The process of using NMR analyzer for molecular structure identification and verification can be applied to many real-world examples to enhance a student\u2018s learning experience. In these protocols, students are given the chance to apply NMR analyzer technology to evaluate samples many of them are probably very familiar with; coffee and milk.<\/p>\n
Students will be able to answer questions like \u201cIs there caffeine in my coffee?\u201d or \u201cAm I drinking lactose-free milk?\u201d The students will gain hands-on experience with some basics of NMR analyzer and how to apply this technology to a broad range of real-world examples. One unique aspect of this application is fraud detection. Students will learn the importance of discerning arabica from robusta coffee types and how that is impacting the coffee industry today.<\/p>\n
Coffee beans and milk are great examples to show students the importance of precise sample preparation to allow for optimum NMR analyzer results. For example, to differentiate arabica from robusta coffee beans by a specific marker (16-OMC), ground coffee samples need to go through a specific extraction process in order to sufficiently evaluate a liquid coffee sample. In contrast, milk samples can be analyzed as is to allow the analysis of fat and sugar content without the need to \u2018manipulate\u2019 the samples.<\/p>\n
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While the milk is simply poured into an NMR analyzer tube, the coffee samples need to follow a dedicated extraction protocol, which is explained step by step in the sections of the experiments the students will work with<\/p>\n
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1H NMR analyzer spectra of arabica (red) and robusta (blue) beans extracts can be easily differentiated via the robusta marker signal obtained from 16-OMC. In addition, caffeine can be quantified.<\/p>\n
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Left: The blue spectrum contains mainly 1H signal deriving from water due to missing solvent suppression. Middle: Solvent suppressed 1H NMR analyzer spectra of different milk samples. Here, the difference between a lactose- free (blue) and lactose-containing milk samples is easily observed in the solvent suppressed signal region. Right: Spectral region used to quantify the fat content in the different samples as indicated by the numbers.<\/p>\n
When working with samples in non-deuterated solvents, the predominant 1 H NMR analyzer signal derives from the solvent itself, which often superimposes with the usually much smaller signals of interest. In case of the milk samples, the question whether a milk sample contains lactose or not, can only be answered after suppressing the water signal with dedicated NMR analyzer methods, which are part of this practical training.<\/p>\n
These, as well as many other experiments, are included in the Fourier EduLab. In addition to detailed step by step protocols for students, we deliver an instructor\u2019s guide featuring<\/p>","protected":false},"excerpt":{"rendered":"
The process of using NMR analyzer for molecular structure identification and verification can be applied to many real-world examples to enhance a student\u2018s learning experience. In these protocols, students are given the chance to apply NMR analyzer technology to evaluate samples many of them are probably very familiar with; coffee and milk. Students will be able to answer questions like \u201cIs […]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[236],"tags":[],"yoast_head":"\n