Miniaturized analytical method to evaluate the profile of biogenic volatile organic compounds from Spanish tree species by gas chromatography coupled to mass spectrometry and chemometric tools

IF 3.2
Adrián Fuente-Ballesteros, Ana M. Ares, José Bernal, Silvia Valverde
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引用次数: 0

Abstract

A novel miniaturized analytical method has been optimized to study the biogenic volatile organic compounds (BVOCs) profile from tree leaves using headspace solid-phase microextraction gas chromatography-quadrupole time-of-flight spectrometry (HS-SPME-GC-QTOF-MS). Several parameters were tested, and a 50/30 µm DVB/CAR/PDMS SPME fiber, 0.20 g of sample, extraction and desorption times of 45 and 3 mins, respectively, were selected as the optimal conditions. Subsequently, 42 samples from Ávila (Spain) were evaluated including conifers (Pinus sylvestris and Juniperus oxycedrus) and broadleaf species (Quercus ilex and Quercus pyrenaica). More than 100 different BVOCs were tentatively identified with a matching degree >85 % in the NIST library. Total compounds were categorized into 12 main groups, where sesquiterpenoids, hydrocarbons, and alcohols were the dominant family groups. Moreover, a variety of chemometric tools were applied to enable data differentiation and potential classification of samples. Principal component analysis revealed that the BVOCs produced by different tree species exhibit distinct profiles, forming three well-defined clusters, while hierarchical cluster analysis indicated that the composition is influenced by the season, and sampling height. Finally, the method was classified as environmentally friendly according to the green analytical metrics and evaluated as practical by the blue applicability grade index.

Abstract Image

用气相色谱-质谱联用和化学计量工具评价西班牙树种生物源性挥发性有机物的小型化分析方法
采用顶空固相微萃取气相色谱-四极杆飞行时间谱法(HS-SPME-GC-QTOF-MS)对树叶中生物源性挥发性有机物(BVOCs)进行了分析。对多个参数进行了测试,选择50/30µm DVB/CAR/PDMS SPME纤维,0.20 g样品,提取和解吸时间分别为45和3 min为最佳条件。随后,对来自Ávila (Spain)的42个样本进行了评价,包括针叶树(Pinus sylvestris和Juniperus oxycedrus)和阔叶树种(Quercus ilex和Quercus pyrenaica)。在NIST库中初步确定了100多种不同的BVOCs,匹配度为85%。总化合物分为12个主要类群,其中倍半萜类、烃类和醇类是主要的家族类。此外,还应用了各种化学计量学工具来实现数据区分和样品的潜在分类。主成分分析表明,不同树种产生的BVOCs具有明显的分布特征,形成了3个明确的聚类;层次聚类分析表明,不同树种产生的BVOCs的组成受季节和采样高度的影响。最后,根据绿色分析指标对该方法进行了环境友好分类,并通过蓝色适用性等级指数对该方法进行了实用性评价。
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来源期刊
Journal of chromatography open
Journal of chromatography open Analytical Chemistry
CiteScore
2.50
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50 days
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