Simultaneous development of both competitive and noncompetitive immunoassays for 2,2',4,4'-tetrabromodiphenyl ether using phage-displayed peptides.

Twenty-five phages that selectively bind to a monoclonal antibody (Mab) 1H2 specific to 2,2',4,4'-tetrabromodiphenyl ether (BDE47) in the absence or presence of BDE47 have been selected from phage-display libraries containing cyclic 7-mer, linear 7-mer, and linear 12-mer randomized peptides. Competitive and noncompetitive enzyme-linked immunosorbent assays (ELISA) for BDE47 were developed by using a clone C7-1 specific to the BDE47-free Mab 1H2 and a clone XC7-8 specific to the BDE47-bound Mab 1H2, respectively. The half-maximum signal inhibition concentration (IC50) of the competitive phage ELISA and the half-maximum signal enhancement concentration (EC50) of the noncompetitive phage ELISA for BDE47 were 6.8 ng mL(-1) and 4.2 ng mL(-1), respectively. The noncompetitive phage ELISA showed higher cross-reactivity with BDE28, BDE99, and BDE100 than the competitive one, ranging between 1.3 and 6.5 % versus 0.3 and 0.8 %. Recoveries of the competitive and the noncompetitive phage ELISAs for BDE47 in sewage sludge and fillet samples were 96-124 % and 97-120 %, respectively. The results of the two types of phage ELISAs for BDE47 in the real-world samples agreed well with a gas chromatography/electron capture detector-ion trap mass spectrometer method.

Wearable Crop Sensor Based on Nano-Graphene Oxide for Noninvasive Real-Time Monitoring of Plant Water.

Real-time noninvasive monitoring of crop water information is an important basis for water-saving irrigation and precise management. Nano-electronic technology has the potential to enable smart plant sensors to communicate with electronic devices and promote the automatic and accurate distribution of water, fertilizer, and medicine to improve crop productivity. In this work, we present a new flexible graphene oxide (GO)-based noninvasive crop water sensor with high sensitivity, fast responsibility and good bio-interface compatibility. The humidity monitoring sensitivity of the sensor reached 7945 Ω/% RH, and the response time was 20.3 s. We first present the correlation monitoring of crop physiological characteristics by using flexible wearable sensors and photosynthesis systems, and have studied the response and synergistic effect of net photosynthetic rate and transpiration rate of maize plants under different light environments. Results show that in situ real-time sensing of plant transpiration was realized, and the internal water transportation within plants could be monitored dynamically. The synergistic effect of net photosynthetic rate and transpiration of maize plants can be jointly tested. This study provides a new technical method to carry out quantitative monitoring of crop water in the entire life cycle and build smart irrigation systems. Moreover, it holds great potential in studying individual plant biology and could provide basic support to carry out precise monitoring of crop physiological information.