Multivariate look at the TLC retention: A concise review

Komsta, Łukasz

doi:10.1080/10826076.2016.1163170

Cited by 9 publications

(5 citation statements)

References 101 publications

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“…The results were observed under UV 254 nm. Acetaminophen standard spots and aching rheumatic pain Jamu samples can be seen at UV 254 nm due to the interaction between UV rays and the indicator on the plate, which is silica gel F254 (Komsta, 2016)). The plate will glow in UV light 254, while the spots area will cover the light emitted by the plate so that the spots can be found (Ferey et al, 2017;Sherma & Rabel, 2018).…”

Section: Results and Discussion Thin Layer Chromatography (Tlc) Ident...mentioning

confidence: 99%

The Type Fragmentation Patterns Confirmed Acetaminophen By Using Liquid Chromatography-Mass Spectroscopy (LCMS) From Herbal Medicine (Jamu)

Taupik

Djuwarno

Mustapa

et al. 2022

EKW

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The Jamu or herbal medicine were adulterated with chemical drugs in the last twenty years. One of the chemical drugs that are commonly added to herbal medicine is acetaminophen. Acetaminophen is generally considered an analgesic-antipyretic drug. The research aims to identify the content of paracetamol and its amount added to the jamu. This study consisted of 6 jamu or herbal medicine samples with different brands. The TLC method conducted the qualitative analysis using the mobile phase n-hexane: ethyl acetate (1:1). Three positive samples containing acetaminophen were obtained: D, E, and F. The three positive samples containing acetaminophen were calculated using the LCMS method. Quantitative analysis was conducted with LCMS using a reversed-phase with a mobile phase of acetonitrile: water (15%>: 85%> v/v) at a flow rate of 0.2 mL/min and an injection volume of 5 µL, it was obtained the levels of acetaminophen in sample D as much as 0.16 g/2 g of sample, in sample E of 0.63 g/7 g of sample, and sample F of 0.56 g/7 g of sample. Although the acetaminophen content in herbal medicine is relatively small, according to the Regulation of the Minister of Health of Indonesia No. 007 of 2012, traditional medicine or herbal medicine should not contain synthetic chemicals.Abstrak: Dalam dua puluh tahun terakhir, banyak jamu yang dipalsukan dengan obat-obatan kimia. Salah satu obat kimia yang biasa ditambahkan pada jamu adalah asetaminofen. Acetaminophen umumnya dianggap sebagai obat analgesik-antipiretik. Penelitian ini bertujuan untuk mengetahui kandungan parasetamol dan jumlah yang ditambahkan pada jamu. Sampel penelitian ini terdiri dari 6 sampel jamu dengan merek yang berbeda. Analisis kualitatif dilakukan dengan metode KLT menggunakan fase gerak n-heksana: etil asetat (1:1). Diperoleh tiga sampel positif mengandung asetaminofen, yaitu sampel D, E, dan F. Tiga sampel positif mengandung asetaminofen dihitung menggunakan metode LCMS. Analisis kuantitatif dilakukan dengan LCMS menggunakan fase terbalik dengan fase gerak asetonitril: air (15%>:85%> v/v) pada laju alir 0,2 mL/menit dan volume injeksi 5 µL. Diperoleh kadar asetaminofen pada sampel D sebanyak 0,16 g/2 g sampel, pada sampel E sebesar 0,63 g/7 g sampel, dan pada sampel F sebesar 0,56 g/7 g sampel. Meskipun kandungan asetaminofen dalam jamu relatif sedikit, namun menurut Peraturan Menteri Kesehatan RI No. 007 Tahun 2012, obat tradisional atau jamu tidak boleh mengandung bahan kimia sintetik.

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Section: Results and Discussion Thin Layer Chromatography (Tlc) Ident...mentioning

confidence: 99%

The Type Fragmentation Patterns Confirmed Acetaminophen By Using Liquid Chromatography-Mass Spectroscopy (LCMS) From Herbal Medicine (Jamu)

Taupik

Djuwarno

Mustapa

et al. 2022

EKW

View full text Add to dashboard Cite

show abstract

“…This type of analysis is commonly used as it is simple and reveals the internal structures of the data set in a way that best describes the variance in the data set. The places as much information as possible in first variables PCs (Komsta, 2016). Scores (new coordinates of the projected objects) and loadings (direction with respect to the original variables) are used for the PC description.…”

Section: Discussionmentioning

confidence: 99%

“…The data are projected into a few principal components (PCs) that present linear combinations of the original variables. PCA preserves total decorrelation of original variables (PCs are always uncorrelated) and places as much information as possible in first variables PCs (Komsta, ). Scores (new coordinates of the projected objects) and loadings (direction with respect to the original variables) are used for the PC description.…”

Section: Methodsmentioning

confidence: 99%

Toward consistent discrimination of common bean (Phaseolus vulgarisL.) based on grain coat color, phytochemical composition, and antioxidant activity

Banjac

Kоvаčеvić

Horecki

et al. 2019

J Food Process Preserv

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In this paper, 52 common bean (Phaseolus vulgaris L.) genotypes were analyzed regarding their phytochemical composition and antioxidant activity, as well as other characteristics (grain coat color, grain size, and growth size). The total phenols content (TPC), determined according to the Folin–Ciocalteu method, varied from 0.166 to 0.772 mg/100 g DM, while total flavonoids content (TFC), determined by aluminum chloride colorimetric assay, varied from 4.861 to 161.861 mg/100 g DM. Antioxidant activity was assessed by 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) scavenging capacity and ranged from 1.419 to 12.917 mg/ml. The antioxidant activity was predicted using multiple linear regression (MLR). The obtained results revealed certain influence of grain coat color on common bean phytochemical composition and antioxidant activity that was confirmed throughout classification method—principal component analysis (PCA). White grain coat color samples were distinguished from colored ones on the basis of their phytochemical composition and antioxidant activity. Practical applications The antioxidant activity of 52 common bean (Phaseolus vulgaris L.) genotypes was predicted using MLR. A certain influence of grain coat color on common bean phytochemical composition and antioxidant activity was detected applying classification chemometric techniques.

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“…The retention is explained as a function of various chromatographic conditions. Although the idea is rather old , the retention datasets are continuously explored by advanced data mining techniques . These techniques allow us to find, extract, and interpret some trends in the retention, which are hidden for chromatographer looking at the data tables or simple retention graphs .…”

Section: Introductionmentioning

confidence: 99%

Trilinear analysis of thin-layer chromatography retention of 35 model compounds chromatographed on nine adsorbents with 20 pure solvents

et al. 2016

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The R value dataset of 35 model compounds, chromatographed with 20 pure solvents as the mobile phase each on nine adsorbents: RP2, RP8, RP18, alumina, cellulose, CN, DIOL, NH , and silica, was subjected to trilinear analysis with parallel factor analysis. The two-factor optimal model explained 87% of total information in this complex dataset. The first obtained score (trend) represents two features: the presence of hydrogen bonding and heteroatoms of solute and the mean elution force of the solvent. The second trend represents molecule size, aromaticity, and number of carbons, interconnected with presence of chlorine in mobile phase. The correlation between the scores and molecular descriptors were checked to interpret these trends quantitatively. The scores of adsorbents were slightly intercorrelated, showing NH , alumina, and cellulose as outliers from main adsorbents cloud. The obtained results suggest that molecular size and aromaticity, connected with chlorine atoms in mobile phase, is the second source of retention variability.

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Multivariate look at the TLC retention: A concise review

Cited by 9 publications

References 101 publications

The Type Fragmentation Patterns Confirmed Acetaminophen By Using Liquid Chromatography-Mass Spectroscopy (LCMS) From Herbal Medicine (Jamu)

The Type Fragmentation Patterns Confirmed Acetaminophen By Using Liquid Chromatography-Mass Spectroscopy (LCMS) From Herbal Medicine (Jamu)

Toward consistent discrimination of common bean (Phaseolus vulgarisL.) based on grain coat color, phytochemical composition, and antioxidant activity

Trilinear analysis of thin-layer chromatography retention of 35 model compounds chromatographed on nine adsorbents with 20 pure solvents

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