Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 49(2022)
Rapid Determination of Amino Acids in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy and Artificial Neural Network
Figures & Tables(4)
Fig. 1. Simulation results of near-infrared model of essential amino acids
(a): Phenylalanine; (b): Methionine; (c): Leucine; (d): Threonine; (e): Valine; (f): Isoleucine; (g): Lysine
Fig. 2. Near infrared simulation of non-essential amino acids
(a): Glutamic acid; (b): Cysteine; (c): Aspartic acid; (d): Serine;(e): Arginine; (f): Alanine; (g): Histidine; (h): Glycine; (i): Proline; (j): Tyrosine
Table 1. Contents of amino acid in golden tartary buckwheat leaves using chemical method
View tableView in ArticleTable 1. Contents of amino acid in golden tartary buckwheat leaves using chemical method
氨基酸 最小值/
(mg·g-1)最大值/
(mg·g-1)平均值/
(mg·g-1)苏氨酸(Thr) 5.307 14.374 7.483 缬氨酸(Val) 6.137 16.204 8.238 甲硫氨酸(Met) 0.308 3.049 0.909 异亮氨酸(Ile) 5.259 14.134 7.083 亮氨酸(Leu) 9.730 26.061 13.119 苯丙氨酸(Phe) 5.936 17.223 8.212 赖氨酸(Lys) 6.640 17.280 9.135 谷氨酸(Glu) 10.984 27.740 20.185 天冬氨酸(Asp) 6.437 17.280 9.135 丝氨酸(Ser) 3.467 8.312 5.911 精氨酸(Arg) 4.937 14.772 9.654 丙氨酸(Ala) 3.329 6.885 5.208 组氨酸(His) 1.946 4.798 3.202 甘氨酸(Gly) 4.196 9.264 6.828 脯氨酸(Pro) 1.024 5.672 2.607 酪氨酸(Tyr) 0.176 1.173 0.647 半胱氨酸(Cys) 0.422 1.926 1.296
Table 2. Simulation results of near-infrared model of amino acids
View tableView in ArticleTable 2. Simulation results of near-infrared model of amino acids
氨基酸
模型参试数据的相对误差 平均相对
误差/%相关
系数Phe 0.170 9 0.032 0 0.020 7 0.371 3 0.072 6 0.072 6 0.067 9 0.087 8 0.002 3 0.036 6 9.35 0.911 9 Met 0.694 9 0.388 7 0.085 4 0.119 6 0.253 6 0.010 2 0.043 0 0.269 0 0.024 5 0.709 6 25.98 0.914 9 Leu 0.117 5 0.085 6 0.227 7 0.127 9 0.107 1 0.013 0 0.002 6 0.038 4 0.114 7 0.107 1 9.41 0.936 4 Thr 0.026 3 0.037 8 0.201 7 0.016 2 0.271 7 0.028 5 0.027 9 0.006 5 0.030 4 0.011 8 6.59 0.917 6 Val 0.025 7 0.080 5 0.110 8 0.036 8 0.008 6 0.113 9 0.045 3 0.290 2 0.105 3 0.035 4 8.53 0.935 1 Ile 0.099 4 0.043 4 0.049 4 0.089 9 0.055 8 0.055 8 0.304 7 0.056 7 0.006 9 0.100 7 8.63 0.929 3 Lys 0.122 6 0.120 1 0.015 7 0.086 7 0.197 3 0.001 4 0.040 4 0.022 7 0.005 3 0.176 9 7.89 0.917 0 Ser 0.032 0 0.027 0 0.022 2 0.052 2 0.004 9 0.000 8 0.027 0 0.014 0 0.003 6 0.055 0 2.39 0.926 5 Arg 0.044 0 0.006 0 0.142 7 0.013 3 0.006 5 0.053 1 0.008 1 0.055 6 0.078 5 0.014 5 4.22 0.975 3 Ala 0.103 4 0.169 0 0.129 1 0.134 2 0.012 2 0.031 1 0.055 5 0.158 1 0.024 3 0.007 2 8.24 0.920 0 His 0.166 1 0.085 3 0.016 1 0.084 4 0.006 2 0.024 0 0.282 8 0.010 4 0.130 1 0.000 8 8.06 0.912 1 Gly 0.009 8 0.088 4 0.168 1 0.005 6 0.009 7 0.013 3 0.268 6 0.010 0 0.232 3 0.010 0 8.16 0.910 7 Glu 0.055 7 0.152 7 0.180 0 0.179 8 0.120 0 0.041 3 0.111 5 0.046 6 0.017 1 0.021 0 9.26 0.897 5 Cys 0.004 4 0.979 3 0.049 7 0.543 5 0.125 7 0.138 2 0.417 3 0.442 0 0.469 0 0.153 4 33.23 0.788 0 Asp 0.090 5 0.082 2 0.140 5 0.045 4 0.063 5 0.070 7 0.000 3 0.087 0 0.055 8 0.030 8 6.67 0.971 3 Pro 0.002 4 0.107 7 0.010 7 0.230 7 0.027 4 0.065 3 0.226 3 0.013 9 0.018 7 0.182 7 7.86 0.899 1 Tyr 0.008 4 0.022 0 0.025 5 0.299 5 0.028 3 0.064 8 0.071 9 0.215 1 0.082 1 0.008 4 8.26 0.931 2
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Li-wei ZHU, Jin-xin YAN, Juan HUANG, Tao-xiong SHI, Fang CAI, Hong-you LI, Qing-fu CHEN, Qi-jiao CHEN. Rapid Determination of Amino Acids in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy and Artificial Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 49
Paper Information
Category: Research Articles
Received: Dec. 1, 2020
Accepted: --
Published Online: Mar. 31, 2022
The Author Email: Li-wei ZHU (liweib0401001@163.com)
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