Clinical Chemistry
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 47: 1703-1704, 2001;
This Article
Right arrow Extract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (13)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bannon, D. I.
Right arrow Articles by Chisolm, J. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bannon, D. I.
Right arrow Articles by Chisolm, J. J., Jr
Related Collections
Right arrow Drug Monitoring and Toxicology
Right arrow Automation and Analytical Techniques
(Clinical Chemistry. 2001;47:1703-1704.)
© 2001 American Association for Clinical Chemistry, Inc.


Technical Briefs

Anodic Stripping Voltammetry Compared with Graphite Furnace Atomic Absorption Spectrophotometry for Blood Lead Analysis

Desmond I. Bannon1a and J. Julian Chisolm, Jr2

1 Kennedy Krieger Institute, Neurology, 707 North Broadway, Baltimore, MD 21205

2 Kennedy Krieger Institute, Trace Metal Laboratory, 3001 East Biddle St., Baltimore, MD 21213

aauthor for correspondence: fax 410-502-8093, e-mail dbannon{at}jhmi.edu

According to a recent CDC report, blood lead concentrations in 1 000 000 US children are at values associated with irreversible damage to health (1). The effects of chronic lead poisoning on the developing nervous systems have been well documented (2), with children in inner city neighborhoods, where older housing stocks have deteriorating lead paint, most vulnerable (3). Accurate screening of children for lead exposure is, therefore, of paramount importance.

The current biomarker for assessment of lead exposure is venous blood lead, commonly measured by anodic stripping voltammetry (ASV) or graphite furnace atomic absorption spectrometry (GFAA). Although both of these techniques have been used in our laboratory for 15 years, with ASV being our instrument of choice for clinical blood lead analysis, there is surprisingly little published information on ASV as a clinical tool for blood lead analysis.

Here we present comparative data on ASV and GFAA analyses of blood lead in our clinic, with a novel reagent for calibration of ASV. For ASV, we used the ESA 3010B Trace Metals Analyzer (Environmental Science Associates) with a mercury-coated graphite electrode, a Ag/AgCl reference electrode, and a platinum counter electrode. For GFAA (4), we used a Zeeman/5100 PC atomic absorption spectrophotometer with HGA-600 graphite furnace and AS-60 autosampler (Perkin-Elmer).

For analysis by ASV, instead of the manufacturer’s reagent we used a novel reagent developed at our laboratory that is based entirely on chloride salts and HCl. HCl is suitable for electroplating of metals. Importantly, hemoglobin, the predominant protein found in erythrocytes, is soluble in hydrochloric acid but not in nitric or perchloric acids. In this reagent, Pb2+ ions are found within the pH range 1.3–1.4, above which there is slow conversion to PbOCl-, whereas at pH values less than this range, H2 is driven off and recorded as a Pb signal, leading to false positives. We included nickel in the reagent to complex excess EDTA in the anticoagulant, as it has a higher affinity for EDTA than Pb2+ ions have. Additionally, EDTA was preferred to heparin because, in our experience, heparinized samples stored in the refrigerator tend to form gels and give inconsistent analysis (5).

This reagent is prepared by dissolving 52.6 g of KCl in 1500 mL of deionized water. To remove any trace quantities of lead, this solution was passed through a cation-exchange column. The following chemicals were added in the filtrate: 76 mg of HgCl2 (Spex Industries), 320 mg of NiCl2 (Johnson Matthey), 0.2 mL of 2-octanol (Sigma), and 0.4 mL of Triton X-100 (Sigma). The solution was thoroughly mixed and diluted to a total volume of 2 L with deionized water. The pH was adjusted to 1.3–1.4 with 16.7 mL of 6 mol/L HCl [G. Frederick Smith (GFS Chemicals, Powell, OH)]. The manufacturers’ tubes were used for sample analysis.

Venous blood samples were collected from children who were referred to the lead clinic at the Kennedy Krieger Institute. Collections were in accordance with the Institute’s protocol on patients and were performed with stainless steel butterflies, polypropylene tubing, and 3-mL Vacutainers containing potassium EDTA as anticoagulant. Acceptable tubes were at least three-fourths filled to avoid interference because of excess EDTA. We combined 100 µL of well-mixed blood with 2.900 mL of reagent and analyzed samples after a few minutes. Several samples can be prepared in advance. Analysis was carried out as recommended by the manufacturer.

Calibration of the ASV was carried out with calibrators made from bovine blood, which was filtered and homogenized by sonification. PbNO3 was added to the approximate concentration required and thoroughly mixed. The values of these calibrators were then established by comparisons with human blood that had been assayed by thermal ionization mass spectrometry as described previously (4). The calibrators had assigned values of 0.284 µmol/L (59 µg/L), 1.736 µmol/L (360 µg/L), and 3.376 µmol/L (700 µg/L). The quality-control material had values of 0.385 µmol/L (80 µg/L) and 1.736 µmol/L (360 µg/L). These were analyzed after calibration and at least after every 10 samples. Our requirement for process control was a measured value within 0.097 µmol/L (±20 µg/L) of the certified value for each high and low quality- control sample for both instruments.

We first compared the performance of ASV and GFAA in the Wisconsin State Laboratory of Hygiene Proficiency Testing Program (CDC). From the fitted regression lines (summarized in Table 1 ), both linear models fit the data and there was no systematic error associated with a plot of the residuals (data not shown). There was no bias associated with either method, although the proportional error, represented by the slope, was slightly greater for GFAA than for ASV. In both cases, the model accounted for >96% of the variance (regression coefficient, R2). As expected, these two methods performed well in the measurement of blood lead from single-blind proficiency programs over a representative range of blood lead concentrations. Results of a previous study (4) comparing an earlier model, the 3010A, with GFAA were as follows: ASV, y = 0.984x + 0.476 (R2 = 0.982); GFAA, y = 0.977x + 0.292 (R2=0.996).


View this table:
[in this window]
[in a new window]
 
Table 1. Linear regression statistics for the performance of ASV and GFAA in the Wisconsin State Laboratory/ CDC Blood Lead Proficiency Program for 53 samples.

ASV and GFAA are compared in Fig. 1 for the analysis of human blood samples. The model shows that 98% of the variability in ASV is explained by the GFAA measurement. We saw no systematic error associated with a plot of the residuals (data not shown). The linear model accounted for the data, and the underlying assumptions (linearity, stable variance) of the model have not been violated.



View larger version (15K):
[in this window]
[in a new window]
 
Figure 1. Linear regression lines and statistics of the relationship between ASV and GFAA for blood lead analysis of 53 clinical samples.

The upper limit of linearity was 3.377 µmol/L (700 µg/L), although we routinely used a linear calibration up to 1.930 µmol/L (400 µg/L), which encompassed almost all of our clinical samples. The limit of detection, measured as 3 SD of seven replicates of the low calibrator, was 0.048 µmol/L (10 µg/L). The within-day and between-day CVs, estimated by repeated measures (n = 21), were 11% and 7%, respectively, for a sample measuring 0.284 µmol/L (59 µg/L) and 2% (both within-day and between-day) for a sample measuring 1.739 µmol/L (360 µg/L).

These data demonstrate that the newer ASV technology (3010B) is comparable to GFAA for blood lead analysis. The ASV Model 3010B blood lead analyzer is well suited in size, cost, and operation for a clinic. The ASV 3010B showed a marked improvement in stability, ease of operation and precision over the earlier model (4) and, according to our results, performs as well as or better than the 5100 GFAA.


Acknowledgments

This paper’s coauthor, J. Julian Chisolm, Jr., MD, professor emeritus of pediatrics at Johns Hopkins School of Medicine and director emeritus of the Lead Poisoning Prevention Program at Kennedy Krieger Institute, died on June 20, 2001. He will be fondly remembered as a colleague, mentor, and friend. This work was funded by the Lead Poisoning Prevention Program at the Kennedy Krieger Institute.

We appreciate the invaluable help of Veronica Kestenberg, research assistant, for technical assistance and for helping to prepare this manuscript, as well as the technical assistance of Chester Bowen.


References

  1. Centers for Disease Control. http://www.cdc.gov/nceh/lead/lead.htm (Accessed April 2001)..
  2. Needleman HL, Schell A, Belinger D, Leviton A, Allred EN. The long term effects of exposure to low doses of Pb in childhood. An 11-year follow-up report. N Engl J Med 1990;322:83-85.[Abstract]
  3. National Research Council.. Measuring lead exposure in infants, children, and other sensitive populations 1993:99-141 National Academy Press Washington. .
  4. Bannon DI, Murashchik C, Zapf CR, Farfel MR, Chisolm JJ, Jr. Graphite furnace atomic absorption spectroscopic measurement of blood lead in matrix-matched standards. Clin Chem 1994;40:1730-1734.[Abstract/Free Full Text]
  5. Chisolm JJ, Jr, Brown DH. Micro-scale photofluorometric determination of "free erythrocyte porphyrin" (protoporphyrin IX). Clin Chem 1975;21:1669-1682.[Web of Science][Medline] [Order article via Infotrieve]



The following articles in journals at HighWire Press have cited this article:


Home page
Toxicol Ind HealthHome page
D. Khan, S Qayyum, S Saleem, and F. Khan
Lead-induced oxidative stress adversely affects health of the occupational workers
Toxicology and Industrial Health, October 1, 2008; 24(9): 611 - 618.
[Abstract] [PDF]


Home page
NeurologyHome page
R. A. Shih, T. A. Glass, K. Bandeen-Roche, M. C. Carlson, K. I. Bolla, A. C. Todd, and B. S. Schwartz
Environmental lead exposure and cognitive function in community-dwelling older adults
Neurology, November 14, 2006; 67(9): 1556 - 1562.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
D. Martin, T. A. Glass, K. Bandeen-Roche, A. C. Todd, W. Shi, and B. S. Schwartz
Association of Blood Lead and Tibia Lead with Blood Pressure and Hypertension in a Community Sample of Older Adults
Am. J. Epidemiol., March 1, 2006; 163(5): 467 - 478.
[Abstract] [Full Text] [PDF]


Home page
Reviews in Mineralogy and GeochemistryHome page
R. J. Reeder, M. A. A. Schoonen, and A. Lanzirotti
Metal Speciation and Its Role in Bioaccessibility and Bioavailability
Reviews in Mineralogy and Geochemistry, January 1, 2006; 64(1): 59 - 113.
[Full Text] [PDF]


Home page
JAMAHome page
M. Weil, J. Bressler, P. Parsons, K. Bolla, T. Glass, and B. Schwartz
Blood Mercury Levels and Neurobehavioral Function
JAMA, April 20, 2005; 293(15): 1875 - 1882.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Extract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (13)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bannon, D. I.
Right arrow Articles by Chisolm, J. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bannon, D. I.
Right arrow Articles by Chisolm, J. J., Jr
Related Collections
Right arrow Drug Monitoring and Toxicology
Right arrow Automation and Analytical Techniques


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS