It has the advantage of sensitive and simultaneous multiple disease screening with minimal sample requirement.
Particle, powder and aerosol properties were assessed using analytical methods with minimal sample requirement, namely linear Raman spectroscopy, scanning electron microscopy, time-of-flight aerodynamic diameter measurements, and a new technique to determine compressed bulk density of the powder.
The minimal sample requirement for QTAP experiments is 50 μg protein.
The method is accurate and easy to use, allowing quick determination of molecular weights of proteins with minimal sample requirements.
PAGE is performed by then applying the dissolved peptide aliquots to precast 16% acrylamide gels (Novex™ Gels, Invitrogen, Carlsbad, CA), which are used because of their reproducibility and minimal sample requirements.
This technique provides a fast and reproducible alternative to conventional Southern blotting in the detection of loss of heterozygosity, with the crucial additional advantages of minimal sample requirements, making archival material available for genetic investigation.
This minimal sampling requirement allowed us to include bird species with limited number of tissue samples in the study.
In addition to the portability characteristics (low cost, low-power requirements, quick response, simplicity, robustness, and minimal sample size requirements), the proposed approach also allows the implementation of simple and effective strategies to prevent or minimize the gradual fouling of the electrode surface (common limitation of solid electrodes).
Reviews, case series, and case reports were excluded since they may not provide needed details for evaluation or do not fulfil our minimal sample size requirements.
Raman spectroscopy, an analytical technique used to study the vibrational modes in a material, is often employed to distinguish among polymorphs because of its short analysis times, minimal sample preparation requirements, and high sensitivity.
The minimal sample handling requirements of one-dimensional (1D) H NMR spectroscopy and the immense sensitivity of multivariate statistical methods such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) make NMR metabolic fingerprinting especially attainable.
