<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kartini Kartini</style></author><author><style face="normal" font="default" size="100%">Ervina Rustiana Dewi</style></author><author><style face="normal" font="default" size="100%">Fandi Achmad</style></author><author><style face="normal" font="default" size="100%">Nikmatul Ikhrom Eka Jayani</style></author><author><style face="normal" font="default" size="100%">Mochammad Arbi Hadiyat</style></author><author><style face="normal" font="default" size="100%">Christina Avanti</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Thin Layer Chromatography Fingerprinting and Clustering of Orthosiphon stamineus Benth. from Different Origins</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacognosy Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Geographical origin</style></keyword><keyword><style  face="normal" font="default" size="100%">Herbal medicine</style></keyword><keyword><style  face="normal" font="default" size="100%">Marker</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal Component Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Quality</style></keyword><keyword><style  face="normal" font="default" size="100%">TLC</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February  2020</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">79-87</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Introduction:&lt;/strong&gt; &lt;em&gt;Orthosiphon stamineus&lt;/em&gt; has been widely used across Asian countries for the treatment of various diseases. The quality of herbal medicine determine its safety as well as efficacy; and geographical origin is important factor contributing on the quality of herb and its products. &lt;strong&gt;Materials and Methods:&lt;/strong&gt; Thin Layer Chromatography (TLC) method combined with chemometric, Principal Component Analysis (PCA), has been employed to evaluate the quality of &lt;em&gt;Orthosiphon stamineus&lt;/em&gt; leaves collected from eleven origins in Indonesia.&lt;strong&gt; Results:&lt;/strong&gt; The results showed that mobile phase suitable for &lt;em&gt;Orthosiphon stamineus&lt;/em&gt; was chloroform, dichloromethane, ethyl acetate (7:4:1). The method used has met the requirements of TLC system stability and precision. TLC-fingerprints analyzed with chemometrics showed an ability to discriminate &lt;em&gt;Orthosiphon stamineus&lt;/em&gt; from various origins. PCA score plot of the first two principal components (PC) clearly distinguished 3 clusters of samples, whereas the loading plot of the first two PC showed that compounds with the Rf values of 0.0-0.1, 0.1-0.2, 0.2-0.3, and 0.9-1.0 are the most important compounds for clustering of samples. &lt;strong&gt;Conclusions:&lt;/strong&gt; TLCfingerprint combined with the PCA was able to discriminate among the leaves of &lt;em&gt;Orthosiphon stamineus&lt;/em&gt; originated from various locations. TLC-fingerprints analyzed with chemometrics can be used as an alternative of marker-oriented method to evaluate the quality of &lt;em&gt;Orthosiphon stamineus.&lt;/em&gt;&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Original Article</style></work-type><section><style face="normal" font="default" size="100%">79</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Kartini Kartini&lt;sup&gt;1,&lt;/sup&gt;*, Ervina Rustiana Dewi&lt;sup&gt;1&lt;/sup&gt;, Fandi Achmad&lt;sup&gt;1&lt;/sup&gt;, Nikmatul Ikhrom Eka Jayani&lt;sup&gt;1&lt;/sup&gt;, Mochammad Arbi Hadiyat&lt;sup&gt;2&lt;/sup&gt;, Christina Avanti&lt;sup&gt;3&lt;/sup&gt; &lt;/strong&gt;&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;1&lt;/sup&gt;Department of Pharmaceutical Biology, Faculty of Pharmacy, University of Surabaya, Raya Kalirungkut Road, Surabaya 60293, INDONESIA.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;2&lt;/sup&gt;Department of Industrial Engineering, Faculty of Engineering, University of Surabaya, Raya Kalirungkut Road, Surabaya 60293, INDONESIA.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;3&lt;/sup&gt;Department of Pharmaceutic, Faculty of Pharmacy, University of Surabaya, Raya Kalirungkut Road, Surabaya 60293, INDONESIA.&lt;/p&gt;
</style></auth-address></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alkasim Kabiru Yunusa</style></author><author><style face="normal" font="default" size="100%">Zalilawati Mat Rashid</style></author><author><style face="normal" font="default" size="100%">Nashriyah Mat</style></author><author><style face="normal" font="default" size="100%">Che Abdullah Abu Bakar</style></author><author><style face="normal" font="default" size="100%">Abdul Manaf Ali</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Chemicals and Bioactivity Discrimination of Syconia of Seven Varieties of Ficus deltoidea Jack via ATR-IR Spectroscopic-Based Metabolomics</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacog Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Alpha-glucosidase Inhibition</style></keyword><keyword><style  face="normal" font="default" size="100%">antioxidant activity</style></keyword><keyword><style  face="normal" font="default" size="100%">Fourier Transform Infra-red Spectroscopy</style></keyword><keyword><style  face="normal" font="default" size="100%">Orthogonal Partial Least Square Discriminant Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal Component Analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November 2018</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">s147-s151</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;strong&gt;Introduction:&lt;/strong&gt;&lt;em&gt; Ficus deltoidea&lt;/em&gt; is one of the common Malaysian medicinal plants and currently commercialized as raw ingredients in some local food products. However, those products do not discriminate the varieties of &lt;em&gt;Ficus deltoidea&lt;/em&gt; used. &lt;strong&gt;Methods:&lt;/strong&gt; FTIR-based metabolomics coupled with chemometric technique was applied to discriminate chemical components in ethanolic extracts of syconia of seven varieties of &lt;em&gt;Ficus deltoidea&lt;/em&gt; namely; var. &lt;em&gt;deltoidea&lt;/em&gt;, var. &lt;em&gt;trengganuensis&lt;/em&gt;, var. &lt;em&gt;kunstleri&lt;/em&gt;, var. &lt;em&gt;angustifolia&lt;/em&gt;, var. &lt;em&gt;bilobata&lt;/em&gt;, var. &lt;em&gt;intermedia&lt;/em&gt; and var. &lt;em&gt;motleyana&lt;/em&gt;. Unsupervised multivariate data analysis (MVDA) including principal component analysis (PCA) was used as to evaluate chemical variability among the seven varieties. For discrimination, orthogonal partial least square discriminant analysis (OPLS-DA) was applied, while partial least square (PLS) was used to evaluate the relationship between the alpha-glucosidase inhibition, antioxidant activity and&lt;em&gt; Ficus deltoidea&lt;/em&gt; varieties. &lt;strong&gt;Results:&lt;/strong&gt; As a result, OPLS-DA successfully discriminated the seven varieties. The FTIR fingerprints which were responsible for the discrimination includes 1729, 1705, 1448, 1095, 453, 443 cm-1. In addition, PPLS model demonstrated the correlation between var. &lt;em&gt;kunstleri&lt;/em&gt;, var. &lt;em&gt;deltoidea&lt;/em&gt; and var. intermedia respective chemicals fingerprints and their bioactivity (DPPH, FRAP and &amp;alpha;-glucosidase inhibition). &lt;strong&gt;Conclusion:&lt;/strong&gt; The findings revealed that FTIR spectroscopy, in combination with MVDA, can be used for structural functional discrimination in relation to the sample bioactivity.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">6s</style></issue><work-type><style face="normal" font="default" size="100%">Original Article</style></work-type><section><style face="normal" font="default" size="100%">s147</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;strong&gt;Alkasim Kabiru Yunusa&lt;sup&gt;1,4&lt;/sup&gt;, Zalilawati Mat Rashid&lt;sup&gt;*1,2&lt;/sup&gt;, Nashriyah Mat&lt;sup&gt;1&lt;/sup&gt;, Che Abdullah Abu Bakar&lt;sup&gt;1&lt;/sup&gt;, Abdul Manaf Ali&lt;sup&gt;1,2,3 &lt;/sup&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;sup&gt;1&lt;/sup&gt;Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, MALAYSIA.&lt;/p&gt;
&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;sup&gt;2&lt;/sup&gt;Institute of Agricultural Production and Food Innovation (AGROPOLIS), Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, MALAYSIA.&lt;/p&gt;
&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;sup&gt;3&lt;/sup&gt;Natural Medicine Research Centre, Universiti Islam Malaysia, 63000 Cyberjaya, Selangor, MALAYSIA.&lt;/p&gt;
&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;sup&gt;4&lt;/sup&gt;Department of Food Science and Technology, Kano University of Science and Technology Wudil, Kano State NIGERIA.&lt;/p&gt;</style></auth-address></record></records></xml>