Geographical origin identification of cinnamon using HPLC-DAD fingerprints and chemometrics

IF 4.9 2区 化学 Q1 CHEMISTRY, ANALYTICAL Microchemical Journal Pub Date : 2024-09-24 DOI:10.1016/j.microc.2024.111768
Xiao-Dong Sun , Min Zhang , Huan Liang , Shuo Zhang , Peng-Jiao Wang , Xiu-Li Gao
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Abstract

The commercial value of cinnamon depends largely on its geographical origin. This study proposed high-performance liquid chromatography-diode array detection (HPLC-DAD) fingerprints combined with chemometrics to identify geographical origins of cinnamons. Alternating trilinear decomposition (ATLD) algorithm was applied to extract meaningful chemical information from the HPLC fingerprint data. Then, non-targeted HPLC fingerprints and chemical component information were used as chemical descriptors to distinguish geographical origins using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA)/N-way partial least squares-discriminant analysis (NPLS-DA). Satisfactory classification results were acquired for each discriminant model and the correct classification rates (CCRs) of training and test sets were 100%. Moreover, four characteristic variables were screened by variable importance in projection (VIP) method, three of which were reasonably identified as cinnamic acid, cinnamaldehyde and 2-methoxycinnamaldehyde, which can be regarded as potential markers to distinguish cinnamon from different geographical origins. The results indicated that HPLC-DAD fingerprints combined with chemometrics can be a promising means to identify the geographical origins and screen potential markers of cinnamon samples, especially in the absence of high-cost and sophisticated analytical instrumentals (e.g., high-resolution mass spectrometry and nuclear magnetic resonance spectroscopy). This work can help to prevent cinnamon fraud practices and maintain the normal order of the cinnamon market.

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利用 HPLC-DAD 指纹和化学计量学鉴定肉桂的地理来源
肉桂的商业价值在很大程度上取决于其地理产地。本研究提出了结合化学计量学的高效液相色谱-二极管阵列检测(HPLC-DAD)指纹图谱来识别肉桂的地理产地。应用交替三线性分解(ATLD)算法从高效液相色谱指纹数据中提取有意义的化学信息。然后,利用主成分分析法(PCA)和偏最小二乘判别分析法(PLS-DA)/N-路偏最小二乘判别分析法(NPLS-DA),将非目标 HPLC 指纹和化学成分信息作为化学描述符来区分地理产地。每个判别模型都获得了令人满意的分类结果,训练集和测试集的正确分类率(CCR)均为 100%。此外,利用投影重要度变量法(VIP)筛选了 4 个特征变量,其中 3 个被合理鉴定为肉桂酸、肉桂醛和 2-甲氧基肉桂醛,可作为区分不同产地肉桂的潜在标记物。研究结果表明,HPLC-DAD指纹图谱与化学计量学相结合是一种很有前途的方法,可用于识别肉桂样品的地理产地和筛选潜在标记物,尤其是在缺乏高成本和复杂的分析仪器(如高分辨率质谱仪和核磁共振光谱仪)的情况下。这项工作有助于防止肉桂欺诈行为,维护肉桂市场的正常秩序。
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上海源叶 cinnamic acid
上海源叶 cinnamaldehyde
上海源叶 coumarin
来源期刊
Microchemical Journal
Microchemical Journal 化学-分析化学
CiteScore
8.70
自引率
8.30%
发文量
1131
审稿时长
1.9 months
期刊介绍: The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field. Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.
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