Black chestnut (BC) was obtained through aging of fresh chestnut (FC) at 80℃ for 15 days. Proximate and mineral compositions along with colors of FC and BC were evaluated. With aging, moisture contents decreased by 50%, whereas sugar contents, carbohydrate contents, and calories increased. Contents of minerals (Fe, P, Ca, Na, Mg, K) were significantly higher in FC than in BC, showing an order of Mg < Ca < P < K in both FC and BC. Using a Hunter color system, it was found that lightness (L), redness (a), and yellowness (b) values of FC were higher than those of BC. Antioxidant and cytotoxic activities of hot water and ethanol (50, 80, 100%) extracts prepared from FC and BC were evaluated. Extraction yields were lower with FC than with BC. Among water and ethanol extracts, water extract showed the highest DPPH radical scavenging activity for both FC and BC. IC50 values for ABTS+ radical scavenging activities increased after aging. Cytotoxicities of FC and BC extracts were similar to each other. They were different against various cell lines (3T3, HeLa, and Sarcoma-180). These results suggest that BC could be used as a new processed food using chestnut.

The analytical method for the determination of phosphorus in foods was validated by inductively coupled plasma optical emission spectrometry (ICP-OES) in terms of precision, accuracy, recovery efficiency and linearity. Regression analysis revealed good correlation coefficient, higher than 0.999. Recovery efficiencies of the minerals ranged from 90.36% to 110.63%, and the limit of detection (LOD) and the limit of quantification (LOQ) were 0.0745 mg/ kg and 0.2482 mg/kg, respectively. The value of inter-day and intra-day ranged from 1.43 to 3.23% and from 0.40 to 1.77%. The recovery efficiencies ranged from 97.8 to 110.6%. The method was also compared with Molybdenum blue colorimetric method using certified and statistically significant difference was also not observed in the between two different analytical methods. The ICP-OES method was applied to phosphorus determination in commonly consumed foods. The obtained results suggest that the method verified in the present study may be used as an official analytical method for clear understanding of phosphorus database for national health promotion.

Panax ginseng C.A. meyer (family: Araliaceae) is a perennial crop that has been widely used as a traditional medicine in Korea. Various P. ginseng cultivars exhibit a range of morphological and physiological traits as well as genetic diversity. To elucidate the differences of primary metabolism underlying such genetic diverstiy, we performed primary metabolite profiles in adventitious roots from five Panax ginseng cultivars using gas chromatography-mass spectrometry (GC-MS). The GC-MS analysis revealed eight primary metabolites as biomarkers and allowed us to classify the five cultivars into three groups. We selected three cultivars to represent each group and analyzed their transcriptomes by Illumina sequencing. We inspected 100 unigenes involved in seven primary metabolite biosynthesis pathways and found that 21 unigenes encoding 15 enzymes were differentially expressed among the three cultivars. Integrated analysis of transcriptomes and metabolomes revealed that the ginseng cultivars differ in primary metabolites as well as in the putative genes involved in the complex process of primary metabolic pathways. Our data derived from this integrated analysis provide insights into the underlying complexity of genes and metabolites that co-regulate flux through these pathways in ginseng.

Panax Ginseng is a perennial medicinal plant originated from North-east asia. Because of its well-known tonic effects mainly from ginsenosides, various types of processed ginseng products have been distributed around the world. Here, we analyzed secondary metabolite profiling of adventitious roots of 5 korean ginseng cultivars, Chunpoong (CP), Sunhyang (SH), Gopoong (GO), Sunun (SU), and Cheongsun (CS). At the same time, the profiles of relative gene expressions related to ginsenoside biosynthesis pathway were compared among ginseng cultivars. Secondary metabolite profiles were revealed by UPLC/Q-TOF-MS from extracts of bioreactor derived adventitious roots of five ginseng cultivars. Using principal component analysis, secondary metabolite profiles of ginseng cultivars were categorized into three groups. Metabolites with high VIP values were annotated using known database and standards compounds. Relative gene expression of ginsenoside related gene were analyzed using realtime PCR. The three groups had distinct metabolite contents. Furthermore, gene expression profiles related to ginsenoside were also different, which might contribute diverse secondary metabolite composition of ginseng cultivars. Further integrated analysis would provide a relationship between genetic background of ginseng cultivars and secondary metabolite profiles.