Rapid Analysis of Volatile Biomarkers: Application of Real-time Mass Spectrometry for the Detection of Insect Infestation in Brown Rice
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- Tanaka Fukuyo
- Central Region Agricultural Research Center, National Agriculture and Food Research Organization Present address: Research Center for Advanced Analysis, National Agriculture and Food Research Organization
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- Shikata Masaki
- Kinryo electric Co., Ltd.
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- Ii Toshio
- Kinryo electric Co., Ltd.
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- Matsuo Tetsuya
- Kinryo electric Co., Ltd.
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- Miyanoshita Akihiro
- Institute of Food Research, National Agriculture and Food Research Organization
Bibliographic Information
- Other Title
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- 揮発性成分による玄米中貯穀害虫の検出:リアルタイム質量分析法を用いた迅速分析
- キハツセイ セイブン ニ ヨル ゲンマイ チュウチョコクガイチュウ ノ ケンシュツ : リアルタイム シツリョウ ブンセキホウ オ モチイタ ジンソク ブンセキ
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Abstract
<p>To prevent serious insect infestation in stored food, the development of early insect detection methods is essential. At present, detection is primarily conducted using pheromone traps, which are effective only after the insects have already propagated. In our previous study, new volatile biomarkers for the detection of insects in brown rice were determined using gas chromatography-mass spectrometry (GC-MS). In the present study, we attempted to develop a rapid analytical approach for the detection of major volatile biomarkers emitted from brown rice infested with Indian meal moth, rice moth, and maize weevil by employing a real-time mass spectrometry known as selected ion flow tube mass spectrometry (SIFT-MS). With selected ion monitoring (SIM) of m/z 86 by NO+ ionization, product ions that corresponded to prenol and isoprenol were detected from Indian meal moth-infested and rice moth-infested brown rice. The compounds were easily distinguishable from each other according to whether prenol-parallel prenal was generated. In the case of maize weevil, the target dimethyl trisulfide (DMTS) fluctuated at low levels. Nonetheless, the characteristic principal component analysis (PCA) score for maize weevil-infested brown rice could be obtained using the observed full scan data.</p>
Journal
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- Nippon Shokuhin Kagaku Kogaku Kaishi
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Nippon Shokuhin Kagaku Kogaku Kaishi 68 (7), 319-327, 2021-07-15
Japanese Society for Food Science and Technology
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Details 詳細情報について
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- CRID
- 1390288834704553984
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- NII Article ID
- 130008067827
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- NII Book ID
- AN10467499
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- ISSN
- 18816681
- 1341027X
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- NDL BIB ID
- 031558336
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed