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Quantitative characterization appreciation of golden citrine golden by the irradiation of [FeO4]4−
⁎Corresponding author. guoying@cugb.edu.cn (Guo Ying)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
With the help of irradiation, [FeO4]4− was excited by one electron from ferric electronic shell, it absorbed the visible light of 550 nm, and then made crystal appears golden color which named citrine. 27 pieces citrine was confirmed as natural from 32 pieces golden citrine by IR technology, their color parameters were calculated by the colorimeter tests, then how could hue, lightness and chroma contribute to visual color were analyzed too. It reveals that chroma of natural citrines are negatively correlated with hue and lightness, by the control of hue angle on the impact of the chroma, the co-effect of hue and lightness of natural citrine produce moderate influence on chroma. Without the consideration of chroma influence on lightness, lightness and hue angle are high correlated (r = 0.924), it is tested the high linear correlation of citrine lightness and hue; while with the consideration of chroma influence on lightness, lightness and hue angle also high correlated (r = 0.897), and the high linear correlation of citrine lightness and hue is confirmed. It draws conclusion that in the limit the citrine golden, lightness should be regarded as the first factor when citrine quality evaluation was taken, with the most intuitive representative and most consistent with the expression of perception effect, then the effect of hue and chroma was considered furthermore.
Keywords
Citrine
Golden
Quantitative characterization
1 Introduction
With the continuous development, colorimetry is widely used in industrial and agricultural production practice, guiding color photography, the color printing, dyestuff, textile, traffic signals, lighting technology and related field, and it also be applied to product examination and product quality monitoring, such as beer evaluation, oil sulfur content testing, quality evaluation of ceramic restoration, tooth repair, etc (Balsam et al., 1999; Berns, 1996).
According to colorimetric theories, a computer color vision system of agricultural product, by evaluating its color and color difference, the objective and quantitative characterization of agriculture product color evaluation and control comes true (Hongxia et al., 2006; Christopher and Breeding, 2009). Some researchers approved that the color appearance of jadeite-jade green is slightly influenced by light source alternation (Ying et al., 2016a).
In recent years, minerals and gems color quantitative analysis was also started in the field of geology and gemology, and it turned to be the guidance of gem quality grading and evaluation (Fernandes et al., 2003; Habekost, 2007; Haisong et al., 2001). A group researcher also established a color-chip evaluation system of jadeite-jade green with color difference control of medical device (Ying et al., 2016b; Huertas et al., 2002). Such as the quantitative color research of sedimentary rocks, and then take it as the replaceable indicator of ancient sedimentary environment and ancient climate change.
L∗, a∗ and b∗ as different geological significance to study ancient climate, then drew the conclusion that in the uniform color space CIE 1976 L∗a∗b∗, L∗ could be regard as the substitution index of how much carbonate in marine sediments, and parameter a∗ and b∗ are related to the content of MgO and Fe3+ respectively, furthermore, to estimate the historical period of the climatic conditions and changes according to sediments composition (Balsam and Balsam, 1991; Luo et al., 2001).
The reflective spectrum and the transmitted spectrum of Sichuan Pingwu beryl and Shandong ChangLe sapphire were measured by the use of MPV-3 microscopic photometer, the main wavelength and tristimulus were calculated first with the help of transmission rate, and then the color chroma Pe and visual lightness Y (color brightness reflection) were achieved, finally reached the purpose of evaluate gem color quantitatively (Song et al., 1999; Melgosa, 2003). Similarly, turquoise blue colors were characterized quantitatively by other researchers (Lijun et al., 2004; Halim and Phang, 2017).
According to visual observation results, color concept of Jadeite-Jade purity and vivid intense were defined with the help of colorimeter Elrepho2000 in the uniform color space CIE 1976 L∗a∗b∗, it calibrates the individual difference by person while evaluating by naked eye (Rupeng and Qiyao, 2007; Shamsudin et al., 2017a,b; Wahab and Adzmi, 2017). Based on Kubelka-Munk theory, with the help of a new modified microscopic colorimeter and a new mathematical model, samples absorption coefficient (K), diffuse reflection factor (S) and spectral reflectance coefficient of infinite thickness materials (R∞) were achieved, so that the Jadeite-Jade color and transparency were characterized, as a result, it will benefit for the further quantitative analysis of Jadeite-Jade quality (Azizan et al., 2017; Rahmat et al., 2017).
2 Sample and experiment
16 facets and 16 cabochon citrine with smooth surface and even color, well purity were selected as samples, and named as CF01∼CF16 and CR01∼CR16 for the sequence of chroma from pale yellow to orange yellow (Sa’at and Zaman, 2017).
Spectrophotometer Color i5 were used to collect reflective signals from citrine surface via the integrating sphere. Testing conditions: Geometry D 8 Tri-beam simultaneous SCE, specular component setting-exincluded (SCE), Illumination D65 Calibrated, Measurement time <2.5 s (flash & data acquisition), spectral Range 360–750 nm, wavelength Interval 10 nm, voltage 240 V, current 50–60 HZ.
3 Results
Citrine is a rare gemstone from nature associated with amethyst and crystal druse, but most citrine in Jewellery market comes from amethyst treatment or synthetic citrine. In order to identify natural citrine out from heat-treated amethyst (which can also be called heat-treated citrine after treatment) and synthetics, the infrared spectrum analysis were used to the identification and the experiment and results are as follows.
Whether citrine is from nature or not is identified by IR spectrum effectively, then citrine color parameters were analyzed quantitatively, and the respectively contribution from lightness, chorma, hue to citrine's golden were discussed at last.
3.1 IR test
Through gemological tests of all samples, they are testified genuine citrines from refractive index is 1.54–1.55, special density is 2.66, and positive uniaxial crystal (1+). The further identification of natural citrine, heat-treated citrine and synthetic citrine were proceeded by Fourier transform infrared spectrum (FT-IR), RUKER, German.
With voltage 85–265 V, frequency 47–65 Hz, temperature scope 18–35 °C, humidity range <70%, sample scanning time 3 scans, background scanning time 8 scans, resolution 4 cm−1, diaphragm setting 6 mm and 10 KHz, spectrum scope 2000–6000 cm−1, samples scanning repeated 50–100, and transmission mode (Halim et al., 2017; Rahman et al., 2017).
There's almost horizontal curve at 5200 cm−1 of sample CF01 and CF02 (Fig. 1), while is exactly differ from the combined spectrum of stretching vibration and bending vibration at the same position (Fig. 2); and the high transmission at the 3556 cm−1 (Fig. 1) is much differ from natural citrine too (Fig. 2), which contributed by less OH− or H2O. Finally, it results that these two samples are Heat-Treated Citrine.

There’s many different absorptions at 5199 cm−1 and 3200–3600 cm−1 in IR spectrum, they are the same as the natural citrine’s standard IR spectrum, so these are all-natural citrine samples (Fig. 2).
Sample CR01 shows similar as sample CF01 and CF02, which reveals the high transmissivity (higher than natural crystal), that is the low absorptivity at 5237 cm−1; and transmitted high at 3557 cm−1. All these illustrates the possibility of low OH− or H2O of the sample, so, the sample CR01 could be judged as heat-teated Citrine (Fig. 3).
The curve almost tends to horizontal while less than 3500 cm−1 in the IR spectrum of sample CR03 and CR04, it shows the incompatibility of natural citrine standard IR spectrum, so these two sample were testified as synthetic citrine (Fig. 4).
There’s many different absorptions at 5185 cm−1 and 3200–3600 cm−1 in IR spectrum except sample CR01, CR03 and CR04, all these are exactly the same as the natural citrine’s standard IR spectrum, so these cabochon stones are all-natural citrine samples (Fig. 5).
Among all 32-citrine sample, CF01, CF02 and CR01 are heat-treated for their low absorptivity at 3500 cm−1, CR03 and CR04 are synthetics for their horizontal curve when less than 3500 cm−1, and the rest 27 pieces citrine are identified natural citrine without treatment for both their combined spectrum at 5200 cm−1 and stretching vibration during 3200–3600 cm−1, as a result, the further investigation will focus on these 27 citrines (see Fig. 6).
3.2 Quantitative characterization of citrine golden
To get rid of the color-test disturbance from faint dichroism and uneven color distribution of citrine, polarizing test were used to confirm that table facet of faceted citrine or back surface of cabochon citrine is perpendicular to vertical axis C, which is the single direction shows no dichroism (Shamsudin et al., 2017a,b; Ali et al., 2017). So, the test surface was selected as where color concentrated and much more intense which parallel with the very top facet of faceted citrine or very bottom surface of cabochon citrine.
By the consideration of hue, citrine can be classified into two groups: orange yellow (OY) h0 ∈ (49°, 75°) and yellow (Y) h0 ∈ (75°, 91°); by the consideration of chroma, citrine can be classified into five groups: faint C∗ ∈ (8, 20), light C∗ ∈ (20, 28), medium C∗ ∈ (28, 40), fancy C∗ ∈ (40, 50) and fancy intense C∗ ∈ (50, 58); by the consideration of lightness, citrine can be classified into five groups too: dark L∗ ∈ (37, 46), dull L∗ ∈ (46, 55), medium L∗ ∈ (55, 64), bright L∗ ∈ (64, 73), brilliance L∗ ∈ (73, 83) (see Table 1).
| Name | L* | a* | b* | C* | h0 | DELAB | Dcmc | DE2000 |
|---|---|---|---|---|---|---|---|---|
| CF16 | 37.42 | 26.38 | 30.72 | 40.50 | 49.34 | – | – | – |
| CR16 | 37.42 | 20.70 | 31.30 | 37.53 | 56.52 | 5.71 | 5.40 | 3.73 |
| CF15 | 47.31 | 30.93 | 48.47 | 57.50 | 57.46 | 20.82 | 11.66 | 8.37 |
| CR14 | 41.80 | 15.28 | 27.68 | 31.62 | 61.10 | 12.32 | 9.08 | 6.78 |
| CR13 | 47.93 | 17.26 | 34.88 | 38.92 | 63.67 | 14.52 | 12.09 | 8.72 |
| CR12 | 55.32 | 20.41 | 42.06 | 46.75 | 64.11 | 22.02 | 15.68 | 11.94 |
| CR15 | 50.67 | 21.79 | 47.30 | 52.08 | 65.27 | 21.71 | 16.23 | 11.46 |
| CR09 | 51.84 | 18.23 | 45.47 | 48.99 | 68.15 | 22.18 | 17.87 | 12.66 |
| CF13 | 50.33 | 18.65 | 47.67 | 51.19 | 68.63 | 22.67 | 18.42 | 12.78 |
| CF14 | 47.57 | 10.47 | 28.42 | 30.29 | 69.77 | 19.02 | 15.10 | 11.30 |
| CF12 | 55.56 | 18.09 | 49.22 | 52.44 | 69.82 | 27.21 | 20.82 | 14.97 |
| CR11 | 50.82 | 16.46 | 45.35 | 48.24 | 70.05 | 22.18 | 18.86 | 13.18 |
| CR08 | 55.87 | 14.83 | 42.51 | 45.02 | 70.77 | 24.76 | 19.88 | 14.60 |
| CF11 | 55.68 | 16.42 | 52.10 | 54.63 | 72.51 | 29.83 | 23.40 | 16.49 |
| CR05 | 61.17 | 14.29 | 45.64 | 47.83 | 72.61 | 30.54 | 23.24 | 17.53 |
| CR06 | 55.60 | 13.98 | 46.00 | 48.08 | 73.10 | 26.79 | 22.12 | 15.87 |
| CR03 | 62.57 | 11.08 | 37.24 | 38.85 | 73.43 | 30.15 | 22.43 | 17.55 |
| CR10 | 50.27 | 14.24 | 49.58 | 51.59 | 73.98 | 25.85 | 22.61 | 15.43 |
| CF09 | 58.67 | 11.25 | 41.86 | 43.35 | 74.96 | 28.37 | 23.09 | 17.13 |
| CF10 | 61.45 | 11.97 | 48.04 | 49.51 | 76.01 | 32.94 | 26.04 | 19.21 |
| CR04 | 68.65 | 8.64 | 35.31 | 36.35 | 76.25 | 36.21 | 25.65 | 20.31 |
| CR07 | 61.14 | 12.03 | 49.79 | 51.22 | 76.42 | 33.65 | 26.69 | 19.50 |
| CF07 | 63.82 | 8.14 | 40.15 | 40.97 | 78.54 | 33.45 | 26.31 | 20.04 |
| CF08 | 63.07 | 7.13 | 37.99 | 38.65 | 79.37 | 32.89 | 26.07 | 19.91 |
| CF03 | 72.59 | 6.22 | 38.64 | 39.14 | 80.86 | 41.31 | 30.07 | 23.13 |
| CF06 | 71.56 | 5.57 | 35.65 | 36.08 | 81.12 | 40.29 | 29.19 | 22.70 |
| CR02 | 67.23 | 4.73 | 30.71 | 31.07 | 81.24 | 36.85 | 26.77 | 21.28 |
| CF05 | 77.48 | 3.99 | 26.84 | 27.13 | 81.55 | 46.06 | 29.91 | 23.90 |
| CF02 | 73.41 | 2.43 | 18.14 | 18.30 | 82.36 | 45.03 | 27.35 | 23.45 |
| CR01 | 70.68 | 3.29 | 24.80 | 25.02 | 82.45 | 40.92 | 27.37 | 22.44 |
| CF04 | 74.86 | 4.04 | 31.56 | 31.82 | 82.71 | 43.61 | 30.27 | 23.75 |
| CF01 | 83.22 | -0.09 | 8.51 | 8.51 | 90.60 | 57.37 | 31.66 | 28.40 |
Statistical analysis of natural citrine color parameters shows the relationships of C∗ and h0, and of C∗ and L∗ (Figs. 7 and 8). It reveals that citrine chroma decreases with the increase of h0 and L∗, that is the negative correlation of C∗ with h0 and L∗.

Although the C∗ and h0 of citrine’s golden show the moderate negative correlation, with the help of SPSS partial correlation analysis, C∗ and h0 are independent from each other while after the control of lightness to chroma. In the same way, it is illustrated that there’s no distinct correlation between citrine’s golden and chroma while after the control of hue to chroma (Ismail and Hanafiah, 2017). All these reveals the moderate effect to citrine’s chroma are come from its hue and lightness together.
L∗ of citrines are in the scope of 38–84, it is different with different hue: L∗ of orange yellow citrines are concentrated in the whole scope; while L∗ of yellow citrines concentrated in the scope of 55–64, and it shows moderate intensity; and much more dark or bright citrine are not found in nature yet (Aziz and Hanafiah, 2017).
Natural citrine’s lightness will increase with the increase of hue (Fig. 9), when take no consideration of the effect from chroma to lightness, the correlation coefficient of lightness and hue r = 0.924, P = 0.00 testified the high linear correlation of L∗ and h0; and when take consideration of the effect from chroma to lightness, the correlation coefficient of lightness and hue r = 0.897, P = 0.00 with the help of SPSS partial correlation analysis, it testified the high linear correlation of L∗ and h0 similarity (Fig. 11).


3.3 Weights analysis of color parameters
In order to analyze the contribution to citrine golden from lightness, chroma and hue, hierarchical cluster analysis and R cluster analysis were used to classify each color parameter (Table 2), to discuss the parameters classification of each color. In the color correlation matrix of citrine, L∗ and h0 correlated much more with coefficient r = 0.927, much higher than the correlation of L∗ and C∗ or of C∗ and h0, and then the high correlation of lightness and hue-angle were testified.
| L* | C* | h0 | |
|---|---|---|---|
| L* | 1.000 | – | – |
| C* | −0.556 | 1.000 | – |
| h0 | 0.927 | −0.505 | 1.000 |
The colors of 32 pieces citrine were sequenced by the increase of lightness or the increase of hue-angle by computer simulation (Figs. 10 and 11). Combined with the observation by naked eye, it is reveals the sequence by lightness increase is accord with visual effect, which is the darker the lightness is, the darker the citrine is.
Combined with sequenced color and cluster analysis result, it illustrates that based on the citrine golden, the contribution weighs to visual color is L∗, h0 and C∗ in sequence.
So, for citrine color appreciation, L∗ should be considered as the primary factor because it can correspond visual effect typically and directly, and then take hue and chroma into account together comprehensively.
4 Conclusion
2 synthetic citrines, 3 heat-treated citrines and 27 natural citrine were identified from all 32 samples by IR spectrum. It is revealed that C∗ shows the moderate negative correlation with h0 and L∗, but they are independent from each other, and both C∗ and L∗ contribute to it chroma moderately while after the control of lightness to chroma. When take no consideration of the effect from chroma to lightness, the correlation coefficient of lightness and hue r = 0.924, P = 0.00 testified the high linear correlation of L∗ and h0; and when take consideration of the effect from chroma to lightness, the correlation coefficient of lightness and hue r = 0.897, P = 0.00 testified the high linear correlation of L∗ and h0 similarity. Based on the citrine golden, L∗ should be considered as the primary factor when appreciate citrine color, because it can correspond visual effect typically and directly, and then take hue and chroma into account together comprehensively.
Scientific projects
Central University Basic Scientific Research Project, Appreciation of Jadeite Jade Greenunder CIECAM02; The research of ruby’s red constancy while changing lighting source and background.
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