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Article

Characterizations of Anti-Alpha-Fetoprotein-Conjugated Magnetic Nanoparticles Associated with Alpha-Fetoprotein for Biomedical Applications

1
Institute of Electro-Optical Science and Technology, National Taiwan Normal University, Taipei 116, Taiwan
2
Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan
3
Graduate Institute of Clinical Medicine, National Taiwan University, Taipei 100, Taiwan
*
Authors to whom correspondence should be addressed.
Sensors 2017, 17(9), 2018; https://doi.org/10.3390/s17092018
Submission received: 7 August 2017 / Revised: 31 August 2017 / Accepted: 1 September 2017 / Published: 3 September 2017
(This article belongs to the Special Issue Magnetic Materials Based Biosensors)

Abstract

:
In this work, we report characterizations of biofunctionalized magnetic nanoparticles (BMNPs) associated with alpha-fetoprotein (AFP) for biomedical applications. The example BMNP in this study is anti-alpha-fetoprotein (anti-AFP) conjugated onto dextran-coated Fe3O4 labeled as Fe3O4-anti-AFP, and the target is AFP. We characterize magnetic properties, such as increments of magnetization ΔMH and effective relaxation time Δτeff in the reaction process. It is found that both ΔMH and Δτeff are enhanced when the concentration of AFP, ФAFP, increases. The enhancements are due to magnetic interactions among BMNPs in magnetic clusters, which contribute extra MH after the association with MH and in turn enhance τeff. The screening of patients carrying hepatocellular carcinoma (HCC) is verified via ΔMH/MH. The proposed method can be applied to detect a wide variety of analytes. The scaling characteristics of ΔMH/MH show the potential to develop a vibrating sample magnetometer system with low field strength for clinic applications.

1. Introduction

Immunoassays are biochemical tests used to detect or quantify a specific substance, such as analytes in samples of blood or bodily fluid, using immunological reactions. Immunoassay methods include the enzyme-linked immunosorbent assay (ELISA) [1], radioimmunoassay (RIA) [2], real-time polymerase chain reaction (real-time PCR) [3], immunonephelometry [4], etc. Some immunoassays, such as ELISA, require two antigens and separation of the unbound antigens, which can be tedious and time-consuming. On the other hand, magnetic immunoassay (MIA) is a novel type of diagnostic technology using magnetic nanoparticles (MNPs) as labels to replace conventional ELISA, RIA, real-time PCR, etc. MNPs are coated with dextran so that they are encapsulated or glued together with polymers in sizes of nanometers or even micrometers. In immunomagnetic tests, MNPs are first biofunctionalized against antibodies to target antigens. Reagents consisting of biofunctionalized magnetic nanoparticles (BMNPs) are then mixed with samples. Due to the molecular interactions among BMNPs and biomarkers, magnetic clusters are conjugated in the reaction process and their magnetic properties change after the association. The magnetic signal due to the changes of magnetic properties is analyzed in order to determine the unknown amount of biomarkers. Magnetic properties (magnetic relaxation [5,6], remanent magnetization [7], Brownian relaxation [8], saturation magnetization [9], spin-spin relaxation of NMR [10], and alternative-current (AC) susceptibility reduction [11,12,13,14,15], etc.) have been developed recently. Magnetic immunoassays can be carried out simply by mixing reagents and tested samples together and taking physical measurements. Additionally, the background noise of magnetic detection is negligible; hence, high detection sensitivity can be achieved.
Based on the increment of saturation magnetization, ΔMS, Chieh et al. [16] recently reported another assay method that used a vibrating sample magnetometer (VSM) to label tumor biomarkers of alpha-fetoprotein (AFP) in clinical studies via the ΔMS/MS-versus-ФAFP curve at the saturation field HS, where ФAFP was the concentration of AFP. The authors demonstrated that VSM can be used to screen patients carrying hepatocellular carcinoma (HCC) with sensitivity better than the criterion set in clinics (0.02 μg/mL). It would be interesting to see whether we can screen HCC patients with high detection sensitivity at low magnetic fields (H). Therefore, in this work, we propose a detection method based on the scaling characteristic of the normalized increment of magnetization at low magnetic fields. It is found that MAFP and τeff are enhanced when ФAFP increases, where MAFP is the magnetization of the reagent and τeff is the effective relaxation time. We attribute those results to the molecular interactions among BMNPs in the associated magnetic clusters, which contribute extra magnetization and in turn enhance τeff. The scaling characteristic of (ΔMAFP/MAFP,0)-versus-ΦAFP curves at low magnetic fields is demonstrated, and the screening of HCC patients via the scaling characteristic is verified in clinical studies.

2. Experiments

The MNPs in this study were dextran-coated Fe3O4 (MF-DEX-0060, MagQu Co., Ltd., New Taipei City, Taiwan) with a mean core diameter of ~35 nm, as detected by x-ray diffraction (D-500, Siemens). The BMNPs were Fe3O4-anti-AFP (MF-AFP-0060, MagQu Co. Ltd., New Taipei City, Taiwan), and the biotarget was AFP, which is a biomarker for diagnosing HCC. When the AFP level is abnormally high before surgery or other therapy, it is expected to fall to normal levels following the successful removal of all cancer cells.
In performing the AFP tests, the BMNPs consisting of Fe3O4-anti-AFP were first mixed with AFP. The changes of magnetic properties after the reaction process were then characterized using a VSM (Model Hystermag, MagQu Co., Taiwan) and AC susceptometer. The data of the normalized increments of magnetization ΔM/M were analyzed for a magnetic immunoassay. The AC susceptibility was measured by a highly balanced AC susceptometer in order to monitor the real-time reaction process. The AC susceptibility χac(ω) can be expressed as follows:
χac = χ’ + iχ’’
where i = (−1)1/2, χ’’/χ’ = tanθ = ωτeff(t), and θ is the phase lag of the time-varying magnetization M(t) with respect to the applied AC magnetic field H(t).
Figure 1a shows the detection schematic of the VSM used for characterizing M after the BMNPs had conjugated with AFP. In the measurement of M, the sample vibrated with a frequency of ~30 Hz. The magnetic signal was detected with a second-order gradient coil. An electromagnet provided a magnetic field of up to 1.0 Tesla, so that the M–H curves of reagents were characterized. In assaying AFP, a reagent composed of 40 μL Fe3O4-anti-AFP was mixed with 60 μL AFP. We measured the M–H curves and analyzed the magnetization enhancement (ΔM) at low external fields (H) to establish the relationship between ΔM/M and the concentrations of AFP (ФAFP). Figure 1b shows the high-TC SQUID-based AC susceptometer for characterizing the AC magnetic susceptibility. The excitation frequency is ~16 kHz. The magnetic signal of BMNPs is picked up by a gradient coil that is coupled to a high-TC SQUID via a flux transformer. The detailed design of the pickup coil, gradient coil, and compensation coil in a homemade AC susceptometer that did not use a high-Tc SQUID was reported in [17,18].
The reagent was composed of anti-AFP-conjugated Fe3O4 labeled as Fe3O4-anti-AFP. The bio-target was AFP. Figure 2 depicts Fe3O4-anti-AFP, AFP, and a magnetic cluster composed of Fe3O4-anti-AFP-AFP.

3. Results and Discussion

This section addresses and discusses the results from the characterization of magnetic properties when biofunctionalized Fe3O4-anti-AFPs are associated with AFP. Additionally, we present the results from the real-time association of Fe3O4-anti-AFP with AFP via the time-dependency studies of τeff(t) in the reaction process using the technique of AC susceptibility. We also briefly summarize the findings. Finally, we present the clinical research on screening HCC patients via normalized increments of magnetization and address and discuss advances in sensitive bio-sensing.
Figure 3 shows ΔMH as a function of ФAFP at μ0H = 0.02 T, 0.06 T, and 0.16 T and ΔMH = MHAFP) − MHAFP = 0). For a fixed magnetic field at μ0H = 0.02 T, ΔMH = 0.015 emu/g when ФAFP = 0.01 μg/mL, and ΔMH increases to ΔMμ0H = 0.02 T = 0.13 emu/g when ФAFP = 10 μg/mL. For μ0H = 0.16 T, ΔMμ0H = 0.16 T = 0.03 emu/g when ФAFP = 0.01 μg/mL, and ΔMH increases to ΔMμ0H = 0.16 T = 0.23 emu/g when ФAFP = 10 μg/mL. Hence, we have demonstrated an enhancement of ΔMH when ФAFP increases at a fixed magnetic field. We attribute those enhancements to the fact that more magnetic clusters are associated and stronger magnetic interactions among BMNPs are present.
Figure 4 shows the normalized increment of magnetization, ΔMAFP/MAFP,0, as a function of ФAFP at μ0H = 0.02 T, 0.06 T, and 0.16 T, where ΔMAFP = M(ФAFP) − M(ФAFP = 0), MAFP,0 = MHAFP = 0). It is found that ΔMAFP/MAFP,0 as a function of ФAFP in external magnetic fields can be scaled to a universal logistic function described by the following formula [15]:
ΔMAFP/MAFP,0 = (A − B)/{1 + [(ФAFP)/(Ф0)]γ} + B
where A and B are dimensionless quantities and Ф0 is dimensionless. The fitting parameters are as follows: A = 0.173, B = 34.2, Φ0 = 3410 μg/mL, and γ = 0.5. We have established a relationship between ΔMAFP/MAFP,0 and ФAFP with ФAFP varied from 0.01 μg/mL to 10 μg/mL. Therefore, the unknown amounts of AFP can be determined via a scaling characteristic of the (ΔMAFP/MAFP,0)-versus-ФAFP curve, which is versatile and can be applied to assay other biomarkers. In assaying other biomarkers, the relationship between ΔMbiomarker/Mbiomarker,0 and Фbiomarker is first established and then ΔMbiomarker/Mbiomarker,0 and the Фbiomarker curve are applied to determine the unknown amount of biomarkers quantitatively.
To observe the real-time association of τeff when Fe3O4-anti-AFPs are associated with AFP directly, we characterize the time-dependent τeff via the following formula: tanθ = ωτeff, where χ’’/χ’ = tanθ and χ’ and χ’’ are the real and imaginary parts of AC susceptibility in Equation (1). Figure 5a shows τeff(t) as a function of time in the reaction process. The reagent shows τeff = ~1.3 μs, and τeff is stable to τeff = 1.3 μs at t = 7200 s. It takes approximately 6000 s for the reagent to complete the association and τeff is increased to τeff = ~1.75 μs with ФAFP = 1 μg/mL. Therefore, a detection time of 7200 s is suggested. The real-time association of Fe3O4-anti-AFP with AFP is verified.
The Brownian relaxation time, τB, is a function of the hydrodynamic volume of a magnetic particle, VH, the viscosity of the medium, η, the Boltzmann’s constant, k, and the absolute temperature, T, which is expressed as follows [19]:
τB = 3 VHη/kT
In the reaction process, we assume that the viscosity and temperature are constant. The Brownian relaxation time is proportional to the hydrodynamic volume of the magnetic particle. The ratio of the increase in τeff after the reaction process is 1.35 with an ФAFP value of 1 μg/mL. The effective diameter of the magnetic cluster is 2.4 times larger than a single magnetic particle when ФAFP is 1 μg/mL. It presents the formation of magnetic clusters during the reaction process.
Figure 5b shows Δτeffeff,0 as a function of ФAFP with ФAFP ranging from ФAFP = 0.001 μg/mL to ФAFP = 1 μg/mL. The reagent shows τeff = 1.3 μs, and τeff is enhanced to τeff = ~1.75 μs when ФAFP = 1 μg/mL. The enhancement of τeff is due to the presence of magnetic clusters in the reaction process. The magnetic interaction among BMNPs enhances M, which in turn increases τeff. The (Δτeffeff,0)-versus-ФAFP curve follows the characteristic curve [15]:
Δτeffeff,0 = (A1 − B1)/{1+[(ФAFP)/(Ф0)]γ} + B1,
where Δτeff = τeff(7200 s) − τeff(t = 0) and τeff,0 = τeff(t = 0). The curve is fitted to the following parameters: A1 = −0.013 μs, B1 = 0.56 μs, Φ0 = 0.15 μg/mL, and γ = 0.52. Equation (4) reveals the concentration dependency of the characteristic of Δτeffeff,0 after the BMNPs have completed the association with AFP. The (Δτeffeff,0)-versus-ΦAFP curve shown in Figure 5b can be applied to screening patients carrying HCC. Normalized Δτeffeff,0 is analyzed instead of Δτeff for a magnetic immunoassay, because this enables us to eliminate minor differences in magnetic signals due to minor differences in sample amounts used from run to run, which will enhance the detection sensitivity.
Detection sensitivity can be defined by the noise level with standard deviations for the detected signal at low concentrations [20]. In this study, the detection sensitivity levels are 0.0024 μg/mL and 0.0177 μg/mL, as determined by measuring Δτeffeff,0 and ΔMAFP/MAFP,0 respectively. The reference criterion of the AFP serum level for HCC is 0.02 μg/mL. The sensitivity of both methods reaches the criteria for a clinical AFP assay. The feasibility of AFP is demonstrated by measuring Δτeffeff,0 and ΔMAFP/MAFP,0.
In this study, we characterized magnetic properties when BMNPs are associated with AFPs for biomedical applications. The findings in the characterization of magnetic properties are briefly summarized as follows. First, M and τeff are enhanced when reagents composed of BMNPs are conjugated with AFP in the reaction process. The magnetic interactions among BMNPs in magnetic clusters enhance M, which in turn increases τeff. Second, the real-time association of BMNPs with AFP was demonstrated in the time-dependent τeff,. Third, bio-detection based on the (Δτeffeff,0)-versus-Φbiomarkers curve provided a sensitive methodology for assaying unknown amounts of AFP, and BMNPs could be applied to assay large molecules such as AFP as well as small molecules such as C-reactive protein(CRP) [21]. Finally, the proposed detection methodology based on the (Δτeffeff,0)-versus-Φbiomarkers curve was versatile, and the (ΔMAFP/MAFP,0)-versus-ФAFP curves shown in Figure 4 were scaled to a characteristic function described by Equation (2). The results confirm that both changes in ΔMAFP/MAFP,0 and Δτeffeff,0 are caused by the formation of magnetic clusters and can be applied to sense a wide variety of biomarkers.
The sensitivity levels of Δτeffeff,0 and ΔMAFP/MAFP,0 reach the criteria for a clinical AFP assay. The cost of a high-TC SQUID-based AC susceptometer is much higher than that of a VSM with a low-strength magnet. The low-strength VSM has high potential for commercial and clinical applications. Therefore, the screening of HCC patients can be addressed by measuring ΔMH/MH,0. Since the data shown in Figure 4 are scaled to a characteristic function described by Equation (2), it would be interesting to verify whether we can also obtain high detection sensitivity at low magnetic fields via Equation (2). Hence, we can apply Equation (2) at a low magnetic field, say μ0H = 0.065 T, to analyze AFP levels in clinical studies. To verify this, we show in Figure 6a (ΔMAFP/MAFP,0)-versus-ФAFP with data analyzed at μ0H = 0.065 T, where ΔMAFP = MHAFP) − MHAFP = 0) and MAFP,0 = MHAFP = 0). The background magnetic signal of serum from healthy persons in ΔMAFP/MAFP,0 is deducted in the data analysis. To screen patients carrying HCC and healthy persons, we mixed 40 μL 0.1 emu/g of reagent with 60 μL of serum. The data for establishing the standard curve are marked with a solid dot (•). AFP levels in serum for HCC patients are marked with an open triangle (Δ), while AFP levels for healthy persons are marked with an open square (). The reference criterion of the AFP serum level for HCC is 0.02 μg/mL. We found that the average AFP levels for patients carrying HCC were higher than ~0.2 μg/mL, which is significantly higher than the criterion set in clinics (0.02 μg/mL). The average AFP levels for healthy persons were below ~0.02 μg/mL, except for one healthy person who showed a false positive (AFP level = ~0.03 μg/mL). Figure 6b shows ΔMAFP/MAFP,0 as a function of ФAFP with data analyzed at 0.16 T. HCC patients showed AFP levels higher than the clinical criterion. Healthy persons showed AFP levels of 0.001 μg/mL, except for one healthy person with a higher AFP level of ~0.4 μg/mL. The estimated values of ФAFP were different between μ0H = 0.065 T and 0.16 T. It was probably due to the magnetic clustering effect that induces background magnetic noises. Besides, the ΔMAFP/ΔMAFP,0 of serum tested at 0.16 T is higher than that at 0.065 T. It leads that the estimated AFP concentration at 0.16 T is higher than that at 0.065 T. The reason may be due to the larger background magnetization of serum than that of the AFP solution. The reference magnetization, M(ФAFP = 0), in the clinical test may be considered by using the averaging magnetization of healthy persons to reduce the effect in the clinical test. Thus, the feasibility of screening HCC patients by assaying AFP levels in serum was verified.
The AFP level in serum was recently determined via the ΔMS-versus-ФAFP curve at the saturation field μ0HS = ~0.4 T [16], where ΔMS is the increment of the saturated magnetization. A clear demarcation between the normal group and the HCC group was verified in the test results, which indicates the feasibility of using ΔMS-versus-ФAFP at the saturation field as the primary analysis factor for identifying the AFP risk level in patients. In this work, the screening of HCC patients was fulfilled at low magnetic fields, which makes the detection platform simple for biomedical application users.

4. Conclusions

In summary, we performed measurements of magnetization (M–H curves) and AC susceptibility when reagents consisting of Fe3O4-anti-AFP were conjugated with AFP. The scaling characteristic of (ΔMAFP/MAFP,0)-versus-ΦAFP curves at low magnetic fields was demonstrated, and bio-sensing using BMNPs via increments of magnetization was proposed. We showed that BMNPs can be applied to assay large as well as small molecules. The screening of HCC patients via the scaling characteristic was verified in clinical studies. The detection mechanism based on the scaling characteristic showed potential to develop a compact VSM with a low magnetic field for biomedical applications.

Acknowledgments

This work is supported by the Ministry of Science and Technology of Taiwan under grant number: 104-2112-M-003-005, 105-2112-M-003-012 and by ‘’Aim for the Top University Plan’’ of the National Taiwan Normal University and the Ministry of Education, Taiwan, R.O.C under grant number 104J1A27 and 105J1A27.

Author Contributions

Shu-Hsien Liao conceived and designed the experiments, and wrote the manuscript; Yu-Kai Su and Jen-Jie Chieh performed the experiments; Yu-Kai Su, Yuan-Fu Tong and Han-Sheng Huang analyzed the data; Shu-Hsien Liao and Kai-wen Huang coordinated and supervised the work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lequin, R.M. Enzyme Immunoassay (EIA)/Enzyme-Linked Immunosorbent Assay (ELISA). Clin. Chem. 2005, 51, 2415–2418. [Google Scholar] [CrossRef] [PubMed]
  2. Yalow, R.S.; Berson, S.A. Immunoassay of endogenous plasma insulin in man. J. Clin. Investig. 1960, 39, 1157–1175. [Google Scholar] [CrossRef] [PubMed]
  3. Rajkovic, A.; El-Moualij, B.; Uyttendaele, M.; Brolet, P.; Zorzi, W.; Heinen, E.; Foubert, E.; Debevere, J. Immunoquantitative real-time PCR for detection and quantification of Staphylococcus aureus enterotoxin B in foods. Appl. Environ. Microbiol. 2006, 72, 6593–6599. [Google Scholar] [CrossRef] [PubMed]
  4. Yang, S.Y.; Wu, R.M.; Chien, C.F.; Horng, H.E.; Hong, C.-Y.; Yang, H.C. One-sample measurement in laser nephelometric immunoassay using magnetic nanoparticles. Appl. Phys. Lett. 2006, 89, 244106. [Google Scholar] [CrossRef]
  5. Weitschies, W.; Kötitz, R.; Bunte, T.; Trahms, L. Determination of relaxing or remanent nanoparticle magnetization provides a novel binding-specific technique for the evaluation of immunoassays. Pharm. Pharmacol. Lett. 1997, 7, 1. [Google Scholar]
  6. Lee, S.K.; Myers, W.R.; Grossman, H.L.; Cho, H.-M.; Chemla, Y.R.; Clarke, J. Magnetic gradiometer based on a high-transition temperature superconducting quantum interference device for improved sensitivity of a biosensor. Appl. Phys. Lett. 2002, 81, 3094. [Google Scholar] [CrossRef]
  7. Enpuku, K.; Minotani, T.; Gima, T.; Kuroki, Y.; Itoh, Y.; Yamashita, M.; Katakura, Y.; Kuhara, S. Detection of Magnetic Nanoparticles with Superconducting Quantum Interference Device (SQUID) Magnetometer and Application to Immunoassays. Jpn. J. Appl. Phys. 1999, 38, L1102. [Google Scholar] [CrossRef]
  8. Enpuku, K.; Yoshida, T.; Bhyuiya, A.K.; Watanabe, H.; Asai, M. Characterization of magnetic markers and sensors for liquid phase immmunoassay using Brownian relaxation. IEEE Trans. Magn. 2012, 48, 2838–2891. [Google Scholar]
  9. Horng, H.E.; Yang, S.Y.; Hong, C.-Y.; Liu, C.M.; Tsai, P.S.; Yang, H.C.; Wu, C.C. Biofunctionalized magnetic nanoparticles for high-sensitivity immunomagnetic detection of human C-reactive protein. Appl. Phys. Lett. 2006, 88, 252506. [Google Scholar] [CrossRef]
  10. Lee, H.; Sun, E.; Ham, D.; Weissleder, R. Chip–NMR biosensor for detection and molecular analysis of cells. Nat Med. 2008, 14, 869–874. [Google Scholar] [CrossRef] [PubMed]
  11. Hong, C.-Y.; Wu, C.C.; Chiu, Y.C.; Yang, S.Y.; Horng, H.E.; Yang, H.C. Magnetic Susceptibility Reduction Method for Magnetically Labeled Immunoassay. Appl. Phys. Lett. 2006, 88, 212512. [Google Scholar] [CrossRef]
  12. Yang, S.Y.; Jian, Z.F.; Chieh, J.J.; Horng, H.E.; Yang, H.C.; Huang, I.J.; Hong, C.Y. Wash-free, antibody-assisted magnetoreduction assays of orchid viruses. J. Virol. Methods 2008, 149, 334–337. [Google Scholar] [CrossRef] [PubMed]
  13. Huang, K.-W.; Chieh, J.-J.; Horng, H.-E.; Hong, C.-Y.; Yang, H.-Y. Characteristics of magnetic labeling on liver tumors with anti-alpha-fetoprotein-mediated Fe3O4 magnetic nanoparticles. Int. J. Nanomed. 2012, 7, 2987–2996. [Google Scholar]
  14. Yang, S.Y.; Yang, C.C.; Horng, H.E.; Shin, B.Y.; Chieh, J.J.; Hong, C.Y.; Yang, H.C. Experimental study on low-detection limit for immuomagnetic reduction assays by manupulating the reagents entities. IEEE Trans. NanobioSci. 2013, 12, 65–68. [Google Scholar] [CrossRef] [PubMed]
  15. Yang, C.C.; Yang, S.Y.; Chieh, J.J.; Horng, H.E.; Hong, C.Y.; Yang, H.C. Universal behavior of bio-molecule-concentration dependent reduction in AC magnetic susceptibility of bio-reagents. IEEE Magn. Lett. 2012, 3, 1500104. [Google Scholar] [CrossRef]
  16. Chieh, J.-J.; Huang, K.-W.; Shi, J.-C. Sub-tesla-field magnetization of vibrated magnetic nanoreagents for screening tumor markers. Appl. Phys. Lett. 2015, 106, 073703. [Google Scholar] [CrossRef]
  17. Rosensweig, R.E. Heating magnetic fluid with alternating magnetic field. Mater 2002, 252, 370–374. [Google Scholar] [CrossRef]
  18. Liao, S.H.; Yang, H.C.; Horng, H.E.; Chieh, J.J.; Chen, K.L.; Chen, H.H.; Chen, J.Y.; Liu, C.I.; Liu, C.W.; Wang, L.M. Time-dependent phase lag of bio-functionalized magnetic nanoparticles conjugated with biotargets studied with alternating current magnetic susceptometor for liquid phase immunoassays. Appl. Phys. Lett. 2013, 103, 243703. [Google Scholar] [CrossRef]
  19. Huang, K.-W.; Yang, S.-Y.; Hong, Y.-W.; Chieh, J.-J.; Yang, C.-C.; Horng, H.-E.; Wu, C.-C.; Hong, C.-Y.; Yang, H.-C. Feasibility studies for assaying alpha-fetoprotein using antibody-activated magnetic nanoparticles. Int. J. Nanomed. 2012, 7, 1991–1996. [Google Scholar]
  20. Koh, I.; Josephson, L. Magnetic Nanoparticle Sensors. Sensors 2009, 9, 8130–8145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Chen, K.-L.; Chen, J.-H.; Liao, S.-H.; Chieh, J.-J.; Horng, H.-E.; Wang, L.-M.; Yang, H.-C. Magnetic Clustering Effect during the Association of Biofunctionalized Magnetic Nanoparticles with Biomarkers. PLoS ONE, 2015, 10, e0135290. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Detection scheme of (a) vibrating sample magnetometer; (b) high-Tc SQUID-based AC susceptometer.
Figure 1. Detection scheme of (a) vibrating sample magnetometer; (b) high-Tc SQUID-based AC susceptometer.
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Figure 2. Pictures showing (a) biofunctionalized Fe3O4-anti-AFP; (b) AFPs; (c) magnetic cluster composed of Fe3O4-anti-AFP-AFP.
Figure 2. Pictures showing (a) biofunctionalized Fe3O4-anti-AFP; (b) AFPs; (c) magnetic cluster composed of Fe3O4-anti-AFP-AFP.
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Figure 3. The increments of magnetization ΔMH as a function of ФAFP at low magnetic fields at μ0H = 0.02 T, 0.06 T, 0.16 T.
Figure 3. The increments of magnetization ΔMH as a function of ФAFP at low magnetic fields at μ0H = 0.02 T, 0.06 T, 0.16 T.
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Figure 4. The normalized increment of magnetization ΔMAFP/MAFP,0 as a function of ФAFP with data analyzed at μ0H = 0.02 T, 0.06 T and 0.16 T.
Figure 4. The normalized increment of magnetization ΔMAFP/MAFP,0 as a function of ФAFP with data analyzed at μ0H = 0.02 T, 0.06 T and 0.16 T.
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Figure 5. (a) τeff as a function of time, (b) Δτeffeff,0 as a function of ФAFP with ФAFP from ФAFP = 0.001 μg/mL to ФAFP = 1 μg/mL.
Figure 5. (a) τeff as a function of time, (b) Δτeffeff,0 as a function of ФAFP with ФAFP from ФAFP = 0.001 μg/mL to ФAFP = 1 μg/mL.
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Figure 6. The normalized increment of magnetization ΔMAFP/MAFP,0 as a function of ФAFP with data analyzed at μ0H = 0.065 T. On the standard curve, AFP levels for healthy persons and HCC patients are shown.
Figure 6. The normalized increment of magnetization ΔMAFP/MAFP,0 as a function of ФAFP with data analyzed at μ0H = 0.065 T. On the standard curve, AFP levels for healthy persons and HCC patients are shown.
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MDPI and ACS Style

Liao, S.-H.; Huang, H.-S.; Chieh, J.-J.; Su, Y.-K.; Tong, Y.-F.; Huang, K.-W. Characterizations of Anti-Alpha-Fetoprotein-Conjugated Magnetic Nanoparticles Associated with Alpha-Fetoprotein for Biomedical Applications. Sensors 2017, 17, 2018. https://doi.org/10.3390/s17092018

AMA Style

Liao S-H, Huang H-S, Chieh J-J, Su Y-K, Tong Y-F, Huang K-W. Characterizations of Anti-Alpha-Fetoprotein-Conjugated Magnetic Nanoparticles Associated with Alpha-Fetoprotein for Biomedical Applications. Sensors. 2017; 17(9):2018. https://doi.org/10.3390/s17092018

Chicago/Turabian Style

Liao, Shu-Hsien, Han-Sheng Huang, Jen-Jie Chieh, Yu-Kai Su, Yuan-Fu Tong, and Kai-Wen Huang. 2017. "Characterizations of Anti-Alpha-Fetoprotein-Conjugated Magnetic Nanoparticles Associated with Alpha-Fetoprotein for Biomedical Applications" Sensors 17, no. 9: 2018. https://doi.org/10.3390/s17092018

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