Analysis of Serotonin in Human Feces Using Solid Phase Extraction and Column-Switching LC-MS/MS
-
- Hirabayashi Yukiko
- Research and Development Group, Hitachi, Ltd.
-
- Nakamura Kiminori
- Faculty of Advanced Life Science, Hokkaido University
-
- Sonehara Tsuyoshi
- Research and Development Group, Hitachi, Ltd.
-
- Suzuki Daisuke
- Research and Development Group, Hitachi, Ltd.
-
- Hanzawa Satoru
- Research and Development Group, Hitachi, Ltd.
-
- Shimizu Yu
- Graduate School of Life Science, Hokkaido University
-
- Aizawa Tomoyasu
- Faculty of Advanced Life Science, Hokkaido University
-
- Nakamura Koshi
- Faculty of Medicine, Hokkaido University Graduate School of Medicine, University of the Ryukyus
-
- Tamakoshi Akiko
- Faculty of Medicine, Hokkaido University
-
- Ayabe Tokiyoshi
- Faculty of Advanced Life Science, Hokkaido University
抄録
<p>Serotonin, an important neurotransmitter, is produced mainly in intestines, and serotonin levels in feces can be an indicator of the intestinal environment. Human feces, however, contain a large amount of contaminants, which vary widely owing to food contents and the intestinal environment, and these contaminants would be expected to interfere with the determination of serotonin levels in human feces. To remove these contaminants and determine serotonin levels, we developed a new method using solid phase extraction (SPE) and column-switching LC-MS/MS. Serotonin, labeled with a stable isotope, was added to human feces samples prior to SPE as an internal standard to correct for individual differences in matrix effects. The recovery rate for SPE was 55.9–81.0% (intraday) and 56.5–78.1% (interday) for feces from two subjects. We analyzed 220 fecal samples from 96 subjects including 76 pregnant and post-delivery women. The endogenous serotonin content per unit weight of dried feces was 0.09–14.13 ng/mg for pregnant and post-delivery women and 0.30–9.93 ng/mg for the remaining subjects.</p>
収録刊行物
-
- Mass Spectrometry
-
Mass Spectrometry 9 (1), A0081-A0081, 2020-03-31
一般社団法人 日本質量分析学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390846609819843200
-
- NII論文ID
- 130007823248
-
- ISSN
- 21865116
- 2187137X
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可