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Comparison of Mineral Element Contents in Silky Fowl and Non-Medicinal Chicken |
TIAN Ying-gang, HU Qing-qing, XIE Ming-yong |
State Key Laboratory of Food Science and Technology, Nanchang University,Nanchang 330047, China |
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Abstract Analysis and comparison of mineral and microelement contents in Silky Black-bone Silky fowl (BSF) is a traditional Chinese edible chicken that is endemic to China. In generally Lingnan Yellow Chinken (LNYC) and Chongren Chicken (CRC) are not used medicinally in traditional Chinese medicine, but they belong to two high quality chicken breeds with a wide range of aquaculture. In addition to the content of mineral elements and distribution characteristics and chicken-related, but also with the breeding conditions, especially feed and water are closely related. Therefore, two kinds of non-medicinal chicken breeds raised under the same conditions as mentioned above can eliminate the experimental error and enhance the reliability of experimental results. In this paper, inductively coupled plasma atomic emission spectrometry (ICP-AES) has been used to determine the effect of two kinds of chicken on the basis of the advantages of fast analysis, wide range of measurement, high accuracy and precision, good selectivity and simultaneous determination of multiple elements The content of eight kinds of mineral elements in different species can better compare the differences of the content of mineral elements contained in different kinds of chicken breeds and more accurately reflect the nutritional value of silky fowls. Under the same feeding, drinking water and feeding environment, two kinds of non-medicinal chicken were used as control. ICP-AES method was used to determine the P, Ca, Na, K, Mg, Fe, Cu and Zn in BSF, LNYC, CRC. Take their skin, bones, chicken breasts, chicken thighs as a sample (n=8), cut and dried until constant weight, weighing. Take the above samples for each of the three parallel samples, each weighing about 2 g precision, were added 10ml mixed acid (HClO4∶HNO3=1∶4), heat digestion. After cooling, the sample was dissolved in 2% HNO3, and a blank test solution was prepared with distilled water as the sample. The sample was determined under the selected working conditions. The main working conditions of ICP-AES are set as follows: RF power 1.2 kW; auxiliary gas flow 0.2 L·min-1; atomizing gas flow 0.8 L·min-1; plasma gas flow 15 L·min-1; solution lift 1.5 mL·min-1; Cooling air flow 15 L·min-1. The determination of all samples had been repeated for three times. All data are expressed as mea±standard deviation (x±s). Significance analysis using SPSS20.0 statistical software test for evaluation. Univariate analysis of variance was used to study variables in different groups, assuming a significant difference of p<0.05. The correlation coefficient r>0.999 54 and the limit of detection (0.01~3.90 μg·g-1) of the standard curve were measured experimentally, which showed that there was a good linear relationship between the concentration of each element and the absorbance within the concentration range studied, ensure the accuracy of the experiment. Compared with other two non-medicinal breeds, BSF’s skin shows much higher concentrations in all of the eight mineral elements content (p<0.01); Ca,Fe,Na, Zn in the bone of BSF are higher than that of the others too(Ca,Fe:p<0.01, Na,Zn:p<0.05). Interestingly, Ca and Fe in BSF’s breast are higher than others’ (Ca:p<0.05, Fe:p<0.01), while BSF’s Mg are the lowest among the three breeds (p<0.01); Fe and Cu in BSF’s leg are the highest (p<0.01), while Na,K,Mg,Zn in BSF’s leg are very low (p<0.05). On the other hand, CRC and LNYC show similar results in the eight mineral elements contents. In summary, the high contents of Ca and Fe are the most remarkable characteristics of BSF, and BSF’s hematinics function might be relating to its Fe content. Therefore, this study helps to reveal the BSF’s hematinics theory.
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Received: 2017-11-16
Accepted: 2018-03-20
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[1] Tian Y, Xie M, Wang W, et al. European Food Research & Technology, 2007, 226(1-2): 311.
[2] WANG Yong, LIU Jian-hua, TIAN Ying-gang,et al(王 勇, 刘建华, 田颖刚, 等). Food Science(食品科学), 2010, 31(21): 340.
[3] XIE Ming-yong, TIAN Ying-gang, TU Yong-gang(谢明勇, 田颖刚, 涂勇刚). Modern Food Science and Technology(现代食品科技), 2009, 25(5): 461.
[4] MENG Hui-ping, LI Dong-li, YANG Yan-zhe(孟惠平, 李冬莉, 杨延哲) . Studies of Trace Elements and Health(微量元素与健康研究), 2010, 27(5): 65.
[5] YANG Li-qiu, SONG Shu-wen, ZHAO Da-mei(杨丽秋, 宋淑文, 赵大梅). Chinese Journal of Modern Drug Application(中国现代药物应用), 2011, 5(24): 123.
[6] DONG Guo-li(董国力). China Modern Medicine(中国当代医药), 2013, 20(6): 183.
[7] CUI Li-jun, ZHANG Wen-ju(崔立军, 张文菊). Chinese Journal of Clinical Rational Drug Use(临床合理用药杂志), 2014, 7(1): 130.
[8] LIANG Yan-ting(梁燕婷). Chinese Journal of Clinical Rational Drug Use(临床合理用药杂志), 2017, 10(6): 176.
[9] LI Shu-qin, ZHAI Jun-min(李淑芹, 翟俊民). Chinese Journal of Control of Endemic Diseases(中国地方病防治杂志), 2008, 23(6): 433.
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