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Application of Quality-by-Design Approach in the Analytical Method Development for Quantification of Sugars in Sugarcane Honey by Reversed-Phase Liquid Chromatography
Produced in Madeira Island from regional sugarcane cultivars through a traditional manufacturing and storage process, sugarcane honey (SCH) is a black syrup recognized by its excellent quality. Its economic value has led to the emergence of adulterated SCH, whereby the identification of molecular ma...
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Published in: | Food analytical methods 2020-08, Vol.13 (8), p.1634-1649 |
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description | Produced in Madeira Island from regional sugarcane cultivars through a traditional manufacturing and storage process, sugarcane honey (SCH) is a black syrup recognized by its excellent quality. Its economic value has led to the emergence of adulterated SCH, whereby the identification of molecular markers became an essential task in order to overcome the fraudulent activities, protect its authenticity, and guarantee the consumer safety. In the present study, an analytical strategy based on ultrasound-assisted liquid-liquid extraction (USA-LLE) followed by reversed-phase liquid chromatography with a refractive index detector (LC-RI) was developed for the determination of sugars (glucose, fructose, sucrose, xylose, and mannose) in SCH samples from certified producers, supported on analytical quality-by-design (AQbD) approach, as a useful tool to establish its typicality. The application of AQbD was based on analytical risk assessment, multivariate statistics and quality control procedures for definition of the Method Operable Design Region (MODR). The optimal conditions into MODR were accomplished using BEH Amide column operating at a temperature of 80 °C and a flow rate of 300 μL min
−1
, with a mobile phase composed by acetone and water (85:15,
v v
−1
) at a flow rate of 1.0 mL min
−1
. The robustness was determined by Monte Carlo simulation and capability analysis. The concentration-response function for all sugars was described by polynomial models. Accuracy was presented by recovery values between 98.2 and 119.5%. The analytical figures of merit validated the utility of AQbD in the systematic design of a LC-RI method with fine sensitivity for sugar analysis in SCH. |
doi_str_mv | 10.1007/s12161-020-01767-7 |
format | article |
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−1
, with a mobile phase composed by acetone and water (85:15,
v v
−1
) at a flow rate of 1.0 mL min
−1
. The robustness was determined by Monte Carlo simulation and capability analysis. The concentration-response function for all sugars was described by polynomial models. Accuracy was presented by recovery values between 98.2 and 119.5%. The analytical figures of merit validated the utility of AQbD in the systematic design of a LC-RI method with fine sensitivity for sugar analysis in SCH.</description><identifier>ISSN: 1936-9751</identifier><identifier>EISSN: 1936-976X</identifier><identifier>DOI: 10.1007/s12161-020-01767-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acetone ; Analytical Chemistry ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Chromatography ; Computer simulation ; Cultivars ; Design ; Design analysis ; Economic conditions ; Flow rates ; Flow velocity ; Food Science ; Fructose ; Honey ; Liquid chromatography ; Liquid-liquid extraction ; Mannose ; Mathematical analysis ; Microbiology ; Model accuracy ; Monte Carlo simulation ; Multivariate analysis ; Polynomials ; Quality control ; Refractivity ; Response functions ; Risk analysis ; Risk assessment ; Statistical analysis ; Statistical methods ; Sucrose ; Sugar ; Sugarcane ; Syrup ; Ultrasound</subject><ispartof>Food analytical methods, 2020-08, Vol.13 (8), p.1634-1649</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c391t-8f5fc8c1a10ecbf973e9f3154a884565fdebd07c326ff1278b2265b6c7ae9db93</citedby><cites>FETCH-LOGICAL-c391t-8f5fc8c1a10ecbf973e9f3154a884565fdebd07c326ff1278b2265b6c7ae9db93</cites><orcidid>0000-0002-3018-3165 ; 0000-0003-1487-9346 ; 0000-0001-5540-318X ; 0000-0003-1965-3151 ; 0000-0002-7223-1022</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Silva, Pedro</creatorcontrib><creatorcontrib>Silva, Catarina L.</creatorcontrib><creatorcontrib>Perestrelo, Rosa</creatorcontrib><creatorcontrib>Nunes, Fernando M.</creatorcontrib><creatorcontrib>Câmara, José S.</creatorcontrib><title>Application of Quality-by-Design Approach in the Analytical Method Development for Quantification of Sugars in Sugarcane Honey by Reversed-Phase Liquid Chromatography</title><title>Food analytical methods</title><addtitle>Food Anal. Methods</addtitle><description>Produced in Madeira Island from regional sugarcane cultivars through a traditional manufacturing and storage process, sugarcane honey (SCH) is a black syrup recognized by its excellent quality. Its economic value has led to the emergence of adulterated SCH, whereby the identification of molecular markers became an essential task in order to overcome the fraudulent activities, protect its authenticity, and guarantee the consumer safety. In the present study, an analytical strategy based on ultrasound-assisted liquid-liquid extraction (USA-LLE) followed by reversed-phase liquid chromatography with a refractive index detector (LC-RI) was developed for the determination of sugars (glucose, fructose, sucrose, xylose, and mannose) in SCH samples from certified producers, supported on analytical quality-by-design (AQbD) approach, as a useful tool to establish its typicality. The application of AQbD was based on analytical risk assessment, multivariate statistics and quality control procedures for definition of the Method Operable Design Region (MODR). The optimal conditions into MODR were accomplished using BEH Amide column operating at a temperature of 80 °C and a flow rate of 300 μL min
−1
, with a mobile phase composed by acetone and water (85:15,
v v
−1
) at a flow rate of 1.0 mL min
−1
. The robustness was determined by Monte Carlo simulation and capability analysis. The concentration-response function for all sugars was described by polynomial models. Accuracy was presented by recovery values between 98.2 and 119.5%. The analytical figures of merit validated the utility of AQbD in the systematic design of a LC-RI method with fine sensitivity for sugar analysis in SCH.</description><subject>Acetone</subject><subject>Analytical Chemistry</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Chromatography</subject><subject>Computer simulation</subject><subject>Cultivars</subject><subject>Design</subject><subject>Design analysis</subject><subject>Economic conditions</subject><subject>Flow rates</subject><subject>Flow velocity</subject><subject>Food Science</subject><subject>Fructose</subject><subject>Honey</subject><subject>Liquid chromatography</subject><subject>Liquid-liquid extraction</subject><subject>Mannose</subject><subject>Mathematical analysis</subject><subject>Microbiology</subject><subject>Model accuracy</subject><subject>Monte Carlo simulation</subject><subject>Multivariate analysis</subject><subject>Polynomials</subject><subject>Quality control</subject><subject>Refractivity</subject><subject>Response functions</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Sucrose</subject><subject>Sugar</subject><subject>Sugarcane</subject><subject>Syrup</subject><subject>Ultrasound</subject><issn>1936-9751</issn><issn>1936-976X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc1q3DAUhU1JoJOkL9CVoGslkmxL9nKYtE1gQv5a6E7I8tVYg0dyJLngF8pzxpMpaVZZ3bM43weXk2VfKTmnhIiLSBnlFBNGMKGCCyw-ZQta5xzXgv85essl_ZydxLglhJOCskX2vByG3mqVrHfIG3Q_qt6mCTcTvoRoNw7NheCV7pB1KHWAlk71U5qRHt1A6nyLLuEv9H7YgUvI-LB3uGTNO-vjuFEh7g2vSSsH6Mo7mFAzoYcZDxFafNepCGhtn0bbolUX_E4lvwlq6Kaz7NioPsKXf_c0-_3j-6_VFV7f_rxeLddY5zVNuDKl0ZWmihLQjalFDrXJaVmoqipKXpoWmpYInTNuDGWiahjjZcO1UFC3TZ2fZt8O3vnnpxFikls_hvnjKFnB8pIXdSHmFju0dPAxBjByCHanwiQpkfs95GEPOe8hX_eQeyg_QHEuuw2E_-oPqBdcpZGS</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Silva, Pedro</creator><creator>Silva, Catarina L.</creator><creator>Perestrelo, Rosa</creator><creator>Nunes, Fernando M.</creator><creator>Câmara, José S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-3018-3165</orcidid><orcidid>https://orcid.org/0000-0003-1487-9346</orcidid><orcidid>https://orcid.org/0000-0001-5540-318X</orcidid><orcidid>https://orcid.org/0000-0003-1965-3151</orcidid><orcidid>https://orcid.org/0000-0002-7223-1022</orcidid></search><sort><creationdate>20200801</creationdate><title>Application of Quality-by-Design Approach in the Analytical Method Development for Quantification of Sugars in Sugarcane Honey by Reversed-Phase Liquid Chromatography</title><author>Silva, Pedro ; Silva, Catarina L. ; Perestrelo, Rosa ; Nunes, Fernando M. ; Câmara, José S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c391t-8f5fc8c1a10ecbf973e9f3154a884565fdebd07c326ff1278b2265b6c7ae9db93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acetone</topic><topic>Analytical Chemistry</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Chromatography</topic><topic>Computer simulation</topic><topic>Cultivars</topic><topic>Design</topic><topic>Design analysis</topic><topic>Economic conditions</topic><topic>Flow rates</topic><topic>Flow velocity</topic><topic>Food Science</topic><topic>Fructose</topic><topic>Honey</topic><topic>Liquid chromatography</topic><topic>Liquid-liquid extraction</topic><topic>Mannose</topic><topic>Mathematical analysis</topic><topic>Microbiology</topic><topic>Model accuracy</topic><topic>Monte Carlo simulation</topic><topic>Multivariate analysis</topic><topic>Polynomials</topic><topic>Quality control</topic><topic>Refractivity</topic><topic>Response functions</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Sucrose</topic><topic>Sugar</topic><topic>Sugarcane</topic><topic>Syrup</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, Pedro</creatorcontrib><creatorcontrib>Silva, Catarina L.</creatorcontrib><creatorcontrib>Perestrelo, Rosa</creatorcontrib><creatorcontrib>Nunes, Fernando M.</creatorcontrib><creatorcontrib>Câmara, José S.</creatorcontrib><collection>CrossRef</collection><jtitle>Food analytical methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva, Pedro</au><au>Silva, Catarina L.</au><au>Perestrelo, Rosa</au><au>Nunes, Fernando M.</au><au>Câmara, José S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Quality-by-Design Approach in the Analytical Method Development for Quantification of Sugars in Sugarcane Honey by Reversed-Phase Liquid Chromatography</atitle><jtitle>Food analytical methods</jtitle><stitle>Food Anal. Methods</stitle><date>2020-08-01</date><risdate>2020</risdate><volume>13</volume><issue>8</issue><spage>1634</spage><epage>1649</epage><pages>1634-1649</pages><issn>1936-9751</issn><eissn>1936-976X</eissn><abstract>Produced in Madeira Island from regional sugarcane cultivars through a traditional manufacturing and storage process, sugarcane honey (SCH) is a black syrup recognized by its excellent quality. Its economic value has led to the emergence of adulterated SCH, whereby the identification of molecular markers became an essential task in order to overcome the fraudulent activities, protect its authenticity, and guarantee the consumer safety. In the present study, an analytical strategy based on ultrasound-assisted liquid-liquid extraction (USA-LLE) followed by reversed-phase liquid chromatography with a refractive index detector (LC-RI) was developed for the determination of sugars (glucose, fructose, sucrose, xylose, and mannose) in SCH samples from certified producers, supported on analytical quality-by-design (AQbD) approach, as a useful tool to establish its typicality. The application of AQbD was based on analytical risk assessment, multivariate statistics and quality control procedures for definition of the Method Operable Design Region (MODR). The optimal conditions into MODR were accomplished using BEH Amide column operating at a temperature of 80 °C and a flow rate of 300 μL min
−1
, with a mobile phase composed by acetone and water (85:15,
v v
−1
) at a flow rate of 1.0 mL min
−1
. The robustness was determined by Monte Carlo simulation and capability analysis. The concentration-response function for all sugars was described by polynomial models. Accuracy was presented by recovery values between 98.2 and 119.5%. The analytical figures of merit validated the utility of AQbD in the systematic design of a LC-RI method with fine sensitivity for sugar analysis in SCH.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s12161-020-01767-7</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-3018-3165</orcidid><orcidid>https://orcid.org/0000-0003-1487-9346</orcidid><orcidid>https://orcid.org/0000-0001-5540-318X</orcidid><orcidid>https://orcid.org/0000-0003-1965-3151</orcidid><orcidid>https://orcid.org/0000-0002-7223-1022</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acetone Analytical Chemistry Chemistry Chemistry and Materials Science Chemistry/Food Science Chromatography Computer simulation Cultivars Design Design analysis Economic conditions Flow rates Flow velocity Food Science Fructose Honey Liquid chromatography Liquid-liquid extraction Mannose Mathematical analysis Microbiology Model accuracy Monte Carlo simulation Multivariate analysis Polynomials Quality control Refractivity Response functions Risk analysis Risk assessment Statistical analysis Statistical methods Sucrose Sugar Sugarcane Syrup Ultrasound |
title | Application of Quality-by-Design Approach in the Analytical Method Development for Quantification of Sugars in Sugarcane Honey by Reversed-Phase Liquid Chromatography |
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