The rising prevalence of Chronic Kidney Disease (CKD) has necessitated efforts towards the development of cost-effective and accurate biosensors for serum creatinine, which is a potent biomarker reflecting kidney function. This work presents a novel and cost-effective technique to estimate serum creatinine without any sample preprocessing. The technique involves the conversion of creatinine by a monoenzymatic pathway to 1-methylhydantoin. The concentration of 1-methylhydantoin is then quantified by utilizing its innate ability to form a complex with transition metals such as cobalt. The complex formation has been validated using optical spectroscopy and the transmittance at 290 nm wavelength is used to identify the optimum concentration of cobalt chloride in sensing chemistry. This chemical assay is shown to be robust against interference from serum albumin, the abundant plasma protein that can potentially influence the sensor response. The electrochemical biosensor developed using screen-printed electrodes thus provides highly selective creatinine estimation over the range of 0.2-4 mg/dL in a sample volume of 300 μL with no preprocessing and hence can be easily translated into a viable point-of-care (POC) device.
The rising prevalence of Chronic Kidney Disease (CKD) has necessitated efforts towards the development of cost-effective and accurate biosensors for serum creatinine, which is a potent biomarker reflecting kidney function. This work presents a novel and cost-effective technique to estimate serum creatinine without any sample preprocessing. The technique involves the conversion of creatinine by a monoenzymatic pathway to 1-methylhydantoin. The concentration of 1-methylhydantoin is then quantified by utilizing its innate ability to form a complex with transition metals such as cobalt. The complex formation has been validated using optical spectroscopy and the transmittance at 290 nm wavelength is used to identify the optimum concentration of cobalt chloride in sensing chemistry. This chemical assay is shown to be robust against interference from serum albumin, the abundant plasma protein that can potentially influence the sensor response. The electrochemical biosensor developed using screen-printed electrodes thus provides highly selective creatinine estimation over the range of 0.2-4 mg/dL in a sample volume of 300 μL with no preprocessing and hence can be easily translated into a viable point-of-care (POC) device.
Chronic Kidney Disease (CKD) is associated
with a significant decline
in renal function, as reflected by the Glomerular Filtration Rate
(GFR). According to the Kidney Disease Outcomes Quality Initiative
(KDOQI), patients with GFR of <60 mL/min/1.73 m2 or
GFR of ≥60 mL/min/1.73 m2, which is calculated based
on the clearance of an established renal filtration marker over a
period of at least 3 months, are diagnosed with CKD.[1,2] The global prevalence of CKD is alarming, with developing countries
facing a higher risk owing to increased population, lower socioeconomic
status, and limited resources for optimal care. The prevalence of
CKD in India is 17.2%, with an estimated age-adjusted incidence rate
of End-Stage-Renal-Disease (ESRD) to be 229 per million population.[3,4] The lack of community screening programs and asymptomatic progression
of the disease leads to its diagnosis only in the advanced stages,
whereby effective intervention involves either lifelong dialysis or
renal replacement therapy. This reduces the quality of life with a
considerable financial burden. Hence, efforts toward early detection
of CKD are required for its effective management.[5]There are several renal filtration markers that can
be utilized
to calculate GFR and monitor renal efficiency. These include creatinine,
neutrophil gelatinase-associated lipocalin, urine protein, β-2-microglobulin,
and cystatin C.[6] However, the most commonly
used exogenous biomarker is creatinine due to its analytical simplicity,
relative susceptibility to changes in diet and hydration, and exclusive
clearance into the urine. The concentration of creatinine in serum
is a more reliable indicator of renal dysfunction, as it should have
trace levels under physiological conditions, owing to its excretion
in urine. Its concentration in serum is 0.2–1 mg/dL in females
and 0.4–1.2 mg/dL in males.Several optical and electrochemical
biosensors for creatinine estimation
have been developed.[7,8] However, they do not exhibit the
required selectivity in the complex matrix of whole blood or serum.
There are nine point-of-care (POC) devices in the market for creatinine
estimation that rely on cascaded enzymatic conversion followed by
an optical readout signal in most cases. The use of multiple enzymatic
pathways has an inherent disadvantage of multiple reaction kinetics
governed by different enzymes, thereby affecting creatinine estimation
in point-of-care settings, which is necessary over a wide range of
ambient temperature and humidity variations. Also, the electrochemical
techniques focus on converting liberated ammonia into hydrogen peroxide
through cascaded enzymatic reactions, which can be affected by endogenous
ammonia concentration. Finally, the use of multiple enzymes makes
it cost-prohibitive and poses an issue in its utilization for community
screening programs or rural healthcare awareness programs. In this
work, we have developed an enzymatic amperometric sensor for creatinine
by enzymatic hydrolysis of creatinine by creatinine deiminase to produce
1-methylhydantoin, and then complexing it with the transition metal
to produce the redox signal. The sensing chemistry has been optimized
on disposable screen-printed electrodes that require a small sample
volume of 300 μL and a reaction time of 3 min. This highlights
the advantages of low cost, due to the use of the widely adopted electrochemical
platform and monoenzymatic detection pathway, simplicity of analytical
instrumentation, and high specificity due to the involvement of enzyme.
The measurement of creatinine has been performed in saline and in
the presence of physiological levels of serum proteins. We have been
able to accurately quantify creatinine in serum from 0.2 to 4 mg/dL
within 3 min without any sample preprocessing.
Principle of Detection
Creatinine is hydrolyzed to form N-methylhydantoin
(primarily 1-methylhydantoin) by the enzyme creatinine deiminase as
shown in Figure .
The reaction also releases ammonia as a byproduct, which has been
used in the past as an electrochemical probe for creatinine estimation.
However, the ammonia detection technique is adversely affected by
the influence of endogenous ammonia present in the body. In this work,
we focus on the detection of 1-methylhydantoin, which overcomes the
disadvantages of ammonia detection. This has been achieved by using
the ability of 1-methylhydantoin to bind transition metals such as
cobalt. Cobalt ions would exhibit a current signal on application
of potential due to a change in its oxidation state as shown in Figure a. However, in the
presence of 1-methylhydantoin, cobalt forms a complex with it that
increases the intensity of the current signal as shown in Figure b.
Figure 1
Principle of electrochemical
detection of 1-methylhydantoin by
cobalt ions. (a) Case I: In the absence of analyte and (b) Case II:
In the presence of analyte.
Principle of electrochemical
detection of 1-methylhydantoin by
cobalt ions. (a) Case I: In the absence of analyte and (b) Case II:
In the presence of analyte.The concentration of 1-methylhydantoin is then used as an indirect
measure of the concentration of creatinine, as shown in Figure b. This is possible by its
redox labeling with a transition metal, cobalt as mentioned before.[9−13] Creatinine in the test sample undergoes conversion to 1-methylhydantoin
in the presence of creatinine deiminase. The generated 1-methylhydantoin
binds with cobalt ions to yield an electroactive cobalt–hydantoin
complex. This complex generates a current signal that is dependent
on the concentration of the analyte, as indicated in Figure b.In the electrochemical
cell, creatinine diffuses from the bulk
solution and undergoes enzymatic conversion to form 1-methylhydantoin,
which is then subsequently quantified by its ligand formation with
cobalt as illustrated in Figure . The system exhibits a current signal in proportion
to the formation of the electroactive complex, which is correlated
to the concentration of 1-methylhydantoin and in turn, creatinine.
Figure 2
Principle
of electrochemical estimation of creatinine using enzymatic
conversion into 1-methylhydantoin.
Principle
of electrochemical estimation of creatinine using enzymatic
conversion into 1-methylhydantoin.
Results
and Discussion
Optical Characterization of Cobalt–Hydantoin
Complex
Transmittance spectra of cobalt chloride were observed
in the presence
of increasing concentration of 1-methylhydantoin as shown in Figure a. The inset figure
expands the spectra as recorded from 300 to 600 nm. It is observed
that cobalt exhibits its characteristic peak at ∼500 nm (Figure d), while the peak
at ∼209 nm (Figure c) is associated with 1-methylhydantoin.
Figure 3
(a) Transmittance spectra
of cobalt chloride in the presence of
increasing concentration of 1-methylhydantoin. Variation in transmittance
at (b) 290 nm, (c) 209 nm, and (d) 500 nm with increasing concentration
of 1-methylhydantoin.
(a) Transmittance spectra
of cobalt chloride in the presence of
increasing concentration of 1-methylhydantoin. Variation in transmittance
at (b) 290 nm, (c) 209 nm, and (d) 500 nm with increasing concentration
of 1-methylhydantoin.The intensity of the
cobalt peak did not indicate any correlation
with the increasing concentration of 1-methylhydantoin when cobalt
ions were present in a ratio of 1:1 to 15:1. However, when cobalt
ions were present in excess (50:1), i.e., 50 times the concentration
of 1-methylhydantoin, the transmittance of cobalt peak indicated a
linearly decreasing correlation with hydantoin concentration. It is
also observed that the intensity of the hydantoin peak remains unaltered
in the presence of the increasing concentration of cobalt chloride.In addition to the characteristic peaks of cobalt and 1-methylhydantoin,
a new shoulder peak at ∼290 nm (Figure b) was observed in the cobalt–hydantoin
mixtures. This may be attributed to the possible ligand formation
between cobalt and 1-methylhydantoin. The hypothesis was confirmed
by monitoring the intensity of the shoulder peak with different concentrations
of cobalt chloride to increasing concentration of 1-methylhydantoin.
It was observed that the transmittance of the possible complex peak
decreased with the increasing concentration of 1-methylhydantoin in
most cases. This is attributed to the increased formation of the cobalt–hydantoin
complex in the presence of increasing concentration of 1-methylhydantoin.
Maximum sensitivity was observed when cobalt chloride was present
in a ratio of 50:1 with 1-methylhydantoin concentration.
Electrochemical
Detection of 1-Methylhydantoin
Cyclic
voltammograms of 0.6 mg of cobalt chloride were recorded in the presence
of varying concentrations of 1-methylhydantoin, as shown in Figure a. The potential
was varied from 0 to −1.5 V, and the corresponding current
signals were recorded as shown in the voltammograms. Cobalt indicates
a reduction peak at ∼ −1.1 V, indicative of the transition
of Co (II) to Co(I) ions and an oxidation peak at −0.35 V due
to conversion of Co(I) to Co(II) ions. A positive reduction peak at
−0.9 V was also observed as the potential sweep reversed from
−1.5 to 1 V. This is attributed to the reduction of cobalt
ions localized near the electrode surface by virtue of sluggishness
in the diffusion of cobalt ions away from the electrode surface. This
residual reduction current in the reverse sweep of cyclic voltammogram
is characteristic of cobalt ions, as it exhibits a tendency to deposit
on the electrode surface due to the application of potential gradient.
Figure 4
(a) Cyclic
voltammogram of 0.6 mg of cobalt chloride in the presence
of increasing concentration of 1-methylhydantoin. (b) Variation in
oxidation and reduction current of cobalt chloride with different
concentrations of 1-methylhydantoin.
(a) Cyclic
voltammogram of 0.6 mg of cobalt chloride in the presence
of increasing concentration of 1-methylhydantoin. (b) Variation in
oxidation and reduction current of cobalt chloride with different
concentrations of 1-methylhydantoin.The reduction current and the oxidation current indicated a linearly
increasing correlation with the concentration of 1-methylhydantoin
in saline, as indicated in Figure b after 30 s. Triplicated measurements were performed
for each concentration and the coefficient of variation was within
10%. The oxidation current was lower compared to the reduction current
owing to the irreversibility of electron transfer by cobalt ions.
Further, the oxidation current signal indicated a higher sensitivity
and reduced variability as compared to the reduction current signal.The electrochemical measurements for the quantification of 1-methylhydantoin
were then performed in the presence of physiological levels of serum
albumin, i.e., 3–5 g/dL albumin to ascertain its impact on
the signal resolution. A linearly increasing oxidation current signal
was observed even in the presence of albumin with varying concentrations
of 1-methylhydantoin from 0.2 to 4 mg/dL, as shown in Figure . The sensitivity of measurement
was independent of the protein concentration. The coefficient of variation
was within 10% at all concentrations of 1-methylhydantoin with varying
concentrations of serum proteins.
Figure 5
Variation in oxidation current of 0.6
mg cobalt chloride for different
concentrations of 1-methylhydantoin in the presence of 3–5
g/dL albumin.
Variation in oxidation current of 0.6
mg cobalt chloride for different
concentrations of 1-methylhydantoin in the presence of 3–5
g/dL albumin.
Detection of Creatinine
Using Mediated Enzymatic Reaction
Cyclic voltammograms of
cobalt ions along with creatinine deiminase
were recorded in the presence of varying concentrations of creatinine,
as indicated in Figure a. In this case, the oxidation current signal does not indicate a
reliable trend. This may be attributed to insufficient reaction kinetics
for the complete oxidation of the cobalt–hydantoin complex
after enzymatic conversion. The consistently lower intensity of the
oxidation current in Figures b and 6b highlights an inherent sluggishness
in the oxidation of the cobalt–hydantoin complex. Furthermore,
the presence of the enzyme and unconverted creatinine also increases
the diffusive resistance. This resistive component is amplified in
the oxidation current due to greater accumulation as a result of relatively
higher time (reduction peak appears at ∼13 s, while the oxidation
peak appears at ∼27 s).
Figure 6
(a) Cyclic voltammograms of 0.6 mg of
cobalt chloride with 0.06
unit of creatinine deiminase in the presence of varying concentrations
of creatinine. (b) Variation in the current of 0.6 mg of cobalt chloride
with 0.06 unit of creatinine deiminase to increasing concentration
of creatinine.
(a) Cyclic voltammograms of 0.6 mg of
cobalt chloride with 0.06
unit of creatinine deiminase in the presence of varying concentrations
of creatinine. (b) Variation in the current of 0.6 mg of cobalt chloride
with 0.06 unit of creatinine deiminase to increasing concentration
of creatinine.However, a new reduction peak
is observed at −1.4 V, whose
current signal exhibits a better correlation to the concentration
of the analyte. Hence, the reduction current signal at −1.4
V is monitored henceforth. On the introduction of creatinine deiminase,
the increasing concentration of creatinine is converted to 1-methylhydantoin,
which then binds with cobalt ions and results in an increasing intensity
of the reduction current signal with comparable sensitivity, as shown
in Figure b. It is
to be noted that the linearly correlated current signals for the detection
of creatinine via 1-methylhydantoin required an assay time of 3 min
for synergistic enzymatic conversion of creatinine into detectable
1-methylhydantoin and its subsequent electrochemical estimation.
Optimization of Parameters of Mediated Enzymatic Reaction
The influence of various parameters, such as reaction time and
concentrations of enzyme and mediator, on the electrochemical quantification
of creatinine, was evaluated. The concentration of cobalt chloride
was not varied, as it has been optimized for the estimation of the
maximum concentration of 1-methylhydantoin produced in the reaction.
Variation
of Reaction Time
The effect of reaction time
on the electrochemical sensing of creatinine subsequent to enzymatic
conversion was investigated in detail, as shown in Figure a. For 1 min reaction time,
the intensity of the reduction current signals did not show any trend.
On the other hand, the reaction time of 3 min resulted in linearly
correlated current signal as a function of creatinine concentration,
indicative of a simultaneous occurrence of enzymatic conversion and
electroactive metal complex formation. Hence, a reaction time of 3
min has been used for subsequent electrochemical measurements.
Figure 7
Effect of (a)
reaction time and (b) concentration of enzyme on
the detection of 1-methylhydantoin directly from creatinine using
0.6 mg of cobalt chloride and 0.06 units of creatinine deiminase in
the presence of 3 g/dL albumin.
Effect of (a)
reaction time and (b) concentration of enzyme on
the detection of 1-methylhydantoin directly from creatinine using
0.6 mg of cobalt chloride and 0.06 units of creatinine deiminase in
the presence of 3 g/dL albumin.
Variation of Concentration of Enzyme
As indicated in Figure b, on the introduction
of 0.12 units of creatinine deiminase, the current levels decreased
as creatinine concentration increased from 0.2 to 0.8 mg/dL, thereby
indicating a nonlinear correlation. With 0.06 units of the enzyme,
a linear correlation reduction current signal was observed over the
targeted range of creatinine concentration, i.e., 0.2–4 mg/dL.
In addition, the intensity of the current signals increased with 0.06
units of the enzyme. This appears counterintuitive as a higher enzyme
concentration should translate into a higher conversion of creatinine
into 1-methylhydantoin, which would bind with cobalt and indicate
a current signal. However, an increased quantity of enzyme (0.12 units)
would also facilitate diffusive resistance and thereby negatively
hinder mass transport. Further, a linear correlation between the quantity
of enzyme and its action can be expected provided all of the enzyme
sites are active and regenerated instantaneously, which is not necessarily
guaranteed in this setup.Hence, a higher concentration of enzyme
increases the resistance and alters the reaction dynamics and hence
it has to be closely optimized for each case. Here, a linearly correlated
current signal was obtained with 0.06 units and has been employed
hereafter. A lower quantity of enzyme also lowers the cost of the
proposed assay.
Electrochemical Quantification of Creatinine
in the Presence
of Serum Proteins
Electrochemical measurements were then
performed in the presence of serum proteins to evaluate the possible
interference. A linearly increasing reduction current signal was still
obtained as a function of increasing concentration of creatinine in
the presence of 3–5 g/dL albumin (Figure ). Triplicated measurements were performed,
and the average current values with the corresponding coefficient
of variation are tabulated in Table . It was observed that the average coefficient of variation
over the entire range of creatinine in the presence of physiological
levels of serum protein was within 10%. This signifies the robustness
of the proposed assay.
Figure 8
Variation in reduction current of 0.6 mg of cobalt chloride
with
0.06 units of creatinine deiminase with increasing concentrations
of creatinine in the presence of 3–5 g/dL albumin.
Table 1
Repeatability of Measurements for
Creatinine Detectiona
concentration
of albumin (g/dL)
3
4
5
creatinine (mg/dL)
average
current
(μA)
coefficient
of variation (%)
average current
(μA)
coefficient
of variation (%)
average current
(μA)
coefficient
of variation (%)
0.2
384.7
1.60
448.0
2.71
431.0
1.31
0.8
401.1
2.80
448.0
0.19
453.5
1.09
1.6
452.6
3.0
470.1
0.02
457.5
1.39
2.4
461.1
4.59
494.8
1.56
449.0
7.87
3.2
482.3
6.57
500.8
0.52
486.5
3.05
4
513.2
6.93
528.8
2.85
505.0
1.96
Triplicated measurements
were performed
for electrochemical estimation of creatinine from 0.2 to 4 mg/dL in
the presence of different concentrations of albumin, 3–5 g/dL.
The average current intensity along with the coefficient of variation
is indicated for each concentration.
Variation in reduction current of 0.6 mg of cobalt chloride
with
0.06 units of creatinine deiminase with increasing concentrations
of creatinine in the presence of 3–5 g/dL albumin.Triplicated measurements
were performed
for electrochemical estimation of creatinine from 0.2 to 4 mg/dL in
the presence of different concentrations of albumin, 3–5 g/dL.
The average current intensity along with the coefficient of variation
is indicated for each concentration.The effect of albumin is only evident in the lower
concentration
range of albumin and creatinine. However, it exhibits no significant
variation with varying albumin at higher concentrations. Although
different patients have different albumin concentrations, it generally
lies between 3.5 and 5 g/dL, and the minor variation due to varying
albumin is compensated by the larger variation due to varying creatinine
concentrations of the patient sample. Hence, it may not affect the
clinical measurements of creatinine significantly.
Conclusions
An electrochemical technique to estimate the concentration of 1-methylhydantoin,
using cobalt chloride as the chemical receptor, has been explored
with screen-printed carbon electrodes. The optical absorption spectroscopy
results validate the complex formation between 1-methylhydantoin and
cobalt. The technique is indifferent to physiological concentrations
of serum proteins, highlighting its sensitivity. It has then been
utilized to quantify the concentration of creatinine in serum over
the range of 0.2–4 mg/dL via enzymatic conversion by creatinine
deiminase. The present work provides a reliable enzymatic approach
to quantify creatinine in the serum by focusing on the quantification
of 1-methylhydantoin produced, which signifies its novelty. We can
reliably measure creatinine in 300 μL of serum without any preprocessing
within a time span of 3 min.
Materials and Methods
All of the
chemicals such as creatinine, 1-methylhydantoin, humanserum albumin, sodium chloride, cobalt chloride, creatinine deiminase
(1 mg contains 21 active units of the enzyme) was procured from Sigma-Aldrich.
All of the solutions were prepared in deionized water. Cobalt chloride
was prepared in 0.085 M sodium chloride solution. The analyte, i.e.,
creatinine and 1-methylhydantoin along with albumin and creatinine
deiminase, was prepared in physiological levels of saline, i.e., 0.154
M sodium chloride.The experimental setup involves a potentiostat
connected to disposable
screen-printed electrodes that were procured from Pine Research Instrumentation.
These electrodes include carbon as the working and counter electrodes
and silver chloride as the pseudoreference electrode and have an electrode
area of 20 mm2. The electrochemical measurements were performed
on a CHI 660E electrochemical workstation. The total volume dispensed
on the electrode was maintained at 300 μL. The sensing chemistry
was mixed with the analyte in the solution for all of the electrochemical
measurements. Optical measurements were performed on a Shimadzu MPC3600
spectrophotometer. The optical analysis of liquid samples was performed
in quartz cuvettes with a sample volume of 3 mL.
Authors: Ajay K Singh; Youssef M K Farag; Bharati V Mittal; Kuyilan Karai Subramanian; Sai Ram Keithi Reddy; Vidya N Acharya; Alan F Almeida; Anil Channakeshavamurthy; H Sudarshan Ballal; Gaccione P; Rajan Issacs; Sanjiv Jasuja; Ashok L Kirpalani; Vijay Kher; Gopesh K Modi; Georgy Nainan; Jai Prakash; Devinder Singh Rana; Rajanna Sreedhara; Dilip Kumar Sinha; Shah Bharat V; Sham Sunder; Raj K Sharma; Sridevi Seetharam; Tatapudi Ravi Raju; Mohan M Rajapurkar Journal: BMC Nephrol Date: 2013-05-28 Impact factor: 2.388
Authors: Katherine R Tuttle; George L Bakris; Rudolf W Bilous; Jane L Chiang; Ian H de Boer; Jordi Goldstein-Fuchs; Irl B Hirsch; Kamyar Kalantar-Zadeh; Andrew S Narva; Sankar D Navaneethan; Joshua J Neumiller; Uptal D Patel; Robert E Ratner; Adam T Whaley-Connell; Mark E Molitch Journal: Diabetes Care Date: 2014-10 Impact factor: 19.112