Validation of a fast automated photometric method for the analysis of sulfur dioxide in wines
In this work a simple and rapid automated analytical method for the determination of sulfur dioxide in wines by employing a sequential automatic analyser was validated. The methodology is based on the reaction of sulfur dioxide with 5,5′-dithiobis-(2-nitrobenzoic acid) in an alkaline medium followed...
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| Veröffentlicht in: | European food research & technology 2024-06, Vol.250 (6), p.1611-1618 |
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| container_title | European food research & technology |
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| creator | Campo-Martínez, Jairo-Francisco Enseñat-Berea, María-Luisa Fernández-Paz, Jaime González-Castro, María-José |
| description | In this work a simple and rapid automated analytical method for the determination of sulfur dioxide in wines by employing a sequential automatic analyser was validated. The methodology is based on the reaction of sulfur dioxide with 5,5′-dithiobis-(2-nitrobenzoic acid) in an alkaline medium followed by photometric detection. The linearity of the calibration curve was excellent (
R
2
= 1.000) and the LOQ (2.00 mg L
−1
) was well suited for the monitoring of regulatory limits. The accuracy and precision were evaluated with reference materials, providing highly successful results (RSD% |
| doi_str_mv | 10.1007/s00217-024-04496-x |
| format | Article |
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R
2
= 1.000) and the LOQ (2.00 mg L
−1
) was well suited for the monitoring of regulatory limits. The accuracy and precision were evaluated with reference materials, providing highly successful results (RSD% < 3.8 for precision and
R
2
= 0.99 of correlation between the obtained and declared values). The method was applied to the analysis of commercial samples of wines ensuring compliance with legislation. The results found were compared to those obtained with the spectrophotometric method recommended for beers, implemented in a flow system, showing that there are no statistical differences between them (α ≤ 0.05). When compared with conventional methods, the proposed methodology showed to be fast, with minimum handling of the sample and small sample and reagents volume requirement, which together with a minimum maintenance, involves a considerable reduction in laboratory costs.</description><identifier>ISSN: 1438-2377</identifier><identifier>EISSN: 1438-2385</identifier><identifier>DOI: 10.1007/s00217-024-04496-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Analytical Chemistry ; Automation ; Biotechnology ; Chemistry ; Chemistry and Materials Science ; Flow system ; Food Science ; Forestry ; Legislation ; Nitrobenzoic acid ; Original Paper ; Photometry ; Reagents ; Spectrophotometry ; Sulfur ; Sulfur dioxide ; Wines</subject><ispartof>European food research & technology, 2024-06, Vol.250 (6), p.1611-1618</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-fe6c9735f31c89a886659d0565806631072e94ec26741dfc8fc18b6ff2aef7f03</cites><orcidid>0000-0001-5718-9631</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00217-024-04496-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00217-024-04496-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Campo-Martínez, Jairo-Francisco</creatorcontrib><creatorcontrib>Enseñat-Berea, María-Luisa</creatorcontrib><creatorcontrib>Fernández-Paz, Jaime</creatorcontrib><creatorcontrib>González-Castro, María-José</creatorcontrib><title>Validation of a fast automated photometric method for the analysis of sulfur dioxide in wines</title><title>European food research & technology</title><addtitle>Eur Food Res Technol</addtitle><description>In this work a simple and rapid automated analytical method for the determination of sulfur dioxide in wines by employing a sequential automatic analyser was validated. The methodology is based on the reaction of sulfur dioxide with 5,5′-dithiobis-(2-nitrobenzoic acid) in an alkaline medium followed by photometric detection. The linearity of the calibration curve was excellent (
R
2
= 1.000) and the LOQ (2.00 mg L
−1
) was well suited for the monitoring of regulatory limits. The accuracy and precision were evaluated with reference materials, providing highly successful results (RSD% < 3.8 for precision and
R
2
= 0.99 of correlation between the obtained and declared values). The method was applied to the analysis of commercial samples of wines ensuring compliance with legislation. The results found were compared to those obtained with the spectrophotometric method recommended for beers, implemented in a flow system, showing that there are no statistical differences between them (α ≤ 0.05). When compared with conventional methods, the proposed methodology showed to be fast, with minimum handling of the sample and small sample and reagents volume requirement, which together with a minimum maintenance, involves a considerable reduction in laboratory costs.</description><subject>Agriculture</subject><subject>Analytical Chemistry</subject><subject>Automation</subject><subject>Biotechnology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Flow system</subject><subject>Food Science</subject><subject>Forestry</subject><subject>Legislation</subject><subject>Nitrobenzoic acid</subject><subject>Original Paper</subject><subject>Photometry</subject><subject>Reagents</subject><subject>Spectrophotometry</subject><subject>Sulfur</subject><subject>Sulfur dioxide</subject><subject>Wines</subject><issn>1438-2377</issn><issn>1438-2385</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kM1KAzEYRYMoWKsv4CrgejR_k2SWUvyDght1JyFmEpsyndQkg9O3N3VEd66-u7jn8nEAOMfoEiMkrhJCBIsKEVYhxhpejQdghhmVFaGyPvzNQhyDk5TWCNUNx2wGXl9051udfehhcFBDp1OGeshho7Nt4XYVSrQ5egPLWYUWuhBhXlmoe93tkk97Lg2dGyJsfRh9a6Hv4afvbToFR053yZ793Dl4vr15WtxXy8e7h8X1sjIUs1w5y00jaO0oNrLRUnJeNy2qeS0R5xQjQWzDrCFcMNw6I53B8o07R7R1wiE6BxfT7jaGj8GmrNZhiOW_pGiZITXGZWcOyNQyMaQUrVPb6Dc67hRGaq9RTRpV0ai-NaqxQHSCUin37zb-Tf9DfQFvU3Zy</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Campo-Martínez, Jairo-Francisco</creator><creator>Enseñat-Berea, María-Luisa</creator><creator>Fernández-Paz, Jaime</creator><creator>González-Castro, María-José</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QR</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0001-5718-9631</orcidid></search><sort><creationdate>20240601</creationdate><title>Validation of a fast automated photometric method for the analysis of sulfur dioxide in wines</title><author>Campo-Martínez, Jairo-Francisco ; Enseñat-Berea, María-Luisa ; Fernández-Paz, Jaime ; González-Castro, María-José</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-fe6c9735f31c89a886659d0565806631072e94ec26741dfc8fc18b6ff2aef7f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agriculture</topic><topic>Analytical Chemistry</topic><topic>Automation</topic><topic>Biotechnology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Flow system</topic><topic>Food Science</topic><topic>Forestry</topic><topic>Legislation</topic><topic>Nitrobenzoic acid</topic><topic>Original Paper</topic><topic>Photometry</topic><topic>Reagents</topic><topic>Spectrophotometry</topic><topic>Sulfur</topic><topic>Sulfur dioxide</topic><topic>Wines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campo-Martínez, Jairo-Francisco</creatorcontrib><creatorcontrib>Enseñat-Berea, María-Luisa</creatorcontrib><creatorcontrib>Fernández-Paz, Jaime</creatorcontrib><creatorcontrib>González-Castro, María-José</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>European food research & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Campo-Martínez, Jairo-Francisco</au><au>Enseñat-Berea, María-Luisa</au><au>Fernández-Paz, Jaime</au><au>González-Castro, María-José</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of a fast automated photometric method for the analysis of sulfur dioxide in wines</atitle><jtitle>European food research & technology</jtitle><stitle>Eur Food Res Technol</stitle><date>2024-06-01</date><risdate>2024</risdate><volume>250</volume><issue>6</issue><spage>1611</spage><epage>1618</epage><pages>1611-1618</pages><issn>1438-2377</issn><eissn>1438-2385</eissn><abstract>In this work a simple and rapid automated analytical method for the determination of sulfur dioxide in wines by employing a sequential automatic analyser was validated. The methodology is based on the reaction of sulfur dioxide with 5,5′-dithiobis-(2-nitrobenzoic acid) in an alkaline medium followed by photometric detection. The linearity of the calibration curve was excellent (
R
2
= 1.000) and the LOQ (2.00 mg L
−1
) was well suited for the monitoring of regulatory limits. The accuracy and precision were evaluated with reference materials, providing highly successful results (RSD% < 3.8 for precision and
R
2
= 0.99 of correlation between the obtained and declared values). The method was applied to the analysis of commercial samples of wines ensuring compliance with legislation. The results found were compared to those obtained with the spectrophotometric method recommended for beers, implemented in a flow system, showing that there are no statistical differences between them (α ≤ 0.05). When compared with conventional methods, the proposed methodology showed to be fast, with minimum handling of the sample and small sample and reagents volume requirement, which together with a minimum maintenance, involves a considerable reduction in laboratory costs.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00217-024-04496-x</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5718-9631</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agriculture Analytical Chemistry Automation Biotechnology Chemistry Chemistry and Materials Science Flow system Food Science Forestry Legislation Nitrobenzoic acid Original Paper Photometry Reagents Spectrophotometry Sulfur Sulfur dioxide Wines |
| title | Validation of a fast automated photometric method for the analysis of sulfur dioxide in wines |
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