Conclusions – spell the identity of the chemical analyzed in the spectral data. You can use structural formula as well.
Posted: Mon May 02, 2022 7:57 pm
Conclusions – spell the identity of the chemical analyzed in the
spectral data. You can use structural formula as well. Here, from
every spectral sheet, list all the functional groups/chemical
characteristics you could identify.
NMR Sample A Sample A 10 C:\Bruker\TOVOPIN meadows 엔 N O 3.6 3.0 2.6 2.0 1.6 Ippm]
GCMS Sample A 1:10 dilution Class_A2_1018111 44 (4.967) Cm (44:66-118:134x5.000) 58.9801 100- TOF MS EN 1.8207 Sample A 55.9821 57.9958 80.8586 54.6750 40.9514 38.9321 52.9502 tort 40 50 02.9874 105.9078 106.9164 135,9905 116.8138 120.0463 123.9593 110 120 130 140 0990 miz ATT 150 82.9281 65,8041 60 70 0- 30 80 90 100
FTIR Sample A @SHIMADZU Sample A 90 %T 75 60 45- 30! 3750 4000 A2 3500 3250 3000 2760 2500 2250 2000 1750 1500 1250 1000 750 500 1/cm Comment; A2 No. of Sonnas; Resolution; Apodization; Date/Time: 3/2/2011 2:24:12 PM User; User
spectral data. You can use structural formula as well. Here, from
every spectral sheet, list all the functional groups/chemical
characteristics you could identify.
NMR Sample A Sample A 10 C:\Bruker\TOVOPIN meadows 엔 N O 3.6 3.0 2.6 2.0 1.6 Ippm]
GCMS Sample A 1:10 dilution Class_A2_1018111 44 (4.967) Cm (44:66-118:134x5.000) 58.9801 100- TOF MS EN 1.8207 Sample A 55.9821 57.9958 80.8586 54.6750 40.9514 38.9321 52.9502 tort 40 50 02.9874 105.9078 106.9164 135,9905 116.8138 120.0463 123.9593 110 120 130 140 0990 miz ATT 150 82.9281 65,8041 60 70 0- 30 80 90 100
FTIR Sample A @SHIMADZU Sample A 90 %T 75 60 45- 30! 3750 4000 A2 3500 3250 3000 2760 2500 2250 2000 1750 1500 1250 1000 750 500 1/cm Comment; A2 No. of Sonnas; Resolution; Apodization; Date/Time: 3/2/2011 2:24:12 PM User; User