<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJAC</journal-id><journal-title-group><journal-title>American Journal of Analytical Chemistry</journal-title></journal-title-group><issn pub-type="epub">2156-8251</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajac.2019.1012043</article-id><article-id pub-id-type="publisher-id">AJAC-96885</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject></subj-group></article-categories><title-group><article-title>
 
 
  Application of Cyanidin in Quantitative Estimation of Metals in Fish Samples
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andrew</surname><given-names>A. Tyopine</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Josephine</surname><given-names>N. Ike</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>C.</surname><given-names>O. B. Okoye</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Chemistry/Biochemistry &amp;amp; Molecular Biology, Alex Ekwueme Federal University, Ikwo, Nigeria</addr-line></aff><aff id="aff2"><addr-line>Department of Pure &amp;amp; Industrial Chemistry, University of Nigeria, Nsukka, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>12</month><year>2019</year></pub-date><volume>10</volume><issue>12</issue><fpage>621</fpage><lpage>628</lpage><history><date date-type="received"><day>24,</day>	<month>October</month>	<year>2019</year></date><date date-type="rev-recd"><day>2,</day>	<month>December</month>	<year>2019</year>	</date><date date-type="accepted"><day>5,</day>	<month>December</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The use of cyanidin as a metallochromic agent in analyses of heavy metal is reported. Cyanidin is a ligand that was extracted from 
  Gmelina arborea fruit and characterized. The cyanidin was used to form complexes with metals in five fish samples for the quantitative determination of Cu, Zn, Ca and Mg. The optimum pH for absorbances of the cyanidin-metal complexes was observed at 5. Experimental results obtained using cyanidin were compared with analyses results obtained by Atomic absorption spectrophotometry (AAS) and both methods were evaluated using paired T-test to ascertain the suitability of cyanidin as metallochromic agent for the quantitative determination of heavy metals in fish samples. A null hypothesis that cyanidin method is a good alternative to AAS was accepted for the analyses of Cu and Zn (p &gt; 0.05). The paired T-test, however rejected the null hypothesis for the determination of Ca and Mg (p &lt; 0.05). This study has provided a cheap, sensitive, rapid, simple and easy method for metal determination in analytical samples.
 
</p></abstract><kwd-group><kwd>Cyanidin</kwd><kwd> Metal Complexes</kwd><kwd> &lt;i&gt;Gmelina arborea&lt;/i&gt; Fruit</kwd><kwd> Fish Samples</kwd><kwd> Atomic Absorption Spectrophotometry</kwd><kwd> Null Hypothesis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Anthocyanins belong to plants whose pigments are water soluble [<xref ref-type="bibr" rid="scirp.96885-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref2">2</xref>]. They are widely distributed in nature and their pigment shades range from red, purple and blue. They are found in flowers, fruits, vegetables and other parts of higher plants. Anthocyanins belong to the class of flavonoids and have a general structural formula of C<sub>6</sub>C<sub>3</sub>C<sub>6</sub> [<xref ref-type="bibr" rid="scirp.96885-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref3">3</xref>]. Anthocyanins are hydroxyl B-ring substituted flavonoids whose conjugated double bond has the ability to absorb light in the visible light wave band. Anthocyanins are unstable at neutral to slightly acidic media. This may be attributed to the hydration of flavylium cation that is responsible for the colourless pseudobase and so stability is usually achieved through the complexation of the pigment in solution [<xref ref-type="bibr" rid="scirp.96885-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref5">5</xref>]. The ability of anthocyanins to complex especially with metals is primarily determined by its glycosylated structure [<xref ref-type="bibr" rid="scirp.96885-ref6">6</xref>].</p><p>Cyanidin (2-(3,4-Dihydroxyphenyl)-3,5,7-trihydroxychromenylium chloride) is a derivative of anthocyanin and is a chromic indicator that has been isolated from flowers of Hibiscus sabdariffa [<xref ref-type="bibr" rid="scirp.96885-ref7">7</xref>], red beet [<xref ref-type="bibr" rid="scirp.96885-ref1">1</xref>] and many others [<xref ref-type="bibr" rid="scirp.96885-ref3">3</xref>]. Cyanidin is a sensitive metallochromic indicator for detecting changes in UV-Vis absorption parameters as a result of its interaction with a plethora of metal ions. Ukwueze et al. and Okoye et al. have registered cyanidin complexes with Pb<sup>2+</sup>, Cr<sup>3+</sup>, Cd<sup>2+</sup>, Zn<sup>2+</sup>, Co<sup>2+</sup>, Cr<sup>3+</sup>, As<sup>3+</sup>, Cd<sup>2+</sup>, Cu<sup>2+</sup>, Fe<sup>2+</sup>, Hg<sup>2+</sup> and Ni<sup>2+</sup> in solution [<xref ref-type="bibr" rid="scirp.96885-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref10">10</xref>]. Ekere et al. also contributed to the list when he investigated cyanidin complexes with Bi<sup>2+</sup>, Sn<sup>2+</sup>, Mn<sup>2+</sup>, V<sup>3+</sup> and Se<sup>2+</sup> in mixed aqueous solutions [<xref ref-type="bibr" rid="scirp.96885-ref11">11</xref>].</p><p>An important feature of anthocyanins is their pH dependence and their structure in aqueous solutions is distinguished from other forms with variations in pH [<xref ref-type="bibr" rid="scirp.96885-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref13">13</xref>]. This also favours stability of their complexes with metals [<xref ref-type="bibr" rid="scirp.96885-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref17">17</xref>]. The oxidation state of metal ions is another important factor that plays a crucial role in the formation of anthocyanin-metal complexes [<xref ref-type="bibr" rid="scirp.96885-ref18">18</xref>]. The most common metals in anthocyanin complexes are Sn, Cu, Fe, Al, Mg, and K [<xref ref-type="bibr" rid="scirp.96885-ref19">19</xref>]. The metal binding ability of anthocyanins presents a simple, sensitive, cheap, rapid and environmentally friendly approach/analytical tool for metal determination in environmental samples [<xref ref-type="bibr" rid="scirp.96885-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.96885-ref11">11</xref>]. Metal binding activity of anthocyanins is investigated via a variety of analytical techniques and to date UV-Vis spectroscopy is considered the most informative tool for the detection of anthocyanins [<xref ref-type="bibr" rid="scirp.96885-ref14">14</xref>]. Jangantakumar and Shukla [<xref ref-type="bibr" rid="scirp.96885-ref20">20</xref>] and Okoye et al. [<xref ref-type="bibr" rid="scirp.96885-ref10">10</xref>] have registered that spectral characteristics in visible wave bands as well as additional maximum absorption in the UV region are the most potent ways to monitor metal binding activities of anthocyanins. On the other hand AAS is known for its versatility, reliability, sensitivity and accuracy. It still has limitation such as the use of reagents that are not eco-friendly [<xref ref-type="bibr" rid="scirp.96885-ref21">21</xref>]. Considering the increase in metal concentration in the environment which may affect life of fish and other aquatic organisms and man through food chain, there is the need for metal monitoring of fish as a source of food to man. Therefore this work is aimed at developing cyanidin as an indicator from Gmelina arborea whose fruit is non-edible in Nigeria for the purpose analytical importance and further validating its suitability by comparing its performance with AAS.</p></sec><sec id="s2"><title>2. Experiments</title><p>All reagents and fish samples used were purchased in local market and the reagents were analar grade. Fresh stock and standard solutions were used throughout the experiment. The metal ions were determined in fish samples using Uv-Vis spectrophotometer (Jenway 6405 model), AAS (210CGP Bulk scientific) and Elico pH meter.</p><sec id="s2_1"><title>2.1. Pigment Extraction and Purification</title><p>500 g of Gmelina arborea fruits (see <xref ref-type="fig" rid="fig1">Figure 1</xref>) were washed under tap and rinsed with distilled H<sub>2</sub>O. The fruits were separated from its seeds; ground and 400 cm<sup>3</sup> of distilled H<sub>2</sub>O were added to the extract. The ground fruits were filtered using Whatman filter paper No. 1. The supernatant was concentrated to 300 cm<sup>3</sup> and diluted with 100 cm<sup>3</sup> conc. HCl and refluxed for 2 hours. The solution was allowed to cool until crystals began settling out. The solution was later put in the refrigerator to allow for more crystal formation. The crystals were filtered, recrystallized from hot methanol and air dried in the laboratory at room temperature. The crystals were stored in a dark sample bottle to avoid auto oxidation.</p></sec><sec id="s2_2"><title>2.2. Preparation of pH Buffers</title><p>Buffer solutions of pH 1 to 8 were prepared using KCl, HCl, KHC<sub>8</sub>H<sub>4</sub>O<sub>4</sub>, KH<sub>2</sub>PO<sub>4</sub>.</p></sec><sec id="s2_3"><title>2.3. Spectral Characterization of Crystals</title><p>5% solution of the purified crystals were prepared by dissolving 5 g of the crystals in methanol containing 0.01% conc. HCl and made up to 100 cm<sup>3</sup> in a standard flask. 1 cm<sup>3</sup> of this solution was diluted to 10 cm<sup>3</sup> and its λmax was determined spectrophotometrically in a 1 cm<sup>3</sup> cuvette by scanning from 200 - 700 nm.</p></sec><sec id="s2_4"><title>2.4. Determination of Optimum pH (pH opt) and of Crystal-Metal Complexes</title><p>5 cm<sup>3</sup> of 5% crystal solution and 5 cm<sup>3</sup> of standard solutions of a metal under study were introduced into 8 beakers and their pH values varied in aqueous phase from 1 to 8 using freshly prepared buffer solutions. The absorbance of each analyte in solution was read at the adjusted pH. The λmax of the analyte metal was obtained from plot between pH and the absorbance of the analyte.</p></sec><sec id="s2_5"><title>2.5. Determination of Wavelength of Maximum Absorption (λmax) of Crystal-Metal Complexes</title><p>Fresh standard solutions of Cu<sup>2+</sup>, Zn<sup>2+</sup>, Ca<sup>2+</sup>, and Mg<sup>2+</sup> were prepared at various concentrations ranging from 1.0 to 3.0 ppm. 5 cm<sup>3</sup> of each standard solution were introduced into five sample bottles containing 5 cm<sup>3</sup> of crystal solution and kept at pH5. After equilibration of the solutions, the absorbances of the crystal-metal complexes were recorded at maximum wavelength after scanning from 200 to 700 nm.</p></sec><sec id="s2_6"><title>2.6. Sample Preparation and Analysis</title><p>Five tilapia fish samples were dried at 105˚C until constant weight was maintained. The dried fish samples were pulverized and weighed into porcelain crucibles. 1 cm<sup>3</sup> conc. HNO<sub>3</sub> was added to each crucible and ashed at 450˚C. The ashes were dissolved in 5 cm<sup>3</sup> 1:1 HCl and samples transferred into 250 cm<sup>3</sup> flask containing 1 cm<sup>3</sup> 5% crystal solution at optimum pH. The crystal-sample solutions were made up to mark with distilled water and analysed using UV-Vis spectrophotometer and AAS (210CGP bulk scientific).</p></sec><sec id="s2_7"><title>2.7. Statistical Analysis</title><p>Paired T-test was used to determine significant variation between the developed method using the Gmelina arborea crystals and AAS. The null hypothesis (H<sub>0</sub>) suggested that AAS and the developed method both produce comparable results for the heavy metals under study. This method was tested against the alternative hypothesis (H<sub>1</sub>) which suggested otherwise therefore dismissing the suitability of the crystal as a metallochromic agent for heavy metals determination. The H<sub>0</sub> was accepted when p ≥ 0.05 and t values were within critical values i.e. −2.5706 ≤ t ≥ 2.5706. The paired T-test was done with SPSS 21.0.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Spectra Characterization of Purified Crystals from Gmelina arborea Extract</title><p>The spectral data obtained from the analysis of the extract in comparison with literature values are shown in <xref ref-type="table" rid="table1">Table 1</xref>. The values of λmax of the extract matched with reported values that the crystals from Gmelina arborea extract were of cyanidin. The experimental values were not significantly variable when matched with those reported [<xref ref-type="bibr" rid="scirp.96885-ref22">22</xref>].</p></sec><sec id="s3_2"><title>3.2. Selection of Optimum pH at λmax of Metal Ions</title><p>The effect of pH on the formation of cyanidin-metal complexes was observed from a calibration curve. At various pH values, these cyanidin-metal complexes showed reproducible results. However, all the metal complexes showed prominent absorbances at pH = 5. In consideration of selectivity and sensitivity of the method, pH value of 5 was chosen as the optimum pH for the simultaneous determination of these metals complexes with cyanidin in aqueous media.</p></sec><sec id="s3_3"><title>3.3. Analyses of Fish Samples Using the Cyaniding Complex</title><p>The analyses results of metals from fish samples analysed with AAS and UV-Vis is shown in <xref ref-type="table" rid="table2">Table 2</xref>. The metal distribution was Ca &gt; Mg &gt; Cu &gt; Zn for AAs and Cu &gt; Mg &gt; Zn &gt; Ca when cyaniding method was used. These distribution patterns in the fish samples suggest different levels of the metals in the different environments the fishes habited. <xref ref-type="table" rid="table3">Table 3</xref> shows the paired T-test of the significant differences in the methods and how they affect the H<sub>o</sub>.</p><p>The mean concentration of Zn was (1.5160 &#177; 0.7071) ppm from AAS and (1.4814 &#177; 0.7167) ppm when analysed using cyanidin. Their mean difference was (0.0342 &#177; 0.0687). The difference was not significant (p &gt; 0.05) and T &lt; 2.5706. H<sub>0</sub> was accepted as summarised in <xref ref-type="table" rid="table3">Table 3</xref>. Therefore Zn can be analysed using both AAS and cyaniding method. This may be said for Cu since there mean differences supported the H<sub>0</sub> (p &gt; 0.05, −2.5706 ≤ t ≥ 2.5706) as shown in <xref ref-type="table" rid="table3">Table 3</xref>. This can be attributed to the stable complexes they formed with cyanidin extracted from Gmelina arborea.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Spectral characterization of purified crystals from Gmelina arborea extract [<xref ref-type="bibr" rid="scirp.96885-ref22">22</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >UV region (λmax)</th><th align="center" valign="middle" >Vis region (λmax)</th></tr></thead><tr><td align="center" valign="middle" >Literature values</td><td align="center" valign="middle" >282.5 nm</td><td align="center" valign="middle" >530.6 nm</td></tr><tr><td align="center" valign="middle" >Experimental values</td><td align="center" valign="middle" >282.7 nm</td><td align="center" valign="middle" >530.0 nm</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean cyanidin and AAS results for metal analyses in ppm (n = 3)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >λmax</th><th align="center" valign="middle" >A</th><th align="center" valign="middle" >B</th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >D</th><th align="center" valign="middle" >E</th></tr></thead><tr><td align="center" valign="middle" >UV-Vis</td><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" >324.3</td><td align="center" valign="middle" >1.206 &#177; 0.036</td><td align="center" valign="middle" >1.263 &#177; 0.037</td><td align="center" valign="middle" >0.554 &#177; 0.016</td><td align="center" valign="middle" >2.364 &#177; 0.070</td><td align="center" valign="middle" >2.022 &#177; 0.060</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >296.7</td><td align="center" valign="middle" >2.701 &#177; 0.081</td><td align="center" valign="middle" >2.049 &#177; 0.061</td><td align="center" valign="middle" >1.508 &#177; 0.045</td><td align="center" valign="middle" >1.044 &#177; 0.031</td><td align="center" valign="middle" >2.703 &#177; 0.081</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" >282.0</td><td align="center" valign="middle" >1.24 &#177; 0.037</td><td align="center" valign="middle" >0.624 &#177; 0.0187</td><td align="center" valign="middle" >1.377 &#177; 0.0413</td><td align="center" valign="middle" >1.265 &#177; 0.0379</td><td align="center" valign="middle" >0.141 &#177; 0.00423</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Ca</td><td align="center" valign="middle" >279.6</td><td align="center" valign="middle" >0.331 &#177; 0.009</td><td align="center" valign="middle" >0.608 &#177; 0.0182</td><td align="center" valign="middle" >0.364 &#177; 0.0109</td><td align="center" valign="middle" >0.606 &#177; 0.0181</td><td align="center" valign="middle" >0.079 &#177; 0.00237</td></tr><tr><td align="center" valign="middle" >AAS</td><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1.21 &#177; 0.0363</td><td align="center" valign="middle" >1.42 &#177; 0.0426</td><td align="center" valign="middle" >0.58 &#177; 0.0174</td><td align="center" valign="middle" >2.37 &#177; 0.0711</td><td align="center" valign="middle" >2.02 &#177; 0.0606</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2.80 &#177; 0.084</td><td align="center" valign="middle" >2.04 &#177; 0.0612</td><td align="center" valign="middle" >0.50 &#177; 0.015</td><td align="center" valign="middle" >1.02 &#177; 0.030</td><td align="center" valign="middle" >2.70 &#177; 0.081</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >4.80 &#177; 0.144</td><td align="center" valign="middle" >4.14 &#177; 0.124</td><td align="center" valign="middle" >2.95 &#177; 0.088</td><td align="center" valign="middle" >3.45 &#177; 0.103</td><td align="center" valign="middle" >4.69 &#177; 0.140</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Ca</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >6.44 &#177; 0.193</td><td align="center" valign="middle" >8.88 &#177; 0.266</td><td align="center" valign="middle" >5.19 &#177; 0.155</td><td align="center" valign="middle" >9.52 &#177; 0.285</td><td align="center" valign="middle" >4.68 &#177; 0.140</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Paired sample test (p = 0.05, N = 5)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >S/N</th><th align="center" valign="middle" >Pair</th><th align="center" valign="middle" >Pair mean</th><th align="center" valign="middle" >Pair mean difference</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >P value</th><th align="center" valign="middle" >Decision on H<sub>0</sub></th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Zn* Zn</td><td align="center" valign="middle" >1.5160 &#177; 0.7071 1.4818 &#177; 0.7167</td><td align="center" valign="middle" >0.0342 &#177; 0.0687</td><td align="center" valign="middle" >1.113</td><td align="center" valign="middle" >0.328</td><td align="center" valign="middle" >Accepted</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Cu* Cu</td><td align="center" valign="middle" >1.8120 &#177; 1.0205 2.0010 &#177; 0.7321</td><td align="center" valign="middle" >−0.189 &#177; 0.4604</td><td align="center" valign="middle" >−0.918</td><td align="center" valign="middle" >0.411</td><td align="center" valign="middle" >Accepted</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Ca* Ca</td><td align="center" valign="middle" >6.9420 &#177; 2.1703 0.3980 &#177; 0.2205</td><td align="center" valign="middle" >6.5440 &#177; 0.9698</td><td align="center" valign="middle" >7.428</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >Rejected</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Mg* Mg</td><td align="center" valign="middle" >3.6060 &#177; 1.5783 0.9296 &#177; 0.5303</td><td align="center" valign="middle" >2.6764 &#177; 1.9278</td><td align="center" valign="middle" >3.104</td><td align="center" valign="middle" >0.036</td><td align="center" valign="middle" >Rejected</td></tr></tbody></table></table-wrap><p>Metals with (*) are those analysed using AAS.</p><p>The difference in mean of concentration of Ca in fish sample using cyanidin method and AAS was quite large (6.5440 &#177; 0.9698) compared to differences in means of Zn and Cu. The difference was significant (p &lt; 0.05) and T value &gt; 2.5706. Therefore it did not support H<sub>0</sub>. This analogy applies to Mg whose difference in means was appreciably significant, p &lt; 0.05. This in turn produced T-test values greater than 2.5706 (7.428 for Ca and 3.104 for Mg). Clearly statistics of Ca and Mg did not support H<sub>0</sub>. There large differences in mean may be suggesting a large shift in the UV region which explains absorption of light by unstable complexes of cyanidin with Ca and Mg. Therefore the result indicates that cyanidin is not a suitable metallochromic agent for the estimation of Ca and Mg in the fish samples.</p></sec></sec><sec id="s4"><title>4. Conclusion and Recommendations</title><sec id="s4_1"><title>4.1. Conclusion</title><p>From the results obtained and the statistical evaluation of the data, cyanidin method and AAS were both good alternatives to analysing Zn and Cu. Conversely, cyanidin method seems not a very good alternative to AAS in the quantitative determination of Ca and Mg. The method has shown good sensitivity, reliability and easy preparation of the reagent compared with other existing extractive spectrophotometric determination methods.</p></sec><sec id="s4_2"><title>4.2. Recommendations</title><p>This work recommends the following: firstly the authors have added Gmelina arborea as a source of cyanidin to published list of plants that contain cyanidin. There is plethora of plant sources yet to be identified and analysed for cyanidin. Such works should be done on plants that are yet to be explored to determine their analytical importance. This work has demonstrated the usefulness this method has on aquatic samples like fish. It is recommended that this method be used for metal analyses on other environmental samples such as soil, water, dust and plant tissues. As a work in progress, the authors are isolating other ligands contained in Gmelina arborea to determine their suitability in metal analyses.</p></sec></sec><sec id="s5"><title>Acknowledgements</title><p>The authors are grateful to Prof. C.O.B Okoye for his technical support in the course of the research.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ike, J.N., Tyopine, A.A. and Okoye, C.O.B. (2019) Application of Cyanidin in Quantitative Estimation of Metals in Fish Samples. American Journal of Analytical Chemistry, 10, 621-628. https://doi.org/10.4236/ajac.2019.1012043</p></sec></body><back><ref-list><title>References</title><ref id="scirp.96885-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Jaleel, K.A., Husain, A.M.S. and Angham, G.H. 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