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Hunkapiller, Michael W.; And Others – Science, 1984
Describes the nature and capabilities of methods used to characterize protein and peptide structure, indicating that they have undergone changes which have improved the speed, reliability, and applicability of the process. Also indicates that high-performance liquid chromatography and gel electrophoresis have made purifying proteins and peptides a…
Descriptors: Biochemistry, Chemical Analysis, College Science, Enzymes
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Peterman, Keith E.; And Others – Journal of Chemical Education, 1989
A laboratory experiment designed as a model for studying enzyme activity with a basic spectrometer is presented. Included are background information, experimental procedures, and a discussion of probable results. Stressed is the value of the use of Nuclear Magnetic Resonance in biochemistry. (CW)
Descriptors: Biochemistry, Chemistry, College Science, Enzymes
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School Science Review, 1990
Included are 30 science activities that include computer monitoring, fieldwork, enzyme activity, pH, drugs, calorimeters, Raoult's Law, food content, solubility, electrochemistry, titration, physical properties of materials, gel filtration, energy, concepts in physics, and electricity. (KR)
Descriptors: Biochemistry, Biology, Chemistry, Computer Uses in Education
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Steehler, Jack K. – Journal of Chemical Education, 1990
Described are 14 experiments that use lasers. Topic areas include physical chemistry, analytical chemistry, organic chemistry, inorganic chemistry, and biochemistry. Instrumentation and the use of the laser in undergraduate research are discussed. (CW)
Descriptors: Biochemistry, Chemistry, College Science, Computer Interfaces
Peer reviewed Peer reviewed
Sharp, Robert L.; And Others – Analytical Chemistry, 1988
Discusses the use of robotics in the analytical chemistry laboratory. Suggests using a modular setup to best use robots and laboratory space. Proposes a sample preparation system which can perform aliquot measurement, dilution, mixing, separation, and sample transfer. Recognizes attributes and shortcomings. (ML)
Descriptors: Automation, Biochemistry, Chemistry, College Science