Literature DB >> 31473459

Volatile biomarkers for early-stage detection of insect-infested brown rice: Isopentenols and polysulfides.

Fukuyo Tanaka1, Yukio Magariyama2, Akihiro Miyanoshita3.   

Abstract

To reduce food loss from stored products by insect attack, monitoring and early detection of insects are essential. Presently, monitoring with pheromone traps is the primary method for detection; however, traps are effective only after the insects propagate. Detection and identification of the early volatile biomarkers arising from insect-infested brown rice was performed in this study to develop an alternative detection strategy. Brown rice was infested with eggs of seven insect species, including Sitophilus zeamais and Plodia interpunctella. Infested rice emitted at least one of the volatile compounds prenol, isoprenol, dimethyl disulfide, and dimethyl trisulfide (DMTS). In particular, isopentenols were generated by moths within one week of infestation, whereas they were not released from non-infested rice. DMTS was detected from all insect-infested brown rice, especially S. zeamais and P. interpunctella. These volatiles are potential early biomarkers for the presence of insects in brown rice.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Keywords:  2-Methylfuran (PubChem CID:10797); 2-Pentylfuran (PubChem CID:19602); Dimethyl disulfide (DMDS); Dimethyl disulfide (PubChem CID:12232); Dimethyl trisulfide (DMTS); Dimethyl trisulfide (PubChem CID:19310); Hexanal (PubChem CID:6184); Isoprenol; Isoprenol (PubChem CID:12988); Larvae monitoring; Prenal (PubChem CID: 61020); Prenol; Prenol (PubChem CID:11173); Stored brown rice; Volatile biomarkers

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Year:  2019        PMID: 31473459     DOI: 10.1016/j.foodchem.2019.125381

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Correlation between Irradiation Treatment and Metabolite Changes in Bactrocera dorsalis (Diptera: Tephritidae) Larvae Using Solid-Phase Microextraction (SPME) Coupled with Gas Chromatography-Mass Spectrometry (GC-MS).

Authors:  Changyao Shan; Baishu Li; Li Li; Beibei Li; YongLin Ren; Tao Liu
Journal:  Molecules       Date:  2022-07-20       Impact factor: 4.927

  1 in total

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