Determination Of Protein Content Research Articles

Белковый азот как показатель определения степени стресса овса при почвенной засухе

Abstract. The purpose is to studying the response of oats to soil drought by the degree of change in the content of protein nitrogen in the leaves and identifying the most drought-resistant varieties for the breeding process. Methods. In the experiment, 40 varieties of oats were used, for which soil drought during tillering and flowering was artificially modeled. Determination of protein content in oat leaves was carried out on the twelfth day after the cessation of irrigation, using the Bradford reagent. Results. The reaction of oats to soil drought in the critical phases of ontogeny (tillering and flowering), expressed as a change in the protein content in the vegetative parts, was studied. On average for the collection, the protein content in tillering was 13.6 %, varying from 10.3 to 16.9 %. In flowering, this indicator decreased to 6.6–14.4 %. It was established that soil drought during the tillering period had a minimal impact on the varieties Assol’, Novosibirskiy 5, Ulov, KROSS, Fakel, Sig, Privet, Megion, Barguzin and Argument. The decrease in protein content in these varieties varied from 7.4 to 10.8 %. In the varieties Pesets, Uran, L’govskiy, Bulanyy, Tigrovyy, Ekspress, Dedal, Narymskiy 943, Pokrovskiy 9, Rovesnik and Borets, soil drought during tillering led to a decrease in the protein content in the leaves by 20.4–30.8 %. The varieties Sig, Ulov, KROSS, Chizh, Novosibirskiy 5, Megion and Fakel were the most resistant to drought during flowering. During the analysis of the data obtained, it was revealed that the varieties L’govskiy 82, Privet, Peredovik, Assol’, Ulov, Novosibirskskiy 5, and Sig reacted to a minimum degree to drought during tillering and flowering. Scientific novelty. The response to drought for 40 oat genotypes was established and the relationship between protein content and plant biomass was determined by the beginning of harvesting. The most promising genotypes for breeding drought-resistant oat varieties have been identified.

An Efficient Protein Extraction Method from Astragalus armatus Willd. Roots for Proteomic Analysis

Abstract The first step of the proteomic study is the extraction and the success of this technique was based mainly on the choice of the best extraction. The purpose of this study was to determine the simplest and lowest-cost method of total protein extraction. Initially, various extraction methods were performed for protein extraction from roots of Astragalus armatus Willd. The methods employed were extraction by RIPA buffer, hypotonic buffer and distilled water. After determination of protein concentration by Bradford method and SDS PAGE electrophoretic analysis, the quantity and quality of extracted proteins using different protocols from A. armatus were determined and compared. The protein yield of RIPA buffer method was higher than the yields of hypotonic buffer method and distilled water method. The best protein patterns were produced by RIPA buffer method. The extract obtained by RIPA buffer was the optimal protocol for protein extraction.

Biological evaluation of mangrove endophytic fungi Aspergillus terreus derived from Sonneratia alba

Mangroves represent highly diverse marine ecosystems, encompassing various vegetation such as shrubs, plants, trees, palms, and other plant forms that have adapted to thrive in both freshwater and saline environments. Within these mangrove ecosystems, secondary metabolites are present, contributing to various pharmacological functions and holding significant ecological importance. Endophytic fungi constitute a substantial and quantifiable portion of fungal biodiversity and are acknowledged for their impact on the composition and diversity of plant communities. This study aims to investigate the extracellular proteins and enzyme activity exhibited by endophytic fungi discovered in the leaves of Sonneratia alba mangroves collected in Buton, Southeast Sulawesi, Indonesia. The primary objective is to evaluate the compatibility of marine fungi with antibacterial and antioxidant activity. The research involves analyzing the biological activities of marine fungi containing cellulase enzyme through methods such as DNS for reducing sugar, protein concentration determination, antioxidant analysis, and total phenol content assessment. Sample A (shaker) has highest enzyme activity at Day 4 and Sample B has highest enzyme activity at Day 6 (static condition). The protein concentration in the purified cellulase from Aspergillus terreus surpassed that of crude enzyme extracts.

Determination of protein content in cooked foods consumed by toddlers aged 1-2 years in Sri Lanka

In early life, protein deficiency as well as heavy protein intake cause adverse conditions. Therefore, the present study aimed to assess the protein adequacy of diets in 1-2-year-old toddlers in the Alawwa Medical Officer of Health (MOH) area, Kurunegala, Sri Lanka. Data on food consumption was obtained by 24-hour dietary recall method from selected caregivers (n=60) andcommonly consumed foods (n=30) were cooked using household preparation protocols practiced in the area. They were homogenized and analyzed for protein. The majority of toddlers among the selected population consumed rice-based meals (73%) as the main meal (cooked rice with vegetable accompaniments), while 27% preferred mixed diets (a mixture of vegetables, pulses, leafy vegetables and fish along with rice). A serving of commercial cereal products provided the highest estimateddaily intake (EDI) of protein (10.70 ± 0.40 g). The average EDI of protein of all categories of foods per portion (rice, vegetables, pulses, green leaves, fish, eggs, rice mixtures and cereal products) was 31.55 ± 0.88 g, contributing to the recommended dietary allowance (RDA) of 242.64% and 150.17% for 1-2 year toddlers as defined by the Department of Agriculture, United States (USDA) and Sri Lankan RDA defined by Medical Research Institute (MRI), respectively. In conclusion, the cooked foods prepared according to local recipes fulfilled the dietary requirements of protein for toddlers aged 1-2 years in the Alawwa MOH area following USDA and Sri Lankan nutrition guidelines.
 Keywords: Estimated Daily Intake, Protein, Recommended Dietary Allowance, Toddlers

Standardization Studies of Momordica charantia Seed with Physicochemical and Preliminary Phytochemical Accounts

Momordica charantia Linn also known as Karela or bitter guard is commonly used vegetable of Cucurbitaceae family. Phytochemical constituent present in seeds contains oil, and sterols possesses the anti bacterial anti microbial and anti inflammatory properties which makes it one of the oldest plant used is natural Indian medicinal system. Present study was aimed to study organoleptic characterization, determination of moisture, total ash, acid-insoluble, water-soluble ash and protein contents, Loss on drying, heavy metals and microbial profile of Momordica charantia seed without seed coat. Furthermore qualitative test for secondary metabolites were performed for bitters, saponine, terpenoids, phenolic acids, glycosides, carbohydrates and reducing sugars were marked in preliminary tests. In final standardization extracts were taken for UV spectroscopy (at 270nm wavelength) at different concentrations against standard for quantitative analysis. After preparing different compositions mobile phase containing ethylene acetate: water: formic acid (7.7:1.3:0.9) was selected for TLC of chlorogenic acid marking in aqueous extract of Momordica charantia seed and gallic acid was run using mobile phase using toluene: formic acid: methanol (3.3: 0.8: 0.2) showed the presence of markers against standard. The plates were prepared and developed in mobile phase and Rf value was calculated. Photography of plates was done under UV visible mode. The above findings can be helpful in further research to reveal the reverse pharmacology of Momordica charantia seeds reported in traditional uses with significant way to design newer outcomes in diseases related with inflammatory and immune markers.

Determination of moisture and total protein and phosphorus contents in powdered chicken egg samples using digital images, NIR spectra, data fusion, and multivariate calibration

This work uses digital images, near-infrared (NIR) spectra, data fusion, and multivariate calibration to develop fast, non-laborious, and cheap methods for determining moisture and total protein and phosphorus contents in powdered chicken egg samples. These analyzed samples were obtained after breaking, homogenizing, lyophilizing, and pulverizing whole chicken eggs. Digital images were captured employing a scanner, while NIR spectra were recorded using benchtop and portable spectrometers. The proposed multivariate calibration methods were better in terms of correlation coefficient (r) and ratio performance deviation of prediction (RPD) for predicting total protein content using digital images (r = 0.995 and RPD = 9.55) than those obtained by benchtop and portable NIR spectra. On the other hand, in predicting moisture (r = 0.974 and RPD = 4.35) and total phosphorus content (r = 0.98 and RPD = 4.3), the benchtop NIR produced better results. The analytical performance of data fusion methods was slightly poorer than the best methods using preprocessed NIR spectra or digital images separately. Therefore, these proposed methods proved to be a good alternative tool for destructive chemical analysis, given that powdered chicken egg samples could be analyzed without using chemicals and without generating waste harmful to health and the environment, following the basic principles of Green Chemistry.

Exploiting the successive projections algorithm to improve the quantification of chemical constituents and discrimination of botanical origin of Argentinean bee-pollen

Bee-pollen as a functional food is gaining importance throughout the world because of its composition and biological properties. The protein content is one of the main parameters to determine its nutritional value, but it makes accurate labeling difficult due its high variability related to the botanical origin. Thus, this work employed near-infrared (NIR) spectroscopy and chemometrics to perform the quality control of Argentinean bee-pollen. Compared to full spectrum models, the successive projections algorithm (SPA) for selection of intervals or individual variables always achieved the best results for quantitative and qualitative approaches. For moisture and total protein content determinations, SPA coupled with partial least squares (iSPA-PLS) and multiple linear regression (SPA-MLR) achieved relative errors of prediction (REP) of 3.53% and 3.93%, respectively. For the pollen classifications, in terms of total protein content (as a dietary supplement with a cut-off higher than 20 g/100 g) and botanical origin, discriminant analysis by iSPA-PLS-DA achieved the best predictive abilities, misclassifying only one sample in the test set for both studies. The overall accuracies were 97.2% and 96.1%, respectively. Therefore, NIR spectroscopy combined with chemometrics can be used as an effective, fast, and low-cost tool for screening the quality of bee-pollen.

Proteomic Evolution from Acute to Post-COVID-19 Conditions.

Many COVID-19 survivors have post-COVID-19 conditions, and females are at a higher risk. We sought to determine (1) how protein levels change from acute to post-COVID-19 conditions, (2) whether females have a plasma protein signature different from that of males, and (3) which biological pathways are associated with COVID-19 when compared to restrictive lung disease. We measured protein levels in 74 patients on the day of admission and at 3 and 6 months after diagnosis. We determined protein concentrations by multiple reaction monitoring (MRM) using a panel of 269 heavy-labeled peptides. The predicted forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO) were measured by routine pulmonary function testing. Proteins associated with six key lipid-related pathways increased from admission to 3 and 6 months; conversely, proteins related to innate immune responses and vasoconstriction-related proteins decreased. Multiple biological functions were regulated differentially between females and males. Concentrations of eight proteins were associated with FVC, %, and they together had c-statistics of 0.751 (CI:0.732-0.779); similarly, concentrations of five proteins had c-statistics of 0.707 (CI:0.676-0.737) for DLCO, %. Lipid biology may drive evolution from acute to post-COVID-19 conditions, while activation of innate immunity and vascular regulation pathways decreased over that period. (ProteomeXchange identifiers: PXD041762, PXD029437).

Protective Effects of Danmu Extract Syrup on Acute Lung Injury Induced by Lipopolysaccharide in Mice through Endothelial Barrier Repair.

To investigate the effects of Danmu Extract Syrup (DMS) on lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice and explore the mechanism. Seventy-two male Balb/C mice were randomly divided into 6 groups according to a random number table (n=12), including control (normal saline), LPS (5 mg/kg), LPS+DMS 2.5 mL/kg, LPS+DMS 5 mL/kg, LPS+DMS 10 mL/kg, and LPS+Dexamethasone (DXM, 5 mg/kg) groups. After pretreatment with DMS and DXM, the ALI mice model was induced by LPS, and the bronchoalveolar lavage fluid (BALF) were collected to determine protein concentration, cell counts and inflammatory cytokines. The lung tissues of mice were stained with hematoxylin-eosin, and the wet/dry weight ratio (W/D) of lung tissue was calculated. The levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-6 and IL-1 β in BALF of mice were detected by enzyme linked immunosorbent assay. The expression levels of Claudin-5, vascular endothelial (VE)-cadherin, vascular endothelial growth factor (VEGF), phospho-protein kinase B (p-Akt) and Akt were detected by Western blot analysis. DMS pre-treatment significantly ameliorated lung histopathological changes. Compared with the LPS group, the W/D ratio and protein contents in BALF were obviously reduced after DMS pretreatment (P<0.05 or P<0.01). The number of cells in BALF and myeloperoxidase (MPO) activity decreased significantly after DMS pretreatment (P<0.05 or P<0.01). DMS pre-treatment decreased the levels of TNF-α, IL-6 and IL-1 β (P<0.01). Meanwhile, DMS activated the phosphoinositide 3-kinase/protein kinase B (PI3K/Akt) pathway and reversed the expressions of Claudin-5, VE-cadherin and VEGF (P<0.01). DMS attenuated LPS-induced ALI in mice through repairing endothelial barrier. It might be a potential therapeutic drug for LPS-induced lung injury.

Inhibitory mechanism of quercetin on Alicyclobacillus acidoterrestris.

In this the antibacterial of quercetin against Alicyclobacillus acidoterrestris was evaluated by measuring the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC). Subsequently, the effect of quercetin on A. acidoterrestris cell membrane was evaluated through scanning electron microscopy (SEM), surface hydrophobicity determination, diacetate fluorescein staining and propidium iodide (PI) staining. Additionally, the effects of quercetin on intracellular macromolecules and cell metabolism were explored by measuring the culture medium protein, bacterial protein and intracellular sodium and potassium adenosine triphosphate (ATP) enzyme activity. The results revealed that quercetin exhibited the MIC and MBC values of 100 ug/mL and 400 ug/mL, respectively, against A. acidoterrestris. The SEM results revealed that quercetin could induce irreversible damage to the cell membrane effectively. Moreover, quercetin could enhance the surface hydrophobicity of A. acidoterrestris. The results of flow cytometry and fluorescence microscopy analyses revealed that quercetin could promote cell damage by altering the cell membrane permeability of A. acidoterrestris, inducing the release of nucleic acid substances from the cells. Furthermore, the determination of protein content in the culture medium, bacterial protein content, and the Na(+)/K(+)-ATPase activity demonstrated that quercetin could reduce the intracellular protein content and impedes protein expression and ATPase synthesis effectively, leading to apoptosis.

Rapid determination of rice protein content using near-infrared spectroscopy coupled with feature wavelength selection

Protein content is a key indicator for rice nutritional value, and its accurate determination has become a necessary tool for rice quality evaluation and breeding. To solve the shortcomings of slow and costly testing by traditional methods, a rapid detection model of rice protein content was constructed based on near-infrared spectroscopy coupled with feature wavelength selection. The backward interval partial least squares (BiPLS) was combined with the genetic simulated annealing algorithm (GSA) and the simulated annealing binary particle swarm optimization algorithm (SABPSO), respectively, to construct BiPLS-GSA and BiPLS-SABPSO for selecting protein feature wavelengths, thereby establishing a corresponding partial least squares quantitative calibration model. Among them, the regression model established using feature wavelengths selected by BiPLS-SABPSO had the best performance. The determination coefficient of the model for the validation set and the independent test set were 0.949 and 0.956, the root mean square error were 0.174% and 0.214%, the relative root mean square error were 2.621% and 3.118%, and the residual predictive deviation being 4.235 and 4.500, respectively, which could meet the requirement for rapid and accurate determination of rice protein content. The combination of BiPLS-SABPSO and near-infrared spectroscopy has developed into a new method to achieve fast and reliable determination of rice protein content, providing an alternative strategy for rapid qualitative detection of related agricultural products.

A Comparative Study of Fourier Transform Near-Infrared Spectroscopy and Physicochemical Methods in Wheat Quality Analysis

Near-infrared spectroscopy is a non-invasive, rapid, and efficient analytical method widely employed in agricultural quality assessment. This study aims to explore the potential of Fourier transform near-infrared (FT-NIR) spectroscopy in the analysis of wheat quality in comparison to traditional physicochemical methods. Key quality parameters such as protein content, bulk density, dough extensibility, development and stability time, wet gluten, and extension area were considered. To compare the similarities between the two methods in an irregular manner and to make the trials more representative, randomized combinations of different samples were made by planting different wheat genotypes in different locations. In wheat protein determination (r = 0.92, p &lt; 0.001), the correlation between protein determinations was very high and highly statistically significant. This indicates that the Fourier transform near-infrared (FT-NIR) assay is highly consistent and accurate with the physicochemical method for protein determination. In the quality indices of bulk density (r = 0.46, p &lt; 0.05), dough extensibility (r = 0.46, p &lt; 0.05), development time (r = 0.37, p &lt; 0.05), stability time (r = 0.49, p &lt; 0.01), wet gluten (r = 0.54, p &lt; 0.01), and dough extension area (r = 0.63, p &lt; 0.001), there was a positive correlation between the two assays. Although the correlation was lower compared to the protein assay, it was still statistically significant. This suggests that the FT-NIR assay also has some accuracy in these indices, although there may be some differences from the physicochemical method. Through comparative analysis, we found that in wheat quality assessment, FT-NIR showed a strong correlation and was highly significant in the determination of wheat protein content; in the determination of the extension area, although highly significant, the correlation coefficient was not high, and there was a positive correlation between the two, and a lower correlation was shown in the bulk density, dough extensibility, and development time. These results indicate that FT-NIR can assess the wheat protein content quality indicator. However, its ability to accurately assess wheat quality indicators such as density, dough extensibility, development and stability time, wet gluten, and dough extensibility needs further investigation.

CHEMICAL AND PHYSICAL METHODS OF CHOCOLATE PROCESSING: ADMINISTRATION PROCESS

From the harvesting of the cocoa beans to the formulation of the final chocolate product many complex changes occur. The properties and behavior of the fat and the dramatic change in flow characteristics are most notable. The purpose of the work is to clarify the relationship between the types, composition, methods of preparation and consumption of chocolate and its impact on human health. In order to achieve the goal, we set the following work tasks: to get acquainted with the history of the origin of chocolate; to investigate the indicators of chocolate quality; evaluate informational, quantitative characteristics of chocolate; to determine the effect of chocolate on the human body, to conduct qualitative reactions to individual chemical substances included in the composition of chocolate. These changes occur in part during the refining process which includes roasting, winnowing, grinding and conching. Most notable in influencing the product is conching which is the agitation of chocolate coupled with aeration and heat. This treatment is a time and energy consuming process but has a remarkable mellowing effect on the flavor and promotes a decrease in viscosity of the final product. The escape of undesirable volatiles derived from oxidative and carbonyl reactions catalyzed by heat and aeration have been implicated. Research methods: study of literary and electronic media, generalization of the material found, sociological survey, chemical experiment, analysis of the obtained results. The physical effects brought about during conching encompass more than a simple mixing. Included, in addition to the chemico-physical aspects of conching itself, are the aspects of the cocoa bean, fermentation and roasting which may influence the product The scientific novelty of the obtained results: qualitative reactions were carried out on individual chemical substances included in the composition of chocolate. The methodological basis of the research is fundamental principles of the system approach, relevant aspects of market and technical research and state regulation of chocolate products studied with application economic-statistical and physico-chemical methods. It is used in the work the following methods of the developed product: statistical, organoleptic, method determination of protein content in the finished product, method of determining the indicator glycemic The composition of chocolate was theoretically investigated. In the perspective of further research, we plan to expand the assortment of porous chocolate due to the creation of new flavors (Ex. porous chocolate with caramel flavor, fruit flavors based on white chocolate mass).

MassSpecPreppy-An end-to-end solution for automated protein concentration determination and flexible sample digestion for proteomics applications.

In proteomics, fast, efficient, and highly reproducible sample preparation is of utmost importance, particularly in view of fast scanning mass spectrometers enabling analyses of large sample series. To address this need, we have developed the web application MassSpecPreppy that operates on the open science OT-2 liquid handling robot from Opentrons. This platform can prepare up to 96 samples at once, performing tasks like BCA protein concentration determination, sample digestion with normalization, reduction/alkylation and peptide elution into vials or loading specified peptide amounts onto Evotips in an automated and flexible manner. The performance of the developed workflows using MassSpecPreppy was compared with standard manual sample preparation workflows. The BCA assay experiments revealed an average recovery of 101.3% (SD:±7.82%) for the MassSpecPreppy workflow, while the manual workflow had a recovery of 96.3% (SD:±9.73%). The species mix used in the evaluation experiments showed that 94.5% of protein groups for OT-2 digestion and 95% for manual digestion passed the significance thresholds with comparable peptide level coefficient of variations. These results demonstrate that MassSpecPreppy is a versatile and scalable platform for automated sample preparation, producing injection-ready samples for proteomics research.

Determining superoxide dismutase content and catalase activity in mammalian cell lines

Traditional methods for determining superoxide dismutase (SOD) content and catalase (CAT) activity rely on measuring the absorbance of individual tissue (biological) samples using a cuvette and spectrophotometer, rather than cell cultures. Although there are kits available for SOD and CAT assays, these allow for high-throughput analysis of samples and might be too expensive for research laboratories in countries from the Global South, such as South Africa. This paper describes a simple and cost-effective method to determine SOD content and CAT activity in mammalian cell cultures following exposure to environmental chemical mixtures by measuring absorbance in 96-well microplates. Moreover, the equipment used for this method is considered standard for cell culture laboratories, while the reagents and consumables are easily obtainable.•Antioxidant enzyme levels can be measured in vitro in cell cultures.•The supernatant obtained can be used to determine protein concentration, SOD content, and CAT activity.•This method is simple and affordable, allowing for the analysis of multiple samples (up to 32 samples per microplate).

Microfluidic Analysis for the Determination of Protein Content in Different Types of Plant-Based Drinks.

The widespread consumption of plant-based drinks, driven by health and dietary reasons (including cow's milk allergy, lactose intolerance, milk protein intolerance, following a vegetarian or vegan diet) necessitates automated and accurate test methods. Our study demonstrates the simultaneous determination of protein components and total protein concentrations in plant-based milk alternatives using a rapid and reproducible microchip gel electrophoretic method. As expected, the electrophoretic profiles of each plant-based drink differed. Based on our analyses and statistical evaluation, it can be determined that the protein profiles of different plant-based beverages do not differ significantly between different manufacturers or different expiry dates. The measured total protein content was compared with the nominal values, i.e., the values stated on the beverage labels. As the number of consumers of functional and specialized plant-based milk alternatives continues to rise, it is important to prioritize methods that provide qualitative and quantitative information on protein composition and other nutrients.

An Excel fitting routine for correcting protein absorption spectra for scatter

Protein concentrations are often determined in a non-destructive manner by measuring the absorbance at 280 nm. However, light scattering in protein samples can complicate such assessment. We here describe a simple Excel Solver-based fitting routine to correct full protein UV absorption spectra for both Rayleigh and Mie scattering. Using samples displaying various degrees of natural and artificially induced scattering, we show that our multi-wavelength fitting method is not only capable of aiding in the determination of protein concentrations but can also be employed in the spectral analysis of protein structural changes that are accompanied by alterations in scatter intensity.

Potensi Ekstrak Enzim Daun Pepaya (Carica papaya L.) Sebagai Agen Fibrinolitik Dengan Metode Clot Lysis in Vitro

Stroke is a disease caused due to blockage of blood vessels. Health department in 2013 stated that 15,4% of people died from strokes. One of the treatment therapies that can be used is fibrinolytic. Fibrinolytic agents have a role in lysing blood clots, these agents can be obtained from microbes, plants and animals. This study aims to determine the protein content contained in papaya leaf enzyme extract (Carica papaya L.), and to determine the potential of the enzyme extract at certain concentrations as an alternative to natural fibrinolytic drugs. The study began with plant determination, sampling, enzyme extraction using a blender, purification of the extract by precipitation using ammonium sulphate, protein content determination using the Lowry method, and testing the fibrinolytic activity of the clot lysis method in vitro. Three series of test concentrations were made, namely 20, 40, and 80%. The results of the research on papaya leaf extract showed that the protein content in purification pellet 1 was 196,22 µg/ml and purification pellet 2 was 306,33 µg/ml. In papaya leaves, fibrinolytic activity was proven with the optimal percentage of blood clot lysis in purification pellet 2 with a concentration of 80% which was 79%.

Comprehensive Phytochemical Analysis and Bioactivity Evaluation of Padina boergesenii: Unveiling Its Prospects as a Promising Cosmetic Component.

Marine macroalgae, such as Padina boergesenii, are gaining recognition in the cosmetics industry as valuable sources of natural bioactive compounds. This study aimed to investigate the biochemical profile of P. boergesenii and evaluate its potential as a cosmetic ingredient. Fourier-transform infrared (FTIR), gas chromatography-mass spectrometry (GCMS), and high-resolution liquid chromatography-mass spectrometry quadrupole time-of-flight (HRLCMS QTOF) analyses were employed to assess the functional groups, phycocompounds, and beneficial compounds present in P. boergesenii. Pigment estimation, total phenol and protein content determination, DPPH antioxidant analysis, and tyrosinase inhibition assay were conducted to evaluate the extracts' ability to counteract oxidative stress and address hyperpigmentation concerns. Elemental composition and amino acid quantification were determined using inductively coupled plasma atomic emission spectrometry (ICP-AES) and HRLCMS, respectively. FTIR spectroscopy confirmed diverse functional groups, including halo compounds, alcohols, esters, amines, and acids. GCMS analysis identified moisturizing, conditioning, and anti-aging compounds such as long-chain fatty alcohols, fatty esters, fatty acids, and hydrocarbon derivatives. HRLCMS QTOF analysis revealed phenolic compounds, fatty acid derivatives, peptides, terpenoids, and amino acids with antioxidant, anti-inflammatory, and skin-nourishing properties. Elemental analysis indicated varying concentrations of elements, with silicon (Si) being the most abundant and copper (Cu) being the least abundant. The total phenol content was 86.50 µg/mL, suggesting the presence of antioxidants. The total protein content was 113.72 µg/mL, indicating nourishing and rejuvenating effects. The ethanolic extract exhibited an IC50 value of 36.75 μg/mL in the DPPH assay, indicating significant antioxidant activity. The methanolic extract showed an IC50 value of 42.784 μg/mL. Furthermore, P. boergesenii extracts demonstrated 62.14% inhibition of tyrosinase activity. This comprehensive analysis underscores the potential of P. boergesenii as an effective cosmetic ingredient for enhancing skin health. Given the increasing use of seaweed-based bioactive components in cosmetics, further exploration of P. boergesenii's potential in the cosmetics industry is warranted to leverage its valuable properties.

Optimum pH Buffer of Phosphate and Carbonate on The Crude Extraction of Uricase Enzyme from Goat Liver

Uricase enzyme (urate oxidase) is an enzyme that catalyze the oxidation of uric acid in the presence of oxygen to produce allantoin, carbon dioxide (CO2) and hydrogen peroxide (H2O2). Human and primates do not have this enzyme while other mammals have it in the liver therefore the uricase enzymes are extracted from goat liver use a buffer that is compatible with the human buffer system. The type of buffer selected adjusted at the appropriate pH. The optimum uricase pH ranged from 7.5 to 9.5. The selection of buffer type is adjusted to the human buffer system. The purpose of the study was to determine the effect of the type and pH of the extraction buffer on the total activity, protein total and specific activity of crude uricase. The types of buffer selected are phosphate buffer and carbonate buffer, while the selected pH is 7.5; 8.5; and 9.5. The method used is enzyme extraction, then determination of enzyme activity and protein content to determine the specific activity of the enzyme. The results obtained the highest total enzyme activity at pH 8.5 both in carbonate buffer (0.0481 U/mL) and phosphate buffer (0.0383 U/mL). The highest protein total in carbonate buffer was at pH 9.5 (4.55 mg/mL) while the highest value was in phosphate buffer pH 8.5 (4.1 mg/mL). The specific activity of uricase pH 8.5 was carbonate buffer (0.0114 U/mg) and phosphate buffer (0.0094 U/mg). The highest uricase specific activity value was at pH 8.5 for both carbonate and phosphate buffer types and in the long term it is used as a gout therapy.