Chemical Analysis Data Research Articles

Investigation of the Role of Chemical Analysis in Causality Assessment of Herbal and Dietary Supplement-Induced Liver Injury.

The attribution of drug-induced liver injury (DILI) to specific herbal and dietary supplements (HDS) is confounded by inaccurate labels and undisclosed ingredients. The US Drug-Induced Liver Injury Network (DILIN) determines the attribution of injury to an agent through its structured expert opinion causality assessment process, but without the use of chemical analysis data of HDS. We aimed to determine the impact of chemical analysis of HDS products on prior causality assessment scores. Obtained samples of HDS consumed by DILIN-enrolled patients were analyzed by high-performance liquid chromatography-mass spectrometry (HPLC-MS). Chemical analysis data were compared to label accuracy and detect whether the product contained botanical and non-botanical compounds. A comparison of the causality scores reassessed with chemical analysis was compared with the original scores. A total of 54 previously adjudicated cases with chemical analysis available were reassessed for causality with chemical analysis data; reviewers were blinded to original causality scores. Using the chemical analysis data, 37% (n = 20) of the 54 cases were scored with a higher likelihood of DILI compared with the original causality scores; 14 of the 20 (70%) moved from probable to highly likely; 52% had no change in causality score; and 11% of cases were scored as a lower likelihood of DILI. Our study demonstrates that there is value in using HDS chemical analysis data in the causality assessment process for DILI. In more than a third of cases, chemical analysis of products led to an increased confidence in DILI attribution to HDS. These findings suggest that chemical analysis is an important tool in causality assessment for HDS agents, specifically in challenging situations, and further studies are needed to confirm its applicability in clinical practice.

Groundwater quality assessment using revised classical diagrams and compositional data analysis (CoDa): Case study of Wadi Ranyah, Saudi Arabia

This research aims to assess the status and chemical properties of groundwater in the shallow aquifer of the Wadi Ranyah region, Saudi Arabia, using robust statistical methods (CoDA) that take into account the unique characteristics of chemical analysis data from forty-five (45) groundwater samples collected in the Wadi Ranyah valley. A centered logarithmic transformation (clr) approach and isometric logarithmic transformation (ilr) plots for compositional data were utilized to determine the different water types and to understand the hydrogeochemical processes influencing groundwater chemistry in the region. The results of principal component analysis and K-means clustering reveal the existence of three groundwater groupings: (i) The first group occupies the recharge region with a relationship between trace metal elements (F, Pb, Mn, Zn), pH, and TDS, indicating the effect of alteration of igneous and metamorphic rock minerals. (ii) The second group characterizes the downstream part of the Al-Hujrah area with a relationship between calcium and nitrates, indicating the influence of agricultural activities. (iii) The third group, located in the Ranyah area, shows a relationship between major ions (Na+, SO42−, Mg2+, HCO3–, Cl−, K+), which explains water mineralization influenced by silicate weathering and evaporation phenomena. According to the modified Piper diagram (ilr Piper), two hydrochemical facies are identified. The upstream region is categorized as Ca-HCO3– while the downstream region is classified as Na-K-HCO3–. Calculated water quality index (WQI) values indicate that all Wadi Ranyah groundwater samples are of very poor quality (WQI > 300). This is due to higher concentrations of polluting elements (Pb, Mn and F), in particular the high lead concentrations which vary between 0.24 and 0.4 mg/L, and are well above the WHO limit (0.01 mg/L) for consumption of drinking water. The application of CoDA for the first time in the study region has provided a more detailed and reliable assessment of the mechanisms governing groundwater quality, permitting suggestions for the management of groundwater resources and defining future research needs.

G-CovSel: Covariance oriented variable clustering

Dimensionality reduction is an essential step in the processing of analytical chemistry data. When this reduction is carried out by variable selection, it can enable the identification of biochemical pathways. CovSel has been developed to meet this requirement, through a parsimonious selection of non-redundant variables. This article presents the g-CovSel method, which modifies the CovSel algorithm to produce highly complementary groups containing highly correlated variables. This modification requires the theoretical definition of the groups' construction and of the deflation of the data with respect to the selected groups. Two applications, on two extreme case studies, are presented. The first, based on near-infrared spectra related to four chemicals, demonstrates the relevance of the selected groups and the method's ability to handle highly correlated variables. The second, based on genomic data, demonstrates the method's ability to handle very highly multivariate data. Most of the groups formed can be interpreted from a functional point of view, making g-CovSel a tool of choice for biomarker identification in omics. Further work will be carried out to generalize g-CovSel to multi-block and multi-way data.

Chemical Study of Iraqi Kassub Plant Eryngium creticum Lam and its Geographical Distribution in Diyala Province

General Background: The therapeutic potential of medicinal plants has garnered increasing interest, particularly in relation to their chemical compositions and geographical distributions. Specific Background: This study focuses on Eryngium creticum Lam, an Apiaceae family plant known as Iraqi Kassub, prevalent in the Diyala province of Iraq. Knowledge Gap: Despite its traditional use in treating various ailments, there is a lack of comprehensive chemical analysis and geographical distribution data for this plant. Aims: The objective of this research was to identify the chemical components of Eryngium creticum Lam through GC-MS analysis and to map its geographical distribution within the Diyala province. Results: The chemical study revealed 101 distinct compounds in the alcoholic extract of the plant, highlighting a significant presence of sitosterols and sugars. These compounds are associated with antioxidant properties and therapeutic applications, including the treatment of envenomations, leishmaniasis, and anemia. Novelty: This study is novel in its detailed chemical profiling and geographical mapping of Eryngium creticum Lam, providing new insights into its medicinal value and distribution. Implications: The findings underscore the plant's potential as a therapeutic resource and emphasize the need for further research. Future studies should aim to isolate and characterize bioactive compounds such as phenols and flavonoids and assess their efficacy and safety through in vivo models to validate their therapeutic potential. Highlights: GC-MS identified 101 compounds. Bioactive compounds with therapeutic properties. Mapped geographical distribution in Diyala. Keywords: Eryngium creticum, GC-MS, therapeutic potential, chemical profile, geographical distribution

Structured stochastic curve fitting without gradient calculation

Optimization of parameters and hyperparameters is a general process for any data analysis. Because not all models are mathematically well-behaved, stochastic optimization can be useful in many analyses by randomly choosing parameters in each optimization iteration. Many such algorithms have been reported and applied in chemistry data analysis, but the one reported here is interesting to check out, where a naïve algorithm searches each parameter sequentially and randomly in its bounds. Then it picks the best for the next iteration. Thus, one can ignore irrational solution of the model itself or its gradient in parameter space and continue the optimization.

GC-MS analysis and nutra-pharmaceutical potential of Mentha piperita essential oil extracted by supercritical fluid extraction and hydro-distillation

This study reports the comparative evaluation of yield, physico-chemical composition and biological attributes (antioxidant activity, antimicrobial activity, biofilm inhibition and hemolytic activity) of peppermint (Mentha piperita L.) essential oil (EO) obtained by hydro-distillation (HD) and supercritical fluid (CO2) extraction (SCFE) methods. The yield (%) of EO obtained by HD (0.20 %) was significantly (p < 0.05) higher than that of SCFE (0.13 %) while the variation in the physical parameters like solubility, color, density (at 25 °C) and refractive index (at 25 °C) was not significant between the tested oils. The data of chemical compositional analysis revealed that menthol was the key component in the EO obtained by HD (52.85 %) and SCFE (45.51 %), followed by menthone [HD (25.93 %) and SCFE (27.3 %)] and eucalyptol [HD (8.59 %); SCFE (8.92 %)]. The EO extracted with supercritical fluid (SCFE-EO) exhibited superior (p < 0.05) DPPH free radical inhibition potential (52 %) with an IC50 value of 15.65 μg/mL and reducing power compared to that of HD-EO. The highest antimicrobial activity was exhibited by SCFE-EO against Pasturella multocida with an inhibition zone of 18.00 mm (MIC value of 86 μg/mL). The results of biofilm inhibition and hemolytic activity revealed that the SCFE method was superior to recover high quality EO in comparison to the HD method. The peppermint EO obtained by SCFE, owing to potent bioactive components, can be a potential candidate to develop nutra-pharmaceuticals.

The correlation between Rare Earth Elements and tin in granite, quartz vein, and weathered granite samples, in South Bangka, Bangka Belitung Islands, Indonesia

The presence of Rare Earth Elements (REEs) is often correlated with tin (Sn), particularly at placer deposits in the Bangka Belitung Islands. However, there is limited information on the correlation between Sn and REEs. Therefore, this study aimed to investigate the correlation between REEs and Sn using data analysis of Sn-W, REEs, Y, Th, and U in granite, quartz veins, and weathered granite samples from South Bangka. The statistical analysis carried out using the Pearson correlation coefficient and multivariate processing showed that Sn-REEs have a weakly negative correlation. The examination of genetic aspects through chemical analysis, mineralogy, and Scanning Electron Microscope (SEM) data, showed that Sn and REE originated from the same magmatic fluids but different depositional phases due to magmatic-hydrothermal processes. The results show that REEs were formed during the early magmatic crystallization as mineral and stannite (Cu-Sn) in granite, while Sn was enriched as cassiterite in the deposition of late-stage hydrothermal fluid in parental granite. Moreover, the variation in deposition stage and temperature during the formation process is depicted in statistically uncorrelated values for Sn and REEs.

Data Lake Conceptualized Web Platform for Food Research Data Collection

Food research is uniquely intertwined with everyday life and necessitates the utilization of big data. Within this domain, the research data consist of various forms and formats, encompassing biological experiment results, chemical analysis data, nutritional information, microbiological data, sensor data, images, and videos. This diversity stems from the integration of data from various subdomains within the larger field. With recent advancements in deep learning technology, the importance of data has grown significantly, resulting in increased reliance on data-driven research. Although specialized platforms for sharing and utilizing data have been established at the national level, particularly in the bioscience field, food research lacks a dedicated infrastructure and specialized data-sharing platforms. In this study, we develop a platform that leverages Hadoop-based distributed file systems to create a data lake. This platform enables data storage and sharing through a web-based interface. The distributed file system supports scalability by adding data nodes, making it an effective solution for capacity expansion. In addition, the web-based platform ensures high accessibility, allowing users access from anywhere, at any time, using any device. Finally, we introduce the establishment of a 1.8 PB Hadoop-based physical storage system and present an approach for building a highly accessible web platform with substantial utility.

An Automated "Hands-Off" Method for Sampling Mainstream Smoke from Cannabis Cigarettes.

A simple-to-use, portable, and relatively inexpensive system for characterizing the chemical components of mainstream smoke from cannabis cigarettes was developed and tested by using commercial hemp cigarettes. The system is described, and its performance for reproducing actual user puff topographies is shown along with extensive chemical analysis data, including PAHs, carbonyls, and organic and elemental carbon, for a small set of initial samples. By using a solid-state flow meter and fast-response mass flow controller, the prototype can reproduce measured puff topography with excellent fidelity, which will allow users to accurately reproduce the actual inhalation patterns for various types of smoking products and consumers, and to collect samples of mainstream smoke without the need to bring test subjects or controlled substances into a laboratory.

The Importance of Teaching Metrology for Chemistry Undergraduate Courses

The Chemistry undergraduate courses, in general, aim to train professionals for research, teaching and activities in industry. In all these areas, the statistical treatment of data supported by metrology disciplines has been a decisive boost to consolidate conclusions in Analytical Chemistry. The main objective of this work was to stimulate the teaching of the metrology in the chemistry undergraduate courses in Brazil and Portugal. In this work we present some concepts and practical cases of metrology and statistics, which together guarantee the suitability of analytical measurement results for specific purposes. Knowledge of these concepts is essential for the chemist to act effectively and responsibly, avoiding some pitfalls when processing data in Analytical Chemistry. A supplementary material with Excel spreadsheets is available, containing the statistical treatment of some examples and complementing the discussions in this work. A survey is presented among the most important universities in Brazil and Portugal, from which we can see the lack of teaching these subjects in undergraduate chemistry courses. For this reason, this work recommends a syllabus for creating chemical metrology disciplines in undergraduate chemistry courses. To subsidize this syllabus, an extensive, but not exhaustive, bibliography is indicated.

The physical and chemical properties of the technosols in the pot experiment with waste and groundwater irrigation

&#x0D; &#x0D; &#x0D; Mediterranean areas are characterized by a strong spatial variability that makes the soil hydrogeological logical response highly complicated. Some seasons provoke dramatic changes in soil properties determining the runoff rates, such as soil water content or soil water repellency. In recent years, important progress has been made in adapting water needs to local conditions through the use of various parameters to assess soil water status. Estimation of the water status of the soil has been widely used in soil science as a tool for quantitative analysis. The main objective of this case study was to analyze technosol and irrigation water physical and chemical properties in the pot experiment with lysimeters. A pot experiment with Avocado rootstocks was equipped with lysimeters in the facilites of the «La Mayora Experimental Field site» of the Higher Council for Scientific Research (Spain). The scheme of the pot experiment included three sources of irrigation: a) groundwater; b) regenerated municipal wastewater (100%); c) a mix of ground and regenerated municipal wastewater (50 / 50%). Chemical analysis data indicate that the reclaimed wastewater does not meet irrigation requirements in terms of pH, EC and due to the significant content of sodium and chlorine. Even groundwater satisfies irrigation water qualitative requirements partially. The suitability of irrigation water on pH level can be characterized mainly as unsuitable and doubtful. Diluting regenerated wastewater with groundwater following the 50% principle led to a decrease in the potential risks for salinization of groundwater connected with leaching of the leachate. The dynamics of the change in the volume of leachate are related to precipitation, the frequency of irrigation, and different manifestations of the physical, mineralogical, and chemical properties of technosols.&#x0D; &#x0D; &#x0D;

Insight studies on the deactivation of sulfuric acid regeneration catalyst

The SAR unit is used for regenerating spent sulfuric acid for alkylation reactions. In the SAR unit, the converter employs a potassium and vanadium-based catalyst for conversion of SO2 to SO3. The multiple bed fixed bed reactor is there to ensure that almost entire amount of SO2 is converted to SO3. On observing the generation of large amounts of fines in the reactor catalyst, the spent catalyst and fines are collected for insight studies. The current study enlightens the possible causes of catalyst deactivation and fines generation. Structural changes in potassium/vanadium based catalyst during the oxidation of sulfur dioxide identified as the major cause of catalyst deactivation. Such structural changes and their impact on catalyst property were determined using various physico-chemical characterization methods like crushing strength, Loss on drying (LOD), XRF, XRD, FTIR and XPS analysis. LOD analysis shows the higher moisture and volatile content in spent and fines compared to fresh catalyst. High moisture content in spent catalyst decreases hardness of catalyst resulting in leaching of vanadium salt and carrier degradation due to thermal cycling. Chemical analysis data found to show the active vanadium content in fines is higher compared to spent which indicates vanadium has leached out from fresh catalyst and is deposited on fines. These observations are further correlated with XRD and XPS results. XPS analysis shows the relative distribution of V4+ and V5+ species on the catalyst surface are altered and found very low concentration of V4+ sites on spent catalyst. The XRD analysis demonstrates the leaching of the active component, potassium vanadyl sulfate K(VO2) (SO4)·3H2O, which then accumulated in the fines fraction. FT-IR and XRD results further shows increase in sulfate accumulation on spent catalyst surface along with phase changes. FTIR analysis of simulated spent catalyst are well correlated with these findings.

Physiological, biochemical, and histological changes in trout muscles as a result of white lupine inclusion in the diet structure

The work evaluated the effect of white lupin on the physiological, biochemical, and histological parameters of rainbow trout. The data of water chemical analysis, biochemical and histological analysis of rainbow trout muscles are presented. The results of the experiment indicate more pronounced positive results in the experimental groups, the average live weight of trout at the end of the studies in the 2nd experimental group was 3.7% higher relative to the control group. The average live weight of the 3rd group was 18.5% higher and that of the 4th group was 7.4%. At the end of the studies, an increase in muscle mass was observed in group 2 by 1.5% more than in the control group, group 3 – 18.8% and in the 4 experimental group – 12.8%, respectively. According to the results of biochemical analysis of muscle tissue, an increase in protein content in the experimental groups was established, in 2 experimental group by 0.2%, in 3 experimental group – 3.59%, and in 4 experimental group – 3.11%. The fat content in the muscle tissue of rainbow trout of the experimental groups decreased by 0.46% in 2 experimental group, 1.0% in 3 experimental group, and 0.96% in 4 experimental group. Therefore, the use of white lupin in the diet as a high-protein component affects the reduction of body fat in rainbow trout and contributes to an increase in protein content. Histological analysis of the white muscles of the control and experimental groups of trout showed moderate separation of muscle fibers and integrity of myofibrils. The striation of the transverse muscle was well pronounced. The experiment established a positive effect on its productivity, the biochemical composition of muscle tissue, and the quality of the products obtained.

Compliance of the food industry with mandated salt target levels in South Africa: Towards development of a monitoring and surveillance framework

This study evaluated the compliance of the food industry with mandated sodium target levels in South Africa for 13 categories of processed foods included in the sodium regulation R.214, and assessed whether there were differences between the sodium content provided on the product and the chemically analysed values. An in-store survey was done (February-June 2021) to collect sodium content data on the nutrition information panels of packaged foods (n = 1103). Commonly consumed brands for nine of the food categories, were physically sampled (n = 198) for sodium content analysis using Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Analysed sodium and food label values were compared with maximum permitted targets. According to food labels, 75% of food products had sodium levels at or below targeted limits. For the categories of bread, dry gravy powders and savoury sauce powders, and processed meat (uncured), > 30% of products had sodium levels above legislated targets. The least compliant food category was uncured processed meat which exceeded targets. Sodium levels declared on the packaging were similar to or higher than analytical sodium values, except for uncured processed meat (P < 0.05). According to food labelling and chemical analytical data, 70 – 75% of food products were compliant with the legislated sodium targets.

STOCKS OF POTENTIALLY TOXIC ELEMENTS IN THE GROUND COVER OF NORTHERN TAIGA PINE FORESTS UNDER AEROTECHNOGENIC POLLUTION

The paper presents the results of studying the distribution of stocks of potentially toxic elements (Ni, Cu) in subcrown spaces and “windows” of stands in medium-aged pine forests in the background area of the Kola Peninsula and that under environmental pollution by atmospheric emissions of the Severonickel Combine (Monchegorsk, Murmansk Region). On the basis of previously obtained data on the stocks of aboveground biomass of the components of the ground cover, mortmass of plant debris and forest litter and data of chemical analysis by means of atomic absorption spectrometry of leaves of dominant shrub species, aboveground parts of the moss Pleurozium schreberi (Brid.) Mitt, and lichen Cladonia stellaris (Opiz) Pouzar et Vězda, as well as plant waste and organogenic horizon (forest litter) of Al-Fe-humus podzols, Ni and Cu stocks in different components of forest ecosystems were calculated. It was found that the sharp decrease in atmospheric emissions by the Severonickel Combine over the last 20 years has not affected the level of habitat contamination, and the stock of heavy metals in the upper organogenic horizon of Al-Fe-humus podzols remains very high, especially in the impact zone, which does not even allow to start the process of restoration of the ground cover in this area. The stock of heavy metals in the plant waste consistently increases with the increase in the level of forest litter contamination when approaching the source of pollution, but the scale of this increase is significantly smaller in the mortmass compared to the litter. The pattern of distribution of heavy metal stocks in components of ground cover, plant waste and forest litter over the phytocenosis area is fundamentally different in background conditions and under aerotechnogenic pollution, which is due to differences in the accumulation of organic matter in different types of microsites. The ratio of Ni : Cu concentrations and stocks also differs in the soil-vegetation cover in pine forests of the background area and under the influence of aerotechnogenic pollution.

Chemical and Microbiological Composition of Tom River Bottom Sediments (Yurginskii District, Western Siberia)

Data of chemical and microbiological analyses of bottom sediment composition of the Tom R. near Yurga Town, Kemerov oblast, are given. All samples of bottom sediments were found to contain organic compounds of mixed, biogenic, and anthropogenic origin with the predominance of the latter. Clayey and silty bottom sediments show a higher content of ash-free substance, heavy metals, practically all classes of identified hydrocarbons, except for oxygen-containing and acyclic compounds. Bottom sediments with sand composition contain minimal concentrations of organic pollutants, and the proportions of hydrocarbons of different origin in them are comparable. Microbiological analysis showed the predominance of hydrocarbon-oxidizing bacteria in bottom sediments composed of clays and silty sand.

Geostatistics and inverse distance weighing (IDW) multivariate interpolation methods for regional geochemical stream sediment survey for base metal prospecting around Wapsa, Solukhumbu District, Nepal

A systematic regional geochemical stream sediment survey for base metals copper, lead, and zinc over an area of 200 sq.km was carried out around Wapsa in Solukhumbu District. 200 stream sediment samples were collected from active streams and analyzed them using atomic absorption spectrometry (AAS) method. All chemical analysis data were interpreted with geostatistical analysis and inverse distance weighing (IDW) multivariate interpolation method using the geographical information system (GIS). The results have shown consistency with geology, homogeneity, and mineralization in the area which is verified with significant copper anomaly over an old working area around Wapsa. The log10 transformed data of Cu, Pb, and Zn were used to estimate threshold and anomaly determination. The method is valid for regional geochemical stream sediment surveys for base metals prospecting.

Metabolomics Approaches for the Diagnosis, Treatment, and Better Disease Management of Viral Infections.

Metabolomics is an analytical approach that involves profiling and comparing the metabolites present in biological samples. This scoping review article offers an overview of current metabolomics approaches and their utilization in evaluating metabolic changes in biological fluids that occur in response to viral infections. Here, we provide an overview of metabolomics methods including high-throughput analytical chemistry and multivariate data analysis to identify the specific metabolites associated with viral infections. This review also focuses on data interpretation and applications designed to improve our understanding of the pathogenesis of these viral diseases.

Characterization of Crude Oil, Formation Water, and Fluid Inclusions of Hydrocarbon-Bearing Strata and Their Hydrocarbon Geological Significance in the Wuliyasitai Southern Sub-sag of the Erlian Basin, China.

The hydrocarbon-bearing inclusions, formation water, and crude oil contain a wealth of information regarding the process of accumulation of oil and gas. Their research has been one of the hotspots in the field of oil and gas geology. Chemical analysis data was systematically employed for the first time to identify the properties of liquid fluids in the oil-bearing system of the Wuliyasitai southern sag in the Erlian Basin. A biased lacustrine algal input was shown by the stable carbon isotopes (δ13C) of whole hydrocarbons, and the morphological characteristics of n-alkanes, isoprenoids, steranes, and terpenes were examined by gas chromatography-mass spectrometry. The δ13C values were determined by the salinity of the sedimentary water body and input of land-sourced materials. The signatures of the n-alkanes' molar fraction arrangement suggest that water washing, crystallization, and wax precipitation are regular occurrences in oil samples. The salinity of formation water and the proportion of characteristic biomarkers (gammacerane, β-carotene) demonstrate that the salinity of the ancient water body ranges from fresh water to brackish water. The correlation between the stratigraphic water's characteristic coefficients and the total dissolved solids (TDS) is strong, particularly for the desulfurization coefficient, which illustrates a better hydrocarbon storage environment when TDS is >6 g/L. The metamorphic coefficients demonstrate that the existing reservoir preservation circumstances are not optimal, and the TDS and concentration degree of formation water are positively connected to the increasing depth, indicating poor longitudinal connectivity. The influence of atmospheric water infiltration is responsible for the fluid inclusions' temperatures of homogenization (60 °C). However, due to deep burial, crude oil has not undergone secondary significant biodegradation despite the percolation of atmospheric water. Besides, the distribution of reservoirs is highly correlated with formation water parameters such as the TDS, which can provide scientific guidance for further exploration of oil and gas in the study area or even in the Erlian Basin.

Influence of Critical Zone Architecture and Snowpack on Streamflow Generation Processes: A Mountain‐Meadow Headwater System in a Mediterranean Climate

AbstractObservations from a granitic watershed within a Mediterranean climate reveal the hydrologic and critical zone functioning of a perennial stream headwater and its upslope contributing area within a meadow system in the Sierra Nevada, California. Chemical analysis (diagnostic tools of mixing models, end member mixing analysis, tritium, etc.) and physical data (stream stage, piezometers, soil water, snowpack, etc.) indicate there are two primary pathways of water input into a headwater stream sourced from a mountain meadow. One input is a shallower and younger subsurface pathway with water that resembles snowpack chemistry, and the other a deeper and older subsurface pathway with water that reflects the chemistry of the groundwater derived from the contributing hillslopes. Multi‐year observations reveal that regardless of snowpack amount, during the period of peak hillslope infiltration, shallow and deep pathways in the hillslope behave similarly to initiate headwater streams. However, during summer dry periods, similarities in active pathways within the meadow center are not maintained between high and low snowpack years. With less snow, perennial groundwater discharge within the meadow center is eliminated, becoming only a seasonal source at the meadow's outlet. At the meadow's edge, geophysically observed downslope thinning in saprolite thickness creates reduced lateral transmissivity and initiation points for headwater streams via enhanced groundwater discharge of upslope water. Combined, these findings suggest how loss of snowpack and critical zone structure can together mediate hydrologic function in a wet meadow system in a Mediterranean climate. Creating new understanding about the stability of hydraulic functioning in headwater wet‐meadow systems under a changing climate.