Journal of Analytical Methods in Chemistry

Journal of Analytical Methods in Chemistry / 2013 / Article

Research Article | Open Access

Volume 2013 |Article ID 854041 |

Jiajia Wang, Xijuan Tan, Zhenghua Song, "Comparison of Uric Acid Quantity with Different Food in Human Urine by Flow Injection Chemiluminescence Analysis", Journal of Analytical Methods in Chemistry, vol. 2013, Article ID 854041, 7 pages, 2013.

Comparison of Uric Acid Quantity with Different Food in Human Urine by Flow Injection Chemiluminescence Analysis

Academic Editor: Chih-Ching Huang
Received27 Jul 2013
Accepted05 Sep 2013
Published22 Oct 2013


Based on the inhibitory effect of uric acid (UA) on luminol-Co2+ chemiluminescence (CL) system, a sensitive method for the determination of UA at nanomolar level by flow injection (FI) CL was proposed. The proposed method was successfully applied to real-time monitoring of UA excretion in human 24 h urine with different food intake, showing that meats, vegetables, and porridge intake caused differential UA excretions of 879, 798, and 742 mg, respectively. It was also found that UA concentrations in urine under the three kinds of food intake simultaneously reached maximum at 2 h after meals with the values of 417, 318, and 288  g mL−1, respectively. The UA concentration in human serum was also determined by this approach, and the possible mechanism of luminol-Co2+-UA CL reaction was discussed in detail.

1. Introduction

Uric acid (2,6,8-trihydroxypurine, UA, Figure 1), the principal breakdown product of human purine metabolism, is mainly excreted by the kidney [1]. Normally, most of UA produced from the catabolism is reabsorbed into the blood circulation system and then passes through the kidney into urine. When UA in human urine or serum exceeds the normal physiological range, it may cause gout [2], kidney injury [3], metabolic syndrome [4], cardiovascular disease [5], and type II diabetes [6]. Consequently, monitoring the concentration of UA in bodily fluids is essential in diagnosis and treatment of the corresponding diseases. Many methods have been reported for the determination of UA, such as capillary electrophoresis (CE) [7], enzymatic assay (EA) [8], high-performance liquid chromatography (HPLC) [9, 10], differential pulse voltammetric (DPV) [11, 12], and UV-Vis spectroscopy [13, 14]. Chemiluminescence (CL) has also been developed for UA determination [1517].

Luminol with Co2+ reaction is known as a classic CL system [18]. The CL mechanism of Co2+ remarkably enhancing luminol intensity has been well studied [19, 20], and a variety of applications with luminol-Co2+ CL system in trace analysis [21, 22] have been reported. For example, it has been applied to the determination of hydrogen peroxide [23, 24], acetaminophen [25], lanthanides [26], carbaryl [27], captopril [28], vitamin B12 [29], gibberellic acid [30], and radical scavenging potential of ascorbic acid [31]. With luminol-H2O2-Co2+ CL system, the determination of UA have been reported [32], while no real-time analysis of urine UA excretion with luminol-Co2+ CL system has been described so far.

Flow injection (FI) analysis combined with CL, FI-CL, which possess merits of low limit of detection (LOD), fast response time, less reagent consumption, and simple instrumentation as well as automation, has become a very useful analytical tool in different scientific fields from food safety [3335] to environmental chemistry [3638]. In this work, it was found that UA could obviously quench the CL intensity of luminol-Co2+ in a flow system, with the decrements in CL intensity linearly proportional to the logarithm of UA concentrations ranging from 3.0 to 500.0 nmol L−1, giving the LOD of 1.0 nmol L−1 (3σ). The relative standard deviation (RSD) was 2.5% for determining 10.0nmol L−1 UA. At a flow rate of 2.0 mL min−1, a single UA determination cycle could be accomplished within 36 s, offering a sample throughput (ST) of 100 h−1. UA excretion in urine is known to be closely associated with food intake, and the normal excretion of UA is 250–740 μg mL−1 per day [39]. Herein, quantitative monitoring of urine UA excretion with different food intake by FI-CL was proposed for the first time.

2. Experimental

2.1. Reagents

All chemical reagents in this work were of analytical reagent grade. Doubly deionized water purified in a Milli-Q system (Millipore, Bedford, MA, USA) with the resistivity of 18.2 MΩ cm was used for the preparation of solutions in the whole procedure. Luminol (Fluka, Biochemika, Switzerland) and UA (Sigma) were obtained from Xi’an Medicine Purchasing and Supply Station, China.

The luminol stock standard solution of  mol L−1 was prepared in  mol L−1 NaOH solution and kept in the dark. The Co2+ stock standard solution of  mol L−1 was prepared by dissolving 11.90 mg of CoCl2·6H2O (99%) in 50 mL calibrated flask with doubly deionized water. The UA stock standard solution of  mol L−1 was prepared in  mol L−1 NaOH solution and stored at 4°C. All the daily used working standard solutions were freshly prepared from the above stock standard solutions by appropriate dilution as required.

2.2. Apparatus

The schematic profile of equipment in the flow system (Xi’an Remax Analysis Instrument Co. Ltd., Xi’an, China) was depicted in Figure 2. The apparatus contained a sampling system (IFFM-E), a CL detector (IFFS-A), and a recorder (a computer with IFFM-E client system). The sampling system used a peristaltic pump with four channels to pump the reagents and a six-way valve with a loop of 100 μL to quantitatively inject luminol. The CL detector, which was placed inside a black box for precluding the interference from ambient light, contained a flow cell and a photomultiplier tube (PMT). The flow cell, tightly positioned on the window of PMT, was a colorless glass tube (15 cm in length, 1.0 mm i.d.) with a spiral disk shape (2.0 cm i.d.). The CL signal from the flow cell was directly detected by the PMT without any wavelength discrimination and the output was recorded by the computer. The polytetrafluoroethylene (PTFE) tubing (1.0 mm i.d.) was used to deliver the reagents.

2.3. General Procedures

As shown in Figure 2, flow lines were inserted into luminol, carrier (doubly deionized water), UA, and Co2+ solutions, respectively. The pump was started with the stream of doubly deionized water at a constant flow rate of 2.0 mL min−1 to wash the whole system. Then 100 μL of luminol solution was injected into the flow system by the six-way valve and, thereafter, merged with the premixed, homogeneous stream of UA and Co2+. The entire mixed solution was then delivered into the CL cell, producing CL emission. The CL signal was detected by PMT, and the PMT negative voltage was set as 700 V. The CL intensity decrement ( ), where and were defined as CL intensity in the absence and presence of UA, respectively, was used as the quantitative parameter for UA concentration.

2.4. Sample Preparation

The urine samples, which came from volunteers who have prehydrated, were collected in beakers with volumes recorded. The UA concentrations in urine samples were measured directly after an appropriate dilution. When necessary, urine samples were refrigerated at 4°C and were determined as soon as possible to guarantee the sample integrity.

The human serum samples were obtained from the Hospital of Northwest University. After centrifugation, 0.1 mL supernatant was diluted with doubly deionized water and mixed thoroughly for CL determination after dilution.

3. Results and Discussion

3.1. Optimum Experimental Conditions for the Determination of UA

Two manifolds of quantitatively injecting luminol or UA sample into the carrier stream by six-way valve were investigated. It was found that two significantly different results were obtained. Using the manifold of quantitatively injecting luminol by six-way valve, a whole analytical process including sampling and washing could be accomplished within 36 s, offering a ST of 100 h−1 accordingly. Whereas by using the manifold of injecting UA, the same analytical process needed 120 s, yielding the ST of 30 h−1. It was clear that the ST of the manifold of injecting luminol shown in Figure 2 is about 3-fold to that of injecting UA. Therefore, the manifold depicted in Figure 2 was chosen in subsequent work.

The effect of luminol concentration ( ~  mol L−1) and Co2+ concentration ( ~  mol L−1) on the CL intensity was investigated, respectively. As shown in Figure 3(a), it can be seen that the CL signal increased steadily with increasing concentration of luminol up to  mol L−1, above which the CL signal tended to be stable. Thus,  mol L−1 luminol was chosen as the optimal. It is also clear in Figure 3(b) that the CL intensity rose drastically when the Co2+ concentration increased to  mol L−1 and then increased slowly from a higher concentration. Therefore,  mol L−1 was chosen as the optimum concentration of Co2+. Owing to the nature of luminol CL reaction, which was favorable in alkaline medium, NaOH was added into luminol solution to increase the sensitivity of this CL system. A series of NaOH solutions ranging from to  mol L−1 was tested. At  mol L−1 NaOH, the CL signal could reach a maximum value. Hence,  mol L−1 of NaOH was the optimal concentration for this CL system.

The flow rate and mixing tube length had a great effect on the CL intensity. A lower flow rate would slow down the sampling rate and cause dilution effect. Although higher flow rate can increase signal to noise (S/N), the precision of this method decreased. Considering a good sensitivity, a better precision, and a lower reagent consumption, a flow rate of 2.0 mL min−1 was selected for this CL system. The effect of mixing tubing on CL intensity was also tested with the mixing tube lengths ranging from 5.0 to 20.0 cm. It was found that a 10.0 cm of mixing tube afforded the best results with good sensitivity and reproducibility. Accordingly, this length was chosen in the subsequent experiments.

3.2. The Relative CL Intensity-Time Profile

The relative CL intensity-time profiles of different reactions were given in Figure 4. It can be seen that the time ( ) for reaching maximum CL intensity ( ) of luminol-Co2+ reaction (curve 1) and luminol-dissolved oxygen reaction (curve 5) were 4.0 and 4.4 s with the of 939 and 59, respectively; the for luminol-Co2+ reaction in the presence of UA (curves 2–4) was 4.0 s, while the decreased from 939 to 750 (by 20.1%), 550 (by 41.4%), and 310 (by 66.9%) at 5.0, 30.0, and 300.0 nmol L−1 UA, correspondingly. These experiments were carried out by the optimized concentrations of luminol and Co2+, which were  mol L−1 and  mol L−1.

3.3. Operational Stability of the FI-CL System

100 μL of luminol solution (  mol L−1) was injected into the carrier stream and thereafter merged with the premixing stream of Co2+ (1.0 × 10−8 mol L−1) and UA (10.0 and 100.0 nmol L−1, resp.). The relative CL intensity was recorded to test the stability and reproducibility of the luminol-Co2+ system. The FI system was regularly used over 8 h per day and the experiment lasted for 5 days. The results were listed in Table 1. Each result was the average of five separate determinations, and the RSDs were less than 3.5%. It suggested that the system exerted good stability.

10.0 (nmol L−1)RSD
(100.0 nmol L−1)RSD (%)

3rd 9383.16562.74152.5

The average of five determinations.
3.4. Analytical Performance of UA Measurement

Under the optimal experimental conditions, a series of UA standard solutions was determined. It was found that the CL intensity of luminol-Co2+ system was obviously inhibited, and the decrements of CL intensity were linear with the logarithm of UA concentrations in the range of 3.0–500.0 nmol L−1, giving the calibration equation of ( ) with the LOD of 1.0 nmol L−1 (3σ). The RSDs ( ) at 5.0, 50.0, and 300.0 nmol L−1 UA were 2.9%, 2.3%, and 1.9%, respectively. At a flow rate of 2.0 mL min−1, a complete analytical process including sampling and washing could be accomplished within 36 s, offering a ST of 100 h−1.

3.5. Interference Studies

To test for the interference of foreign substances on UA quantification, a potential interfering analyte was added in increasing amounts to the UA standard solution, and the relative CL intensity was examined with a relative error controlled at 5% level. The tolerable concentration ratios of foreign substances with respect to 10 ng mL−1 UA were over for , , , oxalate, , glucose, and ethanol; 1.0 × 104 for Ba2+, Zn2+ and ; 9.0 × 103 for urea; 5.0 × 103 for Mg2+ and Ca2+; 5.0 × 102 for Ni2+ and Cr3+; 4.0 × 102 for Cu2+, Mn2+, and ascorbic acid; 1.0 × 102 for creatine and Fe3+/Fe2+; 20 for vitamin B12, respectively. Compounds abundant in human serum and urine such as lipids, proteins, and salts had no obvious interference for the determination of UA.

3.6. Possible Quenching Mechanism of UA on Luminol-Co2+ CL Reaction

From Figure 4, it was clear that the of luminol-dissolved oxygen reaction in the presence of Co2+ increased from 59 to 939 and the changed from 4.4 to 4.0 s; it also can be seen that the of luminol-Co2+ system in the presence of UA decreased obviously at increasing UA concentration with the identical of 4.0 s. The CL intensities generated by online ultrasonically degassed solutions and general solutions were compared, and results showed that the CL intensity from the degassed solutions decreased obviously with regard to the CL intensity from general solutions, suggesting the oxygen dissolved in solution with solubility of 0.26 mM [40] was involved in the CL reaction. Furthermore, it is known that Co2+ can catalyze luminol-dissolved oxygen CL reaction, with being increased which led to the CL intensity from luminol being remarkably enhanced [41]. While in the presence of UA, would react with UA and oxidize UA to allantoin [42]. Thus the quenching mechanism of UA on luminol-Co2+ CL reaction can be explained as the decreased amount of , which was consumed by UA oxidation reaction, causing the CL intensity of luminol-Co2+ system to be inhibited.

4. Applications

4.1. Real-Time Monitoring of UA Excretion in Human 24 h Urine

Three volunteers refrained from vegetables and meats intake for 1 day prior to the experiment. In the following 3 consecutive days, volunteers ingested diets at 12:30 am and 6:30 pm daily, with porridge, vegetables, and meats, respectively. On the 3rd day, the urine samples were periodically collected from volunteers and detected by the proposed CL method, with results being summarized in Table 2. It can be seen that the total UA excreted in 24 h urine from the three volunteers were 741.6, 797.7, and 878.4 mg, respectively, which indicated that the UA excretions were related to food intake with highest UA for meat intake and lowest UA for porridge intake. The details of UA metabolism in urine during 24 h were given in Figure 5, showing that the concentrations of UA simultaneously reached the maximum at 2 h after meals with the values of 288, 318, and 417 μg mL−1, corresponding to porridge, vegetables, and meats intake, respectively.

Diets /  (mg/mL)  ( g  )

1Porridge /2700
2Vegetables /2730
3Meats /2670

The average of five determinations; bthe content of UA in urine sample; cthe volume of urine; dthe concentration of UA, calculated by b/c.
4.2. Determination of UA in Human Serum Samples

The proposed method was also applied to determining UA in samples of human serum. The serum samples were collected from two volunteers, with no. 13 from volunteer 1 and no. 46 from volunteer 2. It was found that the serum UA concentrations were μg mL−1, which were in the normal range of 22–77 μg mL−1 [43]. To validate the proposed method for UA determination, recovery studies were carried out on samples to which known amounts of UA (5.0, 7.0, and 10.0 ng mL−1) were added. The results were listed in Table 3 with recoveries varied from 96.6% to 106.4% and RSDs less than 3.5%, which confirmed that this presented FI-CL method was capable of UA quantification.

(ng mL−1)

( g mL−1)

Volunteer 110/7.63.396.6

Volunteer 240/9.82.8104.3

The average of five determinations; bthe average concentration of UA ( ).

5. Conclusion

A rapid and cost-effective FI-CL method with luminol-Co2+ system for quantitative monitoring of urine UA excretion in 24 h at nanomolar level was described for the first time. In comparison with other reported methods for determining UA (Table 4), this proposed FI-CL analysis was attractive in relatively high sensitivity and wide linear range. Despite the fact that the sensitivity was a little inferior to the previous static CL for UA determination [32], the current FI-CL approach provided an amazing ST of 100 h−1, confirming the promise of this method for quantitative monitoring and real-time UA analysis.

MethodsLinear ranges
( mol L−1)
( mol L−1)

CE10~5 3.3Human urine and serum[7]
EA10~1 2.6Human serum[8]
HPLC5~1 1.5 Human serum[9]
10~5. Human serum[10]
DPV1~1 Human urine and serum[11]
3.0 × 10−1~1.0 × 102 Human urine[12]
UV-Vis1~1 Human urine[13]
10~1 3.0Human urine[14]
CL1.0 × 10−4~7 Human urine and serum[32]
FI-CL4.8~1. 2.9Human urine and serum[15]
4.0 × 10−1~2.0 ×  Human serum[16]
3.0 × 10−2~3 Human urine and serum[17]
3.0 × 10−3~5 Human urine and serumThis study

Conflicts of Interests

There is no conflict of interests for this original unpublished work which has not been submitted to anywhere.


The authors gratefully acknowledge the financial support from the National Nature Science Foundation of China (no. 21275118) and the Open Funds from the Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, China.


  1. M. S. Lipkowitz, “Regulation of uric acid rxcretion by the kidney,” Current Rheumatology Reports, vol. 14, no. 2, pp. 179–188, 2012. View at: Publisher Site | Google Scholar
  2. K. L. Rock, H. Kataoka, and J. J. Lai, “Uric acid as a danger signal in gout and its comorbidities,” Nature Reviews Rheumatology, vol. 9, pp. 13–23, 2013. View at: Google Scholar
  3. V. Lapsia, R. J. Johnson, B. Dass et al., “Elevated uric acid increases the risk for acute kidney injury,” The American Journal of Medicine, vol. 125, no. 3, pp. 302.e9–302.e17, 2012. View at: Publisher Site | Google Scholar
  4. T. Yang, C. H. Chu, C. H. Bai et al., “Uric acid level as a risk marker for metabolic syndrome: a Chinese cohort study,” Atherosclerosis, vol. 220, no. 2, pp. 525–531, 2012. View at: Publisher Site | Google Scholar
  5. S. Kivity, E. Kopel, E. Maor et al., “Association of serum uric acid and cardiovascular disease in healthy adults,” The American Journal of Cardiology, vol. 111, no. 8, pp. 1146–1151, 2013. View at: Google Scholar
  6. I. Sluijs, J. W. J. Beulens, D. L. van der A, A. M. W. Spijkerman, M. B. Schulze, and Y. T. van der Schouw, “Plasma uric acid is associated with increased risk of Type 2 diabetes independent of diet and metabolic risk factors,” The Journal of Nutrition, vol. 143, no. 1, pp. 80–85, 2013. View at: Google Scholar
  7. W. Pormsila, S. Krähenbühl, and P. C. Hauser, “Capillary electrophoresis with contactless conductivity detection for uric acid determination in biological fluids,” Analytica Chimica Acta, vol. 636, no. 2, pp. 224–228, 2009. View at: Publisher Site | Google Scholar
  8. B. Thakur and S. N. Sawant, “Polyaniline/prussian-blue-based amperometric biosensor for detection of uric acid,” ChemPlusChem, vol. 78, no. 2, pp. 166–174, 2013. View at: Google Scholar
  9. R. Kanďár, P. Drábková, and R. Hampl, “The determination of ascorbic acid and uric acid in human seminal plasma using an HPLC with UV detection,” Journal of Chromatography B, vol. 879, no. 26, pp. 2834–2839, 2011. View at: Google Scholar
  10. R. Ferin, M. L. Pavão, and J. Baptista, “Rapid, sensitive and simultaneous determination of ascorbic and uric acids in human plasma by ion-exclusion HPLC-UV,” Clinical Biochemistry, vol. 46, no. 7-8, pp. 665–669, 2013. View at: Google Scholar
  11. E. Alipour, M. R. Majidi, A. Saadatirad, and S. M. Golabi, “Determination of uric acid in biological samples on the pretreated pencil graphite electrode,” Analytical Methods, vol. 4, no. 8, pp. 2288–2295, 2012. View at: Google Scholar
  12. M. I. Khan, A. M. J. Haque, and K. Kim, “Electrochemical determination of uric acid in the presence of ascorbic acid on electrochemically reduced graphene oxide modified electrode,” Journal of Electroanalytical Chemistry, vol. 700, pp. 54–59, 2013. View at: Google Scholar
  13. A. Waseem, M. Yaqoob, A. Nabi, G. Murtaza, and I. Hussain, “Flow-injection spectrophotometric determination of uric acid in urine via Prussian blue reaction,” Chemical Research in Chinese Universities, vol. 27, no. 6, pp. 929–933, 2011. View at: Google Scholar
  14. D. L. Rocha and F. R. P. Rocha, “A flow-based procedure with solenoid micro-pumps for the spectrophotometric determination of uric acid in urine,” Microchemical Journal, vol. 94, no. 1, pp. 53–59, 2010. View at: Publisher Site | Google Scholar
  15. D. Y. He, Z. J. Zhang, Y. Huang, Y. F. Hu, H. J. Zhou, and D. L. Chen, “Chemiluminescence microflow injection analysis system on a chip for the determination of uric acid without enzyme,” Luminescence, vol. 20, no. 4-5, pp. 271–275, 2005. View at: Publisher Site | Google Scholar
  16. C. Y. Yang and Z. J. Zhang, “A novel flow-injection chemiluminescence determination of uric acid based on diperiodatoargentate(III) oxidation,” Talanta, vol. 81, no. 1-2, pp. 477–481, 2010. View at: Publisher Site | Google Scholar
  17. Z. H. Song and S. Hou, “Chemiluminescence assay for uric acid in human serum and urine using flow-injection with immobilized reagents technology,” Journal of Analytical Chemistry, vol. 372, no. 2, pp. 327–332, 2002. View at: Google Scholar
  18. J. C. Yuan and A. M. Shiller, “Determination of subnanomolar levels of hydrogen peroxide in seawater by reagent-injection chemiluminescence detection,” Analytical Chemistry, vol. 71, no. 10, pp. 1975–1980, 1999. View at: Publisher Site | Google Scholar
  19. K. E. Haapakka, “The mechanism of the cobalt(II)-catalyzed electro-generated chemiluminescence of luminol in aqueous alkaline solution,” Analytica Chimica Acta, vol. 141, pp. 263–275, 1982. View at: Google Scholar
  20. T. G. Burdo and W. R. Seitz, “Mechanism of cobalt catalysis of luminol chemiluminescence,” Analytical Chemistry, vol. 47, no. 9, pp. 1639–1643, 1975. View at: Google Scholar
  21. F. J. Pérez and S. Rubio, “An improved chemiluminescence method for hydrogen peroxide determination in plant tissues,” Plant Growth Regulation, vol. 48, no. 1, pp. 89–95, 2006. View at: Publisher Site | Google Scholar
  22. J. A. M. Pulgarín, L. F. G. Bermejo, and A. C. Durán, “Fast simultaneous determination of traces of Cu(II) and Co(II) in soils and sediments with the luminol/perborate chemiluminescent system,” Environmental Monitoring and Assessment, vol. 185, no. 1, pp. 573–580, 2013. View at: Publisher Site | Google Scholar
  23. A. Tahirović, A. Čopra, E. Omanović-Mikličanin, and K. Kalcher, “A chemiluminescence sensor for the determination of hydrogen peroxide,” Talanta, vol. 72, no. 4, pp. 1378–1385, 2007. View at: Google Scholar
  24. L. Marle and G. M. Greenway, “Determination of hydrogen peroxide in rainwater in a miniaturised analytical system,” Analytica Chimica Acta, vol. 548, no. 1-2, pp. 20–25, 2005. View at: Publisher Site | Google Scholar
  25. H. C. Yeh, W. T. Hsu, and W. Y. Lin, “Enhancement in chemiluminescence by carbonate for cobalt(ll)-catalyzed oxidation of luminol with hydrogen peroxide,” Journal of the Chinese Chemical Society, vol. 52, no. 4, pp. 657–664, 2005. View at: Google Scholar
  26. J. C. Ren and X. Y. Huang, “Sensitive and universal indirect chemiluminescence detection for capillary electrophoresis of cations using cobalt(II) as a probe ion,” Analytical Chemistry, vol. 73, no. 11, pp. 2663–2668, 2001. View at: Publisher Site | Google Scholar
  27. A. Waseem, M. Yaqoob, A. Nabi, and M. A. Siddiqui, “Determination of carbaryl by flow injection with luminol chemiluminescence inhibition detection,” International Journal of Environmental Analytical Chemistry, vol. 87, no. 12, pp. 825–832, 2007. View at: Publisher Site | Google Scholar
  28. Z. H. Song, S. Hou, X. Y. Yu, X. F. Xie, and X. D. Shao, “In vitro monitoring of picogram levels of captopril in human urine using flow injection chemiluminescence with immobilized reagent technique,” Analytical Letters, vol. 39, no. 6, pp. 1115–1127, 2006. View at: Publisher Site | Google Scholar
  29. J. A. Murillo Pulgarín, L. F. García Bermejo, and M. Nieves Sánchez García, “Flow injection chemiluminescence determination of vitamin B12 using on-line UV-persulfate photooxidation and charge coupled device detection,” Luminescence, vol. 26, no. 6, pp. 536–542, 2011. View at: Publisher Site | Google Scholar
  30. Y. J. Dong and Z. L. Wang, “Determined GA by FI-CE in liminol-H2O2 system,” Journal of the Chinese Chemical Society, vol. 60, no. 1, pp. 108–112, 2013. View at: Google Scholar
  31. D. L. Giokas, A. G. Vlessidis, and N. P. Evmiridis, “On-line selective detection of antioxidants free-radical scavenging activity based on Co(II)/EDTA-induced luminol chemiluminescence by flow injection analysis,” Analytica Chimica Acta, vol. 589, no. 1, pp. 59–65, 2007. View at: Publisher Site | Google Scholar
  32. E.-B. Liu and H. Q. Wei, “Determination of uric acid by chemiluminescence,” Spectroscopy and Spectral Analysis, vol. 25, no. 8, pp. 1213–1215, 2005. View at: Google Scholar
  33. F. G. Lu, M. Sun, L. L. Fan et al., “Flow injection chemiluminescence sensor based on core-shell magnetic molecularly imprinted nanoparticles for determination of chrysoidine in food samples,” Sensors and Actuators B, vol. 173, pp. 591–598, 2012. View at: Publisher Site | Google Scholar
  34. H. J. Zeng, R. Yang, Q. W. Wang, J. J. Li, and L. B. Qu, “Determination of melamine by flow injection analysis based on chemiluminescence system,” Food Chemistry, vol. 127, no. 2, pp. 842–846, 2011. View at: Publisher Site | Google Scholar
  35. L. C. Niu, Z. H. Song, and D. H. Chen, “Determination of Sudan IV in hot chilli powder with luminol/dissolved oxygen chemiluminescence system,” Journal of the Science of Food and Agriculture, vol. 90, no. 2, pp. 338–342, 2010. View at: Publisher Site | Google Scholar
  36. W. W. Liu, W. Cao, W. H. Liu, K. Du, and P. X. Gong, “Determination of phenol by flow-injection with chemiluminescence detection based on the hemin-catalysed luminol-hydrogen peroxide reaction,” Spectrochimica Acta A, vol. 85, no. 1, pp. 283–287, 2012. View at: Publisher Site | Google Scholar
  37. D. Christodouleas, C. Fotakis, A. Economou, K. Papadopoulos, M. Timotheou-Potamia, and A. Calokerinos, “Flow-based methods with chemiluminescence detection for food and environmental analysis: a review,” Analytical Letters, vol. 44, no. 1–3, pp. 176–215, 2011. View at: Publisher Site | Google Scholar
  38. C. Gómez-Benito, S. Meseguer-Lloret, and S. Torres-Cartas, “Sensitive determination of Fenamiphos in water samples by flow injection photoinduced chemiluminescence,” International Journal of Environmental Analytical Chemistry, vol. 93, no. 2, pp. 152–165, 2013. View at: Google Scholar
  39. J. Ballesta-Claver, I. F. Díaz Ortega, M. C. Valencia-Mirón, and L. F. Capitán-Vallvey, “Disposable luminol copolymer-based biosensor for uric acid in urine,” Analytica Chimica Acta, vol. 702, no. 2, pp. 254–261, 2011. View at: Publisher Site | Google Scholar
  40. L. L. Klopf and T. A. Nieman, “Effect of iron(II), cobalt(II), copper(II), and manganese(II) on the chemiluminescence of luminol in the absence of hydrogen peroxide,” Analytical Chemistry, vol. 55, no. 7, pp. 1080–1083, 1983. View at: Google Scholar
  41. Z. H. Song and S. Hou, “Sub-picogram determination of Vitamin B12 in pharmaceuticals and human serum using flow injection with chemiluminescence detection,” Analytica Chimica Acta, vol. 488, no. 1, pp. 71–79, 2003. View at: Publisher Site | Google Scholar
  42. Y. Y. Sautin, W. Imaram, K. M. Kim, A. Angerhofer, G. Henderson, and R. Johnson, “Uric acid and oxidative stress,” in Studies on Renal Disorders, pp. 143–159, Humana Press, New Jersey, NJ, USA, 2011. View at: Google Scholar
  43. T. Ahuja, D. Kumar, V. K. Tanwar, V. Sharma, N. Singh, and A. M. Biradar, “An amperometric uric acid biosensor based on Bis[sulfosuccinimidyl] suberate crosslinker/3-aminopropyltriethoxysilane surface modified ITO glass electrode,” Thin Solid Films, vol. 519, no. 3, pp. 1128–1134, 2010. View at: Publisher Site | Google Scholar

Copyright © 2013 Jiajia Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.