7600 automated chemistry analyzer

Manufactured by Hitachi

Sourced in Japan

The 7600 automated chemistry analyzer is a laboratory instrument designed for the automated analysis of chemical compounds in samples. It performs a variety of clinical chemistry tests, including the measurement of various analytes such as enzymes, proteins, and metabolites. The 7600 analyzer is capable of handling a high volume of samples and delivering accurate and reliable results.

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Lab products found in correlation

7600 analyzer, by Hitachi (1 mentions) Advia 1650 system, by Bayer (1 mentions) Qdr 4500a, by Hologic (1 mentions) Ins irma, by Thermo Fisher Scientific (1 mentions)

4 protocols using 7600 automated chemistry analyzer

Serum Biochemical Profiling in Rabbits

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To evaluate the relevant serological indicators, rabbits were anesthetized by intraperitoneal injection of 10% chloral hydrate. Two milliliters of blood were collected by cardiac puncture into lithium heparin anticoagulant tubes. After centrifuging at 3500 rpm, the serum was carefully separated and stored at −20°C until used. Before analysis, the serum samples were removed from the −20°C refrigerator and incubated overnight at 4°C.
The total bilirubin, direct bilirubin, alanine aminotransferase, aspartate aminotransferase, total protein, albumin, γ-glutamyl transpeptidase (γ-GT), alkaline phosphatase (ALP), triglyceride, total cholesterol, and prealbumin levels were examined using a Hitachi 7600 automated chemistry analyzer (Hitachi, Tokyo, Japan).

Zhu X., Xiao Z., Chen X., Li Y., Zhang X., Xu Y., Feng X, & Wang J. (2014). Parenteral Nutrition–Associated Liver Injury and Increased GRP94 Expression Prevented by ω-3 Fish Oil–Based Lipid Emulsion Supplementation. Journal of Pediatric Gastroenterology and Nutrition, 59(6), 708-713.

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Preoperative Blood Biomarkers in PJI

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On the day of admission, nurses collected fasting cubital vein blood specimens 10 ml from all patients and sent them to our hospital’s laboratory for analysis within 1 h. Peripheral blood routine examination is performed utilizing the Sysmex XN-9000 Hematology Analyzer (Japan), ESR testing is performed utilizing special ESR tubes compatible with the VITAL Monitor-100 system (Italy), and CRP testing is conducted using the HITACHI-7600 automated chemistry analyzer (Japan). Patient general information, including age, sex, body mass index (BMI), preoperative peripheral blood white blood cell (WBC) count, platelet count (PLT), ESR, CRP, PLR, PVR, NLR and MLR, was recorded for both groups based on our hospital's electronic medical record system. In addition, in this study, we collected joint fluid and periprosthetic tissue samples (at least three locations) from patients with diagnosed or suspected PJI. We classified and counted the WBC in the joint fluid, performed aerobic and anaerobic cultures on the samples, and conducted pathological analysis on the periprosthetic tissue.

Deng L., Wang J., Yang G.Y., Hou Y.Z., Li K.W., Sun B, & Wang S.H. (2024). Different biomarker ratios in peripheral blood have limited value in diagnosing periprosthetic joint infection after total joint arthroplasty: a single-center, retrospective study. BMC Musculoskeletal Disorders, 25, 377.

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Lipid and Glucose Profiling of Research Participants

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Blood samples collected from each subject during the survey were processed, refrigerated immediately, transported in cold storage to the central laboratory (Neodin Medical Institute, Seoul, Korea) and analyzed within 24 hours after transportation.^{(2013 (link))} TC, high‐density lipoprotein cholesterol (HDL‐C), triglycerides (TG) and fasting glucose levels were determined using a Hitachi 7600 automated chemistry analyzer (Hitachi, Tokyo, Japan). LDL‐C was calculated using the Friedewald formula: [LDL‐C (mg/dL)=TC (mg/dL)−{HDL‐C (mg/dL)+TG (mg/dL)/5}] if the TG level was low (≤400 mg/dL) and measured directly using the Hitachi 7600 analyzer if the TG level was high (>400 mg/dL).
Body mass index (BMI) was determined as the ratio of weight to height (kg/m²). Standardized health questionnaires were used to determine behavior and lifestyle characteristics including cigarette smoking status (never or past/current). Blood pressure was measured 3 times on the right arm while the individual was in a seated position after at least 5 minutes of rest using a mercury sphygmomanometer (Baumanometer; W.A. Baum Co.). The final blood pressure value was obtained by averaging the second and third blood pressure readings.

Lee Y., Lee S., Lee M.H., Kim J., Lee B., Kang E.S., Lee H.C, & Cha B.S. (2014). Serum Cholesterol Concentration and Prevalence, Awareness, Treatment, and Control of High Low‐Density Lipoprotein Cholesterol in the Korea National Health and Nutrition Examination Surveys 2008–2010: Beyond the Tip of the Iceberg. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 3(1), e000650.

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Comprehensive Biometric Measurements Protocol

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Body fat was measured with a dual-energy X-ray absorptiometer (QDR 4500A; Hologic Inc., Waltham, MA, USA). Well-trained observers manually measured blood pressure with a mercury sphygmomanometer (Baumanometer; Baum, Copiague, NY, USA). During the survey, a random urine sample was collected. All samples were refrigerated and transported to the central laboratory within 24 h. Urinary sodium levels were measured using the ion-selective electrode method. Serum and urine creatinine levels were assessed with the Jaffe reaction and measured with an automatic analyzer (ADVIA 1650 system; Bayer Health Care, Tarrytown, NY, USA). Blood samples were immediately refrigerated, transported to the Central Testing Institute in Seoul, Korea, and analyzed within 24 h. The serum levels of creatinine and the lipid and liver enzyme profiles were determined using a Hitachi 7600 automated chemistry analyzer (Hitachi, Tokyo, Japan) using the indicated methods. Fasting insulin (INS-IRMA; Biosource, Nivelles, Belgium) was measured by an immunoradiometric assay. Homeostasis model assessment of insulin resistance (HOMA-IR) values were calculated using the following formula: fasting [plasma glucose (mg/dL) × fasting insulin (mIU/mL)]/22.5 [15 (link)].

Huh J.H., Lee K.J., Lim J.S., Lee M.Y., Park H.J., Kim M.Y., Kim J.W., Chung C.H., Shin J.Y., Kim H.S., Kwon S.O, & Baik S.K. (2015). High Dietary Sodium Intake Assessed by Estimated 24-h Urinary Sodium Excretion Is Associated with NAFLD and Hepatic Fibrosis. PLoS ONE, 10(11), e0143222.

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