From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?

The determination of an optimal volatile sampling procedure is always a key question in analytical chemistry. In this paper, we introduce the application of a novel non-parametric statistical method, the sum of ranking differences (SRD), for the quick and efficient determination of optimal sampling...

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Autores principales:	Dalma Radványi, Magdolna Szelényi, Attila Gere, Béla Péter Molnár
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	adsorbent GC–MS lettuce sample throughput VOC Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/64fa423708e3410f8215ecc3a2d13e76
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id	oai:doaj.org-article:64fa423708e3410f8215ecc3a2d13e76
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spelling	oai:doaj.org-article:64fa423708e3410f8215ecc3a2d13e762021-11-25T17:34:10ZFrom Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?10.3390/foods101126812304-8158https://doaj.org/article/64fa423708e3410f8215ecc3a2d13e762021-11-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2681https://doaj.org/toc/2304-8158The determination of an optimal volatile sampling procedure is always a key question in analytical chemistry. In this paper, we introduce the application of a novel non-parametric statistical method, the sum of ranking differences (SRD), for the quick and efficient determination of optimal sampling procedures. Different types of adsorbents (Porapak Q, HayeSep Q, and Carbotrap) and sampling times (1, 2, 4, and 6 h) were used for volatile collections of lettuce (<i>Lactuca sativa</i>) samples. SRD identified 6 h samplings as the optimal procedure. However, 1 or 4 h sampling with HayeSep Q and 2 h sampling with Carbotrap are still efficient enough if the aim is to reduce sampling time. Based on our results, SRD provides a novel way to not only highlight an optimal sampling procedure but also decrease evaluation time.Dalma RadványiMagdolna SzelényiAttila GereBéla Péter MolnárMDPI AGarticleadsorbentGC–MSlettucesample throughputVOCChemical technologyTP1-1185ENFoods, Vol 10, Iss 2681, p 2681 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adsorbent GC–MS lettuce sample throughput VOC Chemical technology TP1-1185
spellingShingle	adsorbent GC–MS lettuce sample throughput VOC Chemical technology TP1-1185 Dalma Radványi Magdolna Szelényi Attila Gere Béla Péter Molnár From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
description	The determination of an optimal volatile sampling procedure is always a key question in analytical chemistry. In this paper, we introduce the application of a novel non-parametric statistical method, the sum of ranking differences (SRD), for the quick and efficient determination of optimal sampling procedures. Different types of adsorbents (Porapak Q, HayeSep Q, and Carbotrap) and sampling times (1, 2, 4, and 6 h) were used for volatile collections of lettuce (<i>Lactuca sativa</i>) samples. SRD identified 6 h samplings as the optimal procedure. However, 1 or 4 h sampling with HayeSep Q and 2 h sampling with Carbotrap are still efficient enough if the aim is to reduce sampling time. Based on our results, SRD provides a novel way to not only highlight an optimal sampling procedure but also decrease evaluation time.
format	article
author	Dalma Radványi Magdolna Szelényi Attila Gere Béla Péter Molnár
author_facet	Dalma Radványi Magdolna Szelényi Attila Gere Béla Péter Molnár
author_sort	Dalma Radványi
title	From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
title_short	From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
title_full	From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
title_fullStr	From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
title_full_unstemmed	From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?
title_sort	from sampling to analysis: how to achieve the best sample throughput via sampling optimization and relevant compound analysis using sum of ranking differences method?
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/64fa423708e3410f8215ecc3a2d13e76
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_version_	1718412226179629056

From Sampling to Analysis: How to Achieve the Best Sample Throughput via Sampling Optimization and Relevant Compound Analysis Using Sum of Ranking Differences Method?

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