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Analytical procedures to be used in pharmaceutical quality control have to be validated strictly in accordance with highly formalized standards and guidance. Manuscripts submitted for publication presenting new procedures must therefore describe the corresponding validation characteristics and the validation approach and procedure accordingly. Interestingly, many of these manuscripts and — what is worse — already published (and therefore accepted) articles in various periodicals are characterized by several typical methodological failures and misconceptions — even though authors have regularly been informed of such mistakes in the hope they can be avoided. The corresponding ICH guideline seems to be well-known, and is frequently cited in these manuscripts, but to some extent is not fully understood and is even partially neglected. In this paper the authors present a collection of typical failures, misconceptions, and misleading data captured as reviewers and readers of published articles over the last two years, thus giving a survey of the most frequent problems of TLC/HPTLC validation. Moreover, the authors provide a list of references describing optimum approaches to validation of specific TLC/HPTLC procedures. We suggest these are followed in addition to the general concepts of the ICH guideline.

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-base drilling mud, homogenizing fillers in the plastic industry and for the purpose of gelling of various organic liquids. They are also used in cleaning operations of drainage wastewater, oil-spill, and so on. This manuscript will summarize some of the basic

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This manuscript presents a typical analytical application of ion-exchange resins in mixed solvent media for the separation and determination of a number of trace elements in high purity scandium, where direct instrumental approach for its characterization/analysis is difficult. This work demonstrated, how a few beads of ion exchange resin could be effectively used for the pre-concentration of the separated trace elements for their determination using neutron activation analysis (NAA). Radiotracer and standard addition methods were used for validation.

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The present manuscript reviews the use of amines (primary, secondary and tertiary chains and quaternary ammonium salts) as extracting agents for the quantitative determination of actinides in biological samples. Among the primary amines, only Primene, JM-T is used to determine Pu in urine and bone. No one has investigated the possibility of using secondary amines to quantitatively extract actinides from biological samples. Among the tertiary amines, tri-n-octylamine, tri-iso-octylamine, tricaprylamine (Alamine) and trilaurylamine (tridodecylamine) are used extensively to extract and separate the actinides from biological samples. Only one quanternary ammonium salt, methyltricapryl ammonium chloride (Aliquat-336), is used to extract Pu from biological samples.

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We present examples of the application of the X-ray fluorescence (XRF) to the study of the artistic and cultural patrimony of the Comunidad Valenciana in the following areas: a) Valencian paintings of the XV and XVI centuries; b) silver ornaments coming from Iberian towns (s. III b.C.); c) ink and paper samples in manuscripts and engravings of the XVII and XIX centuries. The non destructive analyses are carried out “in situ” using a XRF system that consists of a tube of X-rays of 50 kV and 1 mA, and a detector of Si(Li) with an energy resolution 140 eV (FWHM at 5.9 keV).

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In this short communication, a recent article published in the Journal of Thermal Analysis and Calorimetry, which presents an erroneous conclusion based on incorrect calculations, is critically discussed. Since the observations made in that report are based on part of the content of a publication of my authorship, trying to reject some expressions I presented, obviously it came to my attention. This brief note emphasizes that some of the arguments used and the main conclusion stressed in the manuscript under discussion are wrong and must be dismissed.

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This manuscript presents a method for categorizing gamma-ray spectra as indicative of benign or threat sources. Reported here is a method of spectral comparison ratios (SCR), which is useful in the targeted detection of specific gamma-ray signature classes. SCRs discriminate between benign and target sources by comparing counts in broad energy bins that are pre-determined using statistical discrimination criteria. The integral component of the SCR method is the location and interdependence of the energy bins, and this work discusses the statistical methods used for choosing their locations along with decision criteria that maximally separate targets from benign sources.

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