1961
DOI: 10.1111/j.1813-6982.1961.tb02394.x
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The Clothing Industry in S.A.

Abstract: I. HISTORICALA s p e m : (a) the period from 1907 to the reat depression of 1929-32.; (b) the period from 1929-32 to k c commencement of the second world war; (c) the period of the second world war, 1939-45; (d) the immediate post-war period, 1945-1952/53; a) the period from 1953 to 1958-59; and 1. Wine Board re ort (unpublished) on "The clothinn industry. Wltwatcnrand and Pretoria". dmted 20th July, i. C a b f o r a . Port Elizabeth. East London, Durbnn. 1929 pnrni 6 I6 mnd 'fable A.Kingwilliamstown and Durba… Show more

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“…In the past years, lots of efforts have been focused on the development of sample clean-up and separation techniques. Generally recoveries of pesticide residues can be increased by an improved separation of target analytes and background compounds using liquid-liquid extraction (LLE) [15][16][17], solid phase extraction (SPE) [18,19], matrix solid phase dispersion (MSPD) [20][21] or additional chromatographic clean-up steps using size exclusion [22][23], ion exchange [24][25] or coupled-column chromatography [26][27]. Isotopically labeled internal standards [28] and matrix-matched standards [10] have also been considered as useful approaches to compensate the consequences of matrix effects on the reliability of the experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…In the past years, lots of efforts have been focused on the development of sample clean-up and separation techniques. Generally recoveries of pesticide residues can be increased by an improved separation of target analytes and background compounds using liquid-liquid extraction (LLE) [15][16][17], solid phase extraction (SPE) [18,19], matrix solid phase dispersion (MSPD) [20][21] or additional chromatographic clean-up steps using size exclusion [22][23], ion exchange [24][25] or coupled-column chromatography [26][27]. Isotopically labeled internal standards [28] and matrix-matched standards [10] have also been considered as useful approaches to compensate the consequences of matrix effects on the reliability of the experimental data.…”
Section: Introductionmentioning
confidence: 99%