K S Naresh, Biswas Anisha, Chaudhari Sachin R
Department of Plantation Products, Spices & Flavour Technology, CSIR-Central Food Technological Research Institute, Mysuru, Karnataka, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Magn Reson Chem. 2025 Sep;63(9):660-669. doi: 10.1002/mrc.70000. Epub 2025 Jun 16.
Curcuminoids, including curcumin, demethoxycurcumin, and bisdemethoxycurcumin, are vital for quality control in food, nutraceuticals, and pharmaceuticals. Conventional 1D H NMR can face challenges in spectral interpretation when dealing with overlapping signals and complex coupling patterns, especially in structurally similar compounds like curcuminoids. This study explores the use of selective homodecoupled 1D H NMR spectroscopy as a complementary technique to enhance spectral resolution and facilitate peak assignment in curcuminoid analysis. By collapsing multiplet structures such as doublets observed in the 6.6- to 6.8-ppm region for vinylic protons into singlets, this method offers improved spectral clarity. Although absolute quantification still requires deconvolution, the approach aids in more straightforward relative integration and identification of components within curcuminoid mixtures from turmeric samples. The results demonstrate improved interpretability compared with conventional H NMR under similar conditions. Comparative analysis with HPLC showed excellent agreement, with standard deviations under 2% for most samples. The selective homodecoupled 1D H NMR method proved robust and reliable, offering an effective tool for profiling curcuminoids and potential application to other natural product mixtures.
姜黄素类化合物,包括姜黄素、去甲氧基姜黄素和双去甲氧基姜黄素,对于食品、营养保健品和药品的质量控制至关重要。传统的一维氢核磁共振(1D H NMR)在处理重叠信号和复杂耦合模式时,尤其是在处理像姜黄素类化合物这样结构相似的化合物时,在光谱解释方面可能会面临挑战。本研究探索了使用选择性同核去耦一维氢核磁共振光谱作为一种补充技术,以提高光谱分辨率并便于在姜黄素类化合物分析中进行峰归属。通过将在6.6至6.8 ppm区域观察到的烯丙基质子的双峰等多重峰结构折叠为单峰,该方法提高了光谱清晰度。虽然绝对定量仍需要去卷积,但该方法有助于更直接地进行相对积分,并识别姜黄样品中姜黄素类化合物混合物中的成分。结果表明,与类似条件下的传统氢核磁共振相比,其解释性得到了改善。与高效液相色谱(HPLC)的对比分析显示出极佳的一致性,大多数样品的标准偏差低于2%。选择性同核去耦一维氢核磁共振方法被证明是稳健且可靠的,为姜黄素类化合物的分析提供了一种有效工具,并有可能应用于其他天然产物混合物。