Wet Samples Research Articles

Distribution and source assignments of polycyclic aromatic and aliphatic hydrocarbons in sediments and biota of the Lafayette River, VA.

The Lafayette River comprises a tidal sub-estuary constrained by an urban watershed that is bounded by residential areas at its upper reaches and port activity at its mouth. We determined the concentrations and distributions of polycyclic aromatic hydrocarbons (PAHs) and aliphatic n-alkanes across 19 sites from headwaters to river mouth in surface sediments (0-2cm). Potential atmospheric sources were investigated through the analysis of wet and dry deposition samples and intact coals from a major export terminal nearby. The potential consequences for human consumption were examined through analysis of native oyster (Crassostrea virginica) and blue crab tissues (Callinectes sapidus). A suite of up to 66 parent and alkyl-substituted PAHs were detected in Lafayette sediments with total concentrations ranging from 0.75 to 39.00µgg-1 dry wt. Concentrations of aliphatic n-alkanes (n-C16 - n-C31) ranged from 4.94 to 40.83μgg-1 dry wt. Source assignment using diagnostic ratios and multivariate source analysis suggests multiple sources contribute to the hydrocarbon signature in this metropolitan system with automotive and atmospheric transport of coal dust as the major contributors. Oyster tissues showed similar trends as PAHs observed in sediments indicating similar sources to water column particles which ultimately accumulate in sediments with crabs showing altered distributions as a consequence of metabolism.

Study of the evolution of drying-induced flow properties for pulverised cassava grits

Determining the bulk flow properties of pulverised cassava grits is in high demand as designing efficient handling and drying systems remains a bottleneck step in the cassava value chain. A shear tester was used to collect the shear-to-failure data for samples taken at three drying stages. The flow properties were estimated based on the nonlinear Warren-Spring yield loci. The cassava grits' morphology and particle size distribution were also examined by scanning electron microscopy, mechanical sieving, and laser diffraction analysis. Drying reduced the cohesion and tensile strength, respectively, from 1.88 to 0.87 kPa to 0.16 and 0.12 kPa under 4.8 kPa of consolidation normal stress. Based on the flow function index (1/ ffc ), the very cohesive (0.66 < 1/ ffc <0.86) wet sample with 46% wet-based moisture content evolved to cohesive (0.29 < 1/ ffc <0.43) at 31% of moisture content. It eventually approached a free-flowing (0.07 < 1/ ffc <0.15) state towards the end of the drying process at 14% moisture content. • Samples were mashed using rotary abrasive surface and rotary cutting blade methods. • Pulverised cassava grits were dried from 46% to 14% wb. using a convection dryer. • Morphology and size features of grits were studied using sieving, SEM, and LDA. • Shear testing conducted using PFT over 0.418–4.892 kPa range of consolidation. • Water content and grits sizes determines the flowability during the drying process. Cohesion and tensile strength increase with moisture content up to 1.8 kPa and 0.87 kPa, respectively.

Qualitative Test of Identification of Borax in Wet Noodles at Traditional Markets in Palembang City

Food is a basic need of human life. Cases of food poisoning and infectious diseases caused by food continue to increase. Borax is a derivative of the heavy metal boron (B) and is generally used as a preservative and bactericidal. One of the tests that can be done to identify foods that contain borax is a test with curcumin paper and a borax test kit. Aim: This research is to identify the presence of borax in wet noodles with a qualitative test in a traditional market in the city of Palembang. Method: The type of research used in this research is descriptive qualitative. Is a type of research that provides an overview or description of the identification of borax in wet noodles. Sampling in this study used primary data by taking samples directly from food vendors who have wet noodles in the 16 Ilir market, Palembang. Sampling used a total sampling technique that met the inclusion criteria. Result: The physical test results showed 16 samples of noodles with a chewy texture, for the color parameter, 13 samples with yellow color were obtained, for the durability parameter, 12 samples lasted 24 hours, and for the olfactory parameter, 16 samples does not have a pungent odor, for the curcumin paper test, 16 samples were yellow and for the borax kit test, 16 samples were orange. C onclusion : The physical test and qualitative test with curcumin paper and the borax kit test showed that there were no wet noodle samples containing borax in 16 ilir market Palembang. Keywords: Borax, Food, Wet noodles

A COMPARISON OF TREE-BASED REGRESSION MODELS FOR SOIL MOISTURE ESTIMATION USING SAR DATA

Abstract. Soil moisture content plays a pivotal role in biomass development of vegetation coverage at various growth stages. Moisture content of the soil is considered as a crucial parameter for agricultural studies which directly leads to higher fertility rate. Remote sensing techniques, specifically Synthetic Aperture Radar (SAR) sensors, provides suitable opportunity for continuous soil moisture monitoring at various spatial and temporal resolutions. In this study, field campaigns conducted to measure soil surface parameters, including soil moisture and roughness, synchronized with Sentinel-1 pass over an agricultural region near Mohammadshahr, Iran. Fieldwork for soil moisture sampling have done during plants’ (canola and winter wheat) growth stages. The Gradient Boosted Regression Tree (GBRT), eXtreme Gradient Boosted (XGB), and Random Forest (RF) machine learning algorithms were employed to model the relationship between the ground measured soil moisture and polarimetric SAR derived features from Sentinel-1 imageries. The results showed promising results obtained for soil moisture estimation using the dual-polarized SAR dataset over crop-covered agricultural fields with R2 = 0.95 and RMSE = 0.023 m3 m−3 using the GBRT regression model.

Model-based simulations of pulsed laser ablation using an embedded finite element method

A model of thermal ablation with application to multi-pulsed laser lithotripsy is presented. The approach is based on a one-sided Stefan–Signorini model for thermal ablation, and relies on a level-set function to represent the moving interface between the solid phase and a fictitious gas phase (representing the ablated material). The model is discretized with an embedded finite element method, wherein the interface geometry can be arbitrarily located relative to the background mesh. Nitsche’s method is adopted to impose the Signorini condition on the moving interface. A bound constraint is also imposed to deal with thermal shocks that can arise during representative simulations of pulsed ablation with high-power lasers. We report simulation results based on experiments for pulsed laser ablation of wet BegoStone samples treated in air, where Begostone has been used as a phantom material for kidney stone. The model is calibrated against experimental measurements by adjusting the percentage of incoming laser energy absorbed at the surface of the stone sample. Simulation results are then validated against experimental observations for the crater area, volume, and geometry as a function of laser pulse energy and duration. Our studies illustrate how the spreading of the laser beam from the laser fiber tip with concomitantly reduced incident laser irradiance on the damaged crater surface explains trends in both the experimental observations and the model-based simulation results.

Influence of the filling ratio of vial in chemical surface and physicochemical properties of ZnO nanoparticles obtained by planetary ball milling process

The production of nanoparticles (Np) is an important sector in current technological development. Processes such as high‐energy grinding are among the most promising because of their high efficiency and low energy cost. In this sense, the filling ratio of vial (FRV) is one of the most interesting and poorly studied process variables that can optimize the production of Np on a large scale. In the present work, dry ZnO Np are produced, with different FRV values (40%, 38%, 23%, and 10%), as well as wet samples. The results show that the variation of the FRV allows to generate an energetic increase of the grinding, modifying the morphology, the particle size, and the surface area of the ZnO powders, without generating structural or chemical changes. The X‐ray diffraction (XRD) results show the presence of the zincite phase (hexagonal) with a variation in crystallinity depending on the FRV, which is due to the deformation of the Np during the process. The XPS results showed a slight chemical shift (variation in binding energy) as a function of grinding because of the activation shown by deformation. UV–VIS analyses showed a marked increase in the magnitude of absorbed intensity for all analyzed samples compared with the commercial powder. These results confirm that FRV is a sensitive parameter in the process of obtaining ZnO Np by the planetary mill technique, which allows efficient control of its characteristics for a given application.

Synthesis, Characterization of Bio-based Polyol and Assess the Effectiveness of Bio-based Polyurethane Direct-to-metal Coating System

Crude oil is neither a long-lasting energy source nor a raw material source, has a high consumption rate relative to a low regeneration rate and creates massive environmental disorders. Polyurethane is well known and is the most popular film forming material in the coating industry because of its better performance. A coconut oil-based polyol (biobased polyol) was synthesized and acid value, viscosity, reaction water release, oil length, FTIR spectrum, differential scanning calorimetry and colourimetric index were assessed during the synthesis. A series of pigmented wet paint samples were prepared by bio-based polyol and the optimum paint sample was selected among them based on drying time, pencil hardness, dry film thickness, cross hatch test and cylindrical mandrel blending. Two wet PU paint samples, representing commercially available crude oil-based polyols, were prepared to compare in the same aspects with a PU paint sample made with a bio-based polyol (BBP). According to the results, it was proven that bio-based PU paint showed equal magnitudes in film flexibility due to the cylindrical mandrel bending test, film hardness due to the pencil hardness test, substrate adhesion due to the crosshatch test and impact resistance. In some properties, bio-based PU exceeded at least one crude oil-based PU such as gloss, hard drying time and density. Meanwhile, bio-based PU systems must be improved in viscosity and water resistance to compete with artificial PU systems.

An Experimental Study of Composite Columns Filled with Eucalyptus nitens Timber under Axial Compression

Eucalyptus nitens (E. nitens) has been much used for producing paper but also shows promise for structural applications. In this study, static compressive tests were undertaken to examine its suitability to be used in an innovative composite column. The composite column was comprised of a rectangular steel tube with E. nitens timber infill. The nonlinear compressive behaviour of the composite column filled with E. nitens wood for both dry and wet conditions was examined. The same tests on rectangular steel tubes and bare dry and wet E. nitens samples were also undertaken as a comparison. For samples with different conditions, the ultimate capacity was evaluated and the effect of each condition on the compressive behaviour of the composite column was clarified. The steel tubes showed greater ductile behaviour, and more ductility was found in the wet samples. The steel tubes with E. nitens timber infill samples exhibited a greater linear elastic range connected with higher maximum loads, while the bare timber samples could support only lower maximum loads. The results from this research were promising for the use of rectangular steel tubes with E. nitens timber infill in structural applications.

Quality attributes of ghee residue prepared using Deoni and Holstein Friesian crossbred cow milk as influenced by method of preparation

Ghee residue (GR), a dairy by-product, was found to be nutrient dense. The ghee residue composition could be affected by clarification temperature, method of ghee preparation and breed of the cow. So, the present study was conducted to know whether the clarification temperature (110°C and 120°C),methods of ghee preparation (direct cream and creamery butter),and breed of the cow (Indigenous Deoni and Holstein Friesian crossbred) can affect the composition of ghee residue. The moisture, protein, fat, lactose and ash content of various ghee residue samples prepared from the milk of Deoni and HF crossbred cows varied from 10.50±0.22 to 14.65±0.1, 13.49±3.37 to 34.17±3.37,51.61±0.86 to 67.69±0.09, 9.44±0.06to14.15±0.22 and 1.89±0.03to5.59±0.41%, respectively. Further, the phospholipid content and antioxidant activity varied from 3.18 to 15.09 and 27.04 to 67.86%,respectively. In this study, it was found that temperature of clarification had a significant (p&lt;0.05) effect on moisture, lactose, ash, hydroxy methyl furfural (HMF) and browning index. The clarification temperature significantly affected the protein, fat, lactose, ash, phospholipids and antioxidant activity. The protein, fat and browning index of ghee residue were also significantly different for the breeds. Thus, it can be concluded that GR’scomposition was affected by breed and method of ghee preparation.

DEVELOPMENT AND QUALITY EVALUATION OF BANANA CAKE INCORPORATED WITH ALMOND FLOUR, WHOLE-WHEAT FLOUR

The present experiment entitled “Developmentand quality evaluation of Banana cake incorporated with Almond flour, and Whole-wheat flour” was carried out in food technology lab, department of Dairy technology, Sam Higginbottom University of Agricultural technology and science, during summer session 2022-2023. The experiment was laid out in Random block design (RBD) with 4 treatment and 5 replications. The different treatment combinations were prepared, i.e; T (80% All-purpose flour + 20% Banana), T(30% Almond flour + 40% Whole-wheat flour + 30% Banana), T(30% Almond flour + 30% Whole-wheat flour + 40% Banana), T(30% Almond flour + 20% Whole-wheat flour + 50% Banana). The research study was conducted to identify most suitable blend of almond flour and whole wheat flour as a replacement of all-purpose flour. So, three formulations were developed T- (30:40:30); T - (30:30:40) and T - (30:20:50). And T (control banana cake) (The ratio of all-purpose flour and banana pulp is 80:20). The treatments were evaluated for various organoleptic characteristic, physico-chemical parameters, nutritional value analysis and microbial evaluation. After sensory evaluation Banana cake having T (30:30:40) was found to have highest overall acceptability score of 8.72. On the basis of physico-chemical analysis the development of Banana cake sample moisture contains (26.80%), total solids (73.20%), Carbohydrate (57.48%), protein (5.64%), fat (8.84%), ash (1.64%), and dietary fiber (10.18%) is highest. On the basis of minerals analysis shown vitamin-B6 (0.65%) and potassium (456.30%).

Research on influencing factors and remedial measures of coal seam water blocking effect

Coalbed methane development primarily relies on hydraulic fracturing and drainage gas extraction processes. The intrusion of external fluids and long-term drainage and extraction contribute to the water blocking effect, which becomes one of the crucial factors affecting production capacity. In this study, the coal reservoir of a certain coalbed methane in Hancheng, Shaanxi Province, was selected as the research object. The experimental method was employed to comprehensively evaluate the correlation between factors such as coal sample moisture content, permeability, porosity, properties of external liquids, and water blocking damage. The results indicated that there was a positive correlation between coal sample moisture content, liquid surface tension, and water blocking damage. On the other hand, coal sample pore permeability characteristics, liquid contact angle with rock samples, and water blocking damage showed a negative correlation. Building upon the aforementioned research, an investigation into remedial measures for water blocking damage was conducted. Additionally, a chemical treatment study using the compound surfactant system JSS-1 as a water-blocking agent was performed to manage the water blocking effect. The results demonstrated that JSS-1 as a water-blocking agent significantly reduced the surface tension of the wellbore fluid and improved its wetting behavior on the coal-rock surface. The laboratory experiments confirmed the capability of JSS-1 in managing the water blocking effect.

Experimental Design for the Propagation of Smoldering Fires in Corn Powder and Cornflour

Corn is an example of an agricultural grain with a specific combustibility level and can promote smoldering fires during storage. This paper conducts an experimental design to numerically evaluate how three parameters, namely particle size, moisture, and air ventilation, influence the smoldering velocity. The work methodology is based on Minitab’s experimental design, which defined the number of experiments. First, a pile of corn is heated by a hot plate and a set of thermocouples registers all temperature variations. Then, a full-factorial experiment is implemented in Minitab to analyze the smoldering, which provides a mathematical equation to represent the smoldering velocity. The results indicate that particle size is the most influential factor in the reaction, with 35% and 45% variation between the dried and wet samples. Moreover, comparing the influence of moisture between corn flour and corn powder samples, a variation of 19% and 31% is observed; additionally, analyzing the ventilation as the only variant, we noticed variations of 15% and 17% for dried and wet corn flour, and 27% and 10% for dried and wet corn powder. Future studies may use the experimental design of this work to standardize the evaluation methodology and more effectively evaluate the relevant influencing factors.

Antioxidant activity of nanoencapsulated chia (Salvia hispanica L.) seed extract and its application to manufacture a functional cheese.

The study aimed to produce a functional ricotta cheese with chia seed extract (CSE) nanocapsules. First, the CSE was encapsulated using lecithin and basil seed gum, and its characteristics and antioxidant activity (AA) were evaluated. The free CSE (F-CSE) and encapsulated CSE (E-CSE) were then added to ricotta cheese formulation (1.5 and 3.0% w/w). The samples were kept for 15 days in a refrigerator and their physicochemical, sensory properties, AA, and oxidative stability were examined. The particle size, polydispersity index, zeta potential, and encapsulation efficiency of CSE nanocapsules were 59.23 nm, 0.328, -44.47 mV, and 80.06%, respectively. The CSE showed remarkable AA in vitro. The AA of F-CSE was higher than E-CSE. The moisture, dry matter, fat, and protein content of cheese samples were in the range of 52.64%-53.31%, 46.69%-47.36%, 19.02%-19.28%, and 16.88%-17.02%, respectively. The color of F-CSE cheeses was slightly yellower than control; however, they did not have clear color differences. During storage, the acidity, hardness, chewiness, and peroxide value of cheeses increased, while the pH, total phenol content, and AA decreased (p < .05). The addition of CSE reduced the rate of pH and acidity changes during storage and significantly increase the AA and oxidative stability. Initially, F-CSE cheeses had higher functional activity, but on other storage days, due to the protective effect of coating materials, the functional activity of E-CSE samples was higher. The CSE, especially E-CSE, did not have an adverse effect on the sensory properties of cheese. Based on the results of this study, it can be concluded that it is possible to manufacture a functional cheese using E-CSE.

Influence of terms and methods of storage on changes in enzyme activity of meadow chernozem-like soil on Zeya-Bureya plain

The analysis of the biological and enzymatic properties of soils is an important aspect of soil ecology, but the results of studies can be strongly influenced by the storage conditions of the samples. Variation in storage methods and duration studies reduces the ability to accurately interpret data and compare results. This work presents a study of the influence of various storage conditions and time on the results of the activity of enzymes of hydrolase class (urease, phosphatase), and oxidoreductases class (catalase, peroxidase and polyphenoloxidase) of meadow chernozem-like soil of the Zeya-Bureya plain. For the research, a laboratory experiment was performed, in which naturally moist and air-dry samples were taken and stored under various conditions: room temperature (+23 – +25 °С), low positive temperature (refrigerator, +10 °C), negative temperature (freezer, –10 °С) within 7, 28, 90 and 365 days. As a result, we found that drying soil samples immediately after sampling increases the activity of urease, phosphatase, peroxidase and polyphenoloxidase. Storage conditions do not significantly affect the activity of enzymes. To assess the actual enzymatic activity, we recommend using naturally moist soil samples immediatel y after sampling; to assess potential enzymatic activity, drying the soil and storing it for no more than 7 days are recommended. The results of this study provide useful information on the impact of sample storage conditions for researchers of enzyme activity in similar climates and contribute to further consideration and discussion of the implications of sample storage.

Manifestation of Microplastics in Cat Chow under Microscopic Examination

Microplastics content in pet food is a substantial alarm to the raising growth of microplastics in the green environment. In this present study, the existence of synthetic microplastics in cat nutrition samples was produced in Thailand. A total quantity of 50 cat food samples was analyzed to estimate the microplastics via food consumption. The dry and wet cat food samples, 25 of each of them were prepared by putting 80 ml of the sample in 80 ml of water. And the blend was kept in a microwave at 800 W for 3 minutes, mashed, and filtered by means of a 1 mm filter. A tablespoonful of these squashed samples was stored and chosen for analysis through the microscope with 100x enlargement power. The photographs of these trials were recorded by means of the cellular phone lens and were equated with the snapshots of PET constituent parts. Analytical approaches still need to be improved for the proper regaining of microplastics for quantitative evaluation. Thus, research on cat food is crucial to estimate microplastic consumption and lessen this exposure.

Two Forms of Ice Identified in Mars-like Clay Using Neutron Spectroscopy

The capacity of clay minerals to store large amounts of water is utilized in a number of industrial and environmental applications on Earth, for example, as components in geosynthetic clay liners in landfills or ingredients in water-based drilling fluids, and could prove important on Mars to identify future human landing sites where water could be harvested. The subzero behavior of water interacting within the interlayer space of clay minerals is of particular interest in most applications but remains poorly understood. To better understand the hydrothermal mechanism by which water ice bonds and separates from clay interlayers, we have utilized neutron spectroscopy, spectral analysis, and phonon band assignment. The inelastic neutron scattering from sodium montmorillonite, hydrated at 24, 73, and 166% water content, as well as an oven-dried sample, were measured to assess the vibrational density of states. The water contents studied provide a range of pore dimensions within clay gels that have varying degrees of confinement. The type of ice formed from water held in larger intra- and interparticle pores differs substantially from that confined within the interlayer (pseudo-two-layer hydrate), and the differences vary with hydration level. Spectral subtraction over an energy transfer range 50 < E < 550 cm–1 (8 < E < 70 meV) produces clearly two different forms of ice: hexagonal and cubic in the two wetter samples. A form of interfacial ice, presumably of a lower density, is observed in the vibrational density of states spectrum of the sample hydrated to a pseudo-two-layer hydrate (ie 24% gravimetric water content (GWC), 10 H2O/Na+). No hexagonal or cubic ice is observed in this sample. The four vibrational modes within the translation band of hexagonal ice are apparent within the sample hydrated to 166% gravimetric water content, in which pores greater than 20 nm are largely water-filled. By considering hydrogen bonding of the water to the clay surface, our data indicate an increase in the strength of the H-bond due to a shorter distance to the hydroxyl. We attribute this decrease to the pores in the clay generating a localized negative pressure or “suction” effect, thus attracting the water.

Evaluation of Pressure and Temperature Sensitivity of Heavy Oil Sands in North Sea through Laboratory Measurement and Rock-Physical Modeling

Summary We investigate the elastic properties of heavy oil sands from the North Sea through laboratory measurements and rock-physical modeling. Four samples are measured under changing pressure and temperature conditions, during which the velocity and porosity variations are recorded and analyzed. The pore fluids effect (saturation) is also investigated through comparing the dry and wet sample measurements. Besides, the influence of pressure type (pore pressure vs. confining pressure) is studied by comparing the measurements under the same differential pressure but different confining and pore pressures. Measurement results reveal that pressure and temperature have significant influences on the porosity and velocity of the samples; fluid saturation significantly increases the P-wave velocity while it slightly decreases the S-wave velocity; different pressure types cause evident differences in the P-wave velocities. In the rock-physical modeling, we apply four theoretical models and improve the modeling results by integrating the variations of porosity and pore fluids moduli at different pressures and temperatures. Comparison with measured data justifies that the updated modeling results improve the prediction, and among the four models, cementation theory achieves the best prediction results. This study quantitatively characterizes the pressure- and temperature-dependent elastic properties of North Sea heavy oil sands, which can provide a better understanding of the in-situ properties and also facilitate future exploration and production monitoring of the heavy oil reservoirs.

To the issue of forecasting the main parameters of carbons’ quality based on the vector simulation

During the prospecting the quality parameters, except for ash content, are specified by core samples and laboratory methods (geological sampling). Nevertheless, while prospecting the receipt of the representative sample with all its specified parameters being identical to the parameters of the carbon layer is difficult because of partial core recovery, its choking, etc. So, it is highly necessary to specify and to forecast the parameters of carbons’ quality by “indirect” methods which depend on sample representativeness. According to the experience that we have in specifying ash content by the data of the geophysical bore-hole logging (GBL), it is the geophysical sampling that meets this requirement. However, the deterrent of the use of the GBL data for specifying and forecasting of carbons’ quality parameters is the necessity of taking into consideration of a great number of factors (genetic and epigenetic ones) which can not be analyzed using the current mathematical methods. Only the vector simulation solved this task and helped to use the results of geophysical bore-hole logging for forecasting the parameters of carbons’ quality in full measure. The vector simulation will allow to enhance reliability and informativity while forecasting the main parameters of carbons’ quality in the rock mass according to the GBL data at the stage of geological exploration. While systematizing the geological and geophysical information the developed mathematical model, presented by structural vectors of system’s transient states, will enable to take into account some genetic and epigenetic factors in total. These factors influence the reliability of forecasting about such main parameters of the carbons’ quality as ash state, yield of volatile matters, moisture of analysis sample, thickness of plastic layer in the layers where geological sampling is not conditioning.

Preacetylation of wood filler in composite materials production

The increasing swelling pressure of wood filler, occurring during the use of a composite material, leads to the formation of internal microcracks, therefore, reducing the hygroscopicity of the wood filler is an urgent task. This paper considers the wood filler preacetylation technology in wood-polymer composite materials production. Wood particles were acetylated by soaking them in acetic anhydride, followed by heating in a vacuum drying cabinet at 120°C for 40, 180, and 360 minutes. Polylactide in various binder-modified wood filler ratios was used as a polymer matrix in wood-polymer composite samples. The resulting samples were examined for moisture and water absorption. It was found that with a maximum treatment time of 360 minutes moisture and water absorption of samples with 40% wood filler content did not exceed those of a composite with 20% unmodified wood filler content, which proves the effectiveness of acetylation. The results of the research conducted allow expanding the scope of use of additive manufacturing products.

Estimation of the sensory properties of black tea samples using non-destructive near-infrared spectroscopy sensors

The quality characteristics of black tea are routinely assessed before it is purchased, blended and marketed to ensure its quality and value. Although some of these quality characteristics can be measured analytically, others need to be determined as sensory scores following cupping tests conducted by tea experts. However, most of these analyses (especially the sensory ones) require high training and expertise, are time-consuming and prone to human error. Therefore, in this study, non-destructive spectral sensors were combined with chemometric methods to rapidly measure the results of the cupping test (appearance, body, colour and overall quality) and some other important sensory quality attributes (bulk density, cellulose, water extract and moisture) of black tea samples. A total of 54 black tea samples from Türkiye were analysed in three different NIRS (near-infrared spectroscopy) devices (MicroNIR™ 1700, Matrix-F FT-NIR and NIRS DS 2500). Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) with stepwise variable elimination were used as regression algorithms to develop the NIR calibrations. As a result, PLSR provided slightly superior estimates with Rcv2 between 0.83 and 0.97 and RPDcv between 2.47 and 5.79 for sensory traits. For analytical traits, model statistics for PLSR ranged between 0.66-0.89 and 1.72–3.08 for Rcv2 and RPDcv, respectively. These results suggest that PLSR combined with FT-NIR technology may be promising for rapid and economical evaluation of sensory (cupping test) scores and related properties for its use in the tea industry.