Validation Data of LipoSEARCH

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Proven Accuracy and Consistency of Profile Data

Accuracy and consistency of lipoprotein profile data by LipoSEARCH is backed by high reproducibility and close correlation with the data generated by other biochemical analyzers.
Because of this proven reliability, LipoSEARCH analysis data is used by a good number of academic researchers in various fields; metabolic endocrinology, pharmacology, physiology, neurochemistry, environmentology, and forensic medicine and by researchers in pharmaceutical industry and food industry.
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Precision and Reproducibility of Fractionation

The collected fraction samples were subjected to an enzymatic reaction, and the absorbance during the reaction period was plotted in blue.
The cholesterol content in the collected fractions was determined by HPLC and plotted in pink.
Two plots are observed to almost overlap.
(Below left)

It was confirmed that the elusion times were almost unchanged for measurement conducted on the same samples.
(Below right)

Apolipoprotein Fractionation Separated by LipoSEARCH

Close Correlation with the Data from Generic Biochemical Analyzer

Close correlation with biochemical analyzer data is obeserved, in Total Cholesterol, Total TG and HDL-C.

Using the same test sample, measured by Biochemical analyzer (Toshiba C8000).

High Reproducibility of LipoSEARCH

Table 1: Within-Day Precision (n=20) and Between-Data Precision (n=3) for Measurement of Their Cholesterol and Triglyceride Levels.

sd-LDL-c: small LDL-c + very small LDL-c

Dilution Linearity

Fig. 1. Dilution linearity of VLDL, LDL and HDL standard sample (Calbiochem).
These standard sample were prepared by sequential flotation ultracentrifugation technique.
Chromatogram example of (A) cholesterol or (B) triglyceride of each standard sample. Black, Blue, Red line indicate VLDL, LDL, and HDL standard sample respectively. Dilution linearity of (C) cholesterol or (D) triglyceride of each sample.

*, △, ◇ indicate VLDL, LDL, and HDL standard sample respectively.

Detection Limit and Quantitation Limit of Major Classes of Lipoprotein

Table 2: Detection Limit and Quantitation Limit of Major Classes of Lipoprotein

*1, *2: The detection limit and the quantitation limit were calculated by using QA/QC of LCsolution (Shimadzu). The calculation method is shown below. The noise level was calculated by using ASTM method.
*1 Detection limit = Noise Level X 3.3 / Slope of standard curve
*2 Quantitation limit = Noise Level X 10 / Slope of standard curve

Interference Degree of Interference Substance

Fig. 2. Interference for cholesterol profiles with bilirubin F, bilirubin C, hemolytic hemoglobin, ascorbic acid, and chyle.
□, ◆, ■, ○, △, ▲ indicate total cholesterol, CM, VLDL, LDL, sd-LDL, and HDL respectively. FTU means degree of chyle.

Influence Degree of Each Interference Substance for Cholesterol Profiles

Table 3: Influence Degree of Each Interference Substance for cholesterol Profiles

Data represents trueness (trueness %)
*1. Interference Check A plus; Sysmex Corporation
*2. L(+)-Ascorbic acid standard; Wako Pure Chemical Industries, Ltd.

Interference for Triglyceride Profiles

Fig. 3: Interference for triglyceride profiles with bilirubin F, bilirubin C, hemolytic hemoglobin, and ascorbic acid.
□, ◆, ■, ○, ▲ indicate total triglyceride, CM, VLDL, LDL, and HDL respectively.

Influence Degree of Each Interference Substance for Triglyceride Profiles

Table 4: Influence Degree of Each Interference Substance for Triglyceride Profiles

Data represents trueness (trueness %)
*1. Interference Check A plus; Sysmex Corporation
*2. L(+)-Ascorbic acid standard; Wako Pure Chemical Industries, Ltd.

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