This study was conducted to investigate the residue amount of harmful materials on the 113 commercial fruit teas (Gugija, Omija, Sansuyu) in Gwangju area. It was performed using the GC-ECD, GC-NPD, GCMSD and the LC-UVD, LC-FLD, LC-MSD to analyze 200 pesticides. The heavy metals were determined using a Mercury analyzer and AAS. The sulfur dioxides were analyzed by modified Monnier-Williams method. The residual pesticides were detected in 4 samples (Gugija). The mean values of heavy metal contents (mg/kg) were Pb, 0.024; Cd,0.031; As, 0.010; Hg, 0.003. The measured values of Pb, Cd, As, Hg showed within MRLs. The sulfur dioxides were over MRLs in 4 samples (Gugija). These results will be used to establish on the regulation of commercial fruit teas in Gwangju area.

In this study was analyzed substances that high contribute to odor strength degree which emitted from the painting, the plating, the casting, the rubber manufacturing, and the used oil refining facilities in Gwangju Hanam industrial complex. In order to this, we analyzed two types of nitrogen compounds, five types of sulfur compounds, thirteen types of the aldehyde, and ten types of volatile organic compounds discharged from an outlet for antipollution facilities. The results are as following high contribution rate sustances to odor strenth was ordered butylaldehyde (73.8%) ＞ acetaldehyde (17.7%) ＞ propionaldehyde (4.9%) at painting facilities. At plating facilities, it was ordered Acetaldehyde (59.0%) ＞ ammonia (19.1) ＞ hydrogen sulfide (13.1%). At casting facilities, it was ordered Hydrogen sulfide (65.9%) ＞ acetaldehyde (17.2%) ＞ sulfur dioxide(5.2%). At rubber manufacturing facilities, it was ordered i-valeraldehyde (35.0%) ＞ butylaldehyde (32.0%) ＞ n-valeraldehyde (13.3%) and at used oil refinery facilities, it was ordered Acetaldehyde (36.8%)＞ butylaldehyde (33.6%) ＞ sulfur dioxide (14.5%).

This survey was conducted to monitor the food additives, heavy metals, and microbial contamination of the dried marine products like squids, pollacks, and shrimps, including jerked beef. They were purchased from supermarkets and traditional markets in Gwangju from February to December 2009. A total of 101 samples were tested. Sorbic acid, one of the additives, was detected in 29 samples of them (32.2%) and the contents were from 21.4to 244.2 mg/kg. Among heavy metals, lead was detected, ranging from 0.000 to 0.594 mg/kg and cadmium, from 0.000 to 0.679 mg/kg and mercury, from 0.001 to 0.947 mg/kg. Sodium was detected, ranging from 0.6 to 1.7%. Aerobic bacteria were detected from 81 samples (80.2%), coliform bacteria, from 10 samples (9.9%) and Bacillus cereus,causing food poisoning, was isolated from 3 samples (3.0%).

There are many factors to influence the amount of terpene at the forest. However, it is poorly understood whether the amount is altered by meteorological factors. In order to study correlation analysis between terpene amount and meteorological(i.e., temperature, humidity, wind speed, solar radiation) and environmental factors(i.e., oxygen, carbonb dioxide) at the artificial coniferous forest of Chamaecyparis obtusa (site 1) and Cryptomeria japonica (site 2) nearby the 1st reservoir at Mt. Moodeung, the research was executed during April to November in 2011. Forest density at site 1 was 1,692 trees/ha, being occupied with 87.2% of Chamaecyparis obtusa, higher than 925 trees/ha at site 2. Carbon dioxide at site 1 was in the range of 385∼410 ppm in June, similar to at Anmyundo(395 ppm in 2010). Solar radiation has positive correlation with ambient temperature and inversely negative with relative humidity. Main species of terpene released were α -pinene, camphene, β-pinene, cymene, δ-limonene and camphor at two sites and terpene was more effluent at spring and summer than at fall. The large amount of terpene was emitted in the afternoon than in the morning under the influence of the wind speed and the topographical property. The terpene amount has positive correlation with relative humidity and oxygen, and negative with wind speed and soil temperature. Because correlations of α-pinene and other terpene materials showed statistically significant within p=0.01. α-pinene could be suggested as the basic material in explaining the amount of other terpene materials.