Comparative analysis of phytochemicals and polar metabolites from colored sweet potato (Ipomoea batatas L.) tubers

Food Science and Biotechnology - We determined the phytochemical diversity, including carotenoids, flavonoids, anthocyanins, and phenolic acids, in sweet potatoes (Ipomoea batatas L.) with...     

Determination of phenolic acids in Korean rice (Oryza sativa L.) cultivars using gas chromatography-time-of-flight mass spectrometry

Total soluble phenolic acids (free and esterified forms) from 15 Korean rice cultivars (Oryza sativa L.) were characterized to determine the total soluble phenolic acid contents and the diversity among the phenolic acids. The individual phenolic acids were identified by GC coupled to time-of-flight MS (TOFMS) including tertbutyldimethylsilyl (TBDMS) derivatization. This method requires only 13 min for the GC-TOFMS run. Total soluble phenolic acid contents were higher in pigmented rice (168–368 μg/g) than nonpigmented rice (146–172 μg/g). Freeform phenolic acids accounted for less than 10% of the total soluble phenolic acids. The dominant compounds were ferulic and sinapic acid, which were detected as cisand trans-isomers. The content of salicylic acid in rice grain varied, ranging from 7.95 to 29.61 μg/g. The quantitative results of this study indicate that the black rice ‘Josengheugchalbyeo’ could facilitate development of phenolic-rich rice or food.     

Compositional analyses of diverse phytochemicals and polar metabolites from different-colored potato (Solanum tubersum L.) tubers

Food Science and Biotechnology - Lipophilic bioactive compounds and hydrophilic primary metabolites from potato (solanum tubersum L.) tubers with different-colored flesh (white-, yellow-, red-, and...     

Synthesis of Nanocomposites of Metal Nanoparticles Utilizing Miscible Polymers

Summary Gold nanoparticles modified with poly(2–methyl–2–oxazoline) have been prepared via chemical reduction of HAuCl₄ by NaBH₄. The gold nanoparticles were homogeneously dispersed in poly(vinyl chloride) as a polymer matrix by the miscibility between the protecting polymer of the nanoparticle and the polymer matrix. Differential scanning calorimetry and UV–vis absorption measurement clearly showed that the miscibility played an important role for incorporation of the metal nanoparticles in the polymer matrix.     

Discrimination of Transgenic Canola (Brassica napus L.) and their Hybrids with B. rapa using Vis-NIR Spectroscopy and Machine Learning Methods

In recent years, the rapid development of genetically modified (GM) technology has raised concerns about the safety of GM crops and foods for human health and the ecological environment. Gene flow from GM crops to other crops, especially in the Brassicaceae family, might pose a threat to the environment due to their weediness. Hence, finding reliable, quick, and low-cost methods to detect and monitor the presence of GM crops and crop products is important. In this study, we used visible near-infrared (Vis-NIR) spectroscopy for the effective discrimination of GM and non-GM Brassica napus, B. rapa, and F1 hybrids (B. rapa X GM B. napus). Initially, Vis-NIR spectra were collected from the plants, and the spectra were preprocessed. A combination of different preprocessing methods (four methods) and various modeling approaches (eight methods) was used for effective discrimination. Among the different combinations, the Savitzky-Golay and Support Vector Machine combination was found to be an optimal model in the discrimination of GM, non-GM, and hybrid plants with the highest accuracy rate (100%). The use of a Convolutional Neural Network with Normalization resulted in 98.9%. The same higher accuracy was found in the use of Gradient Boosted Trees and Fast Large Margin approaches. Later, phenolic acid concentration among the different plants was assessed using GC-MS analysis. Partial least squares regression analysis of Vis-NIR spectra and biochemical characteristics showed significant correlations in their respective changes. The results showed that handheld Vis-NIR spectroscopy combined with chemometric analyses could be used for the effective discrimination of GM and non-GM B. napus, B. rapa, and F1 hybrids. Biochemical composition analysis can also be combined with the Vis-NIR spectra for efficient discrimination.