Assessment of the chemical hazard awareness of petrol tanker driver: A case study

The impact of accidents during the transport of dangerous good, on people, the environment, and infrastructure and measures for their reduction: a review

Road transport is one of the most dangerous methods of goods transport. Driver errors and poor traffic conditions can cause traffic accidents, which can have a negative impact on people's health, the environment, and infrastructure. The main influence on the level of the consequences is the chemical composition and amount of the transported substance. This paper presents the causes of traffic accidents during the transport of dangerous goods. In addition, how traffic accidents during the transport of dangerous goods affect people's health, the environment, and infrastructure was shown. After that, measures for accidents avoidance and the alleviation and reduction of dangerous goods were given. From the review of studies from the subject field, it can be concluded that the dangerous goods are very harmful to people, the environment, and infrastructure when transport accidents occur. Lessons should be learned from the history of accidents involving the transport of dangerous goods to avoid repeating the same mistakes. The review conclusions indicate that a routes optimization and investment in road infrastructure are needed to reduce risk during the transport of dangerous goods.

Recent Trends and Advances in Porous Metal-Organic Framework Nanostructures for the Electrochemical and Optical Sensing of Heavy Metals in Water

With the expansion and advancement in agricultural and chemical industries, various toxic heavy metals such as lead, cadmium, mercury, zinc, copper, arsenic etc. are continuously released into the environment. Intake of sources contaminated with such toxic metals leads to various health issues. Keeping the serious effects of these toxic metal ions in view, various organic-inorganic nanomaterials based sensors have been exploited for their detection via optical, electrochemical and colorimetric approaches. Since a chemical sensor works on the principle of interaction between the sensing layer and the analytes, a sensor material with large surface area is required to enable the largest possible interaction with the target molecules and hence the sensitivity of the chemical sensor. However, commonly employed materials such as metal oxides and conducting polymers tend to feature relatively low surface areas, and hence resulting in low sensitivity of the sensor. Metal-Organic Frameworks (MOFs) nanostructures are another category of organic-inorganic materials endowed with large surface area, ultra-high and tunable porosity, post-synthesis modification features, readily available active sites, catalytic activity, and chemical/thermal stability. These properties provide high sensitivity to the MOF based sensors due to the adsorption of large number of target analytes. The current review article focuses on MOFs based optical and electrochemical sensors for the detection of heavy metals.

Factors Affecting Adverse Health Effects of Gasoline Station Workers

This cross-sectional study examined the risk factors affecting adverse health effects from benzene exposure among gasoline station workers in Khon Kean province, Thailand. An interview questionnaire of adverse symptoms relating to benzene toxicity was administered to 151 workers. Area samplings for benzene concentration and spot urine for tt-muconic acid (tt-MA), a biomarker of benzene exposure, were collected. The factors associated with adverse symptoms were analysed by using multiple logistic regression. It was found that these symptoms mostly affected fuelling workers (77.5%), and the detected air benzene reached an action level or higher than 50% of NIOSH REL (>50 ppb). The top five adverse symptoms, i.e., fatigue, headache, dizziness, nasal congestion, and runny nose, were reported among workers exposed to benzene. More specific symptoms of benzene toxicity were chest pain, bleeding/epistaxis, and anaemia. The detected tt-MA of workers was 506.7 ug/g Cr (IQR), which was a value above the BEI and higher than that of asymptomatic workers. Risk factors significantly associated with adverse symptoms, included having no safety training experience (OR_adj = 5.22; 95% CI: 2.16–12.58) and eating during work hours (OR_adj = 16.08; 95% CI: 1.96–131.74). This study urges the tightening of health and safety standards at gasoline stations to include training and eating restrictions while working in hazardous areas.