Dual-Mode Biosensor for Simultaneous and Rapid Detection of Live and Whole Salmonella typhimurium Based on Bioluminescence and Fluorescence Detection

Both live and dead Salmonella typhimurium (S.T) are harmful to human health, but there are differences in pathological mechanism, dosage, and security. It is crucial to develop a rapid and simultaneous assay to distinguish and quantify live and dead S.T in foods. Herein, one dual-mode biosensor for simultaneous detection of live and dead S.T was fabricated based on two phage probes, using portable bioluminescence and fluorescent meter as detectors, respectively. Firstly, a magnetic phage capture probe (M-P1) and a phage signal tag (P2-S) labeled with SYTO 13 fluorescent dye were prepared, respectively. Both M-P1 and P2-S can specifically conjugate with S.T to form a magnetic sandwich complex. After magnetic separation, the isolated complex can emit a fluorescent signal under an excited 365 nm laser, which can reflect the total amount of S.T. Afterwards, the lysozyme was added to decompose the captured live S.T, which can release ATP and produce a bioluminescent signal corresponding to the live S.T amount. The dead S.T concentration can be deduced by the difference between total and live examples. The detection limit of 55 CFU/mL for total S.T and 9 CFU/mL for live ones was within 20 min. The assay was successfully employed in milk samples and prospectively for on-site screening of other dead and live bacteria, while changing the phages for the targets.


Introduction
Outbreaks of foodborne pathogens in foods can lead to serious infectious diseases, which have been a great public health threat worldwide [1]. Especially, Salmonella, as a gram-negative bacterium, ranks first among all types of bacterial food poisoning [2]. It was estimated that about 93.8 million Salmonella infections and 155,000 related deaths occur each year worldwide [3]. Among these, Salmonella typhimurium (S.T) is one of the most common serotypes [4]. According to [5], both live and dead S.T are harmful to human health, but there are differences in pathological mechanism, dosage, and security. Live S.T can cause large-scale contamination of foods within a short time, attributed to fast reproduction speed and strong environmental resistance [6,7]. When S.T dies or lyses, it can release endotoxins to cause bacterial virulence and pose a serious health risk to the host [8]. Therefore, effective detection and discrimination of live and dead S.T is essential for selecting an appropriate response protocol in food safety cases. At present, several methods have been developed to detect pathogenic bacteria, such as the plate counting method (the gold standard), enzymelinked immunosorbent technology (ELISA), polymerase chain reaction (PCR) technology, etc. [9][10][11]. These methods have excellent accuracy, but also some defects. For example, the counting method can only cultivate and calculate the amount of live bacteria, but cannot determine dead ones. Both ELISA and PCR cannot easily discriminate between
Fluorescence signal was measured by a fluorescence spectrophotometer from Shimadzu Co., Ltd. (Kyoto, Japan). Bioluminescent signals were gained by a ATP bioluminescence meter purchased from Meicheng Biotechnology Co., Ltd. (Ningbo, China). Fluorescent imaging of probes and magnetic sandwich complexes were characterized by a Scheme 1. (A) The principle of preparation of two phage probes, and (B) the dual-mode biosensor for detection of live and whole S.T using the probes.
Fluorescence signal was measured by a fluorescence spectrophotometer from Shimadzu Co., Ltd. (Kyoto, Japan). Bioluminescent signals were gained by a ATP bioluminescence meter purchased from Meicheng Biotechnology Co., Ltd. (Ningbo, China). Fluorescent imaging of probes and magnetic sandwich complexes were characterized by a fluorescence microscope, model MF23-LED, purchased from Mingmei Photoelectric Technology Co., Ltd. (Guangzhou, China). Bioluminescence imaging was displayed by a small animal live imager. Bacteria were incubated by the medical constant temperature incubator purchased from Panasonic Appliances Cold Chain Co., Ltd. (Tokyo, Japan). The surface morphology of probes and magnetic sandwich complexes were analyzed by transmission electron microscope (TEM, JEOL, Tokyo, Japan). Centrifugation was performed using a centrifuge purchased from Sigma Laborzentrifugen GmbH (Berlin, Germany).

The Preparation of M-P1 and P2-S Probes
The magnetic bead (MB) was synthesized by a hydrothermal method according to the following procedures. Firstly, 3.6 g of anhydrous sodium acetate and 1.3 g of finely ground ferric FeCl 3 ·6H 2 O were dissolved in 40 mL of ethylene glycol by means of an ultra-sonicator to obtain a yellow viscous solution. The obtained homogeneous solution was sealed in a Teflon-lined stainless-steel autoclave (100 mL volume) and heated at 200 • C for 6 h. After cooling to room temperature, the products were washed three times with ethanol and water, and the final nanoparticles were dried under vacuum for 12 h at 50 • C.
MB-Phage (M-P1) probes were prepared by electrostatic adsorption as follows. 10 mg of MB was dissolved in 1 mL H 2 O and sonicated for 10 min. Then, 1% (wt%) PDDA was added to the Fe 3 O 4 solution to a final volume of 10 mL, and the reaction was carried out at 2200 rpm for 1 h. At this point, the Fe 3 O 4 surface was positively charged. After that, the resulting MB@PDDA was repeatedly washed three times by H 2 O and 10 13 PFU/mL phage was added to it for 1 h at 2200 rpm. The product was separated by a magnet. Due to the negative charge of the phage head, the phage would be fixed directionally on the surface of MB using electrostatic adsorption. The whole process was repeated 4 times with phage addition, each reaction time being 1 h to ensure that as many phages as possible were on the Fe 3 O 4 . Later, the resulting product was repeatedly washed three times by H 2 O, to which 1% (wt%) BSA was added, reacting at 2200 rpm for 1 hour to avoid non-specific adsorption. Finally, the obtained (M-P1) probes were washed 3 times with H 2 O and stored at 4 • C. Phage-SYTO 13 (P2-S) probes were made by mixing 10 13 phage with 5 mM SYTO 13 dye for 20 min. The mixed product was then passed through a 100 nm filter membrane to remove the free SYTO 13 dye and stored at 4 • C for subsequent use.

Plaque Experiments Using M-P1 and P2-S Probes
Phage plaques are the products obtained from phage engulfment of bacteria, indicating the specificity of the phage for the host bacteria. First, the phage solution obtained from the isolation and purification was diluted in a 10-fold gradient (PBS was used as the dilution medium) to make a series of different concentrations of phage solutions for further use. The prepared LB semi-solid medium (LB mixed with 0.7% agar) was then melted using a far-infrared closed electric oven. Next, 10 8 CFU/mL S.T (100 µL) and the different concentrations of phage above 100 µL were mixed into 3 mL of the melted LB semi-solid medium. Afterwards, the above mixture was poured onto a Petri dish covered with LB solid medium (LB mixed with 1.5% agar). After the semi-solid medium had solidified, the petri dishes were inverted and placed in an incubator at 37 • C overnight. The appearance of phage plaques in the petri dishes was observed the next day.

Discrimination of Live and Dead S.T by the Dual-Mode Biosensor
1 mL M-P1 probe, 500 µL 10 8 CFU/mL S.T, and 1 mL P2-S probe were mixed for 10 min at 37 • C. M-P1 and P2-S can be conjugated to S.T, forming a sandwich-like magnetic complex. Later, the sandwich complex was washed 3 times by H 2 O and separated by magnet to remove the free S.T and P2-S probes. Afterwards, the sandwich complex was exposed at 365 nm laser to acquire a fluorescent signal, which can reflect the total amount of S.T. Then, the D-luciferin and luciferase were added to it, at which point the captured live S.T can be disrupted, releasing ATP and thus producing a bioluminescent signal corresponding to the concentration of live S.T, which can be measured by a portable ATP bioluminescence meter. The dead S.T can be calculated by the difference between total and live. Additionally, the ATP of live S.T can be directly and accurately monitored by small animal live images.

Real Samples Pretreatment and Detection
The 200 mL milk samples were purchased from a local supermarket (milk 1 and 2), and 200 mL water samples were collected from tap water (aquatic water 1 and 2). First, samples were filtered by 30-50 µm Whatman filter papers to remove solid particles and other insoluble substances such as the stones and dirt. Then, the supernatant of the sample was added to different concentrations of target S.T. Afterwards, the samples were centrifuged at 5000 r/min for 5 min to precipitate the target bacteria, then the supernatant was discarded. The obtained precipitate was resuspended with 10 mM pH 7.4 PBS (1.0 mL) and further centrifuged. After it was washed 3 times, the precipitate obtained was suspended with 10 mM pH 7.4 PBS, thus to obtain the sample suspension for measurement. Next, the procedure in Section 2.4 was followed to achieve the detection.

Characterization of MB, M-P1 and P2-S Probes
To obtain a clear picture of the preparation process of the magnetic complex probes, transmission electron microscopy (TEM) was used to evaluate them. As can be seen in Figure 1A, the MB prepared was of a uniform size of approximately 400 nm. The outer layer of MB in Figure 1B is wrapped by a ring of coating, indicating that PDDA was successfully modified on the MB surface. Many phages were clearly seen in the partial enlargement of Figure 1C attached directionally on top of the MB, demonstrating the successful preparation of M-P1. Figure 1D represents the binding of P2-S to S.T, and many phages can be seen surrounding the S.T. Without the phage, the MB would not bind to the bacteria and could not function as a trap, enrichment, and isolation ( Figure 1E). In Figure 1F, a few M-P1 and P2-S can be found tightly adhering to the cell wall of S.T, which suggested a successful preparation of the magnetic complex probe (M-P1@S.T@P2-S), without competing effects between M-P1 and P2-S. S.T can be disrupted, releasing ATP and thus producing a bioluminescent signal corresponding to the concentration of live S.T, which can be measured by a portable ATP bioluminescence meter. The dead S.T can be calculated by the difference between total and live. Additionally, the ATP of live S.T can be directly and accurately monitored by small animal live images.

Real Samples Pretreatment and Detection
The 200 mL milk samples were purchased from a local supermarket (milk 1 and 2), and 200 mL water samples were collected from tap water (aquatic water 1 and 2). First, samples were filtered by 30-50 μm Whatman filter papers to remove solid particles and other insoluble substances such as the stones and dirt. Then, the supernatant of the sample was added to different concentrations of target S.T. Afterwards, the samples were centrifuged at 5,000 r/min for 5 min to precipitate the target bacteria, then the supernatant was discarded. The obtained precipitate was resuspended with 10 mM pH 7.4 PBS (1.0 mL) and further centrifuged. After it was washed 3 times, the precipitate obtained was suspended with 10 mM pH 7.4 PBS, thus to obtain the sample suspension for measurement. Next, the procedure in Section 2.4 was followed to achieve the detection.

Characterization of MB, M-P1 and P2-S Probes
To obtain a clear picture of the preparation process of the magnetic complex probes, transmission electron microscopy (TEM) was used to evaluate them. As can be seen in Figure 1A, the MB prepared was of a uniform size of approximately 400 nm. The outer layer of MB in Figure 1B is wrapped by a ring of coating, indicating that PDDA was successfully modified on the MB surface. Many phages were clearly seen in the partial enlargement of Figure 1C attached directionally on top of the MB, demonstrating the successful preparation of M-P1. Figure 1D represents the binding of P2-S to S.T, and many phages can be seen surrounding the S.T. Without the phage, the MB would not bind to the bacteria and could not function as a trap, enrichment, and isolation ( Figure 1E). In Figure 1F, a few M-P1 and P2-S can be found tightly adhering to the cell wall of S.T, which suggested a successful preparation of the magnetic complex probe (M-P1@S.T@P2-S), without competing effects between M-P1 and P2-S.  In order to support the above point of view, a fluorescence microscope was used to further demonstrate the process of preparing magnetic composite probes. The phage was stained with SYTO 13 dye (excitation wavelength at 365 nm and emission wavelength at 520 nm) to obtain images of the successful step-by-step preparation of the magnetic complex ( Figure 2). It is clear from the figures that MBs of approximately 400 nm appeared in the field of view (Figure 2A,F) and, once the phage was modified on the MBs, a ring of green fluorescence around the MBs could be seen from the dark-field microscope, declaring the successful preparation of M-P1 ( Figure 2B,G). Figure 2C,H distinctly shows that the MBs contain a lot of S.T in the vicinity and that the S.T on the MBs can be seen to produce the fluorescent signal in the dark field, manifesting the successful preparation of the magnetic complex. In addition, the specificity of the prepared probe for S.T was further explored. As can be observed from Figure 2D,I, both the magnetic bead probe and the other bacteria (E. coli and S.A) are each free in the field of view and there is no fluorescent signal in the dark field ( Figure 2E,J), indicating that the prepared probe has an extremely high specificity for S.T. In order to support the above point of view, a fluorescence microscope was used to further demonstrate the process of preparing magnetic composite probes. The phage was stained with SYTO 13 dye (excitation wavelength at 365 nm and emission wavelength at 520 nm) to obtain images of the successful step-by-step preparation of the magnetic complex ( Figure 2). It is clear from the figures that MBs of approximately 400 nm appeared in the field of view (Figure 2A,F) and, once the phage was modified on the MBs, a ring of green fluorescence around the MBs could be seen from the dark-field microscope, declaring the successful preparation of M-P1 ( Figure 2B,G). Figure 2C,H distinctly shows that the MBs contain a lot of S.T in the vicinity and that the S.T on the MBs can be seen to produce the fluorescent signal in the dark field, manifesting the successful preparation of the magnetic complex. In addition, the specificity of the prepared probe for S.T was further explored. As can be observed from Figure 2D,I, both the magnetic bead probe and the other bacteria (E. coli and S.A) are each free in the field of view and there is no fluorescent signal in the dark field ( Figure 2E,J), indicating that the prepared probe has an extremely high specificity for S.T.  Figure 3A shows the fluorescent signals obtained under different conditions, including live and dead 10 8 CFU . mL −1 S.T, E.coli, S.A, captured and identified by M-P1 and P2-S, as well as live S.T without captured P2, and PBS controls. As can be seen from the figures, for the same concentration of different bacteria, both live and dead S.T produced high fluorescence signal intensities, indicating that the fluorescence method was able to detect both live and dead bacteria and was unable to differentiate between them. In contrast, other miscellaneous bacteria, such as E. coli and S. A, had very low and almost absent fluorescence signals, indicating that the phage biosensor has good specificity. Meanwhile, the fluorescence intensities showed that no fluorescence signal was generated without the presence of the P2, further demonstrating the successful modification and specific recognition of the P2-S probe. Figure 3B shows the physical diagram of fluorescence luminescence, the results of which remained consistent with Figure 3A. Moreover, bioluminescence signals were measured under the same conditions ( Figure 3C). From the figure, only the live S.T produced high ATP bioluminescence signal intensities when the bacterial concentration was constant, indicating that bioluminescence can only detect live bacteria. For other miscellaneous bacteria, such as E. coli and S.A, the ATP bioluminescence signal was extremely low for live bacteria and no bioluminescence signal was present for dead bacteria, again demonstrating the good specificity of this phage biosensor. According to the ATP bioluminescence intensities with and without the presence of P1, it can be seen that when there was no P1 present in the solution, the target bacteria could not be captured  Figure 3A shows the fluorescent signals obtained under different conditions, including live and dead 10 8 CFU·mL −1 S.T, E.coli, S.A, captured and identified by M-P1 and P2-S, as well as live S.T without captured P2, and PBS controls. As can be seen from the figures, for the same concentration of different bacteria, both live and dead S.T produced high fluorescence signal intensities, indicating that the fluorescence method was able to detect both live and dead bacteria and was unable to differentiate between them. In contrast, other miscellaneous bacteria, such as E. coli and S.A, had very low and almost absent fluorescence signals, indicating that the phage biosensor has good specificity. Meanwhile, the fluorescence intensities showed that no fluorescence signal was generated without the presence of the P2, further demonstrating the successful modification and specific recognition of the P2-S probe. Figure 3B shows the physical diagram of fluorescence luminescence, the results of which remained consistent with Figure 3A. Moreover, bioluminescence signals were measured under the same conditions ( Figure 3C). From the figure, only the live S.T produced high ATP bioluminescence signal intensities when the bacterial concentration was constant, indicating that bioluminescence can only detect live bacteria. For other miscellaneous bacteria, such as E. coli and S.A, the ATP bioluminescence signal was extremely low for live bacteria and no bioluminescence signal was present for dead bacteria, again demonstrating the good specificity of this phage biosensor. According to the ATP bioluminescence intensities with and without the presence of P1, it can be seen that when there was no P1 present in the solution, the target bacteria could not be captured and thus the ATP bioluminescence signal generated by bacterial lysis could not be obtained, further demonstrating the successful preparation of this magnetic phage sandwich complex. Figure 3D displays ATP bioluminescence imaging with the same results as Figure 3C. and thus the ATP bioluminescence signal generated by bacterial lysis could not be obtained, further demonstrating the successful preparation of this magnetic phage sandwich complex. Figure 3D displays ATP bioluminescence imaging with the same results as Figure 3C.

The Mechanism of the Assay
The phage can discompose the bacteria after 30 min. Therefore, the effect of phage attachment time on the assay results was considered. In this work, a dual-mode method of FL and BL was used to detect both total and live bacteria and, to ensure the accuracy of the assay, fluorescence was chosen to be measured in the same solution before the bioluminescence signal to avoid errors in the results. Furthermore, as the phage probe can decompose the captured bacteria after 30 minutes, it is easy to have a false positive signal of total S.T concentration within the detection time; thus, the FL signal used to quantify S.T in this work was within 30 min ( Figure 4B), avoiding false positive interference.
Because the SYTO dye on the P2-S signal tags will greatly influence the FL signal for detecting live S.T, we also calculated the SYTO amounts on the probes. The following experiment was performed to calculate the amount: 500 μL SYTO 13 with different concentration was mixed with 500 μL 10 9 PFU/mL phage. The fluorescence light intensity (I) changes were continuously recorded with the change of dye concentration. Because SYTO 13 only emit fluorescence light while combined with phage to form phage@SYTO, the SYTO 13 amount labeled on phage@SYTO can reach saturation after the fluorescence intensity reaches the highest level. According to the amount of the SYTO-13 material at this point, the amount of SYTO 13 in each phage can be calculated. According to the highest

The Mechanism of the Assay
The phage can discompose the bacteria after 30 min. Therefore, the effect of phage attachment time on the assay results was considered. In this work, a dual-mode method of FL and BL was used to detect both total and live bacteria and, to ensure the accuracy of the assay, fluorescence was chosen to be measured in the same solution before the bioluminescence signal to avoid errors in the results. Furthermore, as the phage probe can decompose the captured bacteria after 30 minutes, it is easy to have a false positive signal of total S.T concentration within the detection time; thus, the FL signal used to quantify S.T in this work was within 30 min ( Figure 4B), avoiding false positive interference.
Because the SYTO dye on the P2-S signal tags will greatly influence the FL signal for detecting live S.T, we also calculated the SYTO amounts on the probes. The following experiment was performed to calculate the amount: 500 µL SYTO 13 with different concentration was mixed with 500 µL 10 9 PFU/mL phage. The fluorescence light intensity (I) changes were continuously recorded with the change of dye concentration. Because SYTO 13 only emit fluorescence light while combined with phage to form phage@SYTO, the SYTO 13 amount labeled on phage@SYTO can reach saturation after the fluorescence intensity reaches the highest level. According to the amount of the SYTO-13 material at this point, the amount of SYTO 13 in each phage can be calculated. According to the highest peak intensity of SYTO 13 at 0.08 µM, it can be calculated that there were about 48160 SYTO on each P2-S (equation: 8 × 10 −8 M × 5 × 10 −4 L × 6.02 × 10 23 /5 × 10 8 PFU = 48160 SYTO/phage). The number of M-P1 capture probes around one bacterium can also influence the signal. From the SEM figure, we also found 5-9 M-P1 around one bacterium. This all demonstrated that the assay has dual amplification effects due to many M-P1 surrounding the bacteria and a large number of SYTO on P2-S, all resulting in the high sensitivity of the assay. peak intensity of SYTO 13 at 0.08 μM, it can be calculated that there were about 48160 SYTO on each P2-S (equation: 8 × 10 −8 M × 5 × 10 −4 L × 6.02 × 10 23 /5 × 10 8 PFU = 48160 SYTO/phage). The number of M-P1 capture probes around one bacterium can also influence the signal. From the SEM figure, we also found 5-9 M-P1 around one bacterium. This all demonstrated that the assay has dual amplification effects due to many M-P1 surrounding the bacteria and a large number of SYTO on P2-S, all resulting in the high sensitivity of the assay.

Condition Optimization
In order to obtain the best biosensor performance for S.T detection, the modification time between P1 and MB@PDDA was optimized. As depicted in Figure 4A, before 30 min, the signal intensity rapidly increased with time. After 30 min, the signal intensity increased slowly and reached the plateau at 40 min, which indicated that the binding site on MB@PDDA was continuously occupied by P1 as time continued to change, with saturation of MB@PDDA modified by P1 reached at 40 min. Thus, the modification time of 40 min was used for subsequent studies. The time for phage to capture S.T was also optimized ( Figure 4B). The signal intensity increased significantly when the capture time was before 15 min, and then levelled off. Subsequent studies have used 15 min as the optimal capture time. The pH was one of the parameters affecting the signal of the biosensor (Figure 4C). With the increase of pH, signal intensity gradually increased and reached the maximum value at pH 7. When the pH was greater than 7, it gradually decreased. This might be because of the reduced growth activity of phages and bacteria in an overly acidic or alkaline environment, resulting in compromised formation of the sandwich complex and thus a reduced signal. The optimum pH of the biosensor was 7 during the whole experiment. Additionally, the concentration of phage probes had an impact on biosensor performance. When the concentration of MB was 1mg/mL, the concentration of P2-S increased from 10 4 PFU/mL to 10 8 PFU/mL, and the signal intensity increased rapidly. Signal

Condition Optimization
In order to obtain the best biosensor performance for S.T detection, the modification time between P1 and MB@PDDA was optimized. As depicted in Figure 4A, before 30 min, the signal intensity rapidly increased with time. After 30 min, the signal intensity increased slowly and reached the plateau at 40 min, which indicated that the binding site on MB@PDDA was continuously occupied by P1 as time continued to change, with saturation of MB@PDDA modified by P1 reached at 40 min. Thus, the modification time of 40 min was used for subsequent studies. The time for phage to capture S.T was also optimized ( Figure 4B). The signal intensity increased significantly when the capture time was before 15 min, and then levelled off. Subsequent studies have used 15 min as the optimal capture time. The pH was one of the parameters affecting the signal of the biosensor ( Figure 4C). With the increase of pH, signal intensity gradually increased and reached the maximum value at pH 7. When the pH was greater than 7, it gradually decreased. This might be because of the reduced growth activity of phages and bacteria in an overly acidic or alkaline environment, resulting in compromised formation of the sandwich complex and thus a reduced signal. The optimum pH of the biosensor was 7 during the whole experiment. Additionally, the concentration of phage probes had an impact on biosensor performance. When the concentration of MB was 1mg/mL, the concentration of P2-S increased from 10 4 PFU/mL to 10 8 PFU/mL, and the signal intensity increased rapidly. Signal intensity did not change significantly after a concentration of P2-S more than 10 8 PFU/mL. Therefore, the optimal concentration of P2-S was 10 8 PFU/mL.

Detection of the Dual-Mode Biosensor
Under the optimal conditions, the biosensor was constructed to detect S.T. In Figure 5A, with different concentrations placed on the biosensor for incubation, FL intensity increased with the increase of concentration. A good linear correlation between the logarithms of FL intensity and S.T concentration was obtained ( Figure 5B) with the linear ranging from 10 2 to 10 8 CFU/mL, and the linear regression equation of the sensor was LogFL = 0.127 Log C S.T + 2.992. The correlation coefficient (R 2 ) was 0.984. In the meantime, as shown in Figure 5C, BL intensity also increased with the increase of S.T concentration. When the linear ranging from 10 1 to 10 7 CFU/mL, the linear regression equation was LogBL = 0.161 LogC S.T + 1.951, and R 2 was 0.984 ( Figure 5D). The calculated result showed that the detection limit (LOD) was 55 CFU/mL and 9 CFU/mL, demonstrating that the biosensor possessed a low detection limit and a wide linear range.
Biosensors 2023, 12, x FOR PEER REVIEW 9 of 16 intensity did not change significantly after a concentration of P2-S more than 10 8 PFU/mL. Therefore, the optimal concentration of P2-S was 10 8 PFU/mL.

Detection of the Dual-Mode Biosensor
Under the optimal conditions, the biosensor was constructed to detect S.T. In Figure  5A, with different concentrations placed on the biosensor for incubation, FL intensity increased with the increase of concentration. A good linear correlation between the logarithms of FL intensity and S.T concentration was obtained ( Figure 5B) with the linear ranging from 10 2 to 10 8 CFU/mL, and the linear regression equation of the sensor was LogFL = 0.127 Log CS.T + 2.992. The correlation coefficient (R 2 ) was 0.984. In the meantime, as shown in Figure 5C, BL intensity also increased with the increase of S.T concentration. When the linear ranging from 10 1 to 10 7 CFU/mL, the linear regression equation was LogBL = 0.161 LogCS.T + 1.951, and R 2 was 0.984 ( Figure 5D). The calculated result showed that the detection limit (LOD) was 55 CFU/mL and 9 CFU/mL, demonstrating that the biosensor possessed a low detection limit and a wide linear range.

The Fabrication of the Portable FL Detector
The fluorescent assay was visual and rapid. A portable FL detector was fabricated to perform the detection, as shown in Figure 6A. Its configuration was described as following: the FL detector consists mainly of a black box and a light source. The overall size of the black box is 15 × 8 × 5 cm (Length × width × height), and the observation window is 6 × 4 cm (Length × width). The detection window was at the top and covered by a mobile phone for convenient observation to eliminate other distractions. A fixing bracket with 7 × 0.5 × 1 cm (Length × width × height) was designed near the detection window to ensure

The Fabrication of the Portable FL Detector
The fluorescent assay was visual and rapid. A portable FL detector was fabricated to perform the detection, as shown in Figure 6A. Its configuration was described as following: the FL detector consists mainly of a black box and a light source. The overall size of the black box is 15 × 8 × 5 cm (Length × width × height), and the observation window is 6 × 4 cm (Length × width). The detection window was at the top and covered by a mobile phone for convenient observation to eliminate other distractions. A fixing bracket with 7 × 0.5 × 1 cm (Length × width × height) was designed near the detection window to ensure that the mobile phone was in the same position each time the picture was taken, reducing errors. Meanwhile, the plate on the left side of the black box had been designed as a pull-out, which aimed to facilitate the insertion and removal of samples. The light's power was 3 W. The whole design can make sure that all samples can be fully exposed to the light source without distance difference and avoid the interference of background light to offer effective visual detection results. The commercial portable BL detector was employed to analyze live S.T ( Figure 6B). By mixing the sandwich complex with a luminescent solution containing luciferin, luciferase, and lysozyme for 5 min and then inserting the reaction solution into the portable BL detector, the bioluminescence intensity can be measured within 15 s. Both FL and BL methods are simple to operate, have short testing times and are suitable for on-site testing.
that the mobile phone was in the same position each time the picture was taken, reducing errors. Meanwhile, the plate on the left side of the black box had been designed as a pullout, which aimed to facilitate the insertion and removal of samples. The light's power was 3 W. The whole design can make sure that all samples can be fully exposed to the light source without distance difference and avoid the interference of background light to offer effective visual detection results. The commercial portable BL detector was employed to analyze live S.T ( Figure 6B). By mixing the sandwich complex with a luminescent solution containing luciferin, luciferase, and lysozyme for 5 min and then inserting the reaction solution into the portable BL detector, the bioluminescence intensity can be measured within 15 s. Both FL and BL methods are simple to operate, have short testing times and are suitable for on-site testing.

Specificity of the Biosensor
Since multiple bacterial pathogens and target bacteria coexist in most instances, the specificity of the sensor should be confirmed. In this work, the specificity is mainly derived from the phage, and can therefore be demonstrated by phage plaque experiments. As can be seen in Figure 7, many plaques appeared only in the plates containing S.T (Figure 7F), while no phage plaques appeared in the plates containing E.coli, Acinetobacter Baumann, V.P, S.A and L.M ( Figure 7A-E), which suggested that the phages screened were highly specific for S.T. The effect of magnetic composite probes on phage specificity was also explored ( Figure 7G-F). As seen in the figures, phage plaques were only produced in the presence of phage ( Figure 7G,H) and only around the magneton, and no phage plaques were produced without phage ( Figure 7I), demonstrating that the MB would not affect the specificity of the phage and providing further evidence that the phage was successfully modified on the MB.

Specificity of the Biosensor
Since multiple bacterial pathogens and target bacteria coexist in most instances, the specificity of the sensor should be confirmed. In this work, the specificity is mainly derived from the phage, and can therefore be demonstrated by phage plaque experiments. As can be seen in Figure 7, many plaques appeared only in the plates containing S.T ( Figure 7F), while no phage plaques appeared in the plates containing E.coli, Acinetobacter Baumann, V.P, S.A and L.M ( Figure 7A-E), which suggested that the phages screened were highly specific for S.T. The effect of magnetic composite probes on phage specificity was also explored ( Figure 7G-F). As seen in the figures, phage plaques were only produced in the presence of phage ( Figure 7G,H) and only around the magneton, and no phage plaques were produced without phage ( Figure 7I), demonstrating that the MB would not affect the specificity of the phage and providing further evidence that the phage was successfully modified on the MB.

The Comparison with Other Assays
For sake of explaining the advantages of this work, some previous methods of S.T detection were listed for comparison (Table 1). In comparison to the works of Chen [29], Bu [30] and Wei et al [31], although their work had an extremely low detection limit, the detection time was quite long and not suitable for in situ detection. The work of Zhuang's group took only 3 min to detect, but the detection limit was as high as 10 3 CFU/mL and with a lower sensitivity [32]. On top of that, this work can detect both live and dead S,T within 20 min, using methods of fluorescence and bioluminescence, with short detection time, low detection limit and high sensitivity.

The Comparison with Other Assays
For sake of explaining the advantages of this work, some previous methods of S.T detection were listed for comparison (Table 1). In comparison to the works of Chen [29], Bu [30] and Wei et al [31], although their work had an extremely low detection limit, the detection time was quite long and not suitable for in situ detection. The work of Zhuang's group took only 3 min to detect, but the detection limit was as high as 10 3 CFU/mL and with a lower sensitivity [32]. On top of that, this work can detect both live and dead S,T within 20 min, using methods of fluorescence and bioluminescence, with short detection time, low detection limit and high sensitivity.

Real Sample Detection
In order to further determine the applicability of the method in actual samples, the different milk and water samples were used as actual samples to be analyzed for its detection conditions. The recoveries of the four samples were tested by standard addition method and the results were summarized in Tables 2 and 3. The recovery rates of S.T in both milk and both water samples were all above 92%, and the RSD values were all less than 8%. The above results indicated that the biosensor was comparably reliable for determination both dead and live S.T residues in actual samples. Water 2 0 ---10 3 (1.027 ± 0.059) × 10 3 102.7 5.9 10 6 (0.988 ± 0.038) × 10 6 98. 8 3.8 It is worth noting that the difference was used to discriminate between live and total S.T to calculate dead S.T, while a sample with a different ratio between live and dead cells should not be correctly quantified if the difference is calculated, so it should require a differential calibration of live and dead S.T. The detailed steps are as follows: first, we have remeasured and plotted the FL calibration curves for live and dead S.T (Figure 8), and BL calibration curves for live S.T. The relevant regression equation are as follows: Log FL live = 0.124 Log C live + 3.043, R 2 = 0.992 (1) Log FL dead = 0.163 Log C dead + 2.660, R 2 = 0.989 (2) Log BL live = 0.161 Log C live + 1.951, R 2 = 0.984 (3) where FL live is the calibration FL for live S.T, FL dead is the calibration FL for dead S.T, and BL live is the calibration BL for live S.T. Then, the spiked sample with mixture of living and dead S.T. was measured by FL total and BL live , respectively. From Equation (3), the concentration of living S.T (C live ) was obtained. Next, the Clive was plug into Equation (1), the FL live of live ones can be calculated. According to the equation: FL totoal = FL live + FL dead (4), the FL dead can be acquired. After that, the FL dead was fitted into Equation (2), and the concentration of dead S.T (C dead ) was obtained. Based on the above calculation, the concentration of live and dead S.T in real samples was calculated (Table 2).

Conclusions
A one dual-mode biosensor for live and dead S.T was fabricated based on a couple of phage probes using portable bioluminescence and fluorescent meter as detectors, respectively. To fulfil the purpose, a magnetic phage capture probe (M-P1) and a phage signal tag (P2-S) labeled with SYTO 13 fluorescent dye were prepared, respectively. The total can be reflected by the FL signal from P2-S, while live bacteria can be quantified based on ATP bioluminescence. The dead S.T concentration can be deduced by the difference between total and live. Both methods can be used for quantification by the portable meter, with a detection limit of 55 CFU/mL for total S.T and 9 CFU/mL for live within 20 min. The assay was successfully employed in milk samples and prospectively can be utilized for on-site screening other dead and live bacteria, while changing the phages for the target.