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Analytical Science and Technology
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e-Submission

2021-10-01

October 2021, Vol.34, No.5

PubReader PDF Citation Liquid chromatography-tandem mass spectrometric analysis of oleracone D and its application to pharmacokinetic study in mice

Dong Yu Lim(College of Pharmacy, Dankook University) ; Tae Yeon Lee(College of Pharmacy, Dankook University) ; Jaehyeok Lee(Kyungpook National University) ; Im-Sook Song(Kyungpook National University) ; Young Taek Han(College of Pharmacy, Dankook University) ; Min-Koo Choi(College of Pharmacy, Dankook University) (pp.193-201)
https://doi.org/10.5806/AST.2021.34.5.193

PubReader PDF Citation Development of primary reference gas mixtures of 18 volatile organic compounds in hazardous air pollutants (5 nmol/mol level) and their analytical methods

Ji Hwan Kang(Korea Research Institute of Standards and Science, Chungnam National University) ; Yong Doo Kim(Korea Research Institute of Standards and Science) ; Jin-Hong Lee(Chungnam National University) ; (pp.202-211)
https://doi.org/10.5806/AST.2021.34.5.202

PubReader PDF Citation Method development and validation of spectrophotometric and RP-HPLC methods for simultaneous estimation of spironolactone and furosemide in bulk and combined tablet dosage forms

Rohankumar R. Chavan(Dept. of Pharmaceutical Chemistry, Bharati Vidyapeet College of Pharmacy) ; Somnath D. Bhinge(Dept. of Pharmaceutical Chemistry, Rajarambapu College of Pharmacy) ; Mangesh A. Bhutkar(Dept. of Pharmaceutics, Rajarambapu College of Pharmacy) ; Dheeraj S. Randive(Dept. of Pharmaceutics, Rajarambapu College of Pharmacy) ; Vijay R. Salunkhe(Dept. of Pharmacognosy, Rajarambapu College of Pharmacy) (pp.212-224)
https://doi.org/10.5806/AST.2021.34.5.212

PubReader PDF Citation Effectiveness of interference filter for photoluminescence observations: comparison with absorption filters

Wonyoung Lee(Graduate school of Forensic Science, Soonchunhyang University) ; Duke Kim(Altligh) ; Jeseol Yu(Graduate school of Forensic Science, Soonchunhyang University) (pp.225-230)
https://doi.org/10.5806/AST.2021.34.5.225

PubReader PDF Citation Application and evaluation of machine-learning model for fire accelerant classification from GC-MS data of fire residue

Chihyun Park(Daejeon District Office, National Forensic Service) ; Wooyong Park(Daejeon District Office, National Forensic Service) ; Sookyung Jeon(Daejeon District Office, National Forensic Service) ; Sumin Lee(Daejeon District Office, National Forensic Service) ; Joon-Bae Lee(Daegu District Office, National Forensic Service) (pp.231-239)
https://doi.org/10.5806/AST.2021.34.5.231

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