
Abstract Since its inception in 1995, solvent-microextraction (SME) techniques for sample preparation have grown increasingly popular due to their simplicity, low cost, and adaptability to a wide variety of sample types and analytes. SME methods are used alone or as final clean-up and concentration techniques in preparing environmental, clinical, forensic, personal-care, pharmaceutical and food-product samples. There are two broad categories of SME: exposed-solvent and membrane-protected solvent techniques. The principal exposed-drop techniques include single-drop microextraction (SDME), headspace single-drop microextraction (HS-SDME), liquid-liquid microextraction (LLME), liquid-liquid-liquid microextraction (LLLME) and dispersive liquid-liquid microextraction (DLLME). The principal membrane-protected modes are hollow-fiber-protected 2-phase microextraction [HF(2)ME] and hollow-fiber-protected 3-phase microextraction [HF(3)ME]. In recent years, interest in SME has increasingly turned to refinements of these modes for use in practical sample preparations. This has involved innovations (e.g., ionic liquids, ultrasonic-assisted emulsification, automation, and low-density solvents for DLLME). In this review, we explore these and other SME innovations appearing in the literature in the period from mid-2010 to mid-2012.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 196 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
