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In line with research indicating positive associations between well-being and personal and collective people-place bonding, and that collectivistic compared to individualistic commitment may have stronger associations with pro-environmental behavior, we investigated relationships between identity, well-being, and willingness to sacrifice (type of pro-environmental behavior) in personal and collective favorite places. A total of 884 respondents, living in three Swedish municipalities, participated in this study. In line with the hypotheses, we showed congruent positive relationships between place-related: (1) personal identity and personal well-being; (2) collective identity and collective well-being, (3) collective identity and collective willingness to sacrifice; and (4) an incongruent positive association between collective identity and personal willingness to sacrifice. Additionally, a significant role of well-being in mediating the identity → willingness to sacrifice relationship was reported, suggesting that our willingness to pay higher taxes and prices and to accept cuts in standard of living in order to protect our personal and collective favorite places might be accounted for partly by how we feel visiting these places., (Copyright © 2020 Knez, Eliasson and Gustavsson.)

The applicability of a beta-lactam receptor protein for detection of beta-lactam antibiotics in milk using surface plasmon resonance (SPR) biosensor technology was investigated. The advantage of using a receptor protein instead of antibodies for detection of beta-lactams is that a generic assay, specific for the active form of the beta-lactam structure, is obtained. Two assays based on the enzymatic activity of the DD-carboxypeptidase from Actinomadura R39 were developed, using a Biacore SPR biosensor. The carboxypeptidase converts a tri-peptide into a di-peptide, a reaction which is inhibited in the presence of beta-lactams. Polyclonal antibodies against the 2 peptides were developed and used to measure the amount of enzymatic product formed (di-peptide assay) or the amount of remaining enzymatic substrate (tri-peptide assay), respectively. The 2 assays showed similar performances with respect to detection limits (1.2 and 1.5 microg/kg, respectively) and precision (coefficient of variation <5%) for penicillin G in milk. Several other beta-lactams were detected at or near their respective maximum residue limit. Furthermore, the 2 peptide assays were evaluated against 5 commercial kit tests in the screening of 195 producer milk samples. The biosensor assays showed 0% false-negative and 27% false-positive results, whereas the figures were 0% false-negative and 27-53% false-positive results for other screening tests investigated.

Two surface plasmon resonance (SPR)-based biosensor assays for detection of beta-lactam antibiotics in milk are reported. The assays are based on the enzymatic activity of a carboxypeptidase converting a 3-peptide into a 2-peptide, a reaction that is inhibited in the presence of beta-lactams. Antibodies were used to measure either the amount of formed enzymatic product or the amount of remaining enzymatic substrate. Both assays detected different beta-lactams at or below European maximum residue limits (MRLs), and the detection limit for penicillin G was 1.2 microg/kg and 1.5 microg/kg for the 2- and 3-peptide assays, respectively. The precision (CV) was < 5%, both within and between assays at the penicillin G MRL (4 microg/kg). The biosensor results obtained upon analysis of incurred milk samples were compared with results obtained by liquid chromatography (HPLC), and the method agreements were, in general, good.

Two recently developed surface plasmon resonance biosensor assays for detection of beta-lactams in milk were used to screen raw producer milk samples. Both assays use a beta-lactam receptor protein with carboxypeptidase activity for detection. The results of the biosensor assays were compared with those of various commercial screening tests, i.e., the Delvotest SP, Penzym S, Beta-STAR, SNAP, and Parallux. The results of the 2 biosensor assays showed good agreement with those of the other screening tests. Of 195 analyzed milk samples, the results of only 5 samples differed between the assays. Additionally, 30 milk samples with both negative and positive results in the screening assays were analyzed by liquid chromatography for identification and quantification of any beta-lactam residues. All screening tests showed 0% false-negative results with 15 incurred samples containing between 4.0 and 268 microg/kg penicillin G. The biosensor assays showed 27% positive results (false violatives) with 15 producer milk samples containing penicillin G concentrations between 0 and 3.6 microg/kg, i.e., below maximum residue limit. This figure varied between 27 and 53% for the other screening tests.