MORPHOTYPOLOGICAL ANALYSIS OF STARCH GRANULES THROUGH DISCRIMINANT METHOD AND ITS APPLICATION IN PLANT ARCHEOLOGICAL SAMPLES
MORPHOTYPOLOGICAL ANALYSIS OF STARCH GRANULES THROUGH DISCRIMINANT METHOD AND ITS APPLICATION IN PLANT ARCHEOLOGICAL SAMPLES
复制标题
判别法淀粉颗粒形态分析及其在植物考古样品中的应用
DOI：
10.15666/aeer/1803_45954608
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发表时间：
2020
影响因子：
0.7
通讯作者：
LIAO F.Q.
中科院分区：
文献类型：
--
作者：
WAN Z.W.;LIN S.P.;JU M.;LING C.H.;JIA Y.L.;JIANG M.X.;LIAO F.Q.
淀粉颗粒分析有效地从考古环境中回收淀粉植物的微生物残留物。形态分析是鉴定淀粉颗粒的常用方法。然而，这种技术既耗时又不准确。植物形态类型的差异也可能导致显微镜观察结果不一致。为了解决这个问题，我们通过光学显微镜评估了三种淀粉颗粒的形态特征，特别是小麦、小米和山药中发现的淀粉颗粒。此外，我们利用ImageJ和SPSS软件进行形态类型分析和判别分析，对三类淀粉颗粒的几何特征数据集以及仙人洞和吊桶环遗址的淀粉颗粒化石进行计算机辅助分析。结果详细且与光学显微镜结果相当。使用ImageJ和SPSS软件改进的方法通过光学显微镜直接测量所需的时间更少，并且提高了淀粉颗粒识别的准确性，减少了主观性。因此，ImageJ和SPSS软件的结合是考古淀粉中淀粉颗粒形态类型分析和鉴定的一种有前途的技术
Starch granule analysis effectively recovers microbotanical residues of starchy plants from archaeological contexts. Morphometric analysis is a common method to identify starch granules. However, this technique is time-consuming and inaccurate. Morphotypological differences in plants may also cause inconsistent results during microscopic observations. To address this problem, we evaluated the morphotypological features of three types of starch granules, specifically those found in wheat, millet, and yam, through light microscopy. Moreover, we used morphotypological analysis and discriminant analysis by ImageJ and SPSS software to perform computer-assisted analysis on the data set of geometric characteristics of the three types of starch granules, as well as the starch granule fossils from the Xianrendong and Diaotonghuan archaeological sites. Results are detailed and comparable to the light microscopy findings. The improved method with ImageJ and SPSS software required less time by direct measurement with a light microscopy and enhanced the accuracy of starch granule identification with the reduction of subjectivity. Therefore, the combination of ImageJ and SPSS software is a promising technique for the morphotypological analysis and identification of starch granules in archaeological starch
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影响因子：
1.6
作者：
L. Xu;X. Ma;B. Zhang;Q. Zhang;P. Zhao
通讯作者：
L. Xu;X. Ma;B. Zhang;Q. Zhang;P. Zhao
影响因子：
3.9
作者：
Jana Vojteková;Matej Vojtek;A. Tirpáková;I. Vlkolinská
通讯作者：
Jana Vojteková;Matej Vojtek;A. Tirpáková;I. Vlkolinská
影响因子：
56.9
作者：
J. Mercader
通讯作者：
J. Mercader
影响因子：
2.6
作者：
D. Ugent;T. Dillehay;C. Ramírez
通讯作者：
D. Ugent;T. Dillehay;C. Ramírez
影响因子：
1.3
作者：
Jones, Martin;Hunt, Harriet;Motuzaite-Matuzeviciute, Giedre
通讯作者：
Motuzaite-Matuzeviciute, Giedre