02 آذر 1403

غلامرضا عبدی

مرتبه علمی: استادیار
نشانی: پژوهشکده خلیج فارس - گروه زیست فناوری
تحصیلات: دکترای تخصصی / بیوتکنولوژی گیاهان دارویی
تلفن: -
دانشکده: پژوهشکده خلیج فارس

مشخصات پژوهش

عنوان Authentication and identification of Lamiaceae family with cyclic voltammetry fingerprint-PCA-LDA and determination of the used phenolic contents for classification using chromatographic analyses
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
Lamiaceae Cyclic voltametric fingerprints Authentication Differentiation PCA-LDA HPLC GC
مجله TALANTA
شناسه DOI https://doi.org/10.1016/j.talanta.2023.124894
پژوهشگران مریم عباسی طریقت (نفر اول) ، غلامرضا عبدی (نفر دوم) ، قرشته عباسی (نفر سوم) ، کوثر شاه محمدی بیاتیانی (نفر چهارم)

چکیده

Todays, it is essential to evaluate and check the quality of herbal medicines in to protect the public health. As medicinal plants, the extracts of labiate herbs are used directly or indirectly to treat a variety of diseases. Increase in their consumption has led to the fraud in herbal medicines. Hence, modern accurate diagnostic methods must be introduced to differentiate and authenticate these samples. Electrochemical fingerprints have not been evaluated for their capacity to distinguish and classify various genera within a family. Since it is essential to classify, identify, and distinguish between these closely related plants in order to guarantee the quality of the raw materials, the authenticity and quality of 48 dried and fresh Lamiaceae samples, which include Mint, Thyme, Oregano, Satureja, Basil, and Lavender with various geographic origins, were examined. The present study focused on (a) classification and authentication Labiate herbs extracts and (b) identification of active compounds in samples by Gas chromatography and HPLC methods. This was accomplished using principal component analysis (PCA) and PCA-linear discriminate analysis (PCA-LDA). The results of the clustering revealed that PCA-LDA categorized mint species more accurately than PCA. In addition to certain flavonoids including ferulic acid, apigenin, luteolin, and quercetin, HPLC and GC analysis of the ethanolic extract revealed the presence of phenolic acids such as rosmarenic acid, methyl rosmarenate, caffeic acid, cinnamic acid, and chlorogenic acid. Comparing results of PCA-LDA with chromatographic analysis show that the authentication and detection of fraud samples were correctly performed using chemometyrics technique based on CV fingerprints. Even, there was no need to completely identify components of the mint samples.