Major Chemical Composition Research Articles

Characterization of zein nanofiber mats encapsulated with Foeniculum vulgare and Carum carvi essential oils as active packaging materials

This study aimed to encapsulate Foeniculum vulgare and Carum carvi essential oils (FVO and CCO) into the zein (ZN) nanofibers using an electrospinning technique and examine their application in retarding the growth of bacterial pathogens in ground beef meat during refrigerated storage conditions. The main fractions of FVO included trans-anethole (37.98%), α-fellandrene (15.09%), fenchone (10.58%), and tarragon (7.58%). CCO's major chemical compositions were also identified as α-terpinene (19.67%), α-terpinene-7-al (18.86%), p-menthatriene (16.90%), and cuminaldehyde (15.96%). The Fourier transform infrared spectroscopy analysis verified the molecular interaction between FVO/CCO and the ZN polymer. The thickness, tensile strength, elongation at break, and water vapor permeability of the nanofiber mats were in the range of 0.20–0.22 mm, 6.01–9.22 MPa, 5.57%–10.78%, and 1.05–2.72 × 10‾14 kg m/m2 s Pa, respectively. The initial count of 5 log CFU/g of Staphylococcus aureus, Listeria monocytogenes, and Yersinia enterocolitica in ground beef meat packaged with ZN + FVO 1 mL/100 mL + CCO 1 mL/100 mL nanofiber mats, as the best group, reached <1.00, 2.52, and 3.13 log CFU/g, respectively, at the end of the study (day 10), suggesting that the designated nanofiber mats can be utilized for antimicrobial food packaging applications.

A study on anticancer and antioxidant ability of selected brown algae biomass yielded polysaccharide and their chemical and structural properties analysis by FT-IR and NMR analyses

The study was conducted to determine the chemical and structural properties of polysaccharides extracted from the marine macroalgae Nemalion cari-cariense. Furthermore, evaluate the anticancer and free radical scavenging activity of purified N. cari-cariense polysaccharide. Approximately 41.6% (w/w) of crude polysaccharide was extracted from N. cari-cariense macroalgae biomass. After deproteinization, the purified polysaccharide's major chemical composition was found to be 92.6%, with all protein content removed. The purified polysaccharide had ash and moisture % of 23.01% and 4.03%, respectively. The C, H, and N of the test polysaccharide were analyzed using GC-MS, with results of 39.21%, 5.87%, and 4.29%, respectively. Furthermore, this analysis also revealed the monosaccharide composition such as glucose, galactose, mannose, xylose, and rhamnose glucose, galactose, mannose, xylose, and rhamnose 54.62%, 29.64%, 2.8%, 5.9%, and 6.8% respectively. The molecular weight of purified polysaccharide was found as 49 kDa through PAGE analysis. The FT-IR analysis revealed that the presence of functional groups exactly attributed to polysaccharide and 1H and 13C-NMR analyses confirmed the structural properties of N. cari-cariense polysaccharide. The free radicals scavenging ability of purified N. cari-cariense polysaccharide was investigated by various assays such as total antioxidant assay (22.3%–72.5% at 50–250 μg mL−1), DPPH assay (23.6%–76.9% at 10–160 μg mL−1), OH radical scavenging assay (13.6%–70.2% at 50–250 μg mL−1 dosage, and SO radical scavenging assay (27.6–68.41% at 50–250 μg mL−1 concentration). The polysaccharide demonstrated 82.63% anticancer activity towards the A549 lung cancer cell line at 1000 μg mL−1 dosage. The findings suggest that this polysaccharide has biological applications.

Application of Principal Component Analysis in Determining the Hydrogeochemistry Characteristics of Karst Water in Bac Kan and Cao Bang

Research on the origin and processes affecting the hydrogeochemical characteristics of karst water provides useful information for the management and exploitation of karst water resources. Principal Component Analysis (PCA) was applied to the karst water physicochemical data, including temperature, pH, Electronic Conductivity (EC), Ca2+, Mg2+, Na+, K+, Cl-, HCO3-, SO42-, and NO3- in Ba Be lake (Bac Kan province) and Ha Quang, Trung Khanh (Cao Bang province). The Piper diagram described the main type of hydrochemical facies in karst water at 24/25 survey points as Ca2+-HCO3-. The combination of eleven physicochemical properties was reduced into four main components (PC1, PC2, PC3, PC4) based on eigenvalues of 4,0; 2,5; 1,3 and 1,2, respectively. A total of 81,53% of the variance was represented by four main components, in which PC1 (36,36%) represented the rock-water interaction, PC2 (22,88%) represented pollution sources related to human activities, PC3 and PC4 (22,29%) represented the dissolution of magnesium minerals. The moderate-strong correlation between parameters of the Mia Le Formation’s sample in Ba Be Lake area and PC1 indicated that the major chemical composition of karst water is strongly influenced by the interaction between carbonate rocks and water. This process also occurs intensely at some survey points in the Bac Son, Song Hien, and Cao Bang formations. Meanwhile, some samples NK.19, NK.23, NK.25 of the Bac Son and Song Hien formations had a moderate positive correlation with PC2 and are affected by human activities. Research results have shown that the combination of principal component analysis PCA and correlation analysis is an effective tool in determining karst water characteristics in the area.

A Study of the Effects of Stimulants on Resin Yield, Resin Duct and Turpentine Chemical Composition in Pinus kesiya var. langbianensis

This study presents a comprehensive examination of Pinus kesiya var. langbianensis (Pinus kesiya var. langbianensis), the primary resin-extraction tree species in Yunnan Province, China. In this study, we formulated different concentration gradients of 0.25%, 0.5%, 1%, and 2% of diquat solution as tapping stimulant to test the effect of different concentrations on the resin gain rate of Pinus kesiya, and analyzed the relationship between anatomical structure, major chemical composition of turpentine and resin yield by methods such as wood anatomy and chemical composition analysis of turpentine. The primary focus of the investigation was on exploring the interrelationships among resin-tapping stimulants, anatomical structures, turpentine components, and resin yield. Research findings demonstrate a significant enhancement in resin production due to the application of stimulants, with the highest increase rate reaching 55% in a specific group, while others achieved approximately 30% increments. Moreover, measurement data about resin duct dimensions indicate a noteworthy increase in resin duct area for the stimulant-treated group compared to the control group. However, it should be noted that the impact on resin duct area by varying stimulant concentrations was relatively minor. Furthermore, continuous observation of resin extraction from different resin-yield classes of P. kesiya revealed insignificant variation in resin yield over time for the low and moderate resin-yield groups. In contrast, the high resin-yield group exhibited a gradual increase in resin production. Interestingly, the high resin-yield group exhibited the smallest resin duct area, but the highest resin duct density, indicating an interconnectedness of resin duct-related data that influences resin yield. Additionally, correlative investigations between anatomical structures and resin yield demonstrate a positive correlation between resin duct area and resin yield, total resin production, and average resin yield. This underscores the importance of resin duct area as a significant factor in resin production. On the other hand, the influence of stimulant concentrations on the turpentine components was found to be negligible. Overall, the correlation results suggest that turpentine components cannot reliably predict or differentiate between high and low resin-yield trees. This study provides a comprehensive analysis of the interrelationships among stimulants, anatomical structures, and turpentine components, offering a theoretical foundation for the resin extraction and resin processing industries in Yunnan Province.

FTIR spectroscopy for assessment of hair from lung cancer patients and its application in monitoring the chemotherapy treatment effect

Lung cancer is the most common cancer and the leading cause of death in China. The current gold standard for clinical lung cancer diagnosis is based on histopathological examination of tumors, but it has the limitation for easy operation and convenient applications. Therefore, researchers are still striving to develop other tools and methods for non-invasive and rapid assessment of the health conditions of lung cancer patients. Hair, as a reflection of the metabolism of the body, is closely related to human health conditions. In principle, Fourier-transform infrared (FTIR) spectroscopy can probe the major chemical compositions in the hair. However, as indicated by previous studies, there is still the challenge to make good use of FTIR spectroscopy for achieving reliable analysis of hair from cancer patients. In this study, hair samples from 82 lung cancer patients were collected and subjected to FTIR measurements and analysis, which showed the protein content in the hair is closely related to the protein content in the blood serum of patients, and the contents of protein and lipid are statistically lower in the lung cancer patients. Furthermore, we demonstrated that FTIR spectroscopy could be employed to monitor the hair of lung cancer patients undergoing chemotherapy, and confirmed that the FTIR spectra of the hair may reflect the resultant effect of the chemotherapy. As such, this work validates the way of using FTIR spectroscopy in hair analysis for the assistance of medical diagnosis of lung cancer as well as monitoring the conditions of the patients under the medical treatment.

Compositional, volatile, and structural features of Hermetia illucens (black soldier fly) flours: The effect of population and life stages

The scope of the present study was to study the effect of different populations of Hermetia illucens, commonly known as black soldier fly (BSF), on the major components and volatile composition of the derived freeze-dried flours. Potential differences in the composition of different life cycle stages of BSF, i.e., larvae and pupae, were also investigated. The flours obtained from larvae of two BSF populations from Greece (GR) and Portugal (PO) (L-GR and L-PO, respectively) demonstrated similar major chemical compositions. Pupae (Pu-PO) were richer in chitin compared to larvae. Differences were spotted in their fatty acid profiles and volatile fractions. The saturated/unsaturated lipid fraction ratio was 1.5 in L-GR, higher in L-PO (2.5), and even higher in the case of Pu-PO (4.0). Seventeen (17) compounds were detected in the volatile fraction of the Pu-PO samples and 24 in the volatile fraction of the L-GR and L-PO samples. Notably, dodecanoic acid ethyl ester was the predominant volatile compound in all samples. The proteins of both larvae and pupae were dominated by β-sheet structures. The present study's findings are valuable for designing food or feed products based on BSF components and could be important for applying suitable manufacturing and processing procedures.

Key toxic components and sources affecting oxidative potential of atmospheric particulate matter using interpretable machine learning: Insights from fog episodes

Fog significantly affects the air quality and human health. To investigate the health effects and mechanisms of atmospheric fine particulate matter (PM2.5) during fog episodes, PM2.5 samples were collected from the coastal suburb of Qingdao during different seasons from 2021 to 2022, with the major chemical composition in PM2.5 analyzed. The oxidative potential (OP) of PM2.5 was determined using the dithiothreitol (DTT) method. A positive matrix factorization model was adopted for PM2.5. Interpretable machine learning (IML) was used to reveal and quantify the key components and sources affecting OP. PM2.5 exhibited higher oxidative toxicity during fog episodes. Water-soluble organic carbon (WSOC), NH4+, K+, and water-soluble Fe positively affected the enhancement of DTTV (volume-based DTT activity) during fog episodes. The IML analysis demonstrated that WSOC and K+ contributed significantly to DTTV, with values of 0.31 ± 0.34 and 0.27 ± 0.22 nmol min−1 m−3, respectively. Regarding the sources, coal combustion and biomass burning contributed significantly to DTTV (0.40 ± 0.38 and 0.39 ± 0.36 nmol min−1 m−3, respectively), indicating the significant influence of combustion-related sources on OP. This study provides new insights into the effects of PM2.5 compositions and sources on OP by applying IML models.

Effects of facile chemical pretreatments on physical-chemical properties of large clustered and small monopodial bamboo microfibers isolated by steam explosion

To explore the facile and high-efficient combining isolation method of bamboos and develop their high value-added fiber functional materials, this study aims at investigating the effects of four chemical soaking-pretreatments on physical-chemical properties of bamboo microfibers that were isolated using eco-friendly steam explosion (SE) from four local bamboo species (Chimonobambusa quadrangularis (CQ), Qiongzhuea tumidinoda (QT), Dendrocalamus giganteus (DG), and Dendrocalamus sinicus (DS)). The variations in the micro-morphology, width distribution and major chemical composition of bamboo microfibers as well as their thermal stability, crystallinity, surface hydrophilicity, and macro- and nano- mechanical properties were comprehensively characterized. The CQ, QT, DG, and DS bamboo microfibers obtained by the combination of mild alkali pretreatment and steam explosion displayed the smallest width sizes (149.57, 150.76, 177.33, and 172.67 µm), the highest cellulose contents (68.14 %, 67.62 %, 67.92 %, and 62.36 %), and the lowest hemicellulose contents (12.64 %, 17.24 %, 15.94 %, and 16.42 %) compared to their controls. Four chemical soaking pretreatments improved the thermal stability of bamboo microfibers but generally reduced their macro- and nano-mechanical properties. The elongation at break of bamboo microfibers pretreated by mild alkaline were effectively elevated. Acid-pretreated bamboo microfibers effectively increased the hydrophobicity of cellulose microfibrils with the highest water contact angle (WCA) value (56.8°). IL-pretreated bamboo microfibers improved the surface roughness and hydrophilicity (WCA=44.3°).

High recovery of lithium from coal residue by roasting and sulfuric acid leaching

As the price and demand for lithium metal continue to rise, super-enriched lithium coal is expected to become a new resource to obtain lithium, but there are little research studies on methods for extraction process and mechanism. In this study, a lithium-rich coal residue was leached with H2SO4 after roasting activation without any additive. The properties and morphology of raw ore, calcined samples and leaching residue were characterized by proximate analyses, XRF, ICP-OES, XRD and SEM-ESD. The major chemical compositions were Al2O3 (26.46 %), SiO2 (41.35 %), C (9.43 %) and the valuable lithium content was 550 mg/kg. The main phase compositions of the raw coal residue are kaolinite, quartz, anatase, gypsum and muscovite. The highest leaching efficiency of lithium was achieved under conditions of calcination at 500 °C, leaching reaction time of 40 min, in 15 % wt/v sulfuric acid concentration at a leaching temperature at 90 °C. The occurrence at lithium was closely associated with the kaolinite. The mechanism of roasting activation is that kaolinite loses its structural hydroxyl group and transforms into metakaolinite, and the exposed lithium can undergo ion exchange and minerals dissolution reaction with sulfuric acid.

POTENTIAL USE OF GLASS WASTE POWDER AS A CEMENT REPLACEMENT IN CEMENT-BASED MORTAR

In Indonesia, glass is the 7th largest waste contributor with difficult-to-decompose properties. In 2021, glass waste reached more than nine million tons and it is predicted to increase as it is becoming more popular every year. The major chemical composition of glass is silica and when the glass is milled down to smaller size particles (i.e., micro-size), it is expected to react with cement hydrates and promote the pozzolanic reaction to form secondary C-S-H. The use of glass waste as a substitute for cement as supplementary cementitious materials (SCM) is an important step that can lead to the production of more sustainable and energy-efficient cement-based construction. This research focused on investigating the effect of using glass waste powder consisting of clear, green, and brown colors as cement replacement in cement-based mortar. Physical and chemical properties of raw material (including X-ray fluorescence, scanning electron microscope, loss on ignition, and particle size analysis) are evaluated before the glass waste is cast into mortar. The mixture proportion of cement and glass powder is calculated based on ASTM C-311, which is 80% and 20% by weight, respectively. In this study, the cement-glass powder-based mortars are fabricated by casting into cube molds of 50x50x50 mm. According to the results of the compressive strength on the 56th day, brown and clear glass powder had values of 23,62 MPa and 23,15 MPa, respectively. It indicated that a 20% cement replacement with clear and brown glass powder had the potential to be used as SCM.

Phytochemical analysis of ethanolic Psidium guajava leaves extract using GC-MS and LC-MS

Abstract. Nursanty R, Padzil KNBM, Ramli NIB, Mahyudin NA, Jaafar AHB, Rukayadi Y. 2023. Phytochemical analysis of ethanolic Psidium guajava leaves extract using GC-MS and LC-MS. Biodiversitas 24: 2723-2732. Psidium guajava L. is well known as guava and has been used traditionally as a medicinal plant for a variety of ailments all over the world, especially in infusions and decoctions for oral and topical use. Every part of this plant has been used for treating stomachache and diarrhea in many countries. Other reported uses include dermatitis, sores, epilepsy, and wounds.Medicinal plants have an important role in complementary and alternative medicine because they produce various natural compounds with high therapeutic properties. Many researchers report that the major chemical composition of this plant includes tannins, phenols, flavonoids, saponins, carbohydrates, alkaloids, sterols, terpenoids, and phenolic compounds. The aim of this study is to identify the volatile and non-volatile compounds in ethanolic P. guajava leaves extract. This study aimed to identify phytochemical compounds in P. guajava leaves extract. The main volatile compounds identified using GC-MS were pyrogallol, ?-copaene, caryophyllene, aromadendrene, ?-humulene, alloaromadendrene, ?-muurolene, ?-selinene, ?-selinene, ?-muurolene, ?-bisabolene, ?-bisabolene, (-) globulol, caryophyllene oxide, ?-muurolol, and epiglobulol. Based on LC-MS analysis, a number of non-volatile compounds such as flavonoids; apigenin 7-?-?-D-glucuronopyranoside, quercetin, luteolin 7-O-glucuronide, naringenin 4?-O-glucopyranoside, and myrecitin along with phenolic derivatives such as quinic acid, catechin, and epigallocatechin (4?,8)-gallocatechin were tentatively identified.

Glass classification and identification based on multiple clustering model

Ancient glass is extremely susceptible to weathering by the influence of the buried environment, resulting in a change in the proportion of glass components. In order to classify different kinds of glass, this paper uses k-means++ clustering method to analyze the classification law, and summarizes the major and minor chemical composition data of the cluster center, so as to establish a glass classification model. In order to identify unknown types of glass, this paper mixes the data of eight groups of unknown types of glass into the known data, outputs the types of eight groups of glass through cluster analysis, calculates the center distance of the lead barium glass group to the subclass of the type in these eight groups, and then divides the subclass, and at the same time divides the subclass of the high potassium glass in the eight groups.

Effect of chia (Salvia hispanica L.) seed mucilage powder on some physicochemical and rheological properties of ayran drinks

In this study, chia seed mucilage powder (MP) was added into ayran drinks at different ratios (0.05, 0.10 and 0.15%, w/v), and its effect on physicochemical, rheological, microbiological and sensory properties of ayran drinks was determined during 10 days of storage at 4±1 °C. MP addition did not influence their major chemical composition significantly (p&gt;0.05). Increasing MP ratio in drinks decreased the colour L* values of drinks while increasing their colour a* and b* values. Addition of 0.05, 0.10 and 0.15% MP reduced serum separation values of drinks by 25, 67 and 83%, respectively. The apparent viscosity value of control samples was 103.20 cP and increased to 134.25, 185.35 and 223.38 cP in ayran drinks with 0.05, 0.10 and 0.15% MP, respectively. The obtained results indicated that chia seed MP up to 0.05% can be used in ayran drink production to reduce serum separation and improve viscosity without any adverse effect on sensory liking scores.

Chemical and Isotopic Features of a High pCO2 Natural Mineral Water from Essentuki Field (Caucasian Mineral Water Region, Russia)

This article presents the new data on the chemical and gas composition, the content of stable isotopes of oxygen, hydrogen, carbon, and sulfur in natural mineral waters of the Essentuki field. A detailed study of the geological and hydrogeological features of the water circulation area, its major chemical composition, the content of organic matter in water, temperature conditions and δ18OSMOW, δDSMOW, δ13CDIC, δ18ODIC, δ34SVCDT, δ13CCO2, δ13CCH4, δ15N values made it possible to specify the genesis of water, gas, and solute components of the Essentuki CO2-rich mineral water field. The stable isotopes values (δ18OSMOW and δDSMOW) in the water phase ranges from −13.75 to −9.69‰ and from −101.08 to −74.34‰, respectively. They correspond to GMWL, which indicates their predominantly infiltration genesis. The values of δ13CDIC in mineral waters of the Essentuki field vary widely from −14.43 to +8.59‰ and indicate their mixed genesis. δ15N gas values in mineral waters of the Essentuki field vary quite widely from −2.31 to 2.50‰ indicating a different source of this gas. Obtained data prove that all mineral waters in the Essentuki field are infiltration waters, and the heterogeneous component composition of waters circulating in different aquifers reflects the lithological composition of water-bearing strata, the rate of openness/closure of faults and the intensity of reactions in the «water-rock-gas-organic matter» system.

Provenance signatures and compositional transitions based on major element chemical composition of the stream sediment from the Psunj Mt., Croatia

Stream sediment is widely used as a medium in geochemical surveys. This study examined major element chemical composition of stream sediment produced by weathering in lithologically diverse terrain. Such sediment represents mixed sediment, therefore, the aim was to interpret its provenance and model the transitions within its major element composition. The particular interest was to link major element composition, mineral composition and the sediment source rocks. In order to interpret the sediment origin principal component analysis was employed and representative samples with highest and lowest scores were analysed for mineral composition. Scores also suggested four lithology-based groups of stream sediment samples. Transitions between groups were described with linear models for compositional data. Despite the ambiguity, links between major element composition, mineral composition and provenance were established. Besides sorting out sources of mixed sediment and minerals which control the transitions, this study contributes to general understanding of the Psunj Mt. geology, while the results can be used in geochemical surveys in areas of a similar geological setting.

Incident dementia and long-term exposure to constituents offine particle air pollution: A national cohort study in the United States.

Growing evidence suggests that fine particulate matter (PM2.5) likely increases the risks of dementia, yet little is known about the relative contributions of different constituents. Here, we conducted a nationwide population-based cohort study (2000 to 2017) by integrating the Medicare Chronic Conditions Warehouse database and two independently sourced datasets of high-resolution PM2.5 major chemical composition, including black carbon (BC), organic matter (OM), nitrate (NO3-), sulfate (SO42-), ammonium (NH4+), and soil dust (DUST). To investigate the impact of long-term exposure to PM2.5 constituents on incident all-cause dementia and Alzheimer's disease (AD), hazard ratios for dementia and AD were estimated using Cox proportional hazards models, and penalized splines were used to evaluate potential nonlinear concentration-response (C-R) relationships. Results using two exposure datasets consistently indicated higher rates of incident dementia and AD for an increased exposure to PM2.5 and its major constituents. An interquartile range increase in PM2.5 mass was associated with a 6 to 7% increase in dementia incidence and a 9% increase in AD incidence. For different PM2.5 constituents, associations remained significant for BC, OM, SO42-, and NH4+ for both end points (even after adjustments of other constituents), among which BC and SO42- showed the strongest associations. All constituents had largely linear C-R relationships in the low exposure range, but most tailed off at higher exposure concentrations. Our findings suggest that long-term exposure to PM2.5 is significantly associated with higher rates of incident dementia and AD and that SO42-, BC, and OM related to traffic and fossil fuel combustion might drive the observed associations.

Variation of Major Chemical Composition in Seed-Propagated Population of Wild Cocoa Tea Plant Camellia ptilophylla Chang.

Excessive intake of high-caffeine tea will induce health-related risk. Therefore, breeding and cultivating tea cultivars with less caffeine is a feasible way to control daily caffeine intake. Cocoa tea (Camellia ptilophylla Chang) is a wild tea plant which grows leaves with little or no caffeine. However, the vegetative propagation of cocoa tea plants is difficult due to challenges with rooting. Whether natural seeds collected from wild cocoa tea plants can be used to produce less-caffeinated tea remains unknown, because research on the separation of traits among the seed progeny population is lacking. The present study was set to investigate the variation of caffeine and other chemical compositions in seed-propagated plant individuals using colorimetric and HPLC methods. It shows that there were great differences in chemical composition among the seed-propagated population of wild cocoa tea plants, among which some individuals possessed caffeine contents as high as those of normal cultivated tea cultivars (C. sinensis), suggesting that the naturally seed-propagated cocoa tea seedlings are not suitable for directly cultivating leaf materials to produce low-caffeine tea. Therefore, the cocoa tea plants used for harvesting seeds for growing low-caffeine tea plants should be isolated in order to prevent their hybridization with normal cultivated C. sinensis plants. Interestingly, the leaves of cocoa tea seedlings contained high levels of gallocatechin gallate (GCG) and would be a good source of leaf materials for extracting more stable antioxidant, because GCG is a more stable antioxidant than epigallocatechin gallate (EGCG), the dominant component of catechins in normal cultivated tea cultivars. Some plant individuals which contained low levels of caffeine along with high levels of amino acids and medium levels of catechins, are considered to be promising for further screening of less-caffeinated green tea cultivars.

1H NMR metabolic profiling of Staphylococcus pseudintermedius isolated from canine uroliths.

Staphylococcus pseudintermedius is a urease-producing bacteria which is a major cause of magnesium ammonium phosphate (MAP) urolithiasis in canine. A positive urolith culture is an important risk factor for MAP urolithiasis in canine. The mechanism underlying the metabolic changes of S. pseudintermedius after crystallization in artificial urine (AU) needs more defined baseline metabolic information. Therefore, we extensively investigated the metabolic changes of S. pseudintermedius extensively after crystallization in AU. A high urease activity and positive biofilm formation strain, entitled the S. pseudintermedius (SPMAP09) strain, was isolated from canine MAP uroliths, and analyzed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics. The molecular mechanism-specific metabolic phenotypes were clearly observed after crystallization in AU at day 3. The crystals induced by SPMAP09 were also confirmed and the major chemical composition identified as struvite. Interestingly, our findings demonstrated that a total of 11 identified metabolites were significantly changed. The levels of formate, homocarnosine, tyrosine, cis-aconitate, glycolate, ethyl malonate, valine and acetate level were significantly higher, accompanied with decreased levels of inosine, glucose, and threonine at day 3 compared with the initial time-point (day 0). In addition, our results exhibited that the glyoxylate and dicarboxylate metabolism was significantly related to the SPMAP09 strain at day 3 in AU. Thus, metabolic changes of the SPMAP09 strain after crystallization in AU potentially helps to explain the preliminary molecular mechanism for the crystals induced by S. pseudintermedius.

Regional Drivers of Stream Chemical Behavior: Leveraging Lithology, Land Use, and Climate Gradients Across the Colorado River, Texas USA

AbstractUnderstanding relationships between stream chemistry and watershed factors: land use/land cover, climate, and lithology are crucial to improving our knowledge of critical zone processes that influence water quality. We compiled major ion data from &gt;100 monitoring stations collected over 60 years (1958–2018) across the Colorado River Watershed in Texas (103,000 km2). We paired this river chemistry data with complementary lithology, land use, climate, and stream discharge information. Machine learning techniques were used to produce new insights on controls of stream water chemical behavior, which were validated using traditional multivariate analyses. Studies on stream flow and chemistry in the American west and globally have shown strong relationships between major ion chemical composition, climate, and lithology which hold true for the Colorado River basin in this study. Reactive minerals, including carbonates and evaporites, dominate major ion chemistry across the upper, low‐precipitation regions of the watershed. Upstream and middle reaches of the Colorado River showed shifts from Na‐Cl‐SO4 dominated water from multiple sources including dissolution of gypsum and halite in shallow groundwater, and agricultural activities, to Ca‐HCO3 water types controlled by carbonate dissolution. In the lower portion of the watershed multiple analyses demonstrate that stream chemistry is more influenced by greater precipitation and the presence of silicate minerals than the middle and upstream reaches. This study demonstrates the power of applying machine learning approaches to publicly available long term water chemistry data sets to improve the understanding of watershed interactions with surficial lithology, salinity sources, and anthropogenic influences of water quality.

Annual and seasonal trends in cow's milk quality determined by FT-MIR spectroscopy in Hungary between 2011 and 2020.

We analysed and monitored the major chemical composition of cow's bulk milk by Fourier transform mid-infrared (FT-MIR) spectroscopy over a 10-year period in the whole territory of Hungary. In addition, the two most important key parameters for milk quality assessment, total bacterial count (TBC) and somatic cell count (SCC) were also followed. Production parameters showed significant seasonal and yearly changes. The overall mean fat, protein, lactose and solids-non-fat (SNF) contents of cow's milk were 3.81%, 3.32%, 4.74% and 8.76%, respectively. A circannual variation was observed in the chemical composition and yield of milk components of samples examined between 2011 and 2020. Concerning milk fat, milk protein and SNF, the values were the lowest in summer and the highest in winter. In the case of lactose, the minimum values were measured in autumn and the maximum values in spring. An obvious trend of long-term elevation of lactose and SNF was found in the raw cow milk samples over the observed period. The overall mean TBC and SCC of cow's milk were 52 × 103 CFU ml-1 and 270 × 103 cells/ml, respectively. Although there were differences in the monthly average values, no seasonal cyclicality was observed.