2020
DOI: 10.1016/j.jspr.2020.101697
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Status of glycemic index of paddy rice grain (Oryza sativa L.) on infestation by storage pest Sitotroga cerealella

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Cited by 11 publications
(1 citation statement)
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“…Tanaka et al (2020) carried out the detection of VOCs, early biomarkers of pest invasion, and proved the existence of insects in stored rice, especially larvae. Pests in rice mainly include Indian meal moth (P. interpunctella) (Tang, 2012), dried currant moth (Cadra cautella), mediterranean flour moth (Ephestia kuehniella) (Madbooni & Abad, 2012), tobacco moth (Ephestia elutella) (Paloukas et al, 2020), rice moth (Corcyra cephalonica) (Rossini et al, 2021), maize weevil (S. zeamais) (Attia et al, 2020), red flour beetle (T. castaneum) (Devi et al, 2021), and Angoumois grain moth (Sitotroga cerealella) (Kumar et al, 2020). Concerning the method for collecting VOCs released during rice mildew and insect infestation, headspace analysis is widely used in rice VOC gas sampling, which is updated with the development of gas chromatography analysis methods, mainly divided into static headspace analysis, dynamic headspace analysis, and headspace-solid phase microextraction (HS-SPME).…”
Section: Voc Detectionmentioning
confidence: 99%
“…Tanaka et al (2020) carried out the detection of VOCs, early biomarkers of pest invasion, and proved the existence of insects in stored rice, especially larvae. Pests in rice mainly include Indian meal moth (P. interpunctella) (Tang, 2012), dried currant moth (Cadra cautella), mediterranean flour moth (Ephestia kuehniella) (Madbooni & Abad, 2012), tobacco moth (Ephestia elutella) (Paloukas et al, 2020), rice moth (Corcyra cephalonica) (Rossini et al, 2021), maize weevil (S. zeamais) (Attia et al, 2020), red flour beetle (T. castaneum) (Devi et al, 2021), and Angoumois grain moth (Sitotroga cerealella) (Kumar et al, 2020). Concerning the method for collecting VOCs released during rice mildew and insect infestation, headspace analysis is widely used in rice VOC gas sampling, which is updated with the development of gas chromatography analysis methods, mainly divided into static headspace analysis, dynamic headspace analysis, and headspace-solid phase microextraction (HS-SPME).…”
Section: Voc Detectionmentioning
confidence: 99%