SMART Biosensor for Early Diagnostic Detection of Metal Ion Release in Orthopedic Patients: Initial Outcome

Mathew, Mathew T.; Chaudhary, Thymur; Jacobs, Michael; Bijukumar, Divya; Wimmer, Markus A.; Hallab, Nadim J.; Jacobs, Joshua J.; Prasad, Shalini

doi:10.1007/s40735-018-0188-2

Cited by 5 publications

(5 citation statements)

References 23 publications

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“…The results presented here agree with the notion that higher concentrations of metal ions assist in the easier ow of electric current and hence lesser impedance Rp in a Randles CPE circuit. This result is also following our previous work with BCS 20 . Figures 6 &a show that the serum proteins, in the absence of metal ions, crowd the working surface, thereby resisting the ow of current and increasing impedance.…”

Section: Detection Of Metal Particles In Serum From Screenprinted Ele...supporting

confidence: 91%

“…BALB/c mice were selected for this step. After the collection of blood through the cardiac puncture, serum was isolated, and CoCrMo particles at different concentrations (10,20,30,40, and 50 µg/mL) were suspended in mice serum, and the electrochemical tests were performed (C) Blind study: To further validate the standard regression equation, a blind study was conducted with a pre-set concentration of CoCrMo particles (unknown to the author) suspended in collected BALB/c mice serum. The resulting Rp (impedance) value after tting using the CPE circuit in Gamry was inserted into the standard regression equation to obtain the nal concentration.…”

Section: Standardizationmentioning

confidence: 99%

“…After the estimation of the metal ions by ICP-MS, the dropsens biosensor technique was compared and concluded to estimate metal ions in biological solutions effectively. The study revealed preliminary data that could aid in the establishment of an affordable, patient-friendly point of care (POC) device akin to a glucometer to monitor implant performance 20 .…”

Section: Introductionmentioning

confidence: 99%

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Electrochemical Biosensor to Detect Implant-Derived Metal Ions: A Mice Model

et al. 2023

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Joint replacement surgeries are progressing at an increased rate in the United States, with around 1 million surgeries being performed annually. While these orthopedic implants provide a solution for a damaged joint, debris such as metal ions generated due to the wear and corrosion of the implants prove to be of considerable risk of systemic and local toxicity. As an effective diagnostic tool, there is a need to develop a patient-friendly, cost-effective, and rapid mode of metal ion detection in orthopedic patients with various implants.In this study, an electrochemical biosensor chip (Dropsens) is proposed as a diagnostic tool to detect metal ions through changes in impedance. In vivo studies were conducted using CoCrMo particles intraparticularly injected into mice. Then, blood was collected on 0th day, 14th day, and 28th day after injection and was centrifuged to obtain serum. The serum was subject to various electrochemical techniques such as Electrochemical Impedance Spectroscopy (EIS) and cyclic voltammetry (CV). Additionally, standardization experiments were performed using different concentrations of CoCrMo wear particles suspended in PBS and mice serum.The EIS standardization experiments reveal a negative correlation between impedance (Rp) value obtained after tting with the equivalent CPE model and metal ion concentration in mice serum. A regression equation was obtained from the standard experiments. The CV data for differing metal ion concentrations and the regression equation were also obtained. The mice model data, the bode plot which depicts the change in impedance and phase angle at each frequency, the positive control group shows the highest impedance at any frequency followed by the experimental 28th day mice serum. The % change in impedance between the different groups revealed the increasing presence of metal ions in serum on 28th day. The CV experimental data obtained reveal a possible correlation between CV area and metal ion concentrations. Experimental mice models were established to mimic the possible diffusion of metal particles from implants. Dropsens electrochemical biosensors were e ciently employed to detect metal ions in serum through changes in impedance.

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Section: Detection Of Metal Particles In Serum From Screenprinted Ele...supporting

confidence: 91%

Section: Standardizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electrochemical Biosensor to Detect Implant-Derived Metal Ions: A Mice Model

et al. 2023

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“…From the previous experiments it was established that 25k cycles (about 7 h) of MoC simulator system generate approximately 20 μg/ml DPs (Mathew et al, 2011;Wimmer et al, 2015). The previous studies also revealed that similar to body conditions, the hip simulators also show increased corrosion kinetics leading to increased corrosion of the CoCrMo alloy (Mathew et al, 2018). The hip simulator generated DPs were characterized for particle size (dynamic light scattering, transmission electron microscopy, Scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS)), size distribution in culture medium, size change due to coating, sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE), and inductively coupled plasma mass spectrometry and were previously discussed elsewhere (Bijukumar, Segu, Mou, et al, 2018).…”

Section: Results From the Hip Simulatormentioning

confidence: 92%

Dynamic microfluidic bioreactor—Hip simulator (DMBH) system for implant toxicity monitoring

Badhe

Bijukumar

Mesquita

et al. 2021

Biotech & Bioengineering

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The generation of degradation products (DPs) like ions and organo-metallic particles from corroding metallic implants is an important healthcare concern. These DPs generate local and systemic toxicity. The impact on local toxicity is well documented, however, little is known about systemic toxicity. This is mainly due to the limited scope of the current microtiter plate-based (static) toxicity assay techniques. These methods do not mimic the systemic (dynamic) conditions. In this study, it is hypothesized that DPs incubated with cells in static conditions might provide improper systemic toxicity results, as there is no movement mimicking the blood circulation around cells. This study reports the development of a three-chambered prototype microfluidic system connected to the operational hip implant simulator to test the cellular response induced by the DPs. This setup is called a dynamic microfluidic bioreactor-hip simulator system. We hypothesize that a dynamic microfluidic system will provide a realistic toxicology response induced by DPs than a static cell culture plate. To prove the hypothesis, Neuro2a (N2a) cells were used as representative cells to study systemic neurotoxicity by the implant DPs. The microfluidic bioreactor system was validated by comparing the cell toxicity against the traditional static system and using COMSOL modeling for media flow with DPs. The hip implant simulator used in this study was a state-of-the-art sliding hip simulator developed in our lab. The results suggested that static toxicity was significantly more compared to dynamic microfluidic-based toxicity. The newly developed DMBH system tested for in situ systemic toxicity on N2a cells and demonstrated very minimum toxicity level (5.23%) compared to static systems (31.16%). Thus, the new DMBH system is an efficient tool for in situ implant metal systemic toxicity testing.

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“…To provide early diagnosis, tibial insert wear could be indirectly estimated by measuring UHMWPE thickness with capacitive sensors [ 61 ], optical sensors, or ultrasonic-based sensors [ 62 ]. Alternatively, component wear could potentially be predicted with biosensors by analysing synovial fluid for particles of metal [ 63 ], UHMWPE, bone, or cement [ 64 ].…”

Section: Futurementioning

confidence: 99%

“Smart Knee Implants: An Overview of Current Technologies and Future Possibilities”

Kelmers

Szuba

King

et al. 2022

JOIO

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Background This article focuses on clinical implementation of smart knee implants for total knee replacement and the future development of smart implant technology. With the number of total knee replacements undertaken growing worldwide, smart implants incorporating embedded sensor technology offer opportunity to improve post-operative recovery, reducing implant failure rates, and increasing overall patient satisfaction. Methods A literature review on smart implants, historical prototypes, current clinically available smart implants, and the future potential for conventional implant instrumentation with embedded sensors and electronics was undertaken. Results The overview of current and future technology describes use cases for various diagnostic and therapeutic treatment solutions. Conclusion Smart knee implants are at an early development stage, with the first generation of smart implants being available to patients and with more novel technologies under development.

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SMART Biosensor for Early Diagnostic Detection of Metal Ion Release in Orthopedic Patients: Initial Outcome

Cited by 5 publications

References 23 publications

Electrochemical Biosensor to Detect Implant-Derived Metal Ions: A Mice Model

Electrochemical Biosensor to Detect Implant-Derived Metal Ions: A Mice Model

Dynamic microfluidic bioreactor—Hip simulator (DMBH) system for implant toxicity monitoring

“Smart Knee Implants: An Overview of Current Technologies and Future Possibilities”

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