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Optimization of HS-SPME-GC method for detection of stored grain insects

Niu, Y., Hardy, G., Hua, L., Trengove, R., Agarwal, M.ORCID: 0000-0002-8781-3850, Cheng, H. and Ren, Y. (2012) Optimization of HS-SPME-GC method for detection of stored grain insects. In: 9th International Conference on Controlled Atmosphere and Fumigation in Stored Products, 15 - 19 October 2012, Antalya, Turkey pp. 721-727.

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Headspace solid phase micro-extraction (HS-SPME) coupled with gas chromatography (GC) is a useful sample preparation, volatile extraction and separation method for analysis of volatile compounds from stored grain insects and their hosts. However, for using this high-quality analytical method, there is a need to optimize a range of factors to ensure good extraction efficiency. These factors include fibre selection, column selection and sample preparation. In this paper, six types of polar and non-polar fibre (100µm PDMS, 85 µm PA, 85 µm CAR/PDMS, 65 µm PDMS/DVB, 50/30 µm PDMS/CAR/DVB and 7 µm PDMS) were used to conduct the HS-SPME of volatile chemicals from wheat, wheat flour and two species of stored grain insects Tribolium castaneum (Herbst) and Rhyzopertha dominica (Fabricius). The results showed that the 50/30 µm PDMS/CAR/DVB fibre not only extracted the maximum number of volatile organic chemicals (VOCs), but also captured the largest mass of VOCs for subsequent detection by GC. Optimum sample sealing time, fibre extraction time, desorption time and temperature were 24 h, 4 h, 5 min and 250°, respectively. The GC results of volatiles from different samples gave different patterns of GC spectrum, which indicated that different volatile compounds were released from the different samples. Therefore, this study provides a detailed sequence of HS-SPME-GC optimization steps that can be applied towards the development of HS-SPME-GC methods to detect stored grain insects.

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