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Phytosterol Profiles of Common Foods and Estimated Natural Intake of Different Structures and Forms in China.

Mengmeng WangWeisu HuangYinzhou HuLiangxiao ZhangYafang ShaoMeng WangFang ZhangZiyan ZhaoXiaohong MeiTao LiDonghui WangYing LiangJing LiYining HuangLiuquan ZhangTao XuHuaxin SongYongheng ZhongBaiyi Lu
Published in: Journal of agricultural and food chemistry (2018)
Phytosterols are well-known for their cholesterol-lowering effects, and the structures and forms of phytosterols affect their bioactivity. We aimed to illustrate the phytosterol profiles in common foods and estimate their natural intake in five geographical regions and among different age groups in China. In total, 12 phytosterols in free and esterified forms of 119 foods from five regions across China were examined using gas chromatography-mass spectrometry. Then, the dietary intake of phytosterols was calculated combined with the dietary foods intake data of Chinese people. The total phytosterol content was highest in vegetable oils (150.4-1230.9 mg/100 g), followed by legumes (129.6-275.6 mg/100 g), nuts (18.9-255.2 mg/100 g), and cereals (11.9-93.8 mg/100 g). Vegetables and fruits contained lower contents of total phytosterols. Phytosterols were mainly esterified in most common foods except in nuts. The predominant phytosterols were β-sitosterol, campesterol, and stigmasterol, all of which belonged to plant sterols and 4-desmethylsterols. Total phytosterol intake varied across different regions, ranging between 257.7 and 473.7 mg/standard-person (sp)/day, with the highest intake in Beijing, followed by Hangzhou, Wuhan, Chongqing, and Guangzhou. However, phytosterol proportion was similar across regions, with β-sitosterol accounting for 46.5-50.3% of the natural intake. Phytosterol intake was mainly constituted by plant sterols and 4-desmethylsterols in esterified form (61.9-74.6%). At the age of 2-70 years, phytosterol intake ranged from 154.3 mg/day to 348.0 mg/day in the national scale.
Keyphrases
  • weight gain
  • gas chromatography mass spectrometry
  • high resolution
  • air pollution
  • physical activity
  • quality improvement
  • risk assessment
  • climate change
  • particulate matter
  • artificial intelligence