泗水PT. Trans Indo Sakti集装箱卡车司机头发和血液中的铅含量

Juliana Christyaningsih, Amiliya Antika Dewi, Ayu Puspitasari
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引用次数: 0

摘要

铅是一种重金属,被用作汽油添加剂,以增强汽车(如集装箱卡车司机)的润滑和燃烧效率,在高速公路上很常见。卡车司机在路上更容易吸入含铅空气,这可能导致中毒。头发和血液可以作为体内铅暴露的生物标志物。本研究的目的是利用原子吸收分光光度法(AAS)测定泗水PT. Trans Indo Sakti集装箱卡车司机头发和血液中的铅含量。本研究是一项描述性研究,于2022年10月至2023年5月在泗水卫生部医疗检验技术部分析化学实验室和泗水标准化与工业服务中心实验室进行。在研究中使用的样本是15个集装箱卡车司机,选择使用有目的的抽样技术。研究结果表明,头发铅含量最低为0.1936µg/g,最高为3.026µg/g。在被调查者中,9人属于正常水平,6人属于异常水平。血液样品的最低铅含量为0.146µg/dL,最高为3.81µg/dL。铅含量仍属于正常水平。铅在体内的存在受年龄、工作年限、工作时间和吸烟习惯的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lead Levels in Hair and Blood of Container Truck Drivers at PT. Trans Indo Sakti Surabaya
Lead is one of the heavy metals used as an additive in gasoline to enhance lubrication and combustion efficiency in motor vehicles, such as container truck drivers, and is commonly found on highways. Truck drivers have a higher tendency to inhale air containing lead while on the road, which can lead to poisoning. Hair and blood can serve as biomarkers of lead exposure in the body. The purpose of this research is to determine the lead levels in the hair and blood of container truck drivers at PT. Trans Indo Sakti Surabaya using Atomic Absorption Spectrophotometry (AAS). This research is a descriptive study conducted at the Analytical Chemistry Laboratory of the Department of Medical Laboratory Technology, Health Polytechnic Ministry of Health Surabaya and the Standardization and Industrial Services Center Laboratory in Surabaya from October 2022 to May 2023. The samples used in the study are 15 container truck drivers, selected using purposive sampling technique. This study demonstrates results of the lowest hair lead level value at 0.1936 µg/g and the highest at 3.026 µg/g. Among the respondents, 9 were categorized as having normal levels, while 6 respondents were categorized as having abnormal levels. For the blood samples, the lowest lead level obtained was 0.146 µg/dL and the highest was 3.81 µg/dL. The lead levels are still categorized as normal. The presence of lead in the body is influenced by age, length of employment, duration of work, and smoking habits.
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