Classification of Romanian medicinal plant extracts according to the therapeutic effects using thin layer chromatography and robust chemometrics (Record no. 54076)

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003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625162440.0
040 ## - CATALOGING SOURCE
Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19971
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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245 10 - TITLE STATEMENT
Title Classification of Romanian medicinal plant extracts according to the therapeutic effects using thin layer chromatography and robust chemometrics
490 0# - SERIES STATEMENT
Volume/sequential designation Journal of Pharmaceutical and Biomedical Analysis, 163, p.137-143, 2019
520 3# - SUMMARY, ETC.
Summary, etc. Thin layer chromatography in combination with image analysis and advanced chemometric methods were successfully used to classify the medicinal herbs according to their therapeutic effects and usage. The investigations were conducted using two types of plates (HPTLC Silica gel 60 and HPTLC Silica gel 60 F254)which were evaluated in UV light at 254 and 365?nm. The holistic evaluation of the numerical data corresponding different image processing channels (blue, grey, red, green)was performed by employing appropriate multivariate methods: hierarchical cluster analysis (HCA), principal component analysis (PCA), fuzzy principal component analysis (FPCA)and linear discriminant analysis (LDA)applied to the first relevant principal components. The results obtained by applying LDA method indicate a highly accurate separation of the medicinal herbs within the four groups, in good agreement with therapeutic effects and usage. According to this classification, the best image processing channels were identified for each of the investigated HPTLC plates: blue channel for HPTLC Silica gel 60 F254 (with 92.9 percent percent of discrimination in case of PCA and FPCA)and respectively red channel for HPTLC Silica gel 60 (with 93.9 percent percent of discrimination in case of FPCA). The 2D and 3D score scatterplots illustrate also the accurate and reliable discrimination between the four distinct groups.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MEDICINAL PLANTS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element THERAPEUTIC EFFECTS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHEMOMETRICS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element THIN LAYER CHROMATOGRAPHYA
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Simion, I. M.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Casoni, D.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Sârbu, C.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1xOOjBwj7_ILHA1YUR17-nDzYKTc_yvKI/view?usp=drivesdk">https://drive.google.com/file/d/1xOOjBwj7_ILHA1YUR17-nDzYKTc_yvKI/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19971 25.06.2025 25.06.2025 Documentos solicitados