Ways to Measure Metals: From ICP-MS to XRF.

Purpose Of Review: This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation.

Bone lead measurements of live condors in field to assess cumulative lead exposure.

Lead poisoning remains the leading cause of diagnosed death for critically endangered California condors, which are annually monitored for lead exposure via blood tests. Blood tests are generally reflective of acute lead exposure. Since condors are victims to both chronic and acute lead exposure, measuring bone, which in humans is reflective of years to decades worth of exposure, is a valuable biomarker.

Neutron activation analysis of sediments of the Padma River adjacent to Rooppur Nuclear Power Plant: Elemental and multivariate statistical approach.

This study investigated the major and trace element concentrations in the sediments of the Padma River adjacent to the under-construction Rooppur Nuclear Power Plant to have baseline elemental concentration data. Instrumental Neutron Activation Analysis (INAA) was used to determine a total of twenty-three elements (Al, As, Ca, Ce, Co, Cr, Cs, Dy, Eu, Fe, Hf, La, Mn, Na, Sb, Sc, Sm, Ti, Th, U, V, Yb, and Zn). The calculation of the enrichment factor, geo-accumulation index, and pollution load index revealed that most of the sediment samples were minor to moderately contaminated by twelve elements (As, Ca, Ce, Cs, Dy, Hf, La, Sb, Sm, Th, U, and Yb).

Serum glucose, urea nitrogen, cholesterol, and total proteins in crossbred repeat breeder and normally cyclic cows.

Objective: This study was designed to determine and compare the serum glucose, urea nitrogen, cholesterol, and total protein (TP) level in crossbred repeat breeder (RB) and normally cyclic cows to find out the relationship of these metabolic factors with repeat breeding syndrome (RBS).

Materials And Methods: A total of 592 breedable cows from 34 farms were examined from Mymensingh and Chittagong districts. Seventy cows were identified as RB cows and another 10 cows were randomly selected as normally cyclic control cows for this study.