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A dual-signal sensor array for highly sensitive identification of biothiols is reported based on different optical responses of MnO2/curcumin (CUR) system to different biothiols. The addition of MnO2 nanosheets (MnO2 NSs) quenches the fluorescence of CUR, and the color of the mixture changes from yellow to brown. In the presence of reductive biothiols, MnO2 NSs are etched and lose their fluorescence quenching ability, resulting in an increase in the fluorescence intensity of CUR at 540 nm and a decrease in the absorbance at 430 nm. The sensor array generates specific response modes based on the varying reduction abilities of different biothiols, which can be distinguished by linear discriminant analysis (LDA). The sensor array successfully distinguished five biothiols (glutathione (GSH), dithiothreitol (DTT), cysteine (Cys), mercaptoethanol (ME), and homocysteine (Hcy)) across a wide concentration range (1 μM-100 μM) and biothiol mixtures with varing molar ratios. [ABSTRACT FROM AUTHOR]

Peroxides in edible oils, whose amounts are measured using the peroxide value, are closely related to human health. Long-term consumption of edible oils with high peroxide values can lead to a variety of human diseases, which highlights the significance of examining oil types and their corresponding peroxide values. For identifying a wide range of edible oils, we established a colorimetric sensor array based on the halogen ion exchange between CsPbBr3 and two iodides (octadecylammonium iodide (ODAI) and ZnI2). Different kinds of edible oils contain distinct peroxidic substances that have the distinct ability to oxidize iodides. After specific types of edible oils react with excess iodides (ODAI and ZnI2), different amounts of residual iodides are left for further halogen exchange with CsPbBr3, resulting in various colorimetric responses, measured in RGB (red/green/blue) values, under fluorescent light. Based on RGB pattern analysis as fingerprints using two anion exchangers (ODAI and ZnI2), our proposed colorimetric sensor array was proved by linear discriminant analysis (LDA) to have an ability to accurately distinguish edible oils at a minimal volumetric concentration of 6.67% in seven real samples. [ABSTRACT FROM AUTHOR]

An effective and robust colorimetric sensor array for simultaneous detection and discrimination of five reducing sugars (i.e., glyceraldehyde (Gly), fructose (Fru), glucose (Glu), maltose (Mal), and ribose (Rib)) has been proposed. In the sensor array, two negatively charged polydielectrics (sodium polystyrenesulfonate (NaPSS) and sodium polymethacrylate (NaPMAA)), which served as the sensing elements, were individually absorbed on the surface of the cetyltrimethylammonium bromide (CTAB)-coated gold nanorods (AuNR) with positive charges through electrostatic action, forming the designed sensor units (NaPSS-AuNR and NaPMAA-AuNR). In the presence of Tollens reagent (Ag(NH3)2OH), Ag+ was absorbed on the surface of negatively charged NaPSS-AuNR and NaPMAA-AuNRs. When confronted with differential reducing sugars, different reducing sugars exhibited differential levels of deoxidizing abilities toward Ag+, thus Ag+ was reduced to diverse amounts of silver nanoparticles (AgNPs) in situ to form core-shell AuNR@AgNP by the traditional Tollens reaction method, leading to distinct colorimetric response patterns (value of AS/AL (the ratio of absorbance at 360 nm to that at 760 nm in Ag+-NaPMAA-AuNR, and the ratio of absorbance at 360 nm to that at 740 nm in Ag+-NaPSS-AuNR)). These response patterns are characteristic for each reducing sugar, and can be quantitatively distinguished by linear discriminant analysis (LDA) at concentrations as low as 10 nM with relative standard deviation (RSD) of 4.11% (n = 3). The practicability of this sensor array has been validated by recognition of reducing sugars in serum and urine samples. [ABSTRACT FROM AUTHOR]

A colorimetric sensing method is described for discrimination of multiple antioxidants based on core-shell Au@Ag nanocubes (NCs). In order to extract data-rich colorimetric responses from the sensor array, three different concentrations of chloroaurate acid (HAuCl4) were employed as sensing elements. Interestingly, Au3+ ions can be reduced to different valence states (i.e., Au(0) and Au(I)) by different antioxidants, and thus effectively inhibit the oxidation etching process of Au@Ag NCs by Au(III) ions to varying extents, generating diverse colorimetric responses (color and absorbance). This enables identification of the six antioxidants at 10 nM via linear discriminant analysis (LDA) with relative standard deviation (RSD) of 2.52% (n = 3). The discrimination ability of the sensor array was further evaluated in antioxidant binary and multicomponent mixtures. Remarkably, identification of these six antioxidants spiked in urine was realized with 100% of accuracy. [ABSTRACT FROM AUTHOR]

Here, we report a simple but effective nose/tongue-mimic sensor array based on HAuCl4/3,3′,5,5′-tetramethylbenzidine (TMB) for colorimetric discrimination and determination of antioxidants. Two concentrations of HAuCl4 were employed as receptor units to construct the colorimetric sensor array. The sensing strategy is based on the fact that HAuCl4 with different concentrations (0.08 and 0.03 mM) could oxidize TMB to oxidized TMB (oxTMB), resulting in a blue and green color solution, respectively, corresponding to an absorption peak centered at 440 nm and 657 nm. However, the presence of different antioxidants could cause the reduction in HAuCl4, leading to the fading of the blue and green color and the decrease in the absorbance at 440 nm and 657 nm to varying degrees. Based on the above phenomena, by taking advantage of linear discriminant analysis (LDA), five antioxidants (i.e. ascorbic acid (AA), melatonin (MT), uric acid (UA), tannic acid (TCA), and glycine (Gly)) at five concentrations (200, 120, 60, 20, and 1 nM) were successfully discriminated both in buffer and serum. More importantly, this approach is simple, fast, and without the use of any nanomaterials. [ABSTRACT FROM AUTHOR]

We report a colorimetric array, which consists of two carboxylic acids (quinolinic acid (QA), tannic acid (TCA)) as the sensor element and Eriochrome Black T (EBT) as the colorimetric signal readout. The assay is based on coordination binding between lanthanide ions and EBT, and between lanthanide ions and the carboxylic acids. The competitive binding of lanthanide ions with the carboxylic acids and EBT leads to the change in absorbance and color of the solutions. To test the efficacy of our sensor array, the sensor array was exposed to five target lanthanide ions (La3+, Sm3+, Eu3+, Gd3+ and Yb3+) with diverse concentrations (10, 50, 100, 200, 300, 400, and 500 nM). Linear discriminant analysis (LDA) results show that the sensor array can identify the five lanthanide ions, with a low discrimination limit of 10 nM. More importantly, the sensor array realizes fast discrimination of lanthanide ions in river samples, showing potential in environmental monitoring. [ABSTRACT FROM AUTHOR]

A colorimetric array for metal ions is described that is based on the de-aggregation of papain-capped gold nanoparticles (AuNPs) for discrimination of metal ions. The functionalized AuNPs were used as colorimetric probes, and three chelating agents (tripolyphosphate, citrate, and ethylenediamine tetraacetate were employed as the recognition receptors. In the absence of metal ions (Fe3+, Cr3+, Co2+, Mg2+, Pb2+, Ca2+, Zn2+, Ti4+, and Sn4+ were studied), the capped AuNPs are well dispersed in solution. In the presence of these ions, the metal ions bind papain and cause the AuNPs to aggregate. This causes a color change from red to purple. Different chelating agents induce different affinities between metal ions and papain. This results in distinct colorimetric response patterns. Linear discriminant analysis is used to discriminate the various metal ions on a three-dimensional spatial dispersion graph. [ABSTRACT FROM AUTHOR]

There is growing interest in developing a high-performance sensor array for detection and discrimination of antioxidants owing to their widespread use and essential role in the human body. The present work unveils a novel colorimetric sensor array for colorimetric discrimination of antioxidants based on the red, green, and blue alteration (ΔRGB) pattern recognition. In this sensor array, three concentrations of AgNO3 were used as sensing elements, and gold nanoparticles (AuNPs) were employed as a colorimetric probe. In the presence of antioxidants, the sensor array produces unique colorimetric response patterns for the discrimination of these antioxidants due to different reactivities between three different concentrations of AgNO3 and each antioxidant, leading to deposition of different quantities of Ag nanoshells on the surface of AuNPs, enabling an excellent discrimination of six antioxidants (catechin, epigallocatechin 3-gallate, epicatechin, epigallocatechin, epicatechin 3-gallate, and gallocatechin) at a 20 nM level, when linear discriminant analysis (LDA), hierarchical cluster analysis (HCA), centroid diagram, spidergram, and color contour profiles were smartly combined. Furthermore, different concentrations of antioxidants and binary antioxidant mixtures, even ternary mixtures, could also be discriminated with this sensor array. Finally, the sensor array was successfully used for the discrimination of antioxidants in serum samples, demonstrating its potential applications in the diagnosis of antioxidant-related diseases. [ABSTRACT FROM AUTHOR]

The content of amino acids in human body is closely related to human health and plays an important role in physiological regulation and medical function. In order to recognize a variety of amino acids, an electrochemical sensor array based on poly(3,4-ethylenedioxythiophene) (PEDOT) electrode was established by using two kinds of electropolymerizers, i.e., citrate and the mixture of citrate and potassium nitrate as sensing elements. Different electropolymerizers lead result in different amount of negative charge on PEDOT electrode, which leads to different adsorption capacity for positive charge amino acids and different repulsion capacity for negative charge amino acids, bringing about obvious changes in differential pulse voltammetry (DPV) current. The five amino acids were accurately identified by linear discriminant analysis (LDA), and the electrochemical sensor array was successfully applied in the differential detection of amino acids in milk. [Display omitted] • 1. An electrochemical sensor array based on poly(3,4-ethylenedioxythiophene) electrode was established. • Citrate and the mixture of citrate and potassium nitrate as sensing elements of the sensor array. • The five amino acids were accurately identified by linear discriminant analysis. • The sensor array was successfully applied in the discrimination of amino acids in human urine. [ABSTRACT FROM AUTHOR]

Adding preservatives to cosmetics have raised many concerns about health issues. Here, we propose a fluorescence sensor array for preservative discrimination based on two types of CsPbBr 3 nanocrystals (NCs) modified with two different thiol compounds (i.e., 6-mercapto-1-hexanol (6-MCH) and dithiothreitol (DTT)). The redox reaction between the sulphydryl of 6-MCH and DTT and the carbon oxygen double bonds of preservatives will enhance the fluorescence intensity, which is due to the depletion of superficially decorated DTT and 6-MCH at CsPbBr 3. By manipulating this mechanism, different preservatives generate unique fluorescence fingerprint responses through the diverse interactions between targets and two CsPbBr 3 NCs. Thus, two types of preservatives, including four formaldehyde releasers and three parabens, were well distinguished at low concentration using linear discriminant analysis (LDA) by this sensor array. Remarkably, preservative identification in hand cream further proves the array's practical applicability in complex environment. • We propose a fluorescence sensor array for preservative discrimination based on sulphydryl-functionalized CsPbBr 3 NCs. • The redox reaction between the sulphydryl and the C O of preservatives enhance the fluorescence intensity. • Unique fluorescence fingerprints can be differentiated using linear discriminant analysis • Two types of preservatives, including 4 formaldehyde releasers and 3 parabens, were distinguished at low concentration. [ABSTRACT FROM AUTHOR]

There is an ongoing need to develop high-performance sensing strategy for detecting and discriminating antioxidants, primarily because of their role in medical diagnosis and food. In this regard, visual sensor arrays have been a subject of intensive research for such applications. To this end, we propose a colorimetric sensor array for accurate detection and identification of antioxidants, which is based on the reactions between 3,3′,5,5′-tetramethylbenzidine (TMB) and metal ions as sensing receptors and the interactions between antioxidants and oxidized TMB (oxTMB). Different target antioxidants displayed diverse reduction abilities toward the oxTMB, creating distinct colorimetric response patterns. The combination of colorimetric response variation at color and absorbance at 652 nm enables the sensor array to provide a unique fingerprint pattern to each antioxidant. Linear discriminant analysis (LDA) and centroid diagrams show that the sensor array can well detect and discriminate the eight tested antioxidants, including lipoic acid (LIA), cysteine (Cys), tannin (TA), ascorbic acid (AA), glutathione (GSH), Uric Acid (UA), glycine (Gly), and dopamine (DA), with a high sensitivity in the range of nanomolar concentrations. • A visual antioxidant sensor array based on metal ions as receptors is reported. • Different antioxidants showed diverse colorimetric responses toward oxTMB. • The sensor array can efficiently discriminate antioxidant mixtures. • The sensor array can identify 8 antioxidants (10–500 nM). [ABSTRACT FROM AUTHOR]

Flavonoids are closely related to human health. The identification and determination of flavonoids is an important and difficult issue. In view of this, this work puts forward a colorimetric sensing array for flavonoid discrimination based on gold nanoparticle (AuNP) aggregation. Two substances (acetylthiocholine iodide (Atc) and S-propionylthiocholine iodide (Ptc)) are hydrolyzed to choline (Chi) under the action of acetylcholinesterase (AcChE). Choline can agglomerate AuNPs by forming Au S bond with its own sulfhydryl functional group. The presence of flavonoids inhibits the AcChE activity, resulting in the formation of different amounts of Chi and different degrees of AuNP aggregation. Controlled by Atc and Ptc as array's receptors, the five flavonoids, including proanthocyanidin (Pro), naringenin (Nar), quercetin (que), flavone (Fla), and curcumin (Cur), were differentiated through their unique colorimetric "fingerprint" pattern-based recognition with the aid of linear discriminant analysis (LDA). The assay is validated under phosphate buffered saline (PBS) buffer conditions as well as in human serum. In addition, identification for diverse concentrations of single flavonoid and different binary and ternary mixtures of flavonoids were also demonstrated. • The identification and determination of flavonoids is an important and difficult issue. • A colorimetric sensor array for flavonoid discrimination based on gold nanoparticle aggregation is developed. • The presence of flavonoids inhibits the AcChE activity, resulting in different degrees of AuNP aggregation. • Identification for diverse concentrations of single flavonoid and flavonoid mixtures were demonstrated. [ABSTRACT FROM AUTHOR]

[Display omitted] • We developed a sensor array based on Co-N-C single-atom nanozymes for colorimetric discrimination of antioxidants. • Under two pH conditions, Co-N-C nanozymes produce different catalytic effects on the reaction between H 2 O 2 and TMB. • Linear discriminant analysis (LDA) was used to successfully analyze the 7 antioxidants. • The sensing strategy had excellent specificity and good application in human serum samples. Here we develop a simple and effective nose/tongue sensor array based on Co-N-C single-atom nanozymes-3,3′,5,5′-tetramethylbenzidine (TMB)-H 2 O 2 for colorimetric discrimination of antioxidants, which makes use of the color reaction of TMB oxidation by H 2 O 2 in two different pH (3.8 and 4.6) environments under the catalysis of Co-N-C nanoenzyme with peroxidase-like activity. Different antioxidants have varying reducing ability to the oxidation products of TMB (oxTMB), thus resulting in differential absorbance and color changes. Linear discriminant analysis (LDA) results indicate that the sensor array successfully identified 7 antioxidants, i.e., glutathione (GSH), ascorbic acid (AA), cysteine (Cys), tannin (TA), Catechin (C), dopamine (DA), and uric acid (UA) in both buffer and even serum samples. Additionally, the performance of the sensor array was validated with antioxidant mixtures, individual antioxidants with different concentrations, and target antioxidants and interfering substances. In general, the versatile sensor array based on Co-N-C single-atom nanozymes provides an excellent strategy for identifying a variety of antioxidants, which exhibits a broad application prospect in medical diagnosis. [ABSTRACT FROM AUTHOR]

• A colorimetric sensor array consists of 3 lanthanide ions as receptors and EBT as probes. • The complexes of EBT and lanthanide ions induce a color change from blue to pink. • Distinct colorimetric variations as "fingerprints" were obtained , and then identified by LDA. • The sensor array can differentiate 5 antioxidants at seven concentrations. A colorimetric sensor array consisting of three lanthanide ions (Eu3+, La3+, and Sm3+) as sensor elements and Eriochrome Black T (EBT) as signal readout was designed. In the presence of lanthanide ions, EBT and lanthanide ions form binary complexes, producing a color change from blue to pink. Upon the addition of antioxidants, the sensor array exhibits cross-reactive responses to antioxidants, the varying color and absorbance changes from the competitive binding from EBT and antioxidants to lanthanide ions were observed. Distinct colorimetric response variations as "fingerprints" were obtained on the sensor array, and then identified through linear discriminant analysis (LDA). LDA illustrates that the sensor array could differentiate five antioxidants (quinolinic acid (QA), 2,3-Pyridinedicarboxylic acid (PA), tannic acid (TCA), tartaric acid (TA), and gallic acid (GA)) at seven concentrations (5, 10, 50, 100, 150, 200, and 250 nM). This demonstrates the potential utility of the sensor array for diagnostic and food monitoring applications. [ABSTRACT FROM AUTHOR]