000			03806nam a2200349 a 4500
005			20250918232859.0
008			140129s2012 flua b 001 0 eng
020			_a9781439875254 (hbk) _cRM669.29
020			_a1439875251 (hbk)
039		9	_a201406090941 _batika _c201406061120 _datika _c201405271511 _dzabidah _y01-29-2014 _zmazarita
040			_aDLC _beng _cDLC _dYDX _dBTCTA _dYDXCP _dBWX _dOCLCO _dUKMGB _dCDX _dDEBBG _dOCLCF _dUKM
090			_aQD96.I5W675 2012
090			_aQD96.I5 _bW675 2012
100	1		_aWorkman, Jerry.
245	1	0	_aPractical guide and spectral atlas for interpretive near-infrared spectroscopy / _cJerry Workman, Lois Weyer.
250			_a2nd ed.
260			_aBoca Raton, FL. : _bCRC Press, _c2012.
300			_axvi, 309 p. : _bill. (some col.) ; _c29 cm.
504			_aIncludes bibliographical references and indexes.
520			_a'Interpretive spectroscopy provides a basis for the establishment of cause-and-effect relationships between spectrometer response and the chemical properties of the samples. Without established cause-effect relationships, the measured data will have no true predictive significance. This interpretive process is key for achieving an analytical understanding of the measurement. The popular first edition of this text delivered a unique focus on structure correlation and interpretation of spectra for the practitioner. The thoroughly updated and revised second edition expands on this by offering a full library of four color spectra in a larger format to ensure clarity and reader comprehension'-- _cProvided by publisher.
520			_a'Preface In this second edition of The Practical Guide and Spectral Atlas for Interpretive Near- Infrared Spectroscopy, we have endeavored to expand and update the chapters, and to produce the figures in a more dramatic spectral atlas format, that is, in a four-color, 81/2 x 11 book. The color and larger graphical presentation provides richer, more detailed spectra than the first edition. This revised atlas also includes new research, editorials, supplements, and molecular structural formulas (Appendix H), including updated references and information on near-infrared (NIR) spectra. Qualitative and quantitative NIR spectroscopic methods require the application of multivariate calibration algorithms commonly referred to as chemometric methods to model spectral response to chemical or physical properties of a calibration, teaching, or learning sample set. The identification of unique wavelength regions where changes in the response of the NIR spectrometer are proportional to changes in the concentration of chemical components, or in the physical characteristics of samples under analysis, is required for a scientific understanding of cause (i.e., molecular or physical properties) and effect (i.e., spectroscopic changes), even for routine method development. The first step to developing an analytical method using NIR is to measure a spectrum of the sample using an NIR spectrophotometer. It is helpful to note that the NIR spectrum obtained by using a spectrophotometer is the result of the convolution of the measuring instrument function with the unique optical and chemical characteristics of the sample measured. The sample participates as an optical element in the spectrometer'-- _cProvided by publisher.
650		0	_aNear infrared spectroscopy.
700	1		_aWeyer, Lois.
907			_a.b15814956 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQD96.I5W675 2012
914			_avtls003549759
990			_anab
991			_aFakulti Sains dan Teknologi
998			_at _b2014-03-01 _cm _da _feng _gflu _y0 _z.b15814956
999			_c561598 _d561598