Advances in Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches (Record no. 43994)

MARC details
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fixed length control field 04185nam a2200313Ia 4500
000 - LEADER
fixed length control field 06783naaa 01117uu
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/68955
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211222133746.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039367863
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03936-787-0
042 ## - AUTHENTICATION CODE
Authentication code dc
245 #0 - TITLE STATEMENT
Title Advances in Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Basel, Switzerland
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (224 p.)
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. In the field of Analytical Chemistry and, in particular, whenever a quali-quantitative analysis is required, until a few years ago, reference was made exclusively to instrumental methods (more or less hyphenated) which, once validated, were able to provide the answers to the questions present, even if only in a limited way to analytical targets. Nowadays, the landscape has become considerably complicated (natural adulterants, assessment of geographical origin, sophistication, need for non-destructive analysis, search for often unknown compounds), and new procedures for processing data have greatly increased the potential of analyses that are conducted (even routinely) in the laboratory. In this scenario, chemometrics is master, able to manage and process a huge amount of information based both on data relating only to the analytes of interest, but also by applying general procedures to process raw untargeted analysis data. It is within this strand of analysis that many of the works reported in this Special Issue fall. In the succession of works in this printed version, the criterion that guided us was to highlight how's 2014;starting exclusively from chromatographic techniques (HPLC and GC) with conventional detectors and moving to exclusively spectroscopic techniques (MS, FT-IR and Raman)'s 2014;it is possible arrive at extremely powerful coupled techniques and procedures (HPLC and FT-IR) able to meet research needs. Finally, at the end of the printed volume, there are two reviews that surveying the state of the art regarding the assessment of authenticity through qualitative analyses and the application of chemometrics in the pharmaceutical field in the study of forced drug degradation products. From the succession of works (and, above all, from the various application fields) it can immediately be seen how the application of chemometrics and its procedures to both raw and processed data is a powerful means of obtaining robust, reproducible, and predictive information. In this manner, it is possible to create models able to explain and respond to the original problem in a much more detailed way. , and Honghe through Fourier transform mid infrared (FT-MIR) spectra combined with partial least squares discriminant analysis (PLS-DA), random forest (RF), and hierarchical cluster analysis (HCA) methods. Melucci and collaborators apply chemometric approaches to non-destructive analysis of ATR-FT-IR for the determination of biosilica content. This value was directly evaluated in sediment samples, without any chemical alteration, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, and the quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Still in the food and food supplements field, Anguebes-Franseschi and collaborators report an article where 10 chemometric models based on Raman spectroscopy were applied to predict the physicochemical properties of honey produced in the state of Campeche, Mexico.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Paris polyphylla Smith var. yunnanensis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kabir, Abuzar
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Locatelli, Marcello
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Melucci, Dora
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Samanidou, Victoria
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tartaglia, Angela
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/68955">https://directory.doabooks.org/handle/20.500.12854/68955</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/2723">https://mdpi.com/books/pdfview/book/2723</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="www.oapen.org">www.oapen.org</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

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