Rapid Limit Test of Eight Quinolone Residues in Food Based on TLC-SERS, a New Limit Test Method.

Residual quinolones in food that exceed their maximum residue limit (MRL) are harmful to human health. However, the existing methods used for testing these residues have limitations; so, we developed a new limit test method called TLC-SERS to rapidly determine the levels of residues of the following: enrofloxacin (A), ciprofloxacin (B), ofloxacin (C), fleroxacin (D), sparfloxacin (E), enoxacin (F), gatifloxacin (G), and nadifloxacin (H). The residues ware preliminarily separated via TLC. The tested compounds' position on a thin-layer plate were labeled using their relative Rf under 254 nm ultraviolet light, and an appropriate amount of nanometer silver solution was added to the position. The silver on the plate was irradiated with a 532 nm laser to obtain the SERSs of the compounds. The results show significant differences in the SERS of the eight quinolones: the LODs of H, A, D, E, C, G, F, and B were 9.0, 12.6, 8.9, 19.0, 8.0, 8.7, 19.0, and 12.6 ng/mL, respectively; and the RSD was ≤4.9% for the SERS of each quinolone. The limit test results of 20 samples are consistent with those obtained via UPLC-MS/MS. The results indicate that TLC-SERS is a specific, sensitive, stable, and accurate method, providing a new reference for the rapid limit test of harmful residues in foods.

Fertilizing-induced changes in the nitrifying microbiota associated with soil nitrification and crop yield.

Ammonia oxidizing archaea (AOA) and bacteria (AOB), nitrite-oxidizing bacteria (NOB), and comammox Nitrospira (CMX) play pivotal roles in global nitrogen-cycling network. Despite its importance, the driving forces for niche specialization of these nitrifiers, as well as their relative contributions to nitrification and crop yield have not been fully understood. Here, we investigated the niche specialization and environmental prevalence of nitrifying communities, and their importance for the nitrification rate and crop yield across a gradient of nitrogen inputs in a two-decade old field experiment. The results of 15N-tracer and quantitative PCR revealed that AOB and NOB jointly determined the gross nitrification rates across mineral fertilizer treatments, whereas AOA and AOB contributed more than other nitrifiers to nitrification under with organic fertilizer amendments. Linear regression model revealed that crop yield could be linked with AOB and NOB under inorganic farming but closely associated with CMX under organic management. Amplicon sequencing of these functional genes further demonstrated that mineral and organic fertilizers have distinct influences on the ß-diversity and niche breadth of these nitrifying communities, indicating that fertilization triggered niche specialization of nitrifying guilds in agricultural soils. Notably, organic fertilization enhanced the network complexity of these nitrifiers by harboring keystone taxa. Random forest analysis provide robustly evidence for the hypothesis that abundance of functional genes contributed more than a- and ß-diversity of these nitrifiers for driving nitrification rates and crop yields. Collectively, these findings provide the empirical evidence for the environmental adaptation and niche specialization of nitrifying communities, and their contributions in nitrification and crop yield when confronted with long-term nitrogen inputs.