scholarly journals Quantification of Mycotoxins in Animal Milk from India (FS14-04-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rukshan Mehta ◽  
Sweekruthi Shetty ◽  
Melissa Fox Young ◽  
P Barry Ryan ◽  
Kannan Rangiah
Keyword(s):  
Tamil Nadu ◽  
Method Development ◽  
Matrix Effects ◽  
Southern India ◽  
Selected Reaction Monitoring ◽  
Indian States ◽  
Total N ◽  
Biologically Relevant ◽  
Milk Samples ◽  
Animal Milk

Abstract Objectives Animal milk can be contaminated with mycotoxins (secondary metabolites of fungi) through poor quality feed and may be a source of human exposure. Our objective was to develop and optimize a method to detect biologically relevant concentrations of 8 mycotoxins (Aflatoxins B1, B2, G1, G2, M1, M2; Ochratoxins A, B) in animal milk. Methods We used ultra-high performance liquid chromatography/tandem mass spectrometry using selected reaction monitoring (UHPLC/MS-SRM) to quantify mycotoxins in animal milk samples (total N = 38; n = 10 each from cow and commercial milk and n = 9 from buffalo and goat) from the southern Indian states of Karnataka and Tamil Nadu. Method development was conducted and stable isotope dilution employed, using AFB1-D3 for aflatoxins and OTA-D5 for ochratoxins. We validated the method and examined matrix effects, freeze-thaw and auto-sampler stability. Our dynamic ranges from quantification were between 7.8–5000 pg/mL. Results Among samples collected from Southern India, 8 of 10 cow [median 103.35 pg/mL; n = 3 > 500 pg/mL]; 0 of 9 buffalo and 10 of 10 commercial [median: 151.5 pg/mL], milk samples were above the LOQ. AFM2 was also seen in samples from both regions, but in lower quantities when compared to AFM1 [median (north): 25.8 pg/mL; median (south): 70.95 pg/mL]. All except 3 samples were below the LOQ (31.3 pg/mL) for OTA, however we detected a sodium adduct of OTA above LOQ, across samples. We found [Na-OTA] in goat milk [median: 5.9 ng/mL] > buffalo [median: 2.2 ng/mL] > commercial [median: 2.04 ng/mL] > cow [median: 0.8 ng/mL]. Other mycotoxins were seen in concentrations close to or below LOQ. We did not identify significant stability issues. Conclusions We developed a highly sensitive method with biologically relevant dynamic ranges for detection of mycotoxins in milk samples. We found AFM1, AFM2, and Na-OTA in milk samples from Southern India. Further studies with larger sample sizes are warranted to establish the extent of mycotoxin contamination in milk. Funding Sources Funded by University Research Committee, Emory University and International Society for Research in Human Milk and Lactation.

scholarly journals Effect of Fat on Protein Estimation in Milk and Its Correlation with Lactose in Different Milk Types: A Small-Scale Study

2020 ◽  
Author(s):  
Sweekruthi A. Shetty ◽  
Melissa F. Young ◽  
Sunita Taneja ◽  
Kannan Rangiah
Keyword(s):  
Sample Preparation ◽  
Human Milk ◽  
Internal Standard ◽  
Cow Milk ◽  
Selected Reaction Monitoring ◽  
Small Scale ◽  
Milk Samples ◽  
Protein Estimation ◽  
Animal Milk ◽  
Fat Removal

Background: Estimation of macronutrients like protein and lactose is important to assess the quality of milk. To estimate these two macronutrients, ten raw milk samples obtained from each group of different animals (cow, goat, buffalo), ten pasteurized cow milk and ten human milk samples were analysed. Methods: Bicinchoninic acid (BCA) method was used to estimate protein from different milk samples. Four different sample preparation protocols were compared to check the effect of fat on BCA based protein estimation: dilution (D), fat removal-protein precipitation (FR and PP), fat removal-dilution (FR and D) and dilution-fat removal (D and FR). For lactose quantification, ultrahigh-performance liquid chromatography-mass spectrometry-selected reaction monitoring (UHPLC-MS/SRM) method was developed and validated using 13C6 lactose as internal standard (ISTD).Result: Among these four different protocols, D and FR method showed consistent data for total protein content in animal milk (cow-3.16%, goat-3.21%, buffalo-3.81%, pasteurized-2.98%) and FR and PP showed consistent data in human milk samples (1.2%). Though BCA method is simple to use, proper sample preparation protocol has to be applied prior to protein estimation to avoid the interference due to fat or lactose. In case of lactose, inter-day validation showed the accuracy ranging from 97.13 to 100.54%, coefficient of variation varying between 0.1 to 1.53%, correlation R2=0.999. Lactose is in the range of 4.1 to 4.8% in animal milk and 6.6% in human milk samples. The internal ratio of lactose/protein (1.28 to 1.55 in animal milk and 5.33 in human milk) will be useful to differentiate human milk from animal milk type and to assess the milk quality.

scholarly journals Method Development and Validation for Ultra-High Pressure Liquid Chromatography/Tandem Mass Spectrometry Determination of Multiple Prostanoids in Biological Samples

2013 ◽  
Vol 96 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Rui Yu ◽  
Guiqing Zhao ◽  
John W Christman ◽  
Lei Xiao ◽  
Richard B van Breemen
Keyword(s):  
High Pressure ◽  
Method Development ◽  
Matrix Effects ◽  
Selected Reaction Monitoring ◽  
Calibration Model ◽  
Ultra High Pressure ◽  
Limit Of Quantitation ◽  
Liquid Chromatography Tandem Mass ◽  
Negative Electrospray Ionization ◽  
Development And Validation

Abstract Following oxygenation of arachidonic acid by cyclooxygenase to form prostaglandin H2 (PGH2), a variety of prostanoids can be generated with diverse physiologic effects on pain, inflammation, allergy, cardiovascular system, cancer, etc. To facilitate the quantitative analysis of prostanoids in human serum of cell culture, an ultra-high pressure LC (UHPLC)/MS/MS method was developed and validated for the measurement of six eicosanoids belonging to the cyclooxygenase pathway: PGE2, PGD2, 8-iso-PGF2α, PGF2α, 6-keto-PGF1α, and thromboxane B2 (TXB2 ). Selectivity, matrix effects, calibration model, precision, and accuracy (intraday and interday), lower limit of quantitation (LLOQ), recovery, stability, and sample dilution were evaluated. Fast UHPLC separation was carried out in only 0.5 min with isocratic elution, and each prostanoid was measured using negative electrospray ionization MS with collision-induced dissociation and selected reaction monitoring. UHPLC/MS/MS provided high throughput with peak widths of approximately 3 s and an LLOQ of 0.020 ng/mL for PGE2, 0.027 ng/mL for PGD2, 0.152 ng/mL for 8-iso-PGF2α, 0.179 ng/mL for PGF2α and 6-keto-PGF1α, and 0.013 ng/mL for TXB2.

Bioanalytical method development and validation of simultaneous analysis of telmisartan and hydrochlorthiazide in human plasma using LC-MS/MS

2016 ◽  
Vol 5 (03) ◽  
pp. 4862 ◽  
Author(s):  
Mathew George* ◽  
Lincy Joseph ◽  
Arpit Kumar Jain ◽  
Anju V.
Keyword(s):  
Human Plasma ◽  
Retention Time ◽  
High Performance ◽  
Method Development ◽  
Matrix Effects ◽  
Solid Phase ◽  
Internal Standard ◽  
Assay Method ◽  
Buffer System ◽  
Internal Standards

A simple, sensitive, rapid and economic high performance thin layer chromatographic method and a mass spectroscopic assay method has been developed for the quantification of telmisartan and hydrochlorthiazide combination in human plasma. The internal standards and analytes were extracted from human plasma by solid-phase extraction with HLB Oasis1cc (30mg) catridges. The scanning and optimization for the samples are done using methanol: water (50:50). The samples were chromatographed using reverse phase chromatography with C-18 column of different manufacturers like Ascentis C18 (150×4. 6, 5µ) using the buffer system Acetonitrile: Buffer (80:20%v/v) which consist of 2±0. 1Mm ammonium format at a flow rate of 0. 7ml/min at a column oven temperature 35±10c. The internal standard used was hydrochlorthiazide13c1, d2 and telmisartand3. The extraction techniques include conditioning, loading, washing and elution, drying followed by reconstitution of the dried samples. The volume injected was 10µl with the retention time of 3-4 min for telmisartan, 1-2 min for hydrochlorthiazide and for the internal standards the retention time was 3-4 min for telmisartand3 and 1-2 min for hydrochlorthiazide c13d2. The rinsing solution was Acetonitrile: HPLC grade water in the ratio (50:50). The above developed method was validated using various parameters like selectivity and sensitivity, accuracy and precision, matrix effects, % recovery and various stability studies. The method was proved to be sensitive, accurate, precise and reproducible. The preparation showed high recovery for the quantitative determination of telmisartan and hydrochlorthiazide in human plasma.

scholarly journals Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shrabanti Maity ◽  
Nandini Ghosh ◽  
Ummey Rummana Barlaskar
Keyword(s):  
Disease Management ◽  
Recovery Rate ◽  
Tamil Nadu ◽  
Health Determinants ◽  
Stochastic Production Frontier ◽  
Exogenous Variables ◽  
Indian States ◽  
Secondary Sources ◽  
Comparative Efficiency ◽  
Long Run

Abstract Background Currently, the novel coronavirus or COVID-19 pandemic poses the greatest global health threat worldwide, and India is no exception. As an overpopulated developing country, it is very difficult to maintain social distancing to restrict the spread of the disease in India. Under these circumstances, it is necessary to examine India’s interstate performances to combat COVID-19. This study aims to explore twin objectives: to investigate the comparative efficiency of Indian states to combat COVID-19 and to unfold the factors responsible for interstate disparities in the efficiency in combatting COVID-19. Methods The stochastic production frontier model was utilized for data analysis. The empirical analysis was facilitated by the inefficiency effects model, revealing the factors that influence interstate variability in disease management efficiency. Three types of variables, namely, output, inputs, and exogenous, were used to measure health system efficiency. The relevant variables were compiled from secondary sources. The recovery rate from COVID-19 was the output variable and health infrastructures were considered as the input variable. On the contrary, the non-health determinants considered to have a strong influence on the efficiency of states’ disease management, but could not be considered as input variables, were recognised as exogenous variables. These exogenous variables were specifically used for the inefficiency analysis. Results The empirical results demonstrated the existence of disparities across Indian states in the level of efficiency in combatting COVID-19. A non-trivial outcome of this study was that Tamil Nadu was the best performer and Manipur was the worst performer of the investigated states. Variables such as elderly people, sex ratio, literacy rate, population density, influenced the efficiency of states, and thus, affected the recovery rate. Conclusion This study argues for the efficient utilisation of the existing health infrastructures in India. Simultaneously, the study suggests improving the health infrastructure to achieve a long-run benefit.

Distribution of the Grey Slender Loris (Loris lyddekerianus Cabrera, 1908) in Tamil Nadu, Southern India

2016 ◽  
Vol 87 (5) ◽  
pp. 291-302 ◽  
Author(s):  
Honnavalli N. Kumara ◽  
R. Sasi ◽  
Subash Chandran ◽  
Sindhu Radhakrishna
Keyword(s):  
Tamil Nadu ◽  
Southern India ◽  
Slender Loris

scholarly journals Sample Preparation and Extraction in Small Sample Volumes Suitable for Pediatric Clinical Studies: Challenges, Advances, and Experiences of a Bioanalytical HPLC-MS/MS Method Validation Using Enalapril and Enalaprilat

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Bjoern B. Burckhardt ◽  
Stephanie Laeer
Keyword(s):  
Sample Preparation ◽  
Solid Phase Extraction ◽  
Method Development ◽  
Matrix Effects ◽  
Solid Phase ◽  
Scale Up ◽  
Small Sample ◽  
Positive Pressure ◽  
Phase Extraction ◽  
Bioanalytical Method

In USA and Europe, medicines agencies force the development of child-appropriate medications and intend to increase the availability of information on the pediatric use. This asks for bioanalytical methods which are able to deal with small sample volumes as the trial-related blood lost is very restricted in children. Broadly used HPLC-MS/MS, being able to cope with small volumes, is susceptible to matrix effects. The latter restrains the precise drug quantification through, for example, causing signal suppression. Sophisticated sample preparation and purification utilizing solid-phase extraction was applied to reduce and control matrix effects. A scale-up from vacuum manifold to positive pressure manifold was conducted to meet the demands of high-throughput within a clinical setting. Faced challenges, advances, and experiences in solid-phase extraction are exemplarily presented on the basis of the bioanalytical method development and validation of low-volume samples (50 μL serum). Enalapril, enalaprilat, and benazepril served as sample drugs. The applied sample preparation and extraction successfully reduced the absolute and relative matrix effect to comply with international guidelines. Recoveries ranged from 77 to 104% for enalapril and from 93 to 118% for enalaprilat. The bioanalytical method comprising sample extraction by solid-phase extraction was fully validated according to FDA and EMA bioanalytical guidelines and was used in a Phase I study in 24 volunteers.

scholarly journals Medicinal Plants Used to Heal Wound in Karandamalai of Dindigul District in Tamil Nadu, Southern India

2021 ◽  
Vol 11 (2) ◽  
pp. 72-75
Author(s):  
N Yasothkumar
Keyword(s):  
Wound Healing ◽  
Medicinal Plants ◽  
Tamil Nadu ◽  
Southern India ◽  
Mode Of Administration ◽  
Therapeutic Uses ◽  
Research Theme ◽  
Treatment Of Wounds ◽  
Scientific Name

Due to the presence of antibiotic or antiseptic nature’s chemicals, plants are remarkable for the treatment of wounds. Having this fact as research theme, the present study was carried out to document the therapeutic uses of medicinal plants used to heal wound in Karandamalai of Dindigul district in Tamil Nadu. The frequent fieldwork was conducted from October 2019 to January 2020 for this study. The scientific name, family name, local name (in Tamil), part(s) used, mode of preparation, and mode of administration of medicine were recorded. A total of 24 medicinal remedies prepared from 24 plants were recorded. Further research on the phytochemistry and pharmacology of these medicinal plants should be conducted. Keywords: Medicinal plants, Wound healing, Karandamalai, Dindigul district, Tamil Nadu.

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