کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1179455 1491546 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An effective two-stage spectral library search approach based on lifting wavelet decomposition for complicated mass spectra
ترجمه فارسی عنوان
یک رویکرد جستجو در کتابخانه طیفی دو مرحلهای موثر بر اساس تجزیه موجک بلند برای طیفهای جزیی پیچیده
کلمات کلیدی
جستجوی کتابخانه طیفی، شباهت جستجو شناسایی ترکیب، تجزیه موجک بلند، طیف سنج جرمی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• A two-stage library search method is proposed for matching complicated spectra.
• The number of reference spectra is effectively compressed in pre-search stage.
• Search accuracy is obviously improved under conditions of poor spectral quality.
• A self-adaptive method is used to confirm the level of decomposition.

For rapid and accurate matching of complicated spectra in a standard spectral library with different instruments in various environments, a two-stage spectral library search approach that involves preliminary and main searches based on lifting wavelet decomposition was proposed. In the preliminary search stage, similar spectra were effectively extracted and the number of reference spectra was greatly reduced by using the low frequency component (outlines) of lifting wavelet decomposition to calculate spectral similarity. In the main search stage, search accuracy was improved by using the high-frequency component (details) of lifting wavelet decomposition to calculate spectral similarity. In addition, a self-adaptive method used to confirm the level of lifting wavelet decomposition according to the resolution (half-peak width) of the mass spectrometer was also presented. More than 100 sets of mass spectra as well as measured data of octafluoronaphthalene (OFN) samples analyzed by our instrument were used to compare the proposed method with common methods such as the weighted dot product similarity (WC), weighted dot product composite similarity (WRstC), and wavelet transform (WT) methods in terms of similarity, accuracy, and search time. Relative to the WRstC method, the average improvement of similarity for the proposed method was 15.1%. The results indicate that the proposed method improves the similarity and accuracy of spectral recognition for complicated mass spectra, particularly under conditions of poor spectral quality, owing to the low signal-to-noise ratio at low sample concentrations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 132, 15 March 2014, Pages 75–81
نویسندگان
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