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912 autoanalyser

Manufactured by Hitachi
Sourced in Germany

The Hitachi-912 Autoanalyser is a versatile clinical chemistry analyzer designed for high-throughput laboratory testing. It utilizes automated processes to perform a range of analytical tests on various biological samples, such as serum, plasma, and urine. The core function of the Hitachi-912 Autoanalyser is to provide accurate and reliable test results in a timely manner, supporting clinical decision-making and patient care.

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13 protocols using 912 autoanalyser

1

Metabolic Biomarker Profiling Protocol

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Fasting plasma glucose (glucose oxidase–peroxidase method), serum cholesterol (cholesterol oxidase–peroxidase–amidopyrine method), serum triglycerides (glycerol phosphate oxidase–peroxidase–amidopyrine method), and HDL cholesterol (direct method–polyethylene glycol-pretreated enzymes) were measured using Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). The intra and inter assay co-efficient of variation for the biochemical assays was < 5%. Low-density lipoprotein (LDL) cholesterol was calculated using the Friedewald formula [13 (link)]. Glycated hemoglobin (HbAlc) was estimated by high-pressure liquid chromatography using the variant analyzer (Bio-Rad, Hercules, Calif., USA). Serum insulin was estimated using enzyme-linked immunosorbent assay (Calbiotech, CA). Insulin resistance was calculated using the homeostasis assessment model (HOMA-IR) using the formula: fasting insulin (μIU/mL) × fasting glucose (mmol/L)/22.5.
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2

Biomarker Measurement in Diabetes

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Blood parameters were measured using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). Glycated hemoglobin (HbA1c) was estimated by high pressure liquid chromatography (Bio-Rad, Hercules, CA). Urine samples were collected in the early morning after an overnight fast. Urine creatinine was measured using Jaffe’s method. Urine microalbumin concentration was measured using commercially available immunoturbidometric assay kits from Randox (Randox, UK) on Opera Technicon Auto Analyser (Bayer Diagnostics, USA). The urine sample was added to a buffer containing anti-albumin antibody. The turbidity of the resulting solution was measured and the albumin concentration was determined by constructing a standard curve with known concentrations of albumin. The mean inter-assay and intra-assay coefficient of variation were 3.4% and 2.4% respectively. Microalbuminuria was diagnosed if the albumin excretion was between 30 and 299 μg/mg of albumin [10 (link)]. The expected protein excretion (EPE) was calculated as the urinary protein to creatinine ratio [11 ]. The intra- and inter assay coefficient of variation for the biochemical assays ranged between 3.1% and 5.6%.
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3

Measuring Metabolic Markers in Fasting Subjects

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Standard techniques were followed to measure the age, height, and weight of the study subjects. Medical history was obtained from all the participants, including details of their occupation, severity and duration of the disease, treatment protocol that was followed, complications encountered, and addiction, if any. Body mass index (BMI) of the study subjects was calculated. Venous blood was collected from the median cubital vein after an overnight fast of 12 hours. The blood samples were collected in sterile containers, centrifuged at 3000 rpm; the serum/plasma was separated and stored at -80°C. The enzymatic colorimetric technique based on the glucose oxidase-peroxidase method was used to measure the glucose level. All the biochemical parameters were measured using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). Plasma visfatin levels were estimated using an ELISA Kit (Thermo Scientific, USA).
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4

Anthropometric and Biochemical Measurements

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Anthropometric measurements including height, weight, and waist circumference, were obtained using standardized techniques. The body mass index (BMI) was calculated as the weight in kilograms divided by the square of height in meters. Fasting plasma glucose (FPG) (glucose oxidase-peroxidase method), serum cholesterol (cholesterol oxidase-peroxidase- amidopyrine method), serum triglycerides (glycerol phosphate oxidase-peroxidase-amidopyrine method), high density lipoprotein cholesterol (HDL-C) (direct method-polyethylene glycol-pretreated enzymes), and creatinine (Jaffe’s method) were measured using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). The intra- and inter assay coefficient of variation for the biochemical assays ranged between 3.1% and 5.6%. Glycated hemoglobin (HbA1c) was estimated by high pressure liquid chromatography using a variant machine (Bio-Rad, Hercules, CA). The intra- and inter-assay coefficient of variation of HbA1c was less than 5%. The plasma concentrations of high-sensitivity C-reactive protein (hsCRP) were measured by high sensitive nephelometric assay. The intra- and the inter-assay coefficients of variation for hsCRP were 4.2% and 6.8%, respectively, and the detection limit was 0.15 mg/L. Both the intra and inter assay variations were determined in our biochemical lab.
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5

Anthropometric and Biochemical Measurements

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Anthropometric measurements (height, weight and waist circumference) were acquired using standard methods. Serum biochemical parameters including blood glucose, serum cholesterol, serum triglycerides, HDL-cholesterol, urea and creatinine were estimated using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany) [19 (link)]. Glycated hemoglobin (HbA1 c) was measured using high pressure liquid chromatography (Bio-Rad, Hercules, CA) [19 (link)].
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6

Metabolic Biomarkers Assessment Protocol

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Fasting plasma glucose (glucose oxidase-peroxidase method), serum cholesterol (cholesterol oxidase-peroxidase-amidopyrine method), serum triglycerides (glycerol phosphate oxidase-peroxidase-amidopyrine method) and HDL cholesterol (direct method-polyethylene glycol-pretreated enzymes) were measured using Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). The intra and inter assay co-efficient of variation for the biochemical assays were <5%. Low-density lipoprotein (LDL) cholesterol was calculated using Friedewald formula. Glycated hemoglobin (HbAlc) was estimated by high-pressure liquid chromatography using the variant analyzer (Bio-Rad, Hercules, Calif., USA). Serum Insulin was estimated using enzyme-linked immunosorbent assay (Calbiotech, CA). The intra-assay and the inter-assay coefficients of variation for insulin assay was <10%. Insulin resistance was calculated using the homeostasis assessment model (HOMA-IR) using the formula: {fasting insulin (μIU/mL) x fasting glucose (mmol/L)} / 22.5.
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7

Fasting Blood Sample Analysis

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After an overnight fast of at least 8 hours, a non- heparinized venous blood sample was taken for analysis of glucose, lipids, creatinine, calcium, phosphorus, and alkaline phosphatase. Serum was separated within 2 hours of venipuncture and analysis was done within 24 hours. Biochemical parameters were analyzed with commercially available enzymatic reagents (Audit Diagnostics, Ireland) adapted to Hitachi 912 auto analyser. HbA1c was measured with high performance liquid chromatography (HPLC) standardized to the DCCT assay (reference range, 4-6%).
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8

Biochemical Markers of Metabolic Health

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Fasting plasma glucose (glucose oxidase-peroxidase method), serum cholesterol (cholesterol oxidase-peroxidase-amidopyrine method), serum triglycerides (glycerol phosphate oxidase-peroxidase-amidopyrine method) and HDL cholesterol (direct method-polyethylene glycol-pretreated enzymes) were measured using Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). The intra- and inter-assay co-efficient of variation for the biochemical assays were <5%. Low-density lipoprotein (LDL) cholesterol was calculated using the Friedewald formula [16 (link)]. Glycated hemoglobin (HbAlc) was estimated by high-pressure liquid chromatography using the variant analyzer (Bio-Rad, Hercules, Calif., USA). Serum insulin was estimated using enzyme-linked immunosorbent assay (Calbiotech, CA). The intra-assay and the inter-assay coefficients of variation for insulin assay was <10%. Insulin resistance was calculated using the homeostasis assessment model (HOMA-IR) using the formula: fasting insulin (μIU/mL)*fasting glucose (mmol/L) / 22.5.
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9

Anthropometric and Metabolic Measurements

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Anthropometric measurements including weight, height, and waist circumference were measured using standardized techniques. The body mass index (BMI) was calculated using the formula, weight (kg)/height (m2), and obesity was classified as BMI ≥ 25 according to WHO Asia Pacific Guidelines for Asians (The Asia Pacific perspective 2000). Fasting plasma glucose (glucose oxidase–peroxidase method) was measured using Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). Glycated hemoglobin (HbA1c) was estimated by high-performance liquid chromatography using a Variant™ machine (Bio-Rad, Hercules, CA, USA). Serum insulin, serum vitamin B12, and folic acid concentration were estimated using the electrochemiluminescence using a Roche e601Cobas immunoassay analyzer (Roche Diagnostics, Indianapolis, IN, USA). The intra- and inter-assay coefficients of variation for vitamin B12 assay were 0.95% and 4.08%. Serum homocysteine was measured using enzymatic assay using the Beckman Coulter AU2700 (Fullerton, CA, USA) Biochemistry analyzer.
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10

Serum Biomarkers in Fasting Individuals

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Blood samples were collected after 10–12 h fasting and serum and plasma were separated. All of the samples were stored at −80 °C for later biochemical analysis. Fasting serum levels of glucose and lipid profiles, including total cholesterol (TC), triglyceride (TG) and high density lipoprotein (HDL-C) were measured by a Hitachi 912-autoanalyser (Hitachi, Mannheim, Germany) using commercial kits. Low density lipoprotein (LDL) was calculated by friedewald equation. Insulin was measured by radioimmunoassay. Serum irisin concentration was measured using the enzyme-linked immunosorbent assay (ELISA) kits (Biovendor Laboratory Medicine, Modrice, Czech Republic).
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