Biol. samples play essential roles in biomedical studies, especially in "-omics" analyses. Recently, researchers have found that preanal. effects and storage duration have direct effects on mol. biol.-based procedures. The lack of guidelines for the collection, transport, and storage of samples could lead to the degradation of target mols. such as DNA, RNA, and proteins. These may also lead to inaccurate results in research laboratories Therefore, sample quality should be assessed at the nucleic acid, metabolite, and protein levels depending on sample components, research objectives, and detection technologies. This review describes the specific biomarkers and proper tools for monitoring the quality of human blood in clin. laboratories Genomic DNA(g DNA), mRNA(m RNA), cell-free DNA(cf DNA), and small noncoding RNA(mi RNA)are the main nucleic-acid components of blood samples used in research. This review summarizes the techniques used for the purification, yield anal., and integrity anal. of g DNA and total RNA, including UV spectrophotometric anal., qubit fluorometric quantification, and agarose gel electrophoresis. The internal reference genes used in cf DNA and mi RNA quality control are also listed. Quant. real-time polymerase chain reaction anal. of reference genes is commonly conducted, and the results reflect the quantity and fragment integrity of cf DNA and mi RNA. However, no effective markers have been used for m RNA quality control. Therefore, the development of effective biomarkers is required for quantifying m RNA and small RNA mols. Moreover, effective markers can be used for detecting changes in m RNA expression levels in vitro. Regarding metabolism, NMR(NMR) spectroscopy is the most common anal. method for the study of small metabolic mols. in blood. Matching between the available NMR data and reference databases can be applied to assess significant changes in metabolites and to evaluate blood sample quality. In addition, both metabolites and proteins can be quantified through mass spectrometry(MS). Typically, they are first enriched through affinity interactions(e.g., chromatog., immunoaffinity, and magnetic approaches) and then quantified through MS. This review summarizes the metabolites, proteins, and peptides identified by MS as biomarkers for blood quality control. However, their accuracy and effectiveness have not been widely recognized. Because various techniques have been used and a series of markers have been identified, the stability and accuracy of these mols. still need to be verified for quality control. Moreover, due to the high cost of MS, these techniques are not widely used in laboratories Therefore, in the future, new quality control parameters should be identified for blood sample assessment.