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Foods · 2023 ·Vol. 12 ·期 14 ·2656 · IF 5.2

Difference in Volatile Aroma Components of Stropharia rugosoannulata under Two Cultivated Environments Investigated by SPME-GC-MS

Yanbin Wang,Dan Wu,Yingqi Wu,Xiaoqing Tong,Yuchuan Qin,Liling Wang

In order to study the effect of both greenhouse and forest cultivating environments onStropharia rugosoannulata, its volatile aroma compounds were measured by a headspace solid phase micro extractions—gas chromatograph—mass spectrometer (SPME–GC–MS). The optimal adsorption temperature was 75 °C and the optimal adsorption time was 40 min. A total of 36 volatile aroma compounds were identified by GC–MS, including 8 aldehydes, 2 ketones, 4 alcohols, 15 alkenes, and 4 alkanes. Hexanal, 3-Octanone, 2-Undecanone, (E)-Nerolidol, and (Z)-β-Farnesene made great aromatic contributions. Among them, Hexanal, 3-Octanone, 2-Undecanone were the key aroma compounds for which odor activity values (OAVs) were more than 1. (E)-Nerolidol showed odor modification in the forest samples and showed a key aroma effect in greenhouse samples. (Z)-β-Farnesene showed odor modification in greenhouse samples. 3-Octanone was the largest contributing compound for which the OAV was more than 60. The total content of volatile aroma compounds first increased and then decreased with growth time; it reached the highest level at 48 h: 2203.7 ± 115.2 μg/kg for the forest environment and 4516.6 ± 228.5 μg/kg for the greenhouse environment. The aroma was the most abundant at this time. All samples opened their umbrella at 84 h and become inedible. Principal component analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal partial least squares discriminant analysis (OPLS–DA) were combined to analyze the aroma difference ofS. rugosoannulataunder two cultivation modes. PCA and HCA could effectively distinguish the aroma difference in different growth stages. Under different culturing methods, the aroma substances and their changes were different. The samples were divided into two groups for forest cultivation, while the samples were divided into three groups for greenhouse cultivation. At the end of growth, the aroma ofS. rugosoannulatawith the two cultivation modes was very similar. OPLS–DA clearly distinguished the differences between the two cultivation methods; 17 key aroma difference factors with variable importance projection (VIP) > 1 were obtained from SPLS–DA analysis.Keywords:Stropharia rugosoannulata;cultivation mode;volatile aroma compounds;mushroom;gas chromatography—mass spectrometry

研究领域: 食品科学 · 分析化学 · 真菌学
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CHINESE JOURNAL OF ANALYTICAL CHEMISTRY · 2022 · IF 1.193

Using ratiometric indicator-displacement-assay in semi-quantitative colorimetric determination of tetracyclines

Yan-Qi LI,Chang-Xin HUANGFU,Lan-Xiu NI,Liang FENG

In this work, a novel colorimetric sensor array based on ratiometric indicator-displacement assay has been developed for the recognition and semi-quantitative detection of tetracycline, oxytetracycline, chlortetracycline, and doxycycline. The sensor array was fabricated by various combinations of 5 indicators and 3 metal cations. Based on the difference of complex stability constant, the competitive binding between metal cations with tetracyclines and indicators resulted in different color recovery of indicators through indicator-displacement reaction. By adjusting the concentrations of metal cations, the discrimination of tetracyclines has been achieved on as-fabricated sensor array and the lowest concentration for discrimination of tetracyclines could be 1 μmol/L, which was similar to those sensor arrays based on fluorescent nanomaterials. Meanwhile, the color difference between tetracyclines has been further enlarged by color overlaying of complexes of tetracyclines and metal cations, which enriched the distinguish capability of the sensor array and promised the discrimination ability for tetracyclines with various concentrations. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) demonstrated that the colorimetric sensor array has an excellent capability to discriminate tetracyclines at different concentrations from potential interferants. The detection range for tetracyclines was 1–50 μmol/L and the limit of recognition for tetracyclines was 1 μmol/L with the colorimetric sensor array. Finally, this colorimetric sensor array was successfully applied for tetracyclines differentiation in real samples.

研究领域: 分析化学 · 传感器技术 · 药物分析 · 比色测定
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