Next Article in Journal
Crystal Growth of LiNa5Mo9O30 Crystals of High Optical Quality
Previous Article in Journal
Fabrication and Characterization of Fe-Doped SnSe Flakes Using Chemical Vapor Deposition
Previous Article in Special Issue
Identification of Some Gem-Quality Red and Green Feldspars
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Near-Infrared Spectroscopic Study of Secondary Minerals in the Oxidation Zones of Copper-Bearing Deposits

1
School of Gemology, China University of Geosciences, Beijing 100083, China
2
Sciences Institute, China University of Geosciences, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Crystals 2024, 14(9), 791; https://doi.org/10.3390/cryst14090791
Submission received: 26 July 2024 / Revised: 1 September 2024 / Accepted: 5 September 2024 / Published: 7 September 2024

Abstract

:
This study measured the infrared spectra of secondary minerals in the oxidation zones of three types of copper ores: dioptase, malachite, and azurite, and assigned the peak positions of OH stretching vibrations and the origins of OH combination vibrations. Dioptase contains three types of water molecules with different orientations within its ring channels, which exhibit six kinds of OH stretching vibrations in the 3000–3600 cm−1 range; the bond length range is 2.652 to 2.887 Å. Among them, the 3443 cm−1 band shows strong near-infrared activity and combines with Si–O vibrations or OH bending vibrations in the structure, resulting in five combination vibration peaks in the 4000–5000 cm−1 range. Malachite contains two inequivalent hydroxyls in its structure, leading to two OH stretching vibrations in the high-frequency region located at 3314 and 3402 cm−1, respectively. Azurite contains only one type of hydroxyl, and thus only one characteristic OH stretching vibration is present at 3424 cm−1. The OH stretching vibrations of malachite and azurite mainly combine with [CO3]2− vibrations or OH bending vibrations, leading to six and five combination peaks in the OH combination vibration region, respectively. By analyzing the combination of peak positions at 4341 cm−1 in the near-infrared spectrum, the merged OH bending vibration at 921 cm−1 in azurite was discovered. Spectroscopic research on secondary minerals can better provide a basis for ore exploration and geological remote sensing.

1. Introduction

Copper is one of the earliest metals utilized by humans and continues to play an irreplaceable role in modern human society. Copper ores come in various types, such as porphyry, skarn, and shale, among others [1]. The characteristics and scales of these different types of deposits are highly complex. Utilizing secondary copper minerals in the oxidation zone for exploration is an effective method of prospecting. Typically, in the upper oxidation zone of copper ore deposits, minerals such as cuprite, chalcopyrite, azurite, and malachite are found, which can coexist and transform into each other under certain conditions. They typically exhibit vivid colors, making them easily identifiable. They also inherit the geochemical characteristics of the original deposits [2]. These minerals are also commonly used in pigments and are frequently encountered in archaeology and material science. Those with good form and color can also be used as gemstones or mineral specimens.
Dioptase [Cu6(Si6O18)·6H2O] is a copper silicate hydroxide with six-membered (Si6O18) rings. It is almost exclusively restricted in its occurrence to the oxidation zones of copper-bearing deposits in arid climates. Its ring structure is composed of six silicate tetrahedra that fold into a triangular ring, with six water molecules forming a distorted version of this ring [3]. These water molecules are situated within the silicate ring structure, which is coordinated by copper atoms both laterally and longitudinally (Figure 1a) [4].
Spectroscopy is an invaluable tool for investigating the crystal structures of minerals. Changes observed in infrared and Raman spectroscopy indicate that the crystal structure of dioptase remains largely unchanged at 600 °C [4,5,6] or under pressures of 14.5 GPa [7,8]. This suggests that dioptase has a high degree of stability. The gradual loss of water molecules within channels over a broad temperature range as the temperature increases is also noteworthy. A study by Ruan [9] of infrared and Raman spectroscopy of dioptase from Namibia and the Democratic Republic of the Congo revealed that the vibrational frequencies of the ring anions increase with widening of the Si–O–Si bond angles. As a result, variations in composition can lead to minor changes in the crystal structure framework, which in turn cause shifts in the frequency and intensity of the spectral bands that reflect the crystal structure framework. This characteristic can be exploited to discern compositional differences through spectral variations, thus differentiating the environmental conditions under which the mineral formed.
Malachite [Cu2(CO3)(OH)2] and azurite [Cu3(CO3)2(OH)2] are two fundamental copper carbonate minerals characterized by their chain-like structures. [CO3] groups form these chain structures by coordinating with cations and (OH) polyhedral (as Figure 1b,c). Current spectroscopic research on malachite and azurite predominantly focuses on Raman spectroscopy [10,11,12], which allows for a detailed assignment of Raman bands to corresponding vibration groups. Xu [13] and colleagues also studied the Raman spectral changes of azurite under high pressure at room temperature, providing insights into the behavior of hydroxide under extreme conditions. However, it is difficult to distinguish secondary copper minerals from surrounding minerals, especially clay minerals, using only Raman spectroscopy. Their spectra often exhibit a high level of background noise, which can obscure Raman signals. And the peak position may shift due to the very close characteristic wavenumber [12].
Combining Raman with an infrared spectrum can solve the recognition problem more effectively. Schmidt [14] studied the infrared and Raman spectra of basic copper salts, and detailed the changes following deuterization and 13C substitution. Schuiskii [15] conducted an infrared spectroscopic study of natural and synthetic malachite in the range of 400–4000 cm−1, meticulously assigning peaks to their respective vibration groups. The near-infrared region (NIR, generally 4000–12,500 cm−1) can reflect the vibration characteristics of combination bands of hydroxyl and metal ions, as well as the overtone bands of water and some functional groups in minerals. However, there is still a relative scarcity of research on infrared, especially near-infrared, spectroscopy for these minerals.
Figure 1. (a) The silicate ring structure and internal water molecules of dioptase. Note that water molecules and the silica ring are not in the same plane (modified according to Ribbe [3]); (b) the crystal structure of malachite, in which there are two kinds of hydroxyl groups (modified according to Süsse [16]); (c) the crystal structure of azurite (modified according to Belokoneva [17]). O–H bonds in three mineral structures are marked in green.
Figure 1. (a) The silicate ring structure and internal water molecules of dioptase. Note that water molecules and the silica ring are not in the same plane (modified according to Ribbe [3]); (b) the crystal structure of malachite, in which there are two kinds of hydroxyl groups (modified according to Süsse [16]); (c) the crystal structure of azurite (modified according to Belokoneva [17]). O–H bonds in three mineral structures are marked in green.
Crystals 14 00791 g001
This study investigates the mid-infrared (MIR) and near-infrared spectra of dioptase, malachite, and azurite. The findings are applicable to the identification of and research on minerals and archaeology. Although X-ray fluorescence spectrometry (XRF), X-ray powder diffraction (XRD), and other technologies can also distinguish the minerals, infrared technology may be more convenient and safer. Additionally, the correlation between mid-infrared and near-infrared spectra is an intriguing area of study. The research also provides a detailed discussion on the assignment of OH vibrational spectral peaks in the near-infrared region, attempting to rationalize the origins of these composition bands. Careful measurement and interpretation of the infrared spectra of secondary copper minerals may be crucial for mineral exploration, research, and the interpretation of geological remote sensing data.

2. Materials and Methods

Samples were sourced from the National Mineral Rock and Fossil Resource Center (NIMRF) of China (Figure 2). Dioptase (CT-dio) is a single crystal originating from the Tsumeb region in Namibia, exhibiting an idiomorphic rhombohedral form. Malachite (KO-mal) and azurite (LT-azu) are aggregates collected from the Daye area in Hubei, China. Azurite forms a sphere with columnar single crystals visible under magnification; malachite crystals are fibrous and have an overall crustaceous structure.
Isomorphism commonly occurs in minerals, and impurity elements can affect the results of spectroscopic experiments to varying degrees. Before this study, the samples were analyzed using micro-X-ray fluorescence, and the results indicated that the samples generally contained elements such as Al, Fe, Ca, Cl, etc., at generally low concentrations (Table 1). The azurite sample contained higher amounts of silicon and aluminum, which may be due to the azurite sample being an aggregate with a small amount of country rock or inclusions mixed in. Before testing, the samples were pulverized and purified under a microscope to ensure the accuracy of the spectra.
Fourier-transform infrared spectroscopy (FTIR) measurements were performed at room temperature, using a Bruker Tensor II spectrometer, Germany at the laboratory of NIMRF. The samples were ground into 200 mesh powders in an agate mortar and dried at a low temperature (60–80 °C, which is not enough to affect the water molecules in silicate rings or structural hydroxyl) to remove surface-adsorbed water. The spectra were collected in transmission mode in a tablet of KBr. The mid-infrared scanning range was 400~4000 cm−1, with a resolution of 4 cm−1. The near-infrared scanning range was 4000~8000 cm−1, with a resolution of 8 cm−1. Each spectrum was averaged from 64 scans to improve the signal-to-noise ratio. If a mineral particle size is larger than or close to the infrared wavelength, the infrared light will be affected by multiple scattering within the particles, resulting in an interference effect that reduces the signal strength [18,19]. In this study, the ratio of sample to KBr was increased to enhance the signal and achieve satisfactory results.

3. Results

As shown in Figure 3, vibration of the silicon–oxygen framework is mainly in 400–1200 cm−1 of dioptase, and peaks of weak hydroxyl bending vibration appear in 1400–1700 cm−1. Malachite and azurite show various peaks of Cu–O stretching and [CO3] stretching vibrations in 400–1600 cm−1. The obvious difference is that malachite exhibits two types of OH stretching vibration in the high-frequency region, whereas azurite has only one.
The 3000–3600 cm−1 region corresponds to the O–H stretching vibration area. Due to the superposition of multiple spectral peaks, the shape of the spectrum is relatively complex. Therefore, peak fitting was performed to determine the accurate number and position of spectral peaks, as shown in Figure 4. The peak fitting process utilized Peakfit v4.12 software, employing a combination of Gauss + Lorentz Area functions, with a correlation coefficient r2 > 0.98 between the fitting function and the original function. The fitting results were verified and calibrated using the second derivative [20,21,22]. The specific method is the same as Wu [23].
Dioptase in this region exhibits six characteristic peaks, with the strongest absorption located at 3373 cm−1. Frost [4] attributes all peaks to stretching vibrations of water in silicate rings. The different vibrational frequencies are due to the varying distances between the O–O and H–O bonds [24,25,26,27,28]. He tested the OH stretching vibration position and calculated the corresponding hydrogen bond distance of dioptase from different origins. In this paper, the OH stretching vibration peak position and hydrogen bond distance were fitted by data from Frost [4] (shown in Table S1 and Figure S1):
y = 6.4240 × 10−7 x2 − 0.0037x + 7.9978
where x is the OH stretching vibration peak position, and y is the corresponding hydrogen bond distance (Å). The formula coefficient takes four digits after the decimal point to meet the accuracy requirements; r2 = 0.941. The hydrogen bond distance corresponding to the OH stretching vibration of dioptase in this paper was calculated according to the regression equation. The bond length range is 2.652–2.887 Å. See Table 2 for the specific distribution.
Malachite shows four peaks in this region, with the main absorptions located at 3314 and 3402 cm−1. In the structure of malachite, there are two inequivalent hydroxyl groups with bond lengths of 0.92 ± 0.2 Å and 1.05 ± 0.14 Å [16]. Due to the increased bond length, the frequency of the stretching vibrations decreases, and the wavenumber correspondingly decreases. Thus, the peak at 3314 cm−1 in malachite is assigned to the OH2 stretching vibration, and the peak at 3402 cm−1 is assigned to the OH1 stretching vibration. The remaining two peaks located at 3229 and 3494 cm−1 are attributed to the stretching vibrations of adsorbed water and the M–OH stretching vibrations caused by isomorphous substitution, as these two positions do not always exhibit characteristic peaks in other studies, or the shift and intensity of the absorption peaks near these positions vary significantly with different samples. Azurite contains only one type of hydroxyl group [17], and, therefore, the peak at 3424 cm−1 is assigned to the OH stretching vibration, with the remaining peaks also considered to be stretching vibrations of adsorbed water or M–OH. The intensity of the 3481 cm−1 peak is extremely weak and does not always exist in studies of azurite. It was assigned to metal (not Cu)–OH stretching vibration due to trace impurity elements. The specific assignments of the peak positions are shown in Table 2.
As depicted in Figure 5a, the near-infrared spectra of the three minerals primarily exhibit absorption bands in the 4000–5200 cm−1 region, which are attributed to the combination of hydroxyl stretching vibrations and other vibrational absorptions. The spectral characteristics in the near-infrared region are not pronounced, with only azurite showing two discernible characteristic infrared peaks at 4241 and 4372 cm−1. To further identify peak positions, the spectra were subjected to baseline correction and normalization, as illustrated in Figure 5b. Both malachite and azurite display two main absorption bands, within the ranges of 4000–4300 and 4300–4500 cm−1, respectively. The characteristic bands of dioptase are considerably broader compared to the former two, with two main characteristic bands located in the ranges of 4000–4500 and 4500–5200 cm−1. The fitting results present more detailed outcomes (as shown in Figure 6), where the three minerals consist of 5–7 bands in the respective regions, with specific peak positions detailed in Table 3. Malachite and dioptase exhibit a multitude of weak absorption peaks in the 7000–8000 cm−1 range, which are attributed to the overtone peaks of hydroxyl or water molecule stretching vibrations associated with vibration groups [34,35].

4. Discussion

Assignment of OH Vibration in NIR Spectra

Both this study and previous works show that not all peaks participate in the combination of near-infrared regions (or the overtone vibration of higher wavenumbers). This may be because the combination is the superposition or cancellation of electric dipoles. By trial calculations of this experiment, we identified the most suitable near-infrared peak assignments, with specific combinations detailed in Table 3, and the error is controlled within 10 cm−1 [23,36]. The signals of dioptase in the 4000–5200 cm−1 region correspond to a combination of OH stretching vibrations with vibrations of the silicon–oxygen framework or OH bending vibrations. The most significant combination with the vibrations of the silicon–oxygen framework and bending vibrations of channel water molecules is the band at 3443 cm−1, rather than the strongest peak at 3373 cm−1. It is speculated that the orientation of the water molecule stretching vibration corresponding to 3443 cm−1 is significantly different from other water molecule stretching vibrations [3], leading to a propensity to form a complex with other bands.
Malachite exhibits six bands in the 4000–4600 cm−1 region, which belong to a combination of two types of OH stretching vibrations and three [CO3]2− vibrations, with water molecules and the stretching vibrations of M–OH from non-copper ions not participating in the combination vibrations. Among the four bands with higher wavenumbers, the errors between the theoretical and measured values can offset each other, which is considered to be due to the relative shift of the bands caused by mutual influence between the vibrations. In the crystal structure of azurite, only one type of hydroxyl group exists, and all the combination vibrations in the near-infrared region are related to the OH stretching vibration at the position of 3424 cm−1. In addition to the [CO3]2− vibrations, combinations of hydroxyl stretching and bending vibrations are also observed.
It is worth noting that, based on the calculation of the OH stretching vibration at 3424 cm−1 and the combination vibration at 4341 cm−1, there should be an absorption vibration near 917 cm−1. Upon detailed analysis of the nearby spectrum, a corresponding spectrum at 921 cm−1 was observed, which the author attributes to the OH bending vibration, as shown in Figure 7, and which has both infrared and Raman activity [6]. This spectral band has hardly been mentioned in previous studies.

5. Conclusions

Dioptase exhibits six vibrational bands in the OH stretching vibration region, which are attributed to the vibrations of hydroxyl groups of water molecules with different orientations within the ring silicate structures of the channels. The combination of OH stretching vibrations and Si–O stretching vibrations with the bending vibrations of water molecules results in seven characteristic combination vibration peaks in the near-infrared region of 4000–5200 cm−1. Both malachite and azurite are carbonate minerals. The infrared OH stretching vibration region, ranging between 3000–3500 cm−1, features three types of characteristic peaks: water molecule OH stretching vibrations, structural OH stretching vibrations, and other structural OH stretching vibrations resulting from isomorphous substitution. The near-infrared characteristics appear within the ranges of 4000–4300 and 4300–4500 cm−1, arising from the respective combinations of structural OH stretching vibrations and [CO3]2− stretching vibrations with OH bending vibrations.
Through the tracing of near-infrared peak positions, a new characteristic peak was identified at 921 cm−1 in azurite. Due to its weak intensity and proximity to nearby spectral bands, it has rarely been mentioned before. The combined study of near-infrared and mid-infrared spectroscopy can be used to identify peaks that are difficult to observe in MIR spectroscopy.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cryst14090791/s1: Figure S1: Relationship between the infrared band positions and the corresponding hydrogen bond distances; Table S1: Infrared band positions and the corresponding hydrogen bond distances [4].

Author Contributions

Conceptualization, M.H.; data curation, S.W., Y.S. and K.S.; formal analysis, S.W., M.Y. and B.P.; funding acquisition, M.H.; investigation, M.Y. and B.P.; methodology, S.W. and M.Y.; resources, M.H.; writing—original draft, S.W.; writing—review and editing, S.W., M.Y., B.P., Y.S. and K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Mineral Rock and Fossil Specimens Resource Center.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Acknowledgments

Thanks to the editor and all reviewers for their suggestions, which greatly helped to improve the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wang, D.H.; Zhang, S.H.; Xiong, X.X.; Chen, Y.C. General Description of Typical Mineral Deposits in the Geological Records of China; Geology Press: Beijing, China, 2018; Volume 1, pp. 374–437. [Google Scholar]
  2. Tang, Z.Y.; Jiang, Y.; Wang, J.M.; Zhang, M.; Qiao, A.X.; Xiao, L.; Cao, L. Geochemical Characteristics of Rare Earth Elements in Chrysocolla and Dioptase and Their Metallogenetic Environments. Rock Miner. Anal. 2015, 34, 408–413. [Google Scholar]
  3. Ribbe, P.H.; Gibbs, G.V.; Hamil, M.M. A refinement of the structure of dioptase, Cu6[Si6O18]·6H2O. Am. Mineral. 1977, 62, 807–811. [Google Scholar]
  4. Frost, R.L.; Xi, Y. Thermogravimetric analysis of the copper silicate mineral dioptase Cu6[Si6O18]·6H2O. J. Therm. Anal. Calorim. 2013, 112, 615–619. [Google Scholar] [CrossRef]
  5. Goryainov, S.V. Dehydration-induced changes in the vibrational states of dioptase Cu6[Si6O18]·6H2O. J. Struct. Chem. 1996, 37, 58–64. [Google Scholar] [CrossRef]
  6. Ruiz, F.; Martínez, J.R.; González-Hernández, J. Formation of silicate structures in Cu-containing silica xerogels. J. Mater. Res. 2000, 15, 2875–2880. [Google Scholar] [CrossRef]
  7. Wang, Y.; Qin, F.; Gao, J.; Qin, S.; Wu, X. In-situ high-pressure X-ray diffraction of natural dioptase. Acta Petrol. Miner. 2015, 34, 365–370. [Google Scholar]
  8. Qin, F.; Wu, X.; Qin, S.; Zhang, D.Z.; Prakapenka, V.B.; Jacobsen, S.D. Pressure-induced dehydration of dioptase: A single-crystal X-ray diffraction and Raman spectroscopy study. Comptes. Rendus.-Geosci. 2019, 351, 121–128. [Google Scholar] [CrossRef]
  9. Ruan, Q.F.; Song, L.; Yang, Y.; Zhu, S.C.; Bai, F.F. Mineralogical characteristics of dioptase from Kaokoveld, Namibia. J. Guilin Univ. Technol. 2016, 36, 223–227. [Google Scholar]
  10. Frost, R.L.; Martens, W.N.; Rintoul, L.; Mahmutagic, E.; Kloprogge, J.T. Raman spectroscopic study of azurite and malachite at 298 and 77 K. J. Raman Spectrosc. 2002, 33, 252–259. [Google Scholar] [CrossRef]
  11. Yu, B.S.; Fang, J.N.; Huang, E.P. Characteristics of the Raman spectra of archaeological Malachites. J. Raman Spectrosc. 2013, 44, 630–636. [Google Scholar] [CrossRef]
  12. Jorge-Villar, S.E.; Edwards, H.G.M. Green and blue pigments in Roman wall paintings: A challenge for Raman spectroscopy. J. Raman Spectrosc. 2021, 52, 2190–2203. [Google Scholar] [CrossRef]
  13. Xu, J.G.; Kuang, Y.Q.; Zhang, B.; Liu, Y.G.; Fan, D.W.; Zhou, W.G.; Xie, H.S. High-pressure study of azurite Cu3[CO3]2(OH)2 by synchrotron radiation X-ray diffraction and Raman spectroscopy. Phys. Chem. Miner. 2015, 42, 805–816. [Google Scholar] [CrossRef]
  14. Schmidt, M.; Lutz, H.D. Hydrogen bonding in basic copper salts: A spectroscopic study of malachite, Cu2(OH)2CO3, and brochantite, Cu4(OH)6SO4. Phys. Chem. Miner. 1993, 20, 27–32. [Google Scholar] [CrossRef]
  15. Schuiskii, A.V.; Zorina, M.L. Infrared spectra of natural and synthetic malachites. J. Appl. Spectrosc. 2013, 80, 576–580. [Google Scholar] [CrossRef]
  16. Süsse, P. Verfeinerung der Kristallstruktur des Malachits, Cu2(OH)2CO3. Acta Crystallogr. 1967, 22, 146–151. [Google Scholar] [CrossRef]
  17. Belokoneva, E.L.; Gubina, Y.K.; Forsyth, J.B. The charge density distribution and antiferromagnetic properties of azurite Cu3[CO3]2(OH)2. Phys. Chem. Miner. 2001, 28, 498–507. [Google Scholar] [CrossRef]
  18. Petit, S.; Madejová, J.; Decarreau, A.; Martin, F. Characterization of Octahedral Substitutions in Kaolinites Using Near Infrared Spectroscopy. Clays Clay. Miner. 1999, 47, 103–108. [Google Scholar] [CrossRef]
  19. Balan, E.; Saitta, A.M.; Mauri, F.; Calas, G. First-principles modeling of the infrared spectrum of kaolinite. Am. Mineral. 2001, 86, 1321–1330. [Google Scholar] [CrossRef]
  20. Rinnan, Å.; Berg, F.V.D.; Engelsen, S.B. Review of the most common pre-processing techniques for near-infrared spectra. Trends Anal. Chem. 2009, 28, 1201–1222. [Google Scholar] [CrossRef]
  21. Medeghini, L.; Mignardi, S.; De Vito, C.; Conte, A.M. Evaluation of a FTIR data pretreatment method for Principal Component Analysis applied to archaeological ceramics. Microchem. J. 2016, 125, 224–229. [Google Scholar] [CrossRef]
  22. Todorova, M.H.; Atanassova, S.L. Near infrared spectra and soft independent modelling of class analogy for discrimination of Chernozems, Luvisols and Vertisols. J. Near Infrared Spectrosc. 2016, 24, 271–280. [Google Scholar] [CrossRef]
  23. Wu, S.K.; He, M.Y.; Yang, M.; Peng, B.J. Near-Infrared Spectroscopic Study of OH Stretching Modes in Kaolinite and Dickite. Crystals 2022, 12, 907. [Google Scholar] [CrossRef]
  24. Emsley, J. Very strong hydrogen bonding. Child. Sch. 1980, 9, 91–124. [Google Scholar] [CrossRef]
  25. Lutz, H.D.; Jung, C. Water molecules and hydroxide ions in condensed materials; correlation of spectroscopic and structural data. J. Mol. Struct. 1997, 404, 63–66. [Google Scholar] [CrossRef]
  26. Werner, M. Stretching frequency versus bond distance correlation of O···D(H)Y (Y = N, O, S, Se, Cl, Br, I) hydrogen bonds in solid hydrates. J. Mol. Struct. 1986, 147, 1–15. [Google Scholar]
  27. Novak, A. Hydrogen bonding in solids correlation of spectroscopic and crystallographic data. In Large Molecules; Springer: Berlin, Heidelberg, Germany, 1974; Volume 18, pp. 177–216. [Google Scholar]
  28. Libowitzky, E. Correlation of O-H stretching frequencies and O-H···O hydrogen bond lengths in minerals. Monatshefte Fur Chem. 1999, 130, 1047–1059. [Google Scholar] [CrossRef]
  29. Guo, X.F. Study on Near-infrared Spectra of Silicate Gem Minerals. Master’s Thesis, Kunming University of Science and Technology, Yunnan, China, 2020. [Google Scholar]
  30. Li, X.J.; Zu, E.D. Near-Infrared Spectrum Analysis of Cyclosilicates Gem Minerals. Bull. Chin. Ceram. Soc. 2016, 35, 1318–1321. [Google Scholar]
  31. Stoilova, D.; Koleva, V. Infrared study of some synthetic phases of malachite (Cu2(OH)2CO3)—Hydrozincite (Zn5(OH)6(CO3)2). Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2002, 58, 2051–2059. [Google Scholar] [CrossRef]
  32. Yang, S.; Gou, Z.N.; Li, P. Analysis of Conventional Gemological Characteristics of Malachite. China Gems Jades 2021, 3, 26–30. [Google Scholar]
  33. Farmer, V.C. The Infrared Spectra of Minerals; The Mineralogical Society of Great Britain & Ireland: Middlesex, UK, 1974; pp. 268–269. [Google Scholar]
  34. Zheng, Y.Y. Spectroscopy Charateristic of Channel Water and Origin Tracing of Dayakou Emerald from Yunan Province. Master’s Thesis, China University of Geosciences, Beijing, China, 2020. [Google Scholar]
  35. Gao, R.; Chen, Q.L.; Ren, Y.N.; Bao, P.J.; Huang, H.Z. Study on the Gemmological and Spectral Characteristics of Emeralds from Kagem, Zambia. Spectrosc. Spectr. Anal. 2023, 43, 3186–3192. [Google Scholar]
  36. Baron, F.; Petit, S. Interpretation of the infrared spectra of the lizardite-nepouite series in the near- and mid-infrared range. Am. Miner. 2016, 101, 423–430. [Google Scholar] [CrossRef]
Figure 2. Samples characteristic of copper minerals in the oxidation zones.
Figure 2. Samples characteristic of copper minerals in the oxidation zones.
Crystals 14 00791 g002
Figure 3. MIR spectra of copper mineral samples.
Figure 3. MIR spectra of copper mineral samples.
Crystals 14 00791 g003
Figure 4. MIR spectral-fitted analysis of the OH stretching region. The yellow dashed line represents the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks.
Figure 4. MIR spectral-fitted analysis of the OH stretching region. The yellow dashed line represents the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks.
Crystals 14 00791 g004
Figure 5. NIR spectra of copper minerals in the oxidation zones of copper-bearing deposits. (a) original spectrum; (b) spectrum after corrected baseline and normalized.
Figure 5. NIR spectra of copper minerals in the oxidation zones of copper-bearing deposits. (a) original spectrum; (b) spectrum after corrected baseline and normalized.
Crystals 14 00791 g005
Figure 6. NIR spectral-fitted analysis of the OH combination bands. The yellow dashed line represents the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks.
Figure 6. NIR spectral-fitted analysis of the OH combination bands. The yellow dashed line represents the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks.
Crystals 14 00791 g006
Figure 7. (a) Fitted analysis of the infrared hydroxyl bending vibration region of azurite; (b) the Raman spectra of azurite and the fitted results of the 900–970 cm−1 range showed that 927 cm−1 corresponded to the 921 cm−1 OH bending vibration in (a). In (a) and the peaks fitted diagram of (b), the yellow dotted line is the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks. Raman test conditions: 532 nm laser, range 100–1700 cm−1, test time 8 s, five times.
Figure 7. (a) Fitted analysis of the infrared hydroxyl bending vibration region of azurite; (b) the Raman spectra of azurite and the fitted results of the 900–970 cm−1 range showed that 927 cm−1 corresponded to the 921 cm−1 OH bending vibration in (a). In (a) and the peaks fitted diagram of (b), the yellow dotted line is the original spectrum, black line represents the fitted spectrum, and the blue to green lines represent fitted peaks. Raman test conditions: 532 nm laser, range 100–1700 cm−1, test time 8 s, five times.
Crystals 14 00791 g007
Table 1. Mineral composition of the samples.
Table 1. Mineral composition of the samples.
SampleColorMineralsSGIsomorphism (w%)
CT-dioGreenDioptase3.32Mg-0.21%, Al-0.51%, Ca-0.14%, Fe-0.04%, S-0.17%, Cl-0.53%
KQ-malGreenMalachite4.22Mg-0.02%, Mn-0.01%, Ca-0.02%, Fe-0.01%, Si-0.20%, Cl-0.09%
LT-azuBlueAzurite3.84K-0.49%, Al-1.35%, Ca-0.11%, Fe-0.14%, Si-3.16%, Ti-0.06%
Table 2. The MIR bands of copper mineral samples and their assignments.
Table 2. The MIR bands of copper mineral samples and their assignments.
Band Assignment of CT-dio
[4,5,6,9,29,30]
Band Position (cm−1)Band Assignment of KQ-mal
[10,15,31,32,33]
Band Position (cm−1)Band Assignment of LT-azu
[10,33]
Band Position (cm−1)
M–O vibration, Si–O ring bending vibration, and both coupled vibration 411
456
Lattice modes Cu–X Stretch428
O–Si–O bending vibration516
574
608
677
Lattice modes Cu–OH Stretch485
524
Lattice modes Cu–OH Stretch458
532
Si–O stretching vibration778
886
934
955
997
1024
Lattice modes Cu–O Stretch505
572
582
Lattice modes Cu–O Stretch492
Outer [CO3] stretching vibration ν4713
750
[CO3] stretching vibration ν4744
768
[CO3] bending vibration776
[CO3] symmetric stretching vibration ν2820[CO3] symmetric stretching vibration ν2817
OH bending vibration874
1047
OH bending vibration921 *
953
1026
[CO3] stretching vibration ν11096[CO3] stretching vibration ν11089
OH (H2O) bending vibration1425
1492
1620
1641
1681
[CO3] antisymmetric stretching vibration ν31391
1418
1494
1519
[CO3] antisymmetric stretching vibration ν3837
1415
1464
1492
OH (H2O) stretching vibration (2.6522)3018OH (H2O) stretching vibration3229OH (H2O) stretching vibration3355
OH (H2O) stretching vibration (2.6813)3137OH2 stretching vibration3314OH (H2O) stretching vibration3387
OH (H2O) stretching vibration (2.7171)3231OH1 stretching vibration3402OH (H2O) stretching vibration3401
OH (H2O) stretching vibration (2.7927)3373M–OH(no Cu) stretching vibration3494OH stretching vibration3424
OH (H2O) stretching vibration (2.8395)3443 M–OH(no Cu) stretching vibration3481
OH (H2O) stretching vibration (2.8870)3506
The corresponding hydrogen bond length (Å) is in brackets in column 1. * Not observed in the spectrum directly. See the discussion below for specific reasons.
Table 3. The NIR bands and their corresponding MIR peaks.
Table 3. The NIR bands and their corresponding MIR peaks.
SampleMeasured Peak Position (cm−1)Fundamental Peaks Position (cm−1)AssignmentsTheoretical Peak Position (cm−1)Error (cm−1)
CT-dio41253443 + 677OH stretching vibration + O–Si–O bending vibration41205
42113443 + 778OH stretching vibration + Si–O stretching vibration4221−10
43253443 + 886OH stretching vibration + Si–O stretching vibration4329−4
47003018 + 1681OH stretching vibration + OH bending vibration46991
48103137 + 1681OH stretching vibration + OH bending vibration4818−8
49403443 + 1492OH stretching vibration + OH bending vibration49355
50833443 + 1641OH stretching vibration + OH bending vibration5084−1
KQ-mal40903314 + 776OH2 stretching vibration + [CO3] bending vibration40900
41303314 + 820OH2 stretching vibration + [CO3] symmetric stretching vibration ν24134−4
41683402 + 776OH1 stretching vibration + [CO3] bending vibration4178−10
42323402 + 820OH1 stretching vibration + [CO3] symmetric stretching vibration ν2422210
44003314 + 1096OH2 stretching vibration + [CO3] stretching vibration ν14410−10
45083402 + 1096OH1 stretching vibration + [CO3] stretching vibration ν1449810
LT-azu41923424 + 768OH stretching vibration + [CO3] stretching vibration41920
42413424 + 817OH stretching vibration + [CO3] symmetric stretching vibration42410
42613424 + 837OH stretching vibration + [CO3] antisymmetric stretching vibration42610
43413424 + 921 *OH stretching vibration + OH bending vibration4245−4
43733424 + 953OH stretching vibration + OH bending vibration4377−4
* Not observed in the spectrum directly. See the analysis for specific reasons.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wu, S.; He, M.; Yang, M.; Peng, B.; Shi, Y.; Sun, K. Near-Infrared Spectroscopic Study of Secondary Minerals in the Oxidation Zones of Copper-Bearing Deposits. Crystals 2024, 14, 791. https://doi.org/10.3390/cryst14090791

AMA Style

Wu S, He M, Yang M, Peng B, Shi Y, Sun K. Near-Infrared Spectroscopic Study of Secondary Minerals in the Oxidation Zones of Copper-Bearing Deposits. Crystals. 2024; 14(9):791. https://doi.org/10.3390/cryst14090791

Chicago/Turabian Style

Wu, Shaokun, Mingyue He, Mei Yang, Bijie Peng, Yujia Shi, and Kaiyue Sun. 2024. "Near-Infrared Spectroscopic Study of Secondary Minerals in the Oxidation Zones of Copper-Bearing Deposits" Crystals 14, no. 9: 791. https://doi.org/10.3390/cryst14090791

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop