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Centella asiatica, or pegagan in Indonesia, is a perennial plant used in Indonesian traditional medicine (jamu) and functional food with many biological activities. Those biological activities come from the bioactive metabolites present in C. asiatica. Differences in metabolite pathways in each part of the plant affect the accumulation of metabolites contained, thus impacting its biological activity. Therefore, this study aims to identify and evaluate differences in the distribution of metabolites in each part of C. asiatica, namely leaves, stems, stolons, and roots. Each plant part was extracted using methanol and sonicated for 30 minutes. The metabolites in the samples were separated and detected using UHPLC-Q-Orbitrap HRMS. Differences in the distribution of metabolites in each part of the plant were evaluated using chemometrics analysis. UHPLC-Q-Orbitrap HRMS analysis could positively identify 37 metabolites, most of which belong to the phenylpropanoid, triterpenoid, triterpenoid saponin, and flavonoid groups. Principal component analysis was able to clearly distinguish each part of the plant using the peak intensity of the overall chromatogram and the peak area of the identified metabolites. The different biosynthetic pathways of metabolites in plants could cause a difference in the distribution of metabolites in each plant.

Information about the chemical structure of the phosphorus (P) fraction in sediments is very important for identifying the bioavailability of P and eutrophication in marine ecosystems. Sediment as a source of P has an important function in P adsorption in waters. To estimate the phosphorus load in water bodies, it is required to define the fraction of phosphorus compounds. This study purposed to evaluate the composition of phosphorus speciation in sediments of Kendari Bay and evaluate their possible contributions to the eutrophication of the coastal ecosystem. P fractionation was examined by chemical extraction and sequencing methods. Sediment characterization was conducted by gravimetry, hydrometry, and spectrophotometry methods. The study result found the total P concentration in the sediment ranged from 0.30 to 0.41 mg/g. Phosphorus content in exchangeable P (Exc-P), Fe-P, Al-P, Ca-P, and organic P (OP) contributed 1.8%, 12.7%, 1.5%, 63.1%, and 21.5% of total P (TP), respectively. We found significant positive correlations between Exc-P, FeP, Al-P, and OP and finer sediment and organic matter. Exc-P and OP are bioavailability (BAP) fractions that potentially release overlying water, contributing 10–35% to TP.

Sida rhombifolia, also known as sidaguri in Indonesia, is a medicinal plant commonly used as a herbal medicine because of its metabolite and biological activities. One of the several factors that affect plant metabolite composition and concentration is the use of plant parts. In this study, the experiment aimed to identify the metabolite profile in the leaves and stem extracts of S. rhombifolia using UHPLC-Q-Orbitrap HRMS-based untargeted metabolomics. The samples were distinguished by principal component analysis (PCA). Extraction of metabolites was conducted by sonication for approximately 30 min with 70% ethanol as the extraction solvent; 28 metabolites were identified. Seven metabolites were identified only in the leaves, three were identified only in the stems, and 18 other metabolites were identified in both the leaves and stems. These metabolites were categorized as flavonoids, triterpenoids, alkaloids, coumarins, phenolic aldehydes, phenolic acids, ecdysteroids, fatty acids, and monoterpene lactones. Based on the classification results, PCA grouped the leaves and stem extracts of S. rhombifolia using the peak area variables of the identified metabolites.

Fish has two chemical sensory/receptor systems that smell (olfactory) and taste (gustatory) odor that adapt to the specific substance of the environment. In general, olfactory is similar to nasal organs for human nostrils. The olfactory receptors detect chemical stimuli in the form of electrical signals. Based on the ability of fish that can respond to chemical stimuli through the sense of smell, a substance can be used to attract the attention of fish. In response to this reality, AFA (Amino Acid Fish Aggregation) can be developed as a fish collecting tool to attract fish bu using amino acid preparation that works though the sense of smell and taste of fish. The objectives of this study were to design and produce a prototype of Amino Acid Fish Aggregation (AFA), to determine the productivity of catches of raft lift net by using AFA, and to calculate the length of the weight of the catch using AFA. The data used were catch data with weights and lengths of fish catch by raft lift net using AFA. The results showed that the AFA prototype which had a size of p x l x t : 35 x 22 x 15 cm and the highest catches was found at 18.00-00.00 WIB by using AFA with raft lift net. The catches using AFA in Palabuhanratu waters amounted to 5 types of fish, namely stolephorus sp., sardinella sp., rastrelliger kanagurta, euthynnus affinis, trichiurus sp., and positive allometrics were found in rastrelliger kanagurta and anchovy, but negative allometrics were found in euthynnus affinis, sardinella sp., and trichiurus sp.

Efficacy and quality of medicinal plant extracts depend on chemical composition therein. Therefore, to ensure its efficacy orquality, the chemical composition of extracts have to be analyzed based on its chemical marker or its chemical pattern. This study tried to develop a method for extracts quality assay based on infrared spectrum in fingerprint region and extracts inhibition activity to xanthine oxidase. Five extracts from kunyit (Curcuma domestica), temulawak ( C xanthorriza), jahe (Zingiber officina/e), temukunci (Boesenbergia pandurata), and cabe jawa (Piper retrofractum) were tested to inhibit xanthine oxidase activity. The bioactive data of extracts and its infrared spectrum was analyzed using PCA and PLS-DA (partial least squarediscriminant analysis). Almost all extracts that were tested showed inhibition activity to xanthine oxidase activity, except the extract of jahe. The result showed that PCA can group all of extract into each of their region. Meanwhile, PLS-DA has shown to be a good prediction model for classifying extracts based on fingerprint region of its mR Spectrum and its biological activity