Volatile compounds were collected by the dynamic headspace techniques according to the method of Raguso and Pellmyr44 . The volatiles were trapped in a glass tube which contained 20 mg of 80/100 mesh Porapak Q adsorbent (Sigma, USA). For the pots and field experiments, volatiles collection was done on the third day and the second day after the treatment, respectively. Before the volatiles collection, two same size mechanical injury wounds were sheared on edges of the first and the second fully expanded leaves respectively with autoclaved scissors avoiding of damage to the leaf vein. The collection began immediately after wounding and lasted for 30 min in triplicates. After each collection, the trapped volatiles were eluted using 300 μl methylene dichloride, and then 400 ng of tetrahydronaphthalene was added as an internal standard. Fresh weights of the tested tea leaves was separately weighed after the volatile collection.
Porapak q adsorbent
Manufactured by Merck Group
Sourced in United States
Porapak Q is a highly porous polymer-based adsorbent material used in various laboratory applications. It is designed to effectively adsorb and separate a wide range of organic compounds. The core function of Porapak Q is to provide a reliable and efficient means for sample preparation and purification processes in analytical and research settings.
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Lab products found in correlation
3 protocols using porapak q adsorbent
1
Volatile Compound Collection from Wounded Tea Leaves
2
Headspace Volatile Collection of Adult Bungii Beetles
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Adult A. bungii were hand collected on the campus of the Nanjing Forestry University (32°04′46.95″N 118°48′47.40″E) in Nanjing, Jiangsu Province, China in 2014 and 2015, and stored in plastic cups until used in experiments. To collect headspace odours, charcoal-filtered air was pulled (30–500 ml/min) through stoppered 2 L glass flasks containing individual beetles for 24 h by portable vacuum pumps (Airlight, SKC Inc., Eighty-Four, PA, USA). The air outlets were fitted with volatiles traps made of Porapak Q adsorbent (200 mg; Sigma-Aldrich, St. Louis, MO, USA) secured in glass tubes by glass wool plugs. The Porapak Q was initially cleaned by Soxhlet extraction with dichloromethane, and traps were rinsed with dichloromethane before each use. Trapped volatiles were eluted from traps with dichloromethane (0.5 ml). In total, 23 aeration extracts were prepared from male beetles, and 7 extracts from females.
3
Volatile Profiling of Host Plants
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To examine whether there is a difference in volatile composition and determine which active compounds RWW adults might use to locate their preferred host plant, we collected and then identi ed volatiles from the two host plants. Dynamic headspace methods were used to collect the volatiles as described by Turlings et al. (1998) . Individual plants were bagged with polyethylene oven bags (406 × 444 mm; Reynolds, Richmond, VA, USA). Volatile collection lasted for 24 h and was replicated 10 times for each plant species. We also carried out the same procedure with empty oven bags (N = 10) to obtain negative controls. After collection, the volatiles were eluted from the adsorbent (80/100 mesh Porapak Q adsorbent, Sigma, USA) with 1.5 mL of dichloromethane (Sigma-Aldrich) for gas chromatography-mass spectrometry (GC-MS) analyses.
We conducted volatile analyses using a GC-MS system (GC-2010 Plus; Shimadzu Inc., Japan) equipped with a fused silica capillary column (Rxi-5 MS; Shimadzu Inc., Japan) according to Sun et al. (2019) . We used the NIST08 MS spectral library database to identify the plant volatiles. We obtained the percentage of each compound by integrating their peak areas. We con rmed the identities of the compounds using chromatographic comparisons with commercial standards (Sigma, USA). We used principal component analysis (PCA) to analyse these data.
We conducted volatile analyses using a GC-MS system (GC-2010 Plus; Shimadzu Inc., Japan) equipped with a fused silica capillary column (Rxi-5 MS; Shimadzu Inc., Japan) according to Sun et al. (2019) . We used the NIST08 MS spectral library database to identify the plant volatiles. We obtained the percentage of each compound by integrating their peak areas. We con rmed the identities of the compounds using chromatographic comparisons with commercial standards (Sigma, USA). We used principal component analysis (PCA) to analyse these data.
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