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    Bunseki Kagaku

    Bunseki Kagaku

    JournalISSN 0525-1931中科院 化学 4区

    年发文量

    研究主题

    论文(22687)

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    1「未来を拓く熱分析」特集号の刊行にあたって
    2026
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    2Study of the Vaporization Behavior of the Water-Ethyl Alcohol System at Room Temperature
    Hiroyuki NODA
    2026
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    3特集号「持続可能な社会に貢献するガスクロマトグラフィーとGC誕生70年のあゆみ」の刊行にあたって
    2026
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    4Differentiation Between Genuine and Compatible Printer Inks Using a Simplified Thermal Extraction-GC/TCD Method
    Sadao NAKAMURA, Satoshi KAGAMI
    2026
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    5Development of Highly Selective LC Methods for the Analysis of Chiral Amino Acids in Food Samples
    Chiharu Ishii,Mai Oyaide, Kenji Hamase

    Recent advances in analytical techniques have revealed trace amounts of D-amino acids in higher animals. A variety of their functions, which differ from those of L-forms, have also been clarified (e.g., regulation of neuronal transmission, hormonal synthesis/secretion, antioxidative effects, and barrier function in the skin). As dietary intake is considered one of the sources of D-amino acids in mammals, including humans, finding foodstuffs containing high amounts of D-forms and utilizing them as the functional ingredients are expected. For the analysis of chiral amino acids in real-world samples, high-performance liquid chromatography (HPLC) is widely adopted. However, determining minor amino acid enantiomers in complicated matrices is often affected by the co-elution of countless interfering substances, so highly selective methods are recommended for accurate quantification. To address this issue, we have developed highly selective analytical techniques for proteinogenic and metabolic-related chiral amino acids in complex matrices, either by extending the enantioselective column length or by integrating multiple separation modes (i.e., multi-dimensional HPLC). This article introduces the HPLC methods we have developed for determining chiral amino acids, particularly in food and beverage samples, and presents the results of their application.

    2026
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    高被引作者

    作者引用发文
    Hanfa Zou110623
    Shoji Motomizu107687
    Jianyi Ni9618
    Honghai Jiang9371
    Kunihiro Watanabe81889
    Xu Xu7658
    Xiaoling Bao7001
    Huanwen Chen64151
    A MIZUIKE59151
    Tsugio Takeuchi57784

    高产作者

    作者引用发文
    Kunihiro Watanabe81889
    Shoji Motomizu107687
    Tsugio Takeuchi57784
    Shigeyuki Tanaka33081
    Yoshikazu Fujita55676
    Masayuki Itagaki56254
    Kazuo Hiiro38852
    A MIZUIKE59151
    Tadao Sakai37251
    Huanwen Chen64151

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