Concentration composition and source of combined amino acids in PM2.5 in Nanchang city

ZHU Hui-xiao; ZHU Ren-guo; CHENG Li-qin; PAN Yuan-yuan; LU Cheng-shao; WU Zhi-hui; LI Jing-wen

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China Environmental Science ›› 2022, Vol. 42 ›› Issue (10) : 4509-4516.

Air Pollution Control

Concentration composition and source of combined amino acids in PM_2.5 in Nanchang city

ZHU Hui-xiao^1,2, ZHU Ren-guo^1,2, CHENG Li-qin^1,2, PAN Yuan-yuan^1,2, LU Cheng-shao¹, WU Zhi-hui¹, LI Jing-wen¹

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Abstract

Fine particulate matter (PM_2.5) and potential atmospheric amino acid emission sources (including plants and soil) samples were collected from the urban and forest areas of Nanchang city in spring. The concentration of combined amino acids (CAAs) and the nitrogen isotope of glycine (Gly) were analyzed. The results showed that the concentration of total CAAs ranged from 0.507 to 3.912 and from 0.497 to 2.647 nmol/m³ in the urban and forest areas, respectively. The composition profiles of CAAs in the urban and forest were similar. Among CAAs, Pro, Gly, Ala, Leu and His were the most abundant species in PM_2.5. The δ¹⁵N_C_-_Glyvalue in PM_2.5 collected in both the urban (ranged from+0.62‰ to +22.67‰) and forest (ranged from +1.99‰ to +23‰) sites exhibited a broad range in this study. According to the δ¹⁵N inventories of potential emission sources of atmospheric combined Gly, biomass burning, soil source and plant source were the main sources of combined Gly in this study. Furthermore, the results of the Bayesian Stable Isotope model showed the biomass burning, soil source and plant source average contributed 42%, 40% and 18% to the total CAAs in PM_2.5 in the urban and contributed 38%, 38% and 24% to the total CAAs in PM_2.5 in the forest site.

Key words

combined amino acids / PM_2.5 / source apportionment / δ¹⁵N_C_-Gly

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ZHU Hui-xiao, ZHU Ren-guo, CHENG Li-qin, PAN Yuan-yuan, LU Cheng-shao, WU Zhi-hui, LI Jing-wen. Concentration composition and source of combined amino acids in PM_2.5 in Nanchang city[J]. China Environmental Science. 2022, 42(10): 4509-4516

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