The giant gypsum crystals of Naica cave have fascinated scientists since their discovery in 2000. Human activity has changed the microclimate inside the cave, making scientists wonder about the potential environmental impact on the crystals. Over the last 9 years, we have studied approximately 70 samples. This paper reports on the detailed chemical–structural characterization of the impurities present at the surface of these crystals and the experimental simulations of their potential deterioration patterns. Selected samples were studied by petrography, optical and electronic microscopy, and laboratory X-ray diffraction. 2D grazing incidence X-ray diffraction, X-ray μ-fluorescence, and X-ray μ-absorption near-edge structure were used to identify the impurities and their associated phases. These impurities were deposited during the latest stage of the gypsum crystal formation and have afterward evolved with the natural high humidity. The simulations of the behavior of the crystals in microclimatic chambers produced crystal dissolution by 1–4% weight fraction under high CO2 concentration and permanent fog, and gypsum phase dehydration under air and CO2 gaseous environment. Our work suggests that most surface impurities are of natural origin; the most significant anthropogenic damage on the crystals is the extraction of water from the caves.
The ANAELU program is part of the current trend towards 2D diffraction patterns processing. ANAELU is open source, distributed under MPL license. In its initial version this program was basically oriented to the characterization of axial textures by means of the qualitative comparison between modeled and observed 2D patterns. The basic conception of the program is that the user proposes the crystalline structure of the phase under study and the inverse pole figure of the considered texture. With this data, using the tools of mathematical texture analysis, the program simulates and graphically represents the 2D-XRD pattern of the model sample. An important feature of the considered patterns is the distribution of intensities along the Debye rings. The visual comparison between observed and calculated patterns is the criterion of correctness of the proposed model. The program has been successfully used in the characterization of minerals, alloys and functional ceramics. Some limitations that have been detected in the use of ANAELU are the limited number of input formats that it is able to read, the program relative slowness, the non-consideration of the diffraction background, the poor portability, the non-consideration of crystalline imperfections and its qualitative criterion of fitness. The present update consists in the improvement of the raised aspects. ANAELU-2.0 presents the following innovations. -A new GUI has been created, in WxPython, associated with a system for reading experimental patterns through the FABIO library. The current system reads patterns in the most internationally used formats -The calculation of diffraction patterns, from the generation of the unit cell to the diffracted intensities, has been translated to FORTRAN 2003 with systematic use of the CRYSFML library. This change reduces the running time by one order. -Various routines (Laplacian softening, spherical harmonics) have been introduced to model the two-dimensional background.-The current version, ANAELU2.0, can be distributed by means of stable executable packages in Windows, LINUX and IOS wraped by MiniConda. -ANAELU-2.0 includes routines for the modeling of the reciprocal space associated with imperfect crystals and their projection in two-dimensional diffraction-scattering patterns. With the achieved improvements ANAELU is now able to perform the 2D quantitative evaluation of observed-calculated adjustment and in this manner it is approaching the idea of a two-dimensional Rietveld code. Fuentes-Montero, L., M. Elena Montero-Cabrera, and L. Fuentes-Cobas, 2011, The software package ANAELU for X-ray diffraction analysis using two-dimensional patterns: Journal of Applied Crystallography, v. 44,
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.