{"created":"2024-12-12T07:18:47.294033+00:00","id":2009812,"links":{},"metadata":{"_buckets":{"deposit":"7dc86352-ba46-4704-ad41-afba8f3a5a3d"},"_deposit":{"created_by":7,"id":"2009812","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2009812"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02009812","sets":["1713853213384:1713853295607"]},"author_link":["172","273"],"item_10001_alternative_title_1":{"attribute_name":"タイトル別表記","attribute_value_mlt":[{"subitem_alternative_title":"Noise Reduction Using Fourier Analysis in Microsoft Excel : Improvement of the Signal-to-Noise Ratio in Flow Injection Analysis","subitem_alternative_title_language":"en"}]},"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-04-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4-5","bibliographicPageEnd":"287","bibliographicPageStart":"283","bibliographicVolumeNumber":"71","bibliographic_titles":[{"bibliographic_title":"分析化学","bibliographic_titleLang":"ja"},{"bibliographic_title":"BUNSEKI KAGAKU","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In flow injection analysis (FIA), the baseline noise of the detection signal is an important parameter that determines the detection sensitivity. In this study, we applied the Fourier analysis/inverse Fourier analysis of Microsoft Excel to the detection signal of FIA to decrease the noise signal. The Fourier analysis of the detection signal for a sample of 0.06 mg L−1 NO2− showed many frequency components with amplitudes less than 0.04 mV. After removing these frequency components, inverse Fourier analysis was applied, and a smooth detection signal was obtained. Even with a sample of 2.50 mg L−1 NO2−, the noise signals were successfully removed using the Fourier/inverse Fourier analysis. The signal-to-noise ratio (S/N) of NO2− was improved by ca. 15 times. We concluded that removing noise signals by Fourier analysis effectively improves the S/N of FIA.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本分析化学会","subitem_publisher_language":"ja"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"05251931","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AN00222633","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access"}]},"item_1722929371688":{"attribute_name":"出版社版DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"10.2116/bunsekikagaku.71.283"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.2116/bunsekikagaku.71.283","subitem_relation_type_select":"DOI"}}]},"item_1723180141928":{"attribute_name":"EID","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"385262"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"七條, まりあ","creatorNameLang":"ja"},{"creatorName":"シチジョウ, マリア","creatorNameLang":"ja-Kana"},{"creatorName":"Shichijo, Maria","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"田中, 秀治","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"172","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"竹内, 政樹","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"273","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2022-06-06"}],"displaytype":"detail","filename":"bk_71_4-5_283.pdf","filesize":[{"value":"604 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://tokushima-u.repo.nii.ac.jp/record/2009812/files/bk_71_4-5_283.pdf"},"version_id":"e265aa72-38ac-4154-af65-e70b9f6ff624"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"noise reduction","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"S/N","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"FIA","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"nitrite","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Griess reaction","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"fast Fourier transform","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Microsoft Excel","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Microsoft Excelのフーリエ解析を用いるノイズ信号の軽減 : フローインジェクション分析法におけるシグナルノイズ比の向上","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Microsoft Excelのフーリエ解析を用いるノイズ信号の軽減 : フローインジェクション分析法におけるシグナルノイズ比の向上","subitem_title_language":"ja"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-06-06"},"publish_date":"2022-06-06","publish_status":"0","recid":"2009812","relation_version_is_last":true,"title":["Microsoft Excelのフーリエ解析を用いるノイズ信号の軽減 : フローインジェクション分析法におけるシグナルノイズ比の向上"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2024-12-12T07:18:56.115145+00:00"}