Archaeometry of ferrous artefacts from Luso-Brazilian archaeological sites near Ipanema River, Brazil

Maia, Rafael Rocha; Dias, Marcelli Susaki; Azevedo, Cesar Roberto de Farias; Landgraf, Fernando José Gomes

doi:10.1590/0370-44672015680151

home Sumário navigate_before Anterior Atual Seguinte navigate_next

home Sumário

Metallurgy and materials • Rev. Esc. Minas 68 (2) • Apr-Jun 2015 • https://doi.org/10.1590/0370-44672015680151 linkcopy

Archaeometry of ferrous artefacts from Luso-Brazilian archaeological sites near Ipanema River, Brazil

Arqueometria de peças de ferro de sítios arqueológicos luso-brasileiros localizados próximos do Rio Ipanema, Brasil

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The present investigation analysed iron artefacts collected in two sites around Araçoaiaba Hill. A known methodology was adapted to investigate several samples collected at the Royal Iron Factory of São João do Ipanema and Sardinha sites. EDX microanalysis results of non-metallic inclusions were plotted in bivariate graphs. Linear regression (with and without the zero-intercept constraint) and line intercept significance tests were applied to interpret these results. The analysis did not allow the identification of the provenance of the production systems of Sardinha and Ipanema sites. The presence of Ti-rich inclusions was an unambiguous attribute of the samples collected at the Sardinha site.

Keywords:
archaeometry; inclusion; linear regression; intercept significance test

Samples	MgO	Al₂O₃	SiO₂	P₂O₅	K₂O	CaO	TiO₂	V₂O₅	MnO	FeO
I82	0.9 ± 0.6	2.1 ± 0.5	14.6 ± 4.7	2.1 ± 2.3	0.5 ± 0.1	1.5 ± 0.5	0.4 ± 0.1	0.3 ± 0.2	1.6 ± 0.8	75.7 ± 5.6
I84	1.3 ± 0.6	1.6 ± 0.5	10.1 ± 4.0	4.9 ± 3.7	0.3 ± 0.2	1.5 ± 1.1	0.4 ± 0.3	0.5 ± 0.4	2.3 ± 1.6	76.6 ± 9.5
I99	1.8 ± 0.4	2.6 ± 0.8	28.7 ± 9.5	3.2 ± 1.5	2.5 ± 1.3	9.5 ± 4.1	0.4 ± 0.2	0.5 ± 0.2	0.7 ± 0.2	49.7 ± 7.2
S106	1.1 ± 0.2	1.9 ± 0.5	13.8 ± 4.6	1.0 ± 0.4	1.1 ± 1.1	2.5 ± 0.9	5.7 ± 1.6	-	0.8 ± 0.2	72.1 ± 7.2
S107	3.6 ± 1.6	2.2 ± 0.8	33.1 ± 14.5	3.7 ± 0.4	2.3 ± 1.2	12.9 ± 6.9	1.6 ± 0.8	1.6 ± 1.1	1.9 ± 0.7	36.6 ± 23.1
S111	1.1 ± 0.3	1.8 ± 0.6	11.8 ± 6.7	1.0 ± 0.7	0.9 ± 0.9	2.3 ± 1.9	6.9 ± 3.5	1.5 ± 0.7	0.8 ± 0.2	71.6 ± 10.7

Relation	Sample	\|t\|	P	Can the linear regression go through the origin?	Slope (a)	Intercept (b)
%SiO₂ versus %Al₂O₃	I99	0	0.97	Yes	10.8	-0.1
	I82	1.9	0.07	Yes	7.2	11
	I84	4.8	0	No	4.2	3.6
%Al₂O₃ versus %MgO	I99	2.3	0.03	No	0.9	1
	I82	7.4	0	No	0.3	1.2
	I84	9.4	0	No	0.5	1
%CaO versus %K₂O	I99	4.5	0	No	0.4	1.6
	I82	5.9	0	No	-0.9	1.1
	I84	6.6	0	No	-1	1.8

Relation	Sample	\|t\|	p	Can the linear regression go through the origin?	Slope (a)	Intercept (b)
%SiO₂ versus %Al₂O₃	S106	1.7	0.1	Yes	8.5	-2.7
	S107	0.3	0.8	Yes	15.1	-0.8
	S111	0.1	0.92	Yes	6.7	-0.2
%Al₂O₃ versus %MgO	S106	2.9	0.01	No	0.8	1.1
	S107	4.1	0	No	0.5	0.4
	S111	0.4	0.67	Yes	1.6	0.1
%CaO versus %K₂O	S106	12.2	0	No	0.3	2.2
	S107	1.8	0.08	Yes	4.4	2.7
	S111	4.5	0	No	0.9	1.5

Sample	Constraint linear regression model (R²)			Unconstraint linear regression model (R²)
Sample	%Al₂O₃ x %MgO	%CaO x %K₂O	%SiO₂ x %Al₂O₃	%Al₂O₃ x %MgO	%CaO x %K₂O	%SiO₂ x %Al₂O₃
I99	0.94	0.92	0.74	0.32	0.62	0.74
I82	0.74	0.48	0.77	0.13	0.03	0.24
I84	0.88	0.33	0.88	0.41	0.06	0.32
S106	0.94	0.61	0.94	0.13	0.24	0.72
S107	0.98	0.93	0.96	0.92	0.62	0.83
S111	0.94	0.54	0.86	0.21	0.23	0.42
Average R² increase	3.9 times	4.9 times	1.9 times	-	-	-

vertical_align_top show_chart

more_horiz close
- image
- translate
- link
- article
- vertical_align_top
- file_download
- show_chart
- image
- translate
- link
- article

location_on

Escola de Minas Rua Carlos Walter Marinho Campos, 57 - Vila Itacolomy, 35400-000 Ouro Preto MG - Brazil, Tel: (55 31) 3551-4730/3559-7408 - Ouro Preto - MG - Brazil
E-mail: editor@rem.com.br

rss_feed Acompanhe os números deste periódico no seu leitor de RSS