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Clinical Biochemistry 45 (2012) 139–143
Contents lists available at SciVerse ScienceDirect
Clinical Biochemistry
journal homepage: www.elsevier.com/locate/clinbiochem
Development of quantitative enzymatic method and its validation for the assay of
glucose in human serum
Padmarajaiah Nagaraja a,⁎, Honnur Krishna a, Anantharaman Shivakumar b, Ashwinee K. Shrestha a
a
b
Department of Studies in Chemistry, University of Mysore, Manasagangotri, Mysore 570 006, Karnataka, India
Regional Institute of Education, Department of Education Science and Mathematics (DESM), Manasagangotri, Mysore 570 006, Karnataka, India
a r t i c l e
i n f o
Article history:
Received 2 January 2011
Received in revised form 13 November 2011
Accepted 19 November 2011
Available online 2 December 2011
Keywords:
Hydrogen peroxide
Glucose
Serum glucose
Horseradish peroxidase
Glucose oxidase
a b s t r a c t
Objective: To develop a simple, rapid, sensitive and affordable assay method for the determination of glucose
in blood samples using a novel approach.
Design and methods: A spectrophotometric method for glucose quantification in human serum samples
based on self-coupling of activated 2,5-dimethoxyaniline (DMA) in the presence of peroxidase (POD)/glucose oxidase (GOD) and H2O2 is described. H2O2 generated in situ by catalytic reaction between GOD and glucose, activates
DMA in the presence of POD to form a green-colored product, which has a strong absorption at λmax =740 nm at
room temperature (30 °C) in a 100 mmol/L acetate/acetic acid buffer of pH 4.2.
Results: The linearity ranges for the quantification of glucose by rate and one-time detection method are
0.017–0.740 and 0.017–0.478 mmol/L, respectively. Within-day and day-to-day precision were 0.98–1.4%
(n=10) and 1.33–2.89% (n=15), respectively. Glucose recoveries ranged from 96.6 to 102%, indicating minimal
interference by commonly present interferants in serum samples. Accuracy results were between 90 and 102%.
The detection and quantification limits of glucose were 2.376 and 7.923 μmol/L, respectively. The proposed method has good correlation coefficient of 0.999 with the enzymatic kit method.
Conclusions: This is a rapid and convenient method to determine serum glucose using simple spectrophotometer with excellent recovery and minimal interference by interferants in serum samples with low detection
limit. Therefore, this method can be considered for adoption by the clinical diagnostic laboratories.
© 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Introduction
Glucose is one of the clinically important biomarker as it plays an important role in maintaining normal physiological activities of living systems [1]. Any variation in its concentration in the body results in
various metabolic disorders and diabetes is one such worldwide public
health problem [2,3]. The complications involved in diabetes include
higher risk of heart disease, kidney failure and blindness. Hence, rapid, selective and precise measurement of glucose level in serum is necessary in
clinical diagnosis especially in monitoring blood glucose level [4,5]. Enzymatic determination of blood glucose level is one of the most common
tests used in clinical practice because of its high specificity, reliability
and simplicity compared to the other chemical methods [6].
Several instrumental methods have been reported for the determination of glucose in serum samples [7–17]. Many co-substrates
are being used in the enzymatic determination of glucose [18–24].
Each method claims some unique advantages, including utilization
of less than 20 μL serum sample whereas disadvantages include long
incubation period (more than 10 min) coupled with multiple steps
involved in the procedure. Most of the methods were not subjected
to interference studies as maltose, mannose, galactose and fructose
are some of the common interfering compounds with glucose–glucose oxidase (GOD) system. Some of the methods [7–16] require
skilled operators to handle instruments, which are relatively of high
cost and involve multiple steps for preparation of sensors and also
need immobilization of enzymes. Our aim was to develop such a
method which would be simpler, rapid, selective, sensitive and highly
precise at the same time avoiding complicated analytical steps, increased incubation period, and need for sophisticated instruments.
Experimental procedures
Abbreviations: HRP, horseradish peroxidase; GOD, glucose oxidase; DMA, 2,5dimethoxyaniline; EDTA, ethylenediaminetetraacetic acid; A740, absorbance of the colored solution at λmax 740 nm; V0, initial rate of a reaction; EU, enzyme unit; Keff, catalytic efficiency; Kpow, catalytic power.
⁎ Corresponding author at: DOS in Chemistry, University of Mysore, Manasagangotri,
Mysore-570 006, Karnataka, India. Fax: + 91 821 2421263.
E-mail address: profpn58@yahoo.com (P. Nagaraja).
Apparatus
A Jasco model UVIDEC-610 UV–visible spectrophotometer (Tokyo,
Japan) with 1.0-cm matched cells was used in all absorbance measurements. A water bath shaker (NSW 133, New Delhi, India) was used to
maintain constant temperature for color development. All pH
0009-9120/$ – see front matter © 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
doi:10.1016/j.clinbiochem.2011.11.007
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140
P. Nagaraja et al. / Clinical Biochemistry 45 (2012) 139–143
measurements and adjustments were done by a digital pH meter (model
EQ-614, Equip-tronics, Mumbai, India).
Chemical reagents and their preparation
H2O2 stock solution (1.0%, v/v) was prepared by diluting the commercial reagent (30%, v/v, E. Merck, Mumbai, India), and its concentration was standardized by titration with KMnO4 (99%, LR, Thomas
Baker chemicals, Mumbai, India). DMA (98%) was purchased from
Cica-Reagent (Kanto Chemical CO., INC) Tokyo, Japan and its
58.75 mmol/L solution was prepared in 0.0745 N dil. HCl. Peroxidase
(100 U/mg) was purchased from Himedia (Mumbai, India). A stock
solution of peroxidase with concentration of 4.5454 × 10 − 6 mol/L
was prepared in 0.1 mol/L KH2PO4 (99.5–100.5%, AR, Rankem, New
Delhi, India) and NaOH (97%, LR, Rankem, New Delhi, India) buffer
(pH 6.0). Highly purified glucose oxidase (GOD) with 150 U/mg activity produced by Aspergillus niger was purchased from Sigma–Aldrich and its stock solution with 120 U/mg activity was prepared
using distilled water. Glucose (99.35%) was obtained from E.
Merck, Mumbai, India and a stock solution (55.50 mmol/L) was prepared by dissolving the required quantity in water. This solution was
further diluted and working solutions containing 5.55, 11.10, 16.65,
22.20 and 27.75 mmol/L of glucose were prepared for quantification
of glucose in human serum samples. Serum sample used in all cases
was 30 μL. Double distilled water was used throughout the experiment. All the reagents used were of analytical grade unless stated
otherwise.
Human serum
determination
sample
collection
and
preparation
for
glucose
Human blood samples collected from a local hospital and also from a
clinical laboratory were preserved at −20 °C for use. Blood samples
were collected in heparinized tubes and centrifuged. The accuracy of the
proposed method was assessed by comparing the results obtained with
a commercial glucose assay kit [25] (P. Trinder's kit method; Glucose
Test kit, Diagnostic reagent, Span Diagnostic Ltd. Sachin).
Necessary permission was obtained from Institutional Human
Ethical Committee (IHEC-UOM no. 22/Ph.D/2008–09) of University
of Mysore for the use of human blood samples in the experiment.
The patients were well informed and their consents were obtained
before collecting the blood samples.
General assay procedure
Quantification of hydrogen peroxide, horseradish peroxidase and glucose
oxidase
H2O2 in the range of 2–1152 μmol/L containing 1958 μmol/L DMA
and 4.73 nmol/L peroxidase in 100 mmol/L of acetic acid/sodium acetate buffer of pH 4.2 in 3 mL reaction mixture was used for quantification by kinetic method [26]. The slope obtained from the regression
equation was used to plot the graph against the concentration of
H2O2 to get a standard curve.
To a reaction mixture containing 1958 μmol/L DMA and
72 μmol/L H2O2, in 100 mmol/L acetic acid/sodium acetate buffer
of pH 4.2, peroxidase enzyme (100 μL) having different concentrations was added. The changes in the absorbance were continuously
recorded in the experimental as also in the corresponding control
containing all the reagents except peroxidase. The linearity for
fixed-time method was also evaluated by incubating the reaction
mixture for 5 min at 30 °C and measuring absorbance of the colored
solution.
Similarly, GOD was determined in the range of 3–30 units/mg in
a reaction mixture containing 1958 μmol/L DMA, 460 μmol/L glucose, 18.92 nmol/L POD in 100 mmol/L acetic acid/sodium acetate
buffer of pH 4.2 by the kinetic method. The linearity was observed
Fig. 1. Calibration graph for the quantification of H2O2. Means of triplicates with error
bars indicating standard deviation. The inset shows absorption spectrum of reaction
product of colored solution at different concentrations (75, 100, and 125 μM) of H2O2
and the corresponding reagent blank. Spectrum was recorded after incubating reaction
mixture for 5 min at 30 °C. Also Sy value has been shown.
x
between 3 and 21 units/mg in which 12 units/mg of GOD was
fixed for glucose assay.
Quantification of glucose
The glucose assay was carried out by adding a reaction mixture containing 1958 μmol/L DMA, 18.92 nmol/L peroxidase, 12 units/mg GOD
in 100 mmol/L acetic acid/sodium acetate buffer of pH 4.2 to varying concentrations (17–740 μmol/L) of glucose solution in 3 mL mixture. The reaction mixture was incubated for 5 min at room temperature (30 °C) and
changes in the absorbance of the colored solution were recorded along
with the control, which contained all reagents except glucose. Rate method was also carried out for the quantification of glucose.
Results
Analytical performance and characteristics of the enzymatic assay for serum
glucose
The calibration curve for H2O2 assay was 2–288 μmol/L and the relevant data are presented in Fig. 1. The co-efficient of variation (CV) was
1.68 (n = 6) for 72 μM H2O2. The linear ranges for the quantification of
HRP were 0.59–9.46 nmol/L and 0.443–9.46 nmol/L by the kinetic and
fixed time methods, respectively, and the results are shown in supplemental material.
Using the above HRP assay and coupling with GOD-catalyzed reaction,
the standard curve for glucose was found linear in the range of
17.0–740 μmol/L and 17.0–478 μmol/L by rate method and fixed time
method, respectively as shown in Fig. 2. The apparent molar absorptivity
Fig. 2. Calibration graph for the quantification of glucose by the rate (+) and fixed time
(■) method. Means of triplicate determinations with error bars indicating standard deviation. Also Sy value has been shown for the rate method.
x
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P. Nagaraja et al. / Clinical Biochemistry 45 (2012) 139–143
Table 1
Within day and day-to-day precision and % of accuracy range.
Within day precision*
Accuracy range %
Day-to-day precision*
Glucose (mmol/L)
SD
CV
n
–
Glucose (mmol/L)
SD
CV
n
–
Accuracy range %
Low conc. (0.069)
Medium conc. (0.138)
High conc. (0.390)
0.001166
0.002029
0.007557
1.0
0.98
1.4
10
10
10
90.00–93.97
94.48–97.99
96.86–101.57
Low conc. (0.069)
Medium conc. (0.138)
High conc. (0.390)
0.001537
0.005874
0.009545
1.33
2.89
1.79
15
15
15
90.00–93.86
89.00–99.16
95.16–100.38
Note. n = number of runs, SD = standard deviation, CV = co-efficient of variation, * duplicate measurement.
for glucose was 0.13×104 L/mol/cm and the determination of 138 μmol/L
glucose has a CV of 1.07 (n=6). The limits of detection (LOD) and quantification (LOQ) for glucose were 2.376 μmol/L and 7.923 μmol/L,
respectively.
for glucose having concentrations of 0.069 and 0.138 mmol/L were
90–94% and 89–99%, respectively and for 0.390 mmol/L of glucose the accuracy was 95–102%. Results are presented in Table 1.
Method comparison plots
Absorption spectrum for H2O2
The absorption spectrum of the colored solution obtained at 75,
100 and 125 μmol/L concentrations of H 2 O2 was measured in the
wavelength range of 400–800 nm. Then the spectrum was
recorded on a spectrophotometer at a scan rate of 2 nm/s after incubating the reaction mixture for 5 min at 30 °C against the corresponding reagent blank. The results are tabulated in Fig. 1 as
shown in the inset.
Precision and accuracy
Precision and accuracy of the method were determined by analyzing
solutions containing known amounts of glucose within Beer's law range.
The results showed that within-day precision was 0.98–1.4% (n=10)
and day-to-day precision was 1.33–2.89% (n=15). The accuracy ranges
The proposed enzymatic method was evaluated by analyzing 6
different serum samples for glucose and comparing the results
with those obtained with commercial glucose assay kit [25]. Results
are shown in Fig. 3. The Bland–Altman plot (Fig. 4) shows the relative difference between the two methods with the mean relative
bias.
Analytical recovery
Recovery tests were performed with 6 different serum samples
each spiked with known concentrations of glucose based on standard curve of glucose assay. The glucose levels recovered were
compared with the results obtained by commercial glucose assay
kit [25] method and the results are shown in Table 2. The glucose
recovery range by the proposed method was 96.6–102.0% with a
mean recovery of 99.67%.
Interference study
Interference by any common blood constituent in the quantification
of glucose was studied at two glucose concentrations (0.138 mmol/L
and 0.424 mmol/L). The concentrations of interferants as well as their
tolerance ratios are summarized in Table 3.
Evaluation of kinetic parameters for the enzymatic reactions
Fig. 3. Comparison of the results of proposed DMA method with the enzymatic kit
method for glucose in serum samples.
A Lineweaver–Burk plot was used for the evaluation of Michaelis–Menten constant of glucose concentration between 17.0 and
G
was
867.0 μmol/L (figure not shown). The values obtained for Km
G
G
1192 μmol/L and for Vmax was 0.2393 EU/min, where, Km is the
G
is the maximum
Michaelis–Menten constant of glucose and Vmax
rate of reaction at the concentration of glucose oxidase used. The
catalytic efficiency and catalytic power of the proposed method
are: Keff = 0.2354 × 10 6 L/mol/min and Kpow = 1.1135 × 10 − 3/min.
Table 2
Determination of glucose in human serum samples.
Serum
samples
1
2
3
4
5
6
Fig. 4. Bland–Altman plot showing the relative difference between the proposed and
the reference kit methods, with the mean relative bias.
a
b
Glucose (mmol/L)
Proposed
method
Enzymatic
kit methodb
2.77
7.49
10.21
13.60
16.10
19.76
2.830
7.659
10.102
13.654
15.930
19.982
Added
(mmol/L)
Found a by
proposed
method
(mmol/L)
Recovery
(%)
CV
5.55
6.66
3.33
5.55
4.44
2.775
8.325
14.04
13.43
19.26
20.59
22.53
100.00
98.30
96.60
102.00
101.12
100.00
1.21
1.08
1.8
1.3
1.5
1.6
Mean of four replicate measurements; CV: co-efficient of variation.
The samples were also analyzed in the laboratory by the enzymatic kit method [25].
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P. Nagaraja et al. / Clinical Biochemistry 45 (2012) 139–143
Table 3
Potentially interfering substances along with their concentrations tested for the measurement of 0.138 mmol/L and 0.424 mmol/L of glucose.
Interferants
Concentrations of
interferants
A**
Bilirubin
Ascorbic acid
Nitrite
Iron (II)
Iron (III), L-tyrosine
−
L-cystine, F , molybdenum (VI),
copper (II), maltose
L-cysteine, L-leucine, L-tryptophan,
potassium (I), chloride
Calcium (II), lactose, magnesium
2.523 μmol/L
3.781 μmol/L
11.99 μmol/L
14.89 μmol/L
0.0317 mmol/L
0.276 mmol/L
0.0183
0.0274
0.0869
0.1079
0.230
2.00
0.552 mmol/L
4.00
1.242 mmol/L
9.00
Citric acid, uric acid,
L-histidine, EDTA
DL-methionine, isoleucine
Nitrate, fructose
D-asparagine, oxalic acid,
DL-threonine, mannose
Sodium, creatinine, sulfate,
carbonate, sucrose, D-galactose
Ammonium, L-serine, glycine, urea
Acetone
2.070 mmol/L
15.00
3.864 mmol/L
4.968 mmol/L
6.90 mmol/L
28.00
36.00
50.00
16.56 mmol/L
120.00
Interferants
Concentrations of
interferants
Bilirubin
Nitrite
Ascorbic acid
Iron (II)
Iron (III), L-tyrosine
−
L-cystine, F , copper (II), maltose,
L-cysteine, L-tryptophan, potassium (I)
Molybdenum (VI), L-leucine
5.69 μmol/L
11.01 μmol/L
0.0378 mmol/L
29.8 μmol/L
0.3219 mmol/L
0.742 mmol/L
0.0134
0.0259
0.0891
0.0702
0.759
1.75
1.696 mmol/L
4.00
Lactose, magnesium, L-histidine, isoleucine,
chloride, EDTA, DL-methionine
Citric acid, uric acid, D-asparagine,
calcium (II), DL-threonine
Mannose, fructose
Nitrate, sucrose
Oxalic acid
3.816 mmol/L
9.00
5.08 mmol/L
12.00
8.48 mmol/L
14.84 mmol/L
16.96 mmol/L
20.00
35.00
40.00
33.92 mmol/L
80.00
63.6 mmol/L
3816 mmol/L
150.00
9000.00
Sodium, creatinine, sulfate, carbonate,
ammonium, glycine, urea
L-serine
Acetone
B**
D-galactose,
34.50 mmol/L
1352 mmol/L
250.00
9800.00
A**; Tolerance ratios for the measurement of 0.138 mmol/L glucose and B**; Tolerance ratios for the measurement of 0.424 mmol/L glucose.
Note: Tolerance ratio corresponds to the ratio of limit of interferants concentration to that of concentration of glucose used (0.138 mmol/L and 0.424 mmol/L).
Discussion
Absorbance values of color formed increased up to 28 °C which
remained constant till 30 °C and decreased thereafter (Table 4(B)).
Hence 30 °C was selected as optimum for all further assays.
The linearity range of the proposed glucose assay was consistent
from day-to-day, owing to the excellent stability of reagents. The
within day and day-to-day precisions of the method gave a very
low standard deviation (SD) and CV indicating high precision and reproducibility of the method. The accuracy value was also high. The
low values of LOD (0.0023 mmol/L) and LOQ (0.0079 mmol/L) for
glucose indicate high sensitivity of the method and these values are
very much lower than those reported by others [9,13,15].
A correlation coefficient of 0.999 obtained between the proposed
method and kit method implies that the proposed method is on par
with the reference kit method. But the main advantage of the proposed
method is that it takes only 5 min compared to 10 min needed for kit
method to complete the incubation. Also a recovery % of 99.67 by the proposed method implies that it is least affected by common interferants present in blood as constituents.
G
= 1.192 mmol/L may be due to strong affinity
The low value of Km
of active site of GOD in presence of DMA to that of glucose molecules
and this signifies the extent of selectivity and specificity of the
All experimental conditions were optimized by kinetic method to
predict the influence of substrate concentration on the color development of the reaction product. Applicability of the developed method
for glucose determination was done by fixed time method, which
also offers scope in automated assays and high-throughput analysis when 96-well microplates and a microplate reader were used
[26–28].
The influence of pH on the glucose assay was studied by using
buffers such as acetic acid/sodium acetate (pH 3.6–5.6), citric acid/potassium citrate (pH 3.6–5.6), KH2PO4/NaOH (pH 6.0–8.0), and
KH2PO4/K2HPO4 (pH 6.0–7.5). The sensitivity of the assay was found
maximum at pH 4.2 in a 100 mmol/L acetic acid/sodium acetate buffer solution (Table 4(A)).
The reaction rate increased with the increase in concentration of
DMA from 326 to 1958 μmol/L, beyond this considerable increase in
enzyme activity was not observed (Table 4(C)). Hence 1958 μmol/L
DMA was chosen as the optimized concentration of co-substrate.
The temperature effect on the enzyme assay was studied between
15 and 35 °C.
Table 4
Effect of pH, temperature and co-substrate on the enzyme assay.
A
pH
Rate [V0 (EU min− 1)]
3.7
0.0342
4.0
0.0514
4.2
0.0568
4.5
0.0465
5.0
0.0142
5.5
0.0045
B
Temp. (°C)
Absorbancea
15
0.4342
18
0.4401
20
0.4449
22
0.4510
24
0.4572
26
0.4609
28
0.4622
30
0.4622
32
0.4596
35
0.4535
C
Co-substrate conc. (μmol/L)
Rate [V0 (EU min− 1)]
326
0.0138
652
0.0313
1304
0.0624
1958
0.0826
2608
0.0893
3260
0.0899
3912
0.0906
Note:
1.(A) explains pH effect on reaction condition for acetic acid/sodium acetate buffer at different pH.2.(B) explains temperature effect in the range 15–35 °C on the maximum color
development of reaction product with the measured absorbance.3.(C) explains the effect of co-substrate, 2,5-dimethoxyaniline on the enzyme assay (Quantification of H2O2 procedure used, and concentration of H2O2 used = 120 μmol/L).aAverage of 2 replicate measurements. (Quantification of glucose procedure used, and concentration of glucose
used = 277.0 μmol/L.)
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P. Nagaraja et al. / Clinical Biochemistry 45 (2012) 139–143
proposed reaction [29]. The Michaelis–Menten constant value
obtained is lesser compared to other methods [30,31] thereby indicating better selectivity of the proposed method.
The effects of interference by other common blood constituents in
the quantification of glucose are expressed in terms of tolerance ratio.
Tolerance ratio is defined as the concentration of foreign species
needed to cause ±2% absorbance error in the determination. Results
revealed that most of the common ions present in serum samples
show minor effects on the determination of glucose and the proposed
method is highly selective and specific for glucose measurement.
Some of the non-spectrophotometric methods [7–16] claim unique
advantages, such as high sensitivity and precision but the associated
disadvantages are high cost and need of skilled operators [32], multiple steps, [10] extensive sample pretreatment and derivatization before injection [33,34] of the samples. Spectrophotometric methods
are economical, not complicated and easy to operate. Some commonly
used co-substrates [6,19–21] in the enzymatic determination of glucose have such advantages as less (b20 μL) requirement of serum
sample, [16,22] rapidity, and [18] high sensitivity but the only disadvantage is that the methods [6,15,17–19,21] require more than
10 min of incubation period. Some of the methods have dangerous development of carcinogenicity and mutagenicity from o-dianisidine
[20], and solubility of 3,3′,5,5′-tetramethyl benzidine [13], leuco patent
blue violet [18], 10,11-dihydro-5H-benz(b,f)azepine [19] and N,Ndimethylaniline [21] in water. Moreover, most of the enzymatic methods
have not conducted interference studies on commonly interfering compounds such as maltose, mannose, fructose and galactose, which interfere
with glucose–GOD system.
The chemical methods [23,24] although rapid, suffer from serious interference by lactose, galactose, and glutathione. Recently, electrochemical non-enzymatic glucose sensors [35] have received attention because
of their stability and simplicity as compared to enzyme-based sensors,
but they also suffer from low sensitivity and selectivity [13].
In conclusion, the proposed method can quantify serum glucose at
micromolar levels. Reagents required for the assay are of very small
quantity, thereby making the assay affordable. The method is unique
in terms of simplicity, less run-time for the assay and high throughput
for the analysis. The superiority of the method is in its higher apparent
molar absorptivity, lower detection limit and CV. The intensely green
colored chromogenic product obtained by coupling DMA is stable with
high molar extinction co-efficient, and needs less time and provides accurate and reproducible results. Moreover, absorption at longer wavelength
enables it to avoid the background interference caused by biological constituents [19]. The need for 30 μL serum sample as compared to 20 μL
used by some other methods is the one drawback of the method.
Acknowledgments
One of the authors, Honnur Krishna would like to thank University
of Mysore, Mysore, Karnataka, India (SC/ST special cell) for financial
support for the research work and for providing the research laboratory facilities. Also the K.R. Hospital, Mysore, Karnataka, India is acknowledged for providing the blood samples.
Appendix A. Supplementary data
Supplementary data to this article can be found online at doi:10.
1016/j.clinbiochem.2011.11.007.
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