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LA-ICP-MS with microarray chip sampling to determine holoceruloplasmin in serum

Authors: Jae-young Joo; H. B. Lim;

LA-ICP-MS with microarray chip sampling to determine holoceruloplasmin in serum

Abstract

An analytical method was developed to determine holoceruloplasmin (holo-CP) concentration in serum using laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS). Since each holo-CP in serum contains six Cu ions, the concentration was estimated quantitatively by determining the Cu concentration. For small sample consumption, polydimethylsiloxane (PDMS) microarray chips with 150 μm diameter pillars were manufactured. The surface of each pillar was immobilized by a ceruloplasmin (CP) antibody (IgG) for an antigen–antibody reaction to afford high selectivity for the sampling of total CP in the serum matrix. A calibration curve with a linear regression coefficient of 0.992 was obtained by standard addition methods. For demonstration, 126 pL of human serum was loaded on each pillar of the microarray chips and analyzed by LA-ICP-MS in single-shot mode. The determined concentration of holo-CP was compared with that of the total CP estimated by competitive enzyme linked immunosorbent assay (ELISA), from which the concentration of apoceruloplasmin (apo-CP) was deduced. In conclusion, this analytical method for determining holo-CP concentration with high selectivity and small sample volume can be used in the confirmative diagnosis of diseases related to copper deficiency in clinical samples.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Top 10%