Academic literature on the topic 'Adulterated samples'
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Journal articles on the topic "Adulterated samples"
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Florea, Anca, Jonas Schram, Mats de Jong, Joy Eliaerts, Filip Van Durme, Balwinder Kaur, Nele Samyn, and Karolien De Wael. "Electrochemical Strategies for Adulterated Heroin Samples." Analytical Chemistry 91, no. 12 (May 22, 2019): 7920–28. http://dx.doi.org/10.1021/acs.analchem.9b01796.
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Zhao, Haixiang, Yongli Wang, Xiuli Xu, Heling Ren, Li Li, Li Xiang, and Weike Zhong. "Detection of Adulterated Vegetable Oils Containing Waste Cooking Oils Based on the Contents and Ratios of Cholesterol, β-Sitosterol, and Campesterol by Gas Chromatography/Mass Spectrometry." Journal of AOAC INTERNATIONAL 98, no. 6 (November 1, 2015): 1645–54. http://dx.doi.org/10.5740/jaoacint.15-053.
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Abstract A simple and accurate authentication method for the detection of adulterated vegetable oils that contain waste cooking oil (WCO) was developed. This method is based on the determination of cholesterol, β-sitosterol, and campesterol in vegetable oils and WCO by GC/MS without any derivatization. A total of 148 samples involving 12 types of vegetable oil and WCO were analyzed. According to the results, the contents and ratios of cholesterol, β-sitosterol, and campesterol were found to be criteria for detecting vegetable oils adulterated with WCO. This method could accurately detect adulterated vegetable oils containing 5% refined WCO. The developed method has been successfully applied to multilaboratory analysis of 81 oil samples. Seventy-five samples were analyzed correctly, and only six adulterated samples could not be detected. This method could not yet be used for detection of vegetable oils adulterated with WCO that are used for frying non-animal foods. It provides a quick method for detecting adulterated edible vegetable oils containing WCO.
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RUKUNDO, ISAAC R., and MARY-GRACE C. DANAO. "Identifying Turmeric Powder by Source and Metanil Yellow Adulteration Levels Using Near-Infrared Spectra and PCA-SIMCA Modeling." Journal of Food Protection 83, no. 6 (February 7, 2020): 968–74. http://dx.doi.org/10.4315/jfp-19-515.
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ABSTRACT Turmeric sourced from six retailers was processed into a powder and adulterated with metanil yellow (MY) at concentrations of 0.0 to 30% (w/w). A handheld near-infrared spectrometer was used to obtain spectral scans of the samples, which were preprocessed using Savitzky-Golay first-derivative (SG1) approximation using 61 smoothing points and second-order polynomial. The preprocessed spectra were analyzed using principal component analysis (PCA) followed by classification by soft independent modeling class analogy (SIMCA) and were used to group the adulterated turmeric powder samples according to the source (i.e., processor) of adulteration. Results showed the first principal component (PC1) of PCA models was sensitive to adulteration level, but when coupled with SIMCA, unadulterated and adulterated samples could be classified according to their source despite having high levels of MY. At 5% level of significance, all of the samples were correctly classed for origin during validation. Some samples were classified under two groups, indicating possible inherent similarities. When the PCA model was built using only unadulterated samples, the PCA-SIMCA model could not classify the adulterated samples but could classify those with very low levels (≤2%, w/w) of MY, allowing for segregation of adulterated samples but not identification of sources. The combination of near-infrared and PCA-SIMCA modeling is a great tool not only to detect adulterated turmeric powder but also, potentially, to deter it in the future because the source of adulterated food can be traced back to the source of adulteration. HIGHLIGHTS
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Le Nguyen Doan, Duy, Quoc Cuong Nguyen, Federico Marini, and Alessandra Biancolillo. "Authentication of Rice (Oryza sativa L.) Using Near Infrared Spectroscopy Combined with Different Chemometric Classification Strategies." Applied Sciences 11, no. 1 (January 1, 2021): 362. http://dx.doi.org/10.3390/app11010362.
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Rice is a staple food in Vietnam, and the concern about rice is much greater than that for other foods. Preventing fraud against this product has become increasingly important in order to protect producers and consumers from possible economic losses. The possible adulteration of this product is done by mixing, or even replacing, high-quality rice with cheaper rice. This highlights the need for analytical methodologies suitable for its authentication. Given this scenario, the present work aims at testing a rapid and non-destructive approach to detect adulterated rice samples. To fulfill this purpose, 200 rice samples (72 authentic and 128 adulterated samples) were analyzed by near infrared (NIR) spectroscopy coupled, with partial least squares-discriminant analysis (PLS-DA) and soft independent modeling of class analogies (SIMCA). The two approaches provided different results; while PLS-DA analysis was a suitable approach for the purpose of the work, SIMCA was unable to solve the investigated problem. The PLS-DA approach provided satisfactory results in discriminating authentic and adulterated samples (both 5% and 10% counterfeits). Focusing on authentic and 10%-adulterated samples, the accuracy of the approach was even better (with a total classification rate of 82.6% and 82.4%, for authentic and adulterated samples, respectively).
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Hong, Victor, and Ronald E. Wrolstad. "Detection of Adulteration in Commercial Cranberry Juice Drinks and Concentrates." Journal of AOAC INTERNATIONAL 69, no. 2 (March 1, 1986): 208–13. http://dx.doi.org/10.1093/jaoac/69.2.208.
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Abstract Thirty-one samples of commercial cranberry juice drink and one sample of commercial cranberry juice concentrate were analyzed for nonvolatile acids and anthocyanidin profiles by liquid chromatography (LC). Ultraviolet-visible spectral measurements were used to measure pigment concentration, polymeric color, and percent polymeric color. Nineteen of the 31 samples analyzed were found to be adulterated. The adulterated samples exhibited nonvolatile organic acid profiles indicative of added malic and/or citric acid. Anthocyanidin profiles of the adulterated samples showed the presence of substantial quantities of delphinidin and malvidin, neither of which are present in cranberries in significant amounts. Grape skin extract is believed to be the added colorant.
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K., Abidfaheem T., Baby S. Nayak, and Maxie Andrade. "FOOD ADULTERATION AND FAMILY'S KNOWLEDGE ON FOOD ADULTERATION IN SELECTED VILLAGE OF UDUPI TALUK, KARNATAKA." Journal of Health and Allied Sciences NU 03, no. 02 (June 2013): 033–37. http://dx.doi.org/10.1055/s-0040-1703650.
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AbstractA cross sectional survey was under taken among 75 families using structured knowledge questionnaire and observation technique. The collected data was analysed using SPSS version 16. The study findings showed that majority (60%)of the subjects had moderate knowledge on food adulteration. Out of 75 samples tested, 2.7% chili powder samples were adulterated with artificial color and 10.7% of the common salt samples were adulterated with insoluble impurities. In tea powder 12 % were adulterated with iron fillings and 2.7% 2 were adulterated with artificial color. There was significant association of knowledge score on food adulteration with age (X2 (2) =8.627 p= (2), 2 0.013) and educational status (X2 (4) =9.876, p= 0.043) of the respondents. The study concludes that the food adulteration even though (4) low, still it is existing. However awareness of the public in relation to food adulteration should be ongoing especially to the general public with lower level of education.
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Khamsopha, Duangkamolrat, and Sontisuk Teerachaichayut. "Detection of Adulteration of Tapioca Starch with Dolomite by near Infrared Hyperspectral Imaging." Key Engineering Materials 862 (September 2020): 46–50. http://dx.doi.org/10.4028/www.scientific.net/kem.862.46.
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Tapioca starch adulterated with dolomite is sold in markets, but this adulteration cannot be identified by normal visual inspection. Near infrared (NIR) hyperspectral imaging has been successfully used as a non-destructive method of identifying various characteristics of food, therefore it was tested to identify dolomite adulteration. Adulterated tapioca starch samples were prepared by adding dolomite in the range of 0.5-100% (wt/wt). Samples (N=400) of pure tapioca starch (0) and adulterated tapioca starch (1) were divided into calibration set (N=300) and a prediction set (N=100). All samples were scanned using NIR hyperspectral imaging (935-1720 nm) and spectra were pre-processed using Savitzky-Golay first derivative differentiation pretreatment in order to obtain the optimal conditions for establishing a classification model. Partial least squares-discriminant analysis was carried out to evaluate the accuracy of classification tapioca starch adulterated with dolomite. The results showed the total accuracy of prediction for classification was 100%. Therefore, NIR hyperspectral imaging was demonstrated to have a potential for use in detecting adulteration of tapioca starch with dolomite.
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J.M.N. Marikkar. "Principal Component Analysis of Fatty Acid Data to Detect Virgin Coconut Oil Adulteration by Palm Olein." CORD 34, no. 1 (October 1, 2018): 9. http://dx.doi.org/10.37833/cord.v34i1.24.
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Authentication of virgin coconut oil (VCO) is important to safeguard customers from adulteration practices. A study was carried out to distinguish VCO from VCO adulterated with palm olein (PO) using principal component analysis (PCA) of fatty acid (FA) compositional data. Six samples of VCO, and six samples of palm olein were obtained from oil producers’ companies in Malaysia. Six samples of adulterated VCO were prepared by mixing with palm olein in 5% increment of adulteration. Fatty acid compositions of all oil samples were determined individually and the data were analyzed statistically. PCA analysis showed that lauric, palmitic and oleic acids were the most influencing parameters to discriminate VCO from adulterated VCO. Out of the thirteen FA variables investigated, ten were found to display high correlation with increasing adulteration. Predictive models showing higher coefficient of determination (R2) and good confidence limits were useful for quantification purposes.
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Aliaño-González, María José, Marta Ferreiro-González, Estrella Espada-Bellido, Miguel Palma, and Gerardo F. Barbero. "A Screening Method Based on Headspace-Ion Mobility Spectrometry to Identify Adulterated Honey." Sensors 19, no. 7 (April 4, 2019): 1621. http://dx.doi.org/10.3390/s19071621.
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Nowadays, adulteration of honey is a frequent fraud that is sometimes motivated by the high price of this product in comparison with other sweeteners. Food adulteration is considered a deception to consumers that may have an important impact on people’s health. For this reason, it is important to develop fast, cheap, reliable and easy to use analytical methods for food control. In the present research, a novel method based on headspace-ion mobility spectrometry (HS-IMS) for the detection of adulterated honey by adding high fructose corn syrup (HFCS) has been developed. A Box–Behnken design combined with a response surface method have been used to optimize a procedure to detect adulterated honey. Intermediate precision and repeatability studies have been carried out and coefficients of variance of 4.90% and 4.27%, respectively, have been obtained. The developed method was then tested to detect adulterated honey. For that purpose, pure honey samples were adulterated with HFCS at different percentages (10–50%). Hierarchical cluster analysis (HCA) and principal component analysis (PCA) showed a tendency of the honey samples to be classified according to the level of adulteration. Nevertheless, a perfect classification was not achieved. On the contrary, a full classification (100%) of all the honey samples was performed by linear discriminant analysis (LDA). This is the first time the technique of HS-IMS has been applied for the determination of adulterated honey with HFCS in an automatic way.
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Smithson, Shayla, Boluwatife Fakayode, Siera Henderson, John Nguyen, and Sayo Fakayode. "Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis hypogaea) Oils." Foods 7, no. 8 (July 31, 2018): 122. http://dx.doi.org/10.3390/foods7080122.
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The intake of adulterated and unhealthy oils and trans-fats in the human diet has had negative health repercussions, including cardiovascular disease, causing millions of deaths annually. Sadly, a significant percentage of all consumable products including edible oils are neither screened nor monitored for quality control for various reasons. The prospective intake of adulterated oils and the associated health impacts on consumers is a significant public health safety concern, necessitating the need for quality assurance checks of edible oils. This study reports a simple, fast, sensitive, accurate, and low-cost chemometric approach to the purity analysis of highly refined peanut oils (HRPO) that were adulterated either with vegetable oil (VO), canola oil (CO), or almond oil (AO) for food quality assurance purposes. The Fourier transform infrared spectra of the pure oils and adulterated HRPO samples were measured and subjected to a partial-least-square (PLS) regression analysis. The obtained PLS regression figures-of-merit were incredible, with remarkable linearity (R2 = 0.994191 or better). The results of the score plots of the PLS regressions illustrate pattern recognition of the adulterated HRPO samples. Importantly, the PLS regressions accurately determined percent compositions of adulterated HRPOs, with an overall root-mean-square-relative-percent-error of 5.53% and a limit-of-detection as low as 0.02% (wt/wt). The developed PLS regressions continued to predict the compositions of newly prepared adulterated HRPOs over a period of two months, with incredible accuracy without the need for re-calibration. The accuracy, sensitivity, and robustness of the protocol make it desirable and potentially adoptable by health departments and local enforcement agencies for fast screening and quality assurance of consumable products.
Dissertations / Theses on the topic "Adulterated samples"
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Lebel, Philippe. "Développement de méthodes de dépistage des médicaments de contrefaçon et des produits adultérés par LC-MS/MS." Thèse, 2014. http://hdl.handle.net/1866/11910.
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Ce projet de maitrise implique le développement et l’optimisation de deux méthodes utilisant la chromatographie liquide à haute performance couplée à la spectrométrie de masse en tandem (HPLC-MS/MS). L'objectif du premier projet était de séparer le plus rapidement possible, simultanément, 71 médicaments traitant la dysfonction érectile (ED) et 11 ingrédients naturels parfois retrouvés avec ces médicaments dans les échantillons suspectés d’être adultérés ou contrefaits. L'objectif du deuxième projet était de développer une méthode de dépistage permettant l'analyse rapide simultanée de 24 cannabinoïdes synthétiques et naturels pour une grande variété d'échantillons tels que les mélanges à base de plantes, des bâtons d'encens, de sérums et de cannabis. Dans les deux projets, la séparation a été réalisée en moins de 10 min et cela en utilisant une colonne C18 à noyau solide 100 x 2,1 mm avec des particules de 2,6 µm de diamètre couplée à un système MS avec trappe ionique orbitale fonctionnant en électronébulisation positive. En raison du nombre élevé de composés dans les deux méthodes et de l’émergence de nouveaux analogues sur le marché qui pourraient être présents dans les échantillons futurs, une méthode de dépistage LC-MS/MS ciblée/non-ciblée a été développée. Pour les deux projets, les limites de détection étaient sous les ng/mL et la variation de la précision et de l’exactitude étaient inférieures de 10,5%. Le taux de recouvrement à partir des échantillons réels variait entre 92 à 111%. L’innovation des méthodes LC-MS/MS développées au cours des projets est que le spectre de masse obtenu en mode balayage lors de l'acquisition, fournit une masse exacte pour tous les composés détectés et permet l'identification des composés initialement non-ciblés, comme des nouveaux analogues. Cette innovation amène une dimension supplémentaire aux méthodes traditionnellement utilisées, en permettant une analyse à haute résolution sur la masse de composés non-ciblés.This master’s project involved the development and optimization of two rapid liquid chromatography tandem mass spectrometry (LC-MS/MS) methods. The objective of the first project was to simultaneously separate, as rapidly as possible, 71 erectile dysfunction (ED) treatment drugs and 11 natural ingredients sometimes found alongside ED drugs present in suspected adulterated or counterfeit samples. The objective of the second project was to develop a screening method allowing rapid, simultaneous analysis of 24 synthetic and natural cannabinoids for a wide variety of samples such as herbal smoking mixtures, incense sticks, serums and Cannabis plant material. In both projects, the separations were achieved in ≤ 10 min using 2.6 µm fused-core C18 particles packed into a 100 x 2.1 mm column coupled to an LTQ Orbitrap XL mass spectrometer operated in positive electrospray mode. Because of the very high number of compounds in both methods and the knowledge that future analogues are always immerging on the market that could thus be present in samples, a targeted/untargeted LC-MS/MS screening method was developed. For both projects, detection limits were in the sub ng/mL range and intra- and inter-assay precisions were below 10.5%. Recovery from real samples ranged from 92 to 111%. The innovation of the developed LC-MS/MS methods is that the full scan event in the MS acquisition provides accurate masses for all detected species and thus allows post-analysis identification of initially untargeted compounds, i.e., the immerging analogues. This innovation adds an additional dimension to traditional MS/MS methods, allowing high mass resolution of untargeted compounds.
Conference papers on the topic "Adulterated samples"
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Ejofodomi, O'tega, Godswill Ofualagba, and Donatus Uchechukwu Onyishi. "Adulteration Detection of Petroleum Products at Point of Sale POS Terminals." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207101-ms.
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Abstract In the Oil and Gas Industry, price disparity between Premium Motor Spirit (PMS), Automotive Gas Oil (AGO), and Dual Purpose Kerosene (DPK), often leads to adulteration of these petroleum products by marketers for monetary gains. Adulteration is the illegal introduction of a foreign undesirable substance to a substrate which affects the quality of the substrate. Adulteration of petroleum products are difficult to detect at Point of Sale (POS) terminals. Current methods for adulteration detection are time-consuming, require specialized equipment and experienced technicians to operate them, and cannot be used at POS terminals. Gaseous Vapor Technique (GVE) is an innovative adulteration detection technique that can be employed at POS terminals and the PePVEAT device utilized in this study is the first portable electronic device that performs GVE on petroleum products. GVE testing was performed on pure 1 L samples of PMS, AGO, and DPK obtained from the Nigerian National Petroleum Corporation (NNPC) using PePVEAT. The results obtained from GVE analysis of AGO, PMS, and DPK showed that the three petroleum products exhibited unique and varying chemical characteristics during GVE. AGO gives off its peak emissions between 10-20 seconds from test onset, DPK gives off its peak emissions between 10-30 seconds from test onset, and PMS gives off its peak emissions between 50-70 seconds from test onset. AGO emits 17.52-46.58 ppm of methane, 5.35-11.93 ppm of LPG, 35.51-84.6 ppm of butane, and 10.38-69.86 ppm of toluene. PMS emits 92,063.67-152,168.18 ppm of methane, 301.035-573.61 ppm of LPG, 2210.89-3424.94 ppm of butane, and 1983.02-7187.29 ppm of toluene. DPK emits 27.13-62.14 ppm of methane, 20.2-74.1 ppm of LPG, 120.41-1635.85 ppm of butane, and 1159.75- 1633.09 ppm of toluene. These variations in timing and concentrations of emissions shows that GVE can be utilized to detect and distinguish between AGO, PMS and DPK. The results obtained from GVE analysis of AGO, PMS, and DPK showed that Since PMS, AGO and DPK, each have unique chemical emissions during GVE, as was demonstrated in this paper, it is possible that GVE can be utilized to detect the adulterations of PMS with AGO and the adulteration of AGO with DPK. Future work involves investigating the ability of GVE to detect AGO-adulterated PMS, DPK-adulterated AGO, DPK-adulterated PMS, AGO-adulterated DPK,and PMS-adulterated DPK. The degree and percentage of adulteration that can be detected using the GVE technique will also be examined.
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Simons, A., and E. K. Gbadam. "Analysis of Properties of Adulterated Fuel and Its Effects on Internal Combustion Engines and the Environment: A Case Study Tema Metropolitan Assembly, Tema, Ghana." In ASME 2010 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/icef2010-35047.
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This paper seeks to investigate the sources and the level of fuel contamination in the Ghanaian market and its effects on internal combustion engines and the environment. A survey was conducted in and around the Tema Metropolitan Assembly to collect samples of fuels from different retailers without letting them know the intentions of the buyer (that these are for research). Experiments were carried out at Tema Oil Refinery (TOR), Tema, Ghana, on the two conventional fuels collected from these sources. The analysis of the results showed that fuel from the fuel tank and “Zamelama” (small scale petrol retailers) filling station had the highest level of contamination as far as the experiment on petrol (gasoline) was concerned. With the diesel fuel experiment, most of the values obtained were high but within the standard range at the refinery. Information obtained from questionnaires given to fuel tanker drivers, mechanics and sales persons at various filling stations indicated that the adulteration is done using Naphtha and Kerosene. Consequently, other experiments were carried out at TOR using different proportions of Naphtha and Kerosene and the resultant properties as a result of the adulteration were analyzed. It was observed that the adulterated fuels have undesirable properties such as High Gum Content, low Research Octane Number (RON) and Reid Vapour Pressure (RVP) values which may lead to engine damage and pollution of the environment due to increased exhaust emissions. Considering the results of the experiment, it can be concluded that Petrol adulterated with Naphtha or Kerosene should not be used in Internal Combustion Engines. This is because of its undesirable properties such as higher Gum content, lower RON and RVP values which lead to engine damage and pollution of the environment due to increased exhaust emissions.
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Olotu, Olabisi, Sunday Isehunwa, Bola Asiru, and Zeberu Elakhame. "Development of a Real–Time Petroleum Products Aduteration Detector." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207127-ms.
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Abstract Adulteration of petroleum products with the resultant safety, health, environmental and economic impact is a challenge in Nigeria and many developing countries. While the commonly used techniques by regulatory agencies and some end-users for quality assurance of petroleum products are time-consuming and expensive. This study was therefore designed to develop a device for real-time detection of petroleum products adulteration. Samples of petrol, diesel and kerosene were collected; samples of water, naphtha, alcohol, pure and used lubricating oil, and High Pour Fuel Oil (HPFO) were collected and used as liquid contaminants while saw dust, ash and fine sand were used as solid particulates. At temperatures between 23-28°C (1°C interval), binary mixtures were prepared using the pure products with liquid contaminants (95:5, ..,5: 95 V/V) and with particulates (0, 2, 4, 6, 8,10 g). New mixing rules were developed for the SG and IFT of the binary liquid mixtures and compared with Kay mixing rule. Developed mathematical models of the physical-chemical properties were used to simulate a meter designed and constructed around a microcontroller with multiple input/output pins and a load cell sensor. The SG and IFT of the pure liquid and solid binary mixtures ranged from 0.810 to 1.020, 25.5 to 47.2 dynes/cm and 0.820 to 1.080 and 26.3 and 50.2 dynes/cm respectively. For products contaminated with solid particulates, SG varied between 0.860 and 0.990. The new mixing rule gave coefficient of 0.84 and 27.8 for SG and IFT compared with 0.83 and 25.6 of Kay's model. Adulteration of products was detected at 20-30% by volume and 10-20% by mass of contamination, and displayed RED for adulterated samples, GREEN for pure samples and numerical values of SG in digital form which were within ±0.01 % of actual measurements. A device for real-time detection of adulteration in petroleum products was developed which can be adapted to real-time evaluation of similar binary mixtures.
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Mondal, T. K., and S. Das. "Discrimination of various Milk adulterated sample using Linear Discrimination Analysis(LDA)." In 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030388.
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