Analytical quality in environmental studies: uncertainty evaluation of chemical concentrations determined by INAA

França, Elvis Joacir de; Fernandes, Elisabete A. De Nadai; Bacchi, M. A.; Saiki, M.

doi:10.1590/s1516-89132006000200016

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Details of experimental design are described elsewhere [10]. The most abundant tree species from a long-term plot of 0.1 km 2 in the Parque Estadual Carlos Botelho (PECB), São Paulo State, Brail, are presented in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Improving sample representativeness in environmental studies: a major component for the uncertainty budget

França

Fernandes

Bacchi

et al. 2009

J Radioanal Nucl Chem

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For environmental quality assessment, INAA has been applied for determining chemical elements in small (200 mg) and large (200 g) samples of leaves from 200 trees. By applying the Ingamells' constant, the expected percent standard deviation was estimated in 0.9-2.2% for 200 mg samples. Otherwise, for composite samples (200 g), expected standard deviation varied from 0.5 to 10% in spite of analytical uncertainties ranging from 2 to 30%. Results thereby suggested the expression of the degree of representativeness as a source of uncertainty, contributing for increasing of the reliability of environmental studies mainly in the case of composite samples.

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Section: Methodsmentioning

confidence: 99%

Improving sample representativeness in environmental studies: a major component for the uncertainty budget

França

Fernandes

Bacchi

et al. 2009

J Radioanal Nucl Chem

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Lipase Production in Solid-State Fermentation Monitoring Biomass Growth of Aspergillus niger Using Digital Image Processing

Dutra¹,

Terzi²,

Bevilaqua³

et al. 2007

Biotechnology for Fuels and Chemicals

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Lipase Production in Solid-State Fermentation Monitoring Biomass Growth of Aspergillus niger Using Digital Image Processing

Dutra

Terzi

Bevilaqua

et al. 2007

Appl Biochem Biotechnol

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The aim of this study was to monitor the biomass growth of Aspergillus niger in solid-state fermentation (SSF) for lipase production using digital image processing technique. The strain A. niger 11T53A14 was cultivated in SSF using wheat bran as support, which was enriched with 0.91% (m/v) of ammonium sulfate. The addition of several vegetable oils (castor, soybean, olive, corn, and palm oils) was investigated to enhance lipase production. The maximum lipase activity was obtained using 2% (m/m) castor oil. In these conditions, the growth was evaluated each 24 h for 5 days by the glycosamine content analysis and digital image processing. Lipase activity was also determined. The results indicated that the digital image process technique can be used to monitor biomass growth in a SSF process and to correlate biomass growth and enzyme activity. In addition, the immobilized esterification lipase activity was determined for the butyl oleate synthesis, with and without 50% v/v hexane, resulting in 650 and 120 U/g, respectively. The enzyme was also used for transesterification of soybean oil and ethanol with maximum yield of 2.4%, after 30 min of reaction.

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Analytical quality in environmental studies: uncertainty evaluation of chemical concentrations determined by INAA

Abstract: Instrumental neutron activation analysis (INAA) is a measurement technique of high metrological

Cited by 3 publications

References 7 publications

Improving sample representativeness in environmental studies: a major component for the uncertainty budget

Improving sample representativeness in environmental studies: a major component for the uncertainty budget

Lipase Production in Solid-State Fermentation Monitoring Biomass Growth of Aspergillus niger Using Digital Image Processing

Lipase Production in Solid-State Fermentation Monitoring Biomass Growth of Aspergillus niger Using Digital Image Processing

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