In this study, we investigated the atmospheric heavy metal concentrations in the particulate matter inside the subway stations of Seoul. In particular, we examined the correlation between the heavy metals and studied the effect of the heavy metals on cell proliferation. In six selected subway stations in Seoul, particulate matter was captured at the platforms and 11 types of heavy metals were analyzed. The results showed that the mean concentration of iron was the highest out of the heavy metals in particulate matter, followed by copper, potassium, calcium, zinc, nickel, sodium, manganese, magnesium, chromium and cadmium in that order. The correlation analysis showed that the correlations between the heavy metals was highest in the following order: (Cu vs Zn) , (Ca vs Na) , (Ca vs Mn) , (Ni vs Cr) , (Na vs Mn) , (Cr vs Cd) , (Zn vs Cd) , (Cu vs Cd) , (Ni vs Cd) , (Cu vs Ni) , (K vs Zn) , (Cu vs K) , (Cu vs Cr) , (K vs Cd) , (Zn vs Cr) , (K vs Ni) , (Zn vs Ni) , (K vs Cr) , and (Fe vs Cu) . The correlation coefficient between zinc and copper was 0.937, indicating the highest correlation. Copper, zinc, nickel, chromium and cadmium, which are generated from artificial sources in general, showed correlations with many of the other metals and the correlation coefficients were also relatively high. The effect of the heavy metals on cell proliferation was also investigated in this study. Cultured cell was exposed to 10 mg/l or 100 mg/l of iron, copper, calcium, zinc, nickel, manganese, magnesium, chromium and cadmium for 24 hours. The cell proliferation in all the heavy metal-treated groups was not inhibited at 10 mg/l of the heavy metal concentration. The only exception to this was with the cadmium-treated group which showed a strong cell proliferation inhibition. This study provides the fundamental data for the understanding of simultaneous heavy metal exposure tendency at the time of particulate matter exposure in subway stations and the identification of heavy metal sources. Moreover, this study can be used as the fundamental data for the cell toxicity study of the subway-oriented heavy metal-containing particulate matter.
Polymerase chain reaction (PCR) is a powerful molecular biological tool in the field of toxicity testing and diagnostics. The use of PCR for large-scale genetic testing requires an effective method of sample processing. Unfortunately, isolation of PCR-quality DNA is time-consuming. PCR performed directly on whole blood is preferred because of time efficiency, cost of the procedure, and possible automation for large-scale toxicity evaluation and diagnosis. The apolipoprotein E (APOE) gene contains two single-nucleotide polymorphisms (SNP) located at codons 112 and 158, producing three APOE protein isoforms known to be associated with the risks of developing cardiovascular disease and susceptibility to Alzheimer's disease. In the present study, an attempt was made to use the AnyDirect solution for APOE genotyping by PCR using whole blood directly without DNA purification. Results for two PCR methods, (1) conventional PCR using purified DNA and conventional buffer and (2) direct PCR using whole blood and AnyDirect solution, were compared in four different PCR-based APOE genotyping methods including PCR restriction-fragment-length polymorphism (PCR-RFLP), allele-specific PCR, SNaPshot mini-sequencing, and multiplex tetra-primer amplification refractory mutation system (T-ARMS) PCR. There was complete concordance in the APOE genotypes between conventional PCR and direct PCR, in all four different PCR-based APOE genotyping methods. Data demonstrated that the four different PCR-based APOE genotyping methods are able to determine the APOE genotypes successfully using whole blood directly with the use of AnyDirect solution. The direct multiplex T-ARMS PCR using whole blood may be the most rapid, simple, and inexpensive method for detecting APOE genotypes among four different APOE genotyping methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.