frequency Measurement and Student’s t-Test

The resonant frequency of the biosensors, of 10 parallel sensors for suspensions derived from each incubation time in LB broth, was measured with a surface-scanning coil detector, and a network analyzer with an S-parameter test set [17]. By comparing the initial and final resonant frequencies of the biosensors, measured before and after exposure to Salmonella, taking a mean value after 5 tests, the frequency shifts can be calculated. The frequency shifts are proportional to the mass changes on the sensor surfaces, allowing quantification of the amount of attached S. Typhimurium cells.

Finally, a one-tail unpaired Student’s t-test was performed to analyze the degree of dissimilarity between the measurement and control sensors in order to determine the minimum incubation time required for detection.

2.6. Optical Microscopy Observation

Confirmation of phage immobilization was conducted by fluorescent microscopy. E2 phage was labeled with the Alexa Fluor 488 dye in advance, following the procedure previously described [21]. Fluorescence micrographs of the phage-coated and bare ME biosensor surfaces were captured with an Olympus BX51 microscope equipped with a Lumen 200 metal halide fluorescence light source and a fluorescein isothiocyanate (FITC) filter set. 40X objective was used with a 100% light output intensity, an exposure time of 10.2 s and a gain of 16. The GNU Image Manipulation Program (GIMP) was used for image processing, including gray-scale conversion, background subtraction and thresholding, to calculate the surface phage coverage.

Salmonella binding was also observed and confirmed by optical microscopy. Following exposure to S. Typhimurium, the biosensors were washed with distilled water and exposed to an osmium tetroxide (OsO4) vapor for 40 min for fixation of the bacteria cells. The washing procedure helps to remove unbound or weakly bound bacteria cells and also cleans the debris (such as salts) from the sensor surface. The biosensors were then exposed to a dye (crystal violet, 5% in distilled water) for 10 min, washed with distilled water and dried. Optical microscopy (Olympus BX51, Olympus Optical, Tokyo, Japan) was performed to observe the binding of S. Typhimurium on the sensor surfaces.

2.7. Negative Control Test

Bacillus anthracis spores and E. coli worked as the masking bacterial cells which were not recognized by E2 phage. Fresh spinach leaves, untreated, spiked with Bacillus anthracis spores and E. coli (100 cfu/25 g spinach), were put into cells pre-enrichment (2.4), with 7 h incubation in LB broth. The resonant frequency shifts of the biosensors, 5 parallel sensors for suspensions derived from each set of samples, were tested (2.5) as negative control. The cells binding on the sensor surface were observed and confirmed by optical microscopy (2.6).

3. Results and Discussion

3.1. Phage Immobilization and Surface Coverage

E2 phage immobilization on the sensor surfaces was confirmed by fluorescent microscopy. Figure 1 shows typical fluorescent micrographs of (a) a phage-coated sensor and (b) a control sensor. The fluorescent pixels shown in Figure 1a are the indication and confirmation of fluorescent-labeled E2 phage adhering to the ME biosensor platform. Based on the fluorescent micrographs (a) and (b) in Figure 1, a binary (black and white) image (c) was made by gray-scale conversion, background subtraction and thresholding. The micrograph of the control sensor was used for background subtraction. The surface phage coverage was then calculated from Figure 1c to be 12.5%, resulting from the exposure to a phage concentration of 2.6 × 1011 vir/mL.

Figure 1
Fluorescence micrographs: (a) phage-coated sensor; (b) control sensor; and (c) binary image.

3.2. Performance of the Surface Blocking Reagents

The performance of the blocking reagents was compared using optical microscopy and frequency shift measurements. As can be seen in Figure 2, the frequency shifts and optical micrographs indicate that there was no significant difference among the sensors, with or without the use of blocking reagents. Non-specific binding occurred only to a small degree even for the bare unblocked sensor (Figure 2a).

Figure 2
Resonant frequency shifts and sensor surface micrographs (scaleplate 20 µm) after 30 min exposure to 5 × 108 cfu/mL S. Typhimurium on bare ME sensor platforms coated with the following blocking agents: (a) None; (b) BSA; (c) Casein; and ...

The first possible reason is that the phage binding limited the space for the blocking reagents on the surface. The second is that the physical adsorption on the bare gold surface was disturbed by the vibration, while the measurement sensors performed anticipative cell binding.

Therefore, the bare unblocked ME sensor platforms were used as the control sensors for the remainder of this study with little non-specific binding. Shortening the procedure contributes to both cost- and time-effectiveness.

3.3. Lactose Broth vs. LB Broth

Figure 3 shows phage-coated ME biosensors exposed to Salmonella suspensions that were derived from incubations of spinach leaves in (a) lactose and (b) LB pre-enrichment broths. Suspensions obtained using LB broth showed a greater quantity of Salmonella binding on the ME biosensor surface (Figure 3b) than those obtained using lactose broth (Figure 3a). Bacillus cells that were pre-existing on the spinach leaves were observed to non-specifically bind to the biosensor surface for suspensions obtained using lactose broth (Figure 3a).

Figure 3
Micrographs of biosensor surfaces after exposure to the suspensions obtained after spinach leaves were incubated in (a) lactose broth; and (b) LB broth.

3.4. Frequency Shifts as a Function of Incubation Time

Figure 4 displays the frequency shifts and optical micrographs of biosensor surfaces that were exposed to S. Typhimurium suspensions derived from the incubation of spinach leaves in LB broth for various lengths of time. The plotted data points are the arithmetic mean values of the frequency shifts with the error bars representing the standard deviations. The numerical percentage values shown are the confidence levels of the difference between the measurement and control sensors determined by a one-tail unpaired Student’s t-test.

Figure 4
Resonant frequency shifts and sensor surface micrographs (scaleplate 20 µm) for measurement and control sensors placed in the Salmonella suspensions after different incubation times in LB broth: (a) measurement, 5 h; (b) measurement, 6 h; (c) ...

As can be seen in Figure 4, the frequency shifts of the measurement sensors increase with incubation time while those of the control sensors are much smaller and independent of the incubation time. The optical micrographs of the sensor surfaces corroborate that the frequency shifts correspond to the quantity of cells bound to the biosensor. The control sensors showed much smaller frequency shifts and little nonspecific binding. The frequency shifts of the measurement and control sensors showed a statistically significant difference at 7 h of incubation, with a confidence level of difference higher than 95% (p < 0.05).

3.5. Negative Control

Figure 5 displays the negative control of the ME biosensor method. Compared to S. Typhimurium resulting in a notable signal, the untreated and the masking bacterial cells give weak and stable signals. The optical micrographs confirmed that frequency shifts were caused by non-specific binding.

Figure 5
Resonant frequency shifts and sensor surface micrographs (scaleplate 20 µm) for Negative control, 7 h incubation in LB broth: (a) untreated, measurement; (b) untreated, control; (c) E. coli, measurement; (d) E. coli, control; (e) B. A. spores ...

4. Conclusions

An ME biosensor method for S. Typhimurium detection on fresh spinach leaves was demonstrated. Following the FDA’s BAM, fresh spinach leaves were spiked with S. Typhimurium of known concentration (100 cfu/25 g), and incubated in LB broth in this study. Large shifts in the resonant frequency of the measurement sensors were observed, while the responses of the control sensors were negligible. Optical micrographs verified that the frequency shifts of the measurement sensors were consistent with the amount of S. Typhimurium cells attached to the sensor surfaces. Multiple measurement and control sensors frequency shifts were statistically compared and evaluated using a Student’s t-test, and the minimum incubation time required for detection was found to be 7 h with a 95% confidence level of difference. This detection time is more than three times faster than the FDA’s current BAM methods (24–26 h). Therefore, the ME biosensor method, for both partial and full detection, was demonstrated to be a robust and competitive method for foodborne pathogens on fresh products.


This project was supported by the Auburn University Center for Detection and Food Safety and the Specialty Crop Research Initiative Competitive Grant No. USDA-2011-51181-30642A from the USDA National Institute of Food and Agriculture, and the Special Fund for Shandong independent innovation and achievements transformation no. 2014ZZCX02703 from the Department of Science and Technology of Shandong Province, China.

Author Contributions

Author Contributions

Fengen Wang performed the frequency measurement, optical microscopy observation, data analyses and wrote a draft; Shin Horikawa evaluated the phage immobilization; Jiajia Hu evaluated the blocking reagents; Howard C. Wikle III joined data analyses and wrote the final manuscript; I-Hsuan Chen performed Salmonella pre-enrichment in various broth and process discussions; Songtao Du and Yuzhe Liu performed the ME biosensor platform fabrication; Bryan A. Chin designed the experiment.

Conflicts of Interest

Conflicts of Interest

The authors declare no conflict of interest.


1. Heaton J.C., Jones K. Microbial contamination of fruit and vegetables and the behaviour of enteropathogens in the phyllosphere: A review. J. Appl. Microbiol. 2008;104:613–626. doi: 10.1111/j.1365-2672.2007.03587.x. [PubMed] [Cross Ref]
2. Park M.K., Oh J.H. Rapid detection of E. coli O157:H7 on turnip greens using a modified gold nsor combined with light microscopic imaging system. J. Food Sci. 2012;77:M127–M134. doi: 10.1111/j.1750-3841.2011.02537.x. [PubMed] [Cross Ref]
3. Doyle M.P., Erickson M.C. Summer meeting 2007-the problems with fresh produce: An iew. J. Appl. Microbiol. 2008;105:317–330. doi: 10.1111/j.1365-2672.2008.03746.x. [PubMed] [Cross Ref]
4. Hanning I.B., Nutt J.D., Ricke S.C. Salmonellosis outbreaks in the United States due to fresh uce: Sources and potential intervention measures. Foodborne Pathog. Dis. 2009;6:635–648. doi: 10.1089/fpd.2008.0232. [PubMed] [Cross Ref]
5. Velusamy V., Arshak K., Korostynska O., Oliwa K., Adley C. An overview of foodborne gen detection: In the perspective of biosensors. Biotech. Adv. 2010;28:232–254. doi: 10.1016/j.biotechadv.2009.12.004. [PubMed] [Cross Ref]
6. Gomes C., Moreira R.G., Castell-Perez E. Radiosensitization of Salmonella spp. and Listeria spp. dy-to-eat baby spinach leaves. J. Food Sci. 2011;76:E141–E148. doi: 10.1111/j.1750-3841.2010.01904.x. [PubMed] [Cross Ref]
7. Buck J.W., Walcott R.R., Beuchat L.R. Recent trends in microbiological safety of fruits and ables. Plant Health Prog. 2003;10:1094–1103.
8. Guntupalli R., Hu J., Lakshmanan R.S., Huang T.S., Barbaree J.M., Chin B.A. A magnetoelastic resonance biosensor immobilized with polyclonal antibody for the detection of Salmonella typhimurium. Biosens. Bioelectron. 2007;22:1474–1479. doi: 10.1016/j.bios.2006.06.037. [PubMed] [Cross Ref]
9. Guntupalli R., Lakshmanan R.S., Hu J., Huang T.S., Barbaree J.M., Vodyanoy V., Chin B.A. Rapid and sensitive magnetoelastic biosensors for the detection of Salmonella typhimurium in a mixed microbial population. J. Microbiol. Methods. 2007;70:112–118. doi: 10.1016/j.mimet.2007.04.001. [PubMed] [Cross Ref]
10. Lakshmanan R.S., Guntupalli R., Hu J., Kim D.J., Petrenko V.A., Barbaree J.M., Chin B.A. Phage immobilized magnetoelastic sensor for the detection of Salmonella typhimurium. J. Microbiol. Methods. 2007;71:55–60. doi: 10.1016/j.mimet.2007.07.012. [PubMed] [Cross Ref]
11. Johnson M.L., Wan J.H., Huang S.C., Cheng Z.Y., Petrenko V.A., Kim D.J., Chen I.H., Barbaree J.M., Hong J.W., Chin B.A. A wireless biosensor using microfabricated phage-interfaced magnetoelastic particles. Sens. Actuators A. 2008;144:38–47. doi: 10.1016/j.sna.2007.12.028. [Cross Ref]
12. Horikawa S., Bedi D., Li S.Q., Shen W., Huang S.C., Chen I.H., Chai Y.T., Auad M.L., Bozack M., Barbaree J.M., et al. Effects of surface functionalization on the surface phage coverage and the subsequent performance of phage-immobilized magnetoelastic biosensors. Biosens. Bioelectron. 2011;26:2361–2367. doi: 10.1016/j.bios.2010.10.012. [PubMed] [Cross Ref]
13. Chai Y., Horikawa S., Li S., Wikle H.C., Chin B.A. A surface-scanning coil detector for real-time, in-situ detection of bacteria on fresh food surfaces. Biosens. Bioelectron. 2013;50:311–317. doi: 10.1016/j.bios.2013.06.056. [PubMed] [Cross Ref]
14. Grimes C.A., Roy S.C., Rani S., Cai Q. Theory, Instrumentation and Applications of Magnetoelastic Resonance Sensors: A Review. Sensors. 2011;11:2809–2844. doi: 10.3390/s110302809. [PMC free article] [PubMed] [Cross Ref]
15. Li S.Q., Li Y.G., Chen H.Q., Horikawa S., Shen W., Simonian A., Chin B.A. Direct detection of Salmonella typhimurium on fresh produce using phage-based magnetoelastic biosensors. Biosens. Bioelectron. 2010;26:1313–1319. doi: 10.1016/j.bios.2010.07.029. [PubMed] [Cross Ref]
16. Park M.K., Park J.W., Wikle H.C., Chin B.A. Evaluation of phage-based magnetoelastic biosensors for direct detection of Salmonella Typhimurium on spinach leaves. Sens. Actuators B: Chem. 2013;176:1134–1140. doi: 10.1016/j.snb.2012.10.084. [Cross Ref]
17. Huang S., Yang H., Lakshmanan R.S., Johnson M.L., Wan J., Chen I.H., Wikle H.C., III, Petrenko V.A., Barbaree J.M., Chin B.A. Sequential detection of Salmonella typhimurium and Bacillus anthracis spores using magnetoelastic biosensors. Biosens. Bioelectron. 2009;24:1730–1736. doi: 10.1016/j.bios.2008.09.006. [PubMed] [Cross Ref]
18. Shen W., Lakshmanan R.S., Mathison L.C., Petrenko V.A., Chin B.A. Phage coated magnetoelastic micro-biosensors for real-time detection of Bacillus anthracis spores. Sens. Actuators B: Chem. 2009;137:501–506. doi: 10.1016/j.snb.2009.01.027. [Cross Ref]
19. Park M.K., Park J.W., Wikle H.C., Chin B.A. Comparison of phage-based magnetoelastic biosensors with taqman- based quantitative real-time PCR for the detection of salmonella typhimurium directly grown on tomato surfaces. Biosens. Bioelectron. 2012;3:113–118. doi: 10.4172/2155-6210.1000113. [Cross Ref]
20. Park M.K., Weerakoon K.A., Oh J.H., Chin B.A. The analytical comparison of phage-based magnetoelastic biosensor with TaqMan-based quantitative PCR method to detect Salmonella Typhimurium on cantaloupes. Food Control. 2013;33:330–336. doi: 10.1016/j.foodcont.2013.02.026. [Cross Ref]
21. Sorokulova I.B., Olsen E.V., Chen I.H., Fiebor B., Barbaree J.M., Vodyanoy V.J., Chin B.A., Petrenko V.A. Landscape phage probes for Salmonella typhimurium. J. Microbiol. Methods. 2005;63:55–72. doi: 10.1016/j.mimet.2005.02.019. [PubMed] [Cross Ref]
22. Olsen E.V., Sorokulova I.B., Petrenko V.A., Chen I.H., Barbaree J.M., Vodyanoy V.J. Affinity-selected filamentous bacteriophage as a probe for acoustic wave biodetectors of Salmonella typhimurium. Biosens. Bioelectron. 2006;21:1434–1442. doi: 10.1016/j.bios.2005.06.004. [PubMed] [Cross Ref]
23. Andrews W.H., Jacobson A., Hammack T. Bacteriological Analytical Manual-Salmonella. U.S. Food and Drug Administration; Silver Spring, MD, USA: 2014. Salmonella. Chapter 5.

Articles from Sensors (Basel, Switzerland) are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)