Handbook of Herbs and Spices - Volume 3

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Controlling pesticide and other residues in herbs and spices 47


(which do not fluoresce appreciably). For compounds having photo-ionisable functional


groups, the photoconductivity detector is especially advantageous over UV detectors.


It has been well studied and used by FDA and other laboratories for residue analysis.


The electrochemical detector is also under study for its potential to improve detection


of electro active functional groups.


The thin layer chromatography (TLC) technique is based on partitioning a pesticide


between a solvent and a thin layer of adsorbent, which is usually silica or alumina


oxide that has been physically bonded to a glass or plastic plate. Samples are applied,


dissolved in a solvent, as spots or bands at one edge of the plate and the plate is then


placed in a tank containing a solvent. The solvent migrates up the plate by capillary


action, taking the pesticide with it, and depositing it at a given distance on the plate.


The time required for TLC plate development ranges from a few minutes to several


hours depending on the pesticide, the solvent, and the adsorbent. Following complete


development, the plate is removed from the tank and the spots or bands left by the


migration of the solvent are detected using any one of several techniques available


such as visualisation under UV light, using reagents to produce colours resulting


from chemical reaction specific for the pesticide/reagent combination. Amounts of


pesticide can be judged semi-quantitatively by comparison with standards that are


developed on the same plate as the unknowns. As a separator technique, TLC is much


less efficient than either GC or HPLC because the resolution separated by TLC is


approximately less than one-tenth of that found using a packed GC column to produce


the same separation. Consequently, TLC as a separator technique has largely been


replaced by GC and HPLC. On the other hand, interest exists in using TLCS to


develop rapid, semi-quantitative methods.


For regulatory agencies like the FDA and the FSIS, the monitoring methods must


provide results in a cost-effective, timely, reliable, and verifiable manner. These


methods should also identify as many pesticides as possible in a range of food


commodities because these agencies are responsible for monitoring all foods for all


pesticides to keep the products containing higher levels from reaching the market.


Analytical methods must also be able to detect pesticides at or below tolerance


levels, and endure interfering compounds such as other pesticides, drugs, and naturally


occurring chemicals. They should be insensitive to such environmental variations as


humidity, temperature and solvent purity as well. There are different classes of methods


that are used by the regulatory bodies, each method selected based on the need of the


monitoring, type of sample, and sensitivity required. They are multi residue, single


residue and semi-quantitative methods.


Multi-residue methods (MRMs) are designed to identify a broad spectrum of


pesticides and their toxicologically significant metabolites simultaneously in a range


of foods, and mostly meet the method needs of regulatory agencies. They are sensitive,


precise, and accurate enough, and are economical or affordable. In addition, an MRM


may detect, but not measure, a particular pesticide or metabolite, and also record the


presence of unidentified chemicals, known as an unidentified analytical response


(UAR). MRMs involve steps of preparation, extraction, cleanup, chromatographic


separation, and detection. All MRMs used today in the USA are based upon either


gas chromatography (GC) or high-performance liquid chromatography (HPLC) as


the determinative step, while thin layer chromatography (TLC) is also used by several


agencies in Europe. The basic weakness of MRMs is that they cannot detect every


pesticide. For example, of the 316 pesticides with tolerances, only 163 could be


analysed with FDA’s five routinely used MRMs. Another weakness is that some

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